Akıllı Perakende Teknolojileri ve Algılanan Değer: Koşullu Süreç Analizi Örneği
Özet
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Referanslar
Abumalloh, R. A., Halabi, O., & Nilashi, M. (2024). The relationship between technology trust and behavioral intention to use Metaverse in baby monitoring Systems’ Design: Stimulus-Organism-Response (SOR) theory. Entertainment Computing, 100833.
Abu-Shanab, E. (2014), “Antecedents of trust in e-government services: an empirical test in Jordan”, Transforming Government: People, Process and Policy, Vol. 8 No. 4, pp. 480-499.
Achanta, H. S. (2019). Smart shelves: Next-generation retail technology which is being adopted by retailers and consumers. 15 Temmuz 2024 tarihinde https://www.linkedin.com/pulse/smart-shelves-next-generation-retail-technology-which-harita-achanta/ adresinden erişildi.
Açar, M. F. (2022). Artırılmış Gerçeklik Uygulamalarının Elektronik Alışveriş Deneyimine ve Satın Alma Niyetine Etkisinin İncelenmesi. (Yayın no. 744435) [Doktora Tezi, Osmaniye Korkut Ata Üniversitesi].
Adams, J. S. (1963). Towards an understanding of inequity. The journal of abnormal and social psychology, 67(5), 422.
Adapa, S., Fazal-e-Hasan, S. M., Makam, S. B., Azeem, M. M., & Mortimer, G. (2020). Examining the antecedents and consequences of perceived shopping value through smart retail technology. Journal of Retailing and Consumer Services, 52, 101901.
Adel, R. (2023). Value-based smart retail measurement model. International Journal of Management and Decision Making, 22(1), 27-52.
Adisa, Q. (2023, December). Smart Shelf Technology: A review of its role in shaping consumer acceptance and adoption through personalisation [Preprint]. Bournemouth University.
Agarwal, P., Malhotra, S. K., & Swami, S. (2025). The role of smart technologies in managing supply chain post pandemic: an exploratory scientific procedures and rationales for systematic literature review. Journal of Science and Technology Policy Management, 16(4), 706-732.
Agarwal, R., & Prasad, P. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215.
Aggarwal, A., Sharma, R., & Singh, P. (2025). Will I virtually try and buy? –exploring the adoption of virtual fitting rooms through the lens of perceived value, risk, and consumer characteristics. The International Review of Retail, Distribution and Consumer Research, 1-32.
Agrawal, S. R., & Mittal, D. (2024). Cashier-free checkout system: to improve in-store shopping experience. International Journal of Retail & Distribution Management, 52(5), 612-625.
Aguirre, E., Mahr, D., Grewal, D., De Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of retailing, 91(1), 34-49.
Ahmed, A., Rehman, U., Rizwan, M., Rafiq, M. Q., Nawaz, M., & Mumtaz, A. (2013). Moderating role of perceived risk and innovativeness between online shopping attitude and intention. Journal of Basic and Applied Scientific Research, 3(11), 310-323.
Ahmmadi, P., Rahimian, M., & Movahed, R. G. (2021). Theory of planned behavior to predict consumer behavior in using products irrigated with purified wastewater in Iran consumer. Journal of Cleaner Production, 296, 126359.
Aiolfi, S. (2023). How shopping habits change with artificial intelligence: smart speakers' usage intention. International Journal of Retail & Distribution Management, 51(9/10), 1288-1312.
Aithal, R. K., Choudhary, V., Maurya, H., Pradhan, D., & Sarkar, D. N. (2023). Factors influencing technology adoption amongst small retailers: Insights from thematic analysis. International Journal of Retail & Distribution Management, 51(1), 81-102.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (2000). Attitudes and the attitude-behavior relation: Reasoned and automatic processes. European review of social psychology, 11(1), 1-33.
Al-Abdullatif, A. M. (2023). Modeling students’ perceptions of chatbots in learning: Integrating technology acceptance with the value-based adoption model. Education Sciences, 13(11), 1151.
Alabed, A., Javornik, A., Gregory-Smith, D., & Casey, R. (2024). More than just a chat: A taxonomy of consumers’ relationships with conversational AI agents and their well-being implications. European Journal of Marketing, 58(2), 373-409.
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44.
Alan, A. K., Kabadayi, E. T., & Yilmaz, C. (2016). Cognitive and affective constituents of the consumption experience in retail service settings: effects on store loyalty. Service Business, 10(4), 715-735.
Alanazi, T. M., & Alenazi, S. A. (2023). The Impact of Using Smart Fashion Mirrors on Perceived Customer Satisfaction in Fashion Retailing Stores. Information Science Letters An International Journal, 12(6), 2401-2409.
Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R. E., & Al-Okaily, M. (2022). An empirical investigation of reasons influencing student acceptance and rejection of mobile learning apps usage. Sustainability, 14(7), 4325.
Alhammadi, K., Marashdeh, H., & Hussain, M. (2023). Assessing the effect of innovation diffusion and technology readiness theories on attitude, behavioral intention and implementation of smart learning. Cross Cultural & Strategic Management, 30(4), 657-675.
Al-Jabri, I.M. and Roztocki, N. (2015), “Adoption of ERP systems: does information transparency matter?”, Telematics and Informatics, Vol. 32 No. 2, pp. 300-310.
Al-Jundi, S. A., Shuhaiber, A., & Augustine, R. (2019). Effect of consumer innovativeness on new product purchase intentions through learning process and perceived value. Cogent Business & Management, 6(1), 1698849.
Alkawsi, G., Ali, N. A., & Baashar, Y. (2021). The moderating role of personal innovativeness and users experience in accepting the smart meter technology. Applied Sciences, 11(8), 3297.
Allurwar, N., Nawale, B., & Patel, S. (2016). Beacon for proximity target marketing. Int. J. Eng. Comput. Sci, 15(5), 16359-16364.
Almaiah, M. A., Al-Otaibi, S., Shishakly, R., Hassan, L., Lutfi, A., Alrawad, M., ... & Alghanam, O. A. (2023). Investigating the role of perceived risk, perceived security and perceived trust on smart m-banking application using SEM. Sustainability, 15(13), 9908.
Alshibly, H. H. (2015). Customer perceived value in social commerce: An exploration of its antecedents and consequences. Journal of Management Research, 7(1), 17-37.
Alves, C., & Luís Reis, J. (2020, January). The intention to use e-commerce using augmented reality-the case of IKEA place. In International conference on information technology & systems (pp. 114-123). Cham: Springer International Publishing.
Amaro, S., & Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism management, 46, 64-79.
Ameen, N., Hosany, S., & Paul, J. (2022). The personalisation-privacy paradox: Consumer interaction with smart technologies and shopping mall loyalty. Computers in Human Behavior, 126, 106976.
Ameen, N., Tarhini, A., Shah, M., & Madichie, N. O. (2021). Going with the flow: smart shopping malls and omnichannel retailing. Journal of Services Marketing, 35(3), 325-348.
Amoroso, D. L., Ackaradejruangsri, P., & Lim, R. A. (2018). The impact of inertia as mediator and antecedent on consumer loyalty and continuance intention. In Mobile Commerce: Concepts, Methodologies, Tools, and Applications (pp. 960-981). IGI Global.
Anand, A. (May 11, 2023). How Augmented Reality is revolutionising the way we shop. 15 Temmuz 2024 tarihinde https://thedailyguardian.com/how-augmented-reality-is-revolutionising-the-way-we-shop/ adresinden erişildi.
Anwar, A., Thongpapanl, N., & Ashraf, A. R. (2021). Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage. Journal of Strategic Marketing, 29(8), 722-742.
Arachchi, H. D. M., & Samarasinghe, G. D. (2023). Impulse purchase intention in an AI-mediated retail environment: Extending the TAM with attitudes towards technology and innovativeness. Global Business Review, 09721509231197721.
Arfi, W. B., Nasr, I. B., Khvatova, T., & Zaied, Y. B. (2021). Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost. Technological Forecasting and Social Change, 163, 120437.
Arsenijevic, U., & Jovic, M. (2019, September). Artificial intelligence marketing: chatbots. In 2019 international conference on artificial intelligence: applications and innovations (IC-AIAI) (pp. 19-193). IEEE.
Arslan, S. (2022). Hizmet İnovasyonu Kapsamında Havalimanı Hizmet Süreçlerinde İnsan – Teknoloji Etkileşiminin İncelenmesi. (Yayın no. 744437) [Doktora Tezi, Osmaniye Korkut Ata Üniversitesi].
Ashrafi, D. M., & Easmin, R. (2023). The Role of Innovation Resistance and Technology Readiness in the Adoption of QR Code Payments Among Digital Natives: A Serial Moderated Mediation Model. International Journal of Business Science & Applied Management, 18(1).
Atm. (2024). Virtual Reality Cadillac in VR. 15 Temmuz 2024 tarihinde https://allthingsmedia.com/work/projecttype/55# adresinden erişildi.
Auganix. (2019, November 13). Spotify app now live on Magic Leap World. Auganix.org. 10 Temmuz tarihinde https://www.auganix.org/spotify-app-now-live-on-magic-leap-world/ adresinden erişildi.
Avcılar, M. Y. (2010). Tüketici temelli perakendeci değerinin ölçümü: Adana ilinde bir araştırma. Doktora tezi, Niğde Üniversitesi, Niğde.
Avcılar, M. Y., Güreş, N., Bozkurt, S., & Açar, M. F. (2021). Çevrimiçi Alışveriş Bağlamında Tüketiciler Tarafından Algılanan Gizlilik Endişesinin Kişisel Bilgi Koruma Davranışına Etkisi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 30(3), 181-197.
Aw, E. C. X., Basha, N. K., Ng, S. I., & Sambasivan, M. (2019). To grab or not to grab? The role of trust and perceived value in on-demand ridesharing services. Asia Pacific Journal of Marketing and Logistics, 31(5), 1442-1465.
Aw, E. C. X., Tan, G. W. H., Cham, T. H., Raman, R., & Ooi, K. B. (2022). Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants. Technological Forecasting and Social Change, 180, 121711.
Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingeness to be profiled online for personalization. Management Information Systems Quarterly, 30(1), 3.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.
Baek, Tae Hyun, Chan Y. Yoo, and Sukki Yoon (2015), “The Impact of Augmented Reality on Self-brand Connections and Purchase Intentions,” in Proceedings of the 2015 Conference of the American Academy of Advertising. Michelle R. Nelson, editor. Chicago, IL: American Academy of Advertising.
Bagozzi, R. P. (1981). An examination of the validity of two models of attitude. Multivariate behavioral research, 16(3), 323-359.
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the association for information systems, 8(4), 3.
Bai, L., Wu, J., Sha, Y., & Gong, S. (2024). Perceived utilitarian and hedonic values: Understanding Chinese consumers' street food purchase intentions. International Journal of Gastronomy and Food Science, 38, 101046.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman and Company.
Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioural intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67-102.
Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing letters, 2(2), 159-170.
Bauer, C., Dohmen, P., & Strauss, C. (2011, September). Interactive digital signage-an innovative service and its future strategies. In 2011 International Conference on Emerging Intelligent Data and Web Technologies (pp. 137-142). IEEE.
Bauer, R. A. (1960). Consumer Behavior as Risk Taking. Risk Taking and Information Handling in Consumer Behavior. D. F. Cox. Cambridge, Mass, Harvard University Press. pp. 389-398.
Bauer, R. A., & Cox, D. F. (1967). Rational vs emotional communications: a new approach. Risk Taking & Information Handling in Consumer Behavior. Graduate School of Business Administration, Harvard University: Boston, USA, 469-486.
Beck, M., & Crié, D. (2018). I virtually try it… I want it! Virtual Fitting Room: A tool to increase on-line and off-line exploratory behavior, patronage and purchase intentions. Journal of Retailing and Consumer Services, 40, 279-286.
Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2014). Trust transfer in the continued usage of public e-services. Information & Management, 51(6), 627-640.
Benbasat, I., and Barki, H. 2007. "Quo Vadis, ТАМ?" Journal of the AIS, 8(4), pp. 212-218.
Benoit, S., Altrichter, B., Grewal, D., & Ahlbom, C. P. (2024). Autonomous stores: How levels of in-store automation affect store patronage. Journal of Retailing, 100(2), 217-238.
Bettman, J.R. (1979), An Information Processing Theory of Consumer Choice, Addison-Wesley, Reading, MA.
Bhattacharya, S., Sharma, R. P., & Gupta, A. (2023). Does e-retailer's country of origin influence consumer privacy, trust and purchase intention?. Journal of Consumer Marketing, 40(2), 248-259.
Bollen, K. A. (1989), Structural equations with latent variables. New York: John Wiley & Sons Inc.
Böttcher, T., Kersten, T., Weking, J., Hein, A., & Krcmar, H. (2023). The Interdependencies between Customer Journey, Business Model, and Technology in Creating Digital Customer Experiences–A Configurational Analysis at the Example of Brick-and-Mortar Retail.
Brengman, M., Willems, K., De Gauquier, L., & Vanderborght, B. (2024). Media richness effectiveness: Humanoid robots with or without voice, or just a tablet kiosk?. Psychology & Marketing, 41(4), 734-753.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS quarterly, 399-426.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.
Bruner, G. C. (1998). Standardization & justification: Do Aad scales measure up?. Journal of Current Issues & Research in Advertising, 20(1), 1-18.
Bulmer, S., Elms, J., & Moore, S. (2018). Exploring the adoption of self-service checkouts and the associated social obligations of shopping practices. Journal of Retailing and Consumer Services, 42, 107-116.
Burns, A. C. & Bush, R. F. (2015). Pazarlama araştırması. Çeviri Editörü: Fatma Demirci Orel, Ankara: Nobel Yayınları.
Byun, S., & Ha, Y. (2020). Consumer Perceptions on SST in Retail Atmosphere: An application of SOR framework. Journal of Distribution Science, 18(3), 87-97.
Cannizzaro, S., Procter, R., Ma, S., & Maple, C. (2020). Trust in the smart home: Findings from a nationally representative survey in the UK. Plos one, 15(5), e0231615.
Cetto, A., Klier, J., & Klier, M. (2015). Why should I do it myself? Hedonic and utilitarian motivations of customers' intention to use self-service technologies. ECIS 2015 Completed Research Papers. Paper 25.
Chai, J. C. Y., Malhotra, N. K., & Alpert, F. (2015). A two-dimensional model of trust–value–loyalty in service relationships. Journal of retailing and consumer services, 26, 23-31.
Chapman, H., & Gillespie, S. M. (2019). The Revised Conflict Tactics Scales (CTS2): A review of the properties, reliability, and validity of the CTS2 as a measure of partner abuse in community and clinical samples. Aggression and violent behavior, 44, 27-35.
Chaulagain, S. (2024). Hospitality in healthcare: the impacts of utilitarian and hedonic value perceptions on behavioral intentions in the context of medical hotels. Journal of Hospitality and Tourism Insights, 7(5), 3167-3184.
Cheah, J. H., Lim, X. J., Ting, H., Liu, Y., & Quach, S. (2022). Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing. Journal of Retailing and Consumer Services, 65, 102242.
Chen, C. F., & Chen, P. C. (2011). Applying the TAM to travelers’ usage intentions of GPS devices. Expert Systems with Applications, 38(5), 6217-6221.
Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational research methods, 4(1), 62-83.
Chen, H. T., & Chen, W. (2015). Couldn't or wouldn't? The influence of privacy concerns and self-efficacy in privacy management on privacy protection. Cyberpsychology, Behavior, and Social Networking, 18(1), 13-19.
Chen, J. C., & Ha, Q. A. (2019). Factors affecting the continuance to share location on social networking sites: The influence of privacy concern, trust, benefit and the moderating role of positive feedback and perceived promotion innovativeness. Contemporary Management Research, 15(2), 89-121.
Chen, J. V., Yen, D. C., & Chen, K. (2009). The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics. Information & Management, 46(4), 241-248.
Chen, J., & Chang, Y. W. (2023). How smart technology empowers consumers in smart retail stores? The perspective of technology readiness and situational factors. Electronic Markets, 33(1), 1.
Chen, K., Chen, J. V., & Yen, D. C. (2011). Dimensions of self-efficacy in the study of smart phone acceptance. Computer Standards & Interfaces, 33(4), 422-431.
Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & management, 39(8), 705-719.
Chen, N., Liu, X., Zhai, Y., & Hu, X. (2023). Development and validation of a robot social presence measurement dimension scale. Scientific Reports, 13(1), 2911.
Chen, S. C., Chung, K. C., & Tsai, M. Y. (2019). How to achieve sustainable development of mobile payment through customer satisfaction—the SOR model. Sustainability, 11(22), 6314.
Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial management & data systems, 107(1), 21-36.
Chen, Y., Lu, Y., Wang, B., & Pan, Z. (2019). How do product recommendations affect impulse buying? An empirical study on WeChat social commerce. Information & Management, 56(2), 236-248.
Chen, Z., Dubinsky, A.J., 2003. A conceptual model of perceived customer value in ecommerce: a preliminary investigation. Psychol. Mark. 20 (4), 323–337.
Cheshin, A., Amit, A., & Van Kleef, G. A. (2018). The interpersonal effects of emotion intensity in customer service: Perceived appropriateness and authenticity of attendants' emotional displays shape customer trust and satisfaction. Organizational Behavior and Human Decision Processes, 144, 97-111.
Cheung, M. F., & To, W. M. (2019). An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior. Journal of Retailing and Consumer Services, 50, 145-153.
Childers, Terry L., Christopher L. Carr, Joann Peck, and Stephen Carson (2001), “Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior,” Journal of Retailing, 77, 4, 511–35.
Chiles, T. H., & McMackin, J. F. (1996). Integrating variable risk preferences, trust, and transaction cost economics. Academy of management review, 21(1), 73-99.
Choe, J. Y., Kim, J. J., & Hwang, J. (2021). Innovative marketing strategies for the successful construction of drone food delivery services: Merging TAM with TPB. Journal of Travel & Tourism Marketing, 38(1), 16-30.
Choi, M., Choi, Y., Nosrati, S., Hailu, T. B., & Kim, S. (2023). Psychological dynamics in the metaverse: evaluating perceived values, attitude, and behavioral intention in metaverse events. Journal of Travel & Tourism Marketing, 40(7), 602-618.
Choi, M., Law, R., & Heo, C. Y. (2018). An investigation of the perceived value of shopping tourism. Journal of travel Research, 57(7), 962-980.
Chou, C. H., & Lıı, Y. S. (2020). Affordance-Based Vıew Of The Effects Of Self-Servıce Technology Interactıons On Post-Purchase Behavıoral Intentıon. Journal of Management Marketing and Logistics, 7(1), 1-17.
Chuawatcharin, R., & Gerdsri, N. (2019). Factors influencing the attitudes and behavioural intentions to use just walk out technology among Bangkok consumers. International journal of public sector performance management, 5(2), 146-163.
Chun, H., Lee, H., & Kim, D. (2012). The integrated model of smartphone adoption: Hedonic and utilitarian value percep tions of smartphones among Korean college students. Cyberpsychology, Behavior, and Social Networking, 15(9), 473–479.
Ciunova-Shuleska, A., Osakwe, C. N., Palamidovska-Sterjadovska, N., Ogunmokun, O. A., & Adeola, O. (2024). Fostering consumer acceptance of smart glasses: the moderating role of price sensitivity. Technology Analysis & Strategic Management, 1-14.
Civelek, M. E. (2018). Yapısal eşitlik modellemesi metodolojisi. İstanbul: Beta.
Collier, J. E., & Barnes, D. C. (2015). Self-service delight: Exploring the hedonic aspects of self-service. Journal of business research, 68(5), 986-993.
Collier, J. E., & Sherrell, D. L. (2010). Examining the influence of control and convenience in a self-service setting. Journal of the Academy of Marketing Science, 38, 490-509.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 189-211.
Craik, D., 2018. Virtual reality shop assistants will serve high street shoppers in 5 years. 20 Ağustos 2024 tarihinde https://businessadvice.co.uk/growth/high-streets-initiative/virtual-reality-shop-assistants-high-street-artificial-intelligence/ adresinden erişildi.
Csikszentmihalyi, M. (1975). Beyond, Boredom and anxiety. San Francisco: JosseyBass.
Culnan, M. J., & Bies, R. J. (2003). Consumer privacy: Balancing economic and justice considerations. Journal of social issues, 59(2), 323-342.
Cunningham, L. F., Gerlach, J., & Harper, M. D. (2005). Perceived risk and e-banking services: An analysis from the perspective of the consumer. Journal of Financial services marketing, 10(2), 165-178.
da Silva, V.L., Kovaleski, J.L. and Pagani, R.N. (2019), “Technology transfer in the supply chain oriented to industry 4.0: a literature review”, Technology Analysis and Strategic Management, 31(5), 546-562.
Dabholkar, P. A., Bobbitt, L. M., & Lee, E. J. (2003). Understanding consumer motivation and behavior related to self-scanning in retailing: Implications for strategy and research on technology-based self-service. International Journal of Service Industry Management, 14(1), 59–95.
Darvasi, G., Spann, M., & Zubcsek, P. P. (2024). How observation of other shoppers increases the in-store use of mobile technology. Journal of Retailing and Consumer Services, 77, 103694.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace . Journal of applied social psychology, 22(14), 1111-1132.
De Gauquier, L., Brengman, M., Willems, K., Verhulst, N., Cao, H. L., & Vanderborght, B. (2020). Should service robots and frontline employees collaborate in retail-customer interactions?. In 27th International Conference on Recent Advances in Retailing and Consumer Science. Recent Advances in Retailing and Consumer Science (conference).
de Kervenoael, R., Schwob, A., Hasan, R., & Kemari, S. (2024). Food choice and the epistemic value of the consumption of recommender systems: the case of Yuka’s perceived value in France. Behaviour & Information Technology, 43(7), 1381-1400.
De Kervenoael, R., Schwob, A., Hasan, R., & Psylla, E. (2024). SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm. Journal of Retailing and Consumer Services, 76, 103589.
De Ruyter, J. K., Wetzels, M., Lemmink, J., & Mattson, J. (1997). The dynamics of the service delivery process: a value-based approach. International Journal of Research in Marketing, 14, 231–243.
de Souza, D. E. S., & Baldanza, R. F. (2018). The e-consumer in light of the perceived value theory: a study on the acceptance of mobile commerce. Base Revista de Administração e Contabilidade da UNISINOS, 15(3), 238-253.
Deng, Z., Mo, X., & Liu, S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International journal of medical informatics, 83(3), 210-224.
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of trust and privacy concerns on technology acceptance in healthcare: an Indian perspective. International journal of medical informatics, 141, 104164.
Diamante O. S. (February 28, 2024). The state of smart stores. 15 Temmuz 2024 tarihinde https://www.mobilityplaza.org/news/37095#:~:text=By%202024%2C%20it's%20anticipated%20that,and%20approximately%207%2C250%20in%202023.Diamante adresinden erişildi.
Ding, Z., Huang, X., Wang, X., Chen, Q., Zhang, J., & Wu, Z. (2024). Investigating the Determinants of Construction Stakeholders’ Intention to Use Construction and Demolition Waste Recycling Products Based on the SOR Model in China. Sustainability, 16(6), 2262.
Dogra, P., A. K. Kaushik, P. Kalia, and A. Kaushal. 2023. “Influence of Augmented Reality on Shopping Behavior.”Management Decision 61 (7): 2073–2098.
Donovan, Robert J. and John R. Rossiter (1982). "Store Atmosphere: An Environmental Psychology Approach." Journal of Retailing, 58(Spring): 34-57.
Duarte, P., Silva, S. C., Linardi, M. A., & Novais, B. (2022). Understanding the implementation of retail self-service check-out technologies using necessary condition analysis. International Journal of Retail & Distribution Management, 50(13), 140-163.
Dubois, E., Gray, P., & Nigay, L. (Eds.). (2009). The engineering of mixed reality systems. Springer Science & Business Media.
Dunn, W. W. (1989) Chapter 7: Validity, Physical & Occupational Therapy In Pediatrics, 9(1), 149-168.
D'Uonno, A. (2023). Smart Digital Signage With Facial Recognition as In-Store Personalization Enhancer: A Study on Italian Consumers’ Perceptions and Elasticity to Be Recognized During the Shopping Experience (Master's thesis, Universidade Catolica Portuguesa (Portugal)).
Đurđević, N., Labus, A., Barać, D., Radenković, M., & Despotović-Zrakić, M. (2022). An approach to assessing shopper acceptance of beacon triggered promotions in smart retail. Sustainability, 14(6), 3256.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information systems frontiers, 21, 719-734.
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich college publishers.
eBay Inc. (2014, 12 Kasım). eBay Inc., Rebecca Minkoff deliver next generation shopping. eBay Inc. Haberler. 20 Ağustos 2024 tarihinde https://www.ebayinc.com/stories/news/ebay-inc-rebecca-minkoff-deliver-next-generation-shopping/ adresinden erişildi.
ElSayad, G., & Mamdouh, H. (2024). Are young adult consumers ready to be intelligent shoppers? The importance of perceived trust and the usefulness of AI-powered retail platforms in shaping purchase intention. Young Consumers.
Elsotouhy, M. M., Mobarak, A. M., Dakrory, M. I., Ghonim, M. A., & Khashan, M. A. (2025). An integrated model predicting the drivers of mobile payment outcomes: evidence from emerging markets. EuroMed Journal of Business, 20(2), 325-353.
Erdmann, A., Mas, J. M., & Arilla, R. (2023). Value‐based adoption of augmented reality: A study on the influence on online purchase intention in retail. Journal of Consumer Behaviour, 22(4), 912-932.
Fakfare, P., Rittichainuwat, B., Manosuthi, N., & Wattanacharoensil, W. (2024). Customer service experience for a smart automated coffee vending machine. International Journal of Retail & Distribution Management.
Fan, X., Ning, N., & Deng, N. (2020). The impact of the quality of intelligent experience on smart retail engagement. Marketing Intelligence & Planning, 38(7), 877-891.
Faqih, K. M. (2020). The Influence Of Perceıved Usefulness, Socıal Influence, Internet Self-Effıcacy And Compatıbılıty On Users’ıntentıons To Adopt E-Learnıngy: Investıgatıng The Moderatıng Effects Of Culture. International E-Journal of Advances in Education, 5(15), 300-320.
Farooq, M. S., Salam, M., Jaafar, N., Fayolle, A., Ayupp, K., Radovic-Markovic, M., & Sajid, A. (2017). Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2. Interactive Technology and Smart Education, 14(4), 329-348.
Fatima, J. K., Ghandforoush, P., Khan, M., & Masico, R. D. (2017). Role of innovativeness and self-efficacy in tourism m-learning. Tourism Review, 72(3), 344-355.
Fatima, T., Kashif, S., Kamran, M., & Awan, T. M. (2021). Examining factors influencing adoption of m-payment: extending UTAUT2 with perceived value. International Journal of Innovation, Creativity, and Change, 15(8), 276-299.
Faust, F., Roepke, G., Catecati, T., Araujo, F., Ferreira, M. G. G., & Albertazzi, D. (2012). Use of augmented reality in the usability evaluation of products. Work, 41(S1), 1164-1167.
Fauzi, A. A., & Sheng, M. L. (2021). Ride-hailing apps' continuance intention among different consumer groups in Indonesia: the role of personal innovativeness and perceived utilitarian and hedonic value. Asia Pacific Journal of Marketing and Logistics, 33(5), 1195-1219.
Fazal-e-Hasan, S. M., Amrollahi, A., Mortimer, G., Adapa, S., & Balaji, M. S. (2021). A multi-method approach to examining consumer intentions to use smart retail technology. Computers in Human Behavior, 117, 106622.
Fazal-e-Hasan, S. M., Mortimer, G., Adapa, S., Adil, M., Makam, S. B., Sadiq, M., & Amrollahi, A. R. (2025). Examining human interactions with smart Retail technology: a hybrid SEM-fsQCA investigation. International Journal of Human–Computer Interaction, 41(8), 4541-4551.
Featherman, M. S., & Hajli, N. (2016). Self-service technologies and e-services risks in social commerce era. Journal of Business Ethics, 139(2), 251-269.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474.
Field, A. (2009). Discovering statistics using SPSS (Third edition). London: Sage.
Fishbein, M., & Ajzen, I. (1975). Belief. Attitude, Intention, and Behavior: An introduction to theory and research, 50(2), 179-221.
Flacandji, M., & Vlad, M. (2022). The relationship between retailer app use, perceived shopping value and loyalty: the moderating role of deal proneness. International Journal of Retail & Distribution Management, 50(8/9), 981-995.
Flavián, C., Ibáñez-Sánchez, S., & Orús, C. (2019). The impact of virtual, augmented and mixed reality technologies on the customer experience. Journal of business research, 100, 547-560.
Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Foroudi, P., Cuomo, M. T., & Foroudi, M. M. (2020). Continuance interaction intention in retailing: Relations between customer values, satisfaction, loyalty, and identification. Information Technology & People, 33(4), 1303-1326.
Foroudi, P., Gupta, S., Sivarajah, U., & Broderick, A. (2018). Investigating the effects of smart technology on customer dynamics and customer experience. Computers in Human Behavior, 80, 271-282.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business research, 56(11), 867-875.
Frankel, A., de Villiers, M. V., & Swinburn, K. (2023). Is Your Store Smart Enough? The Impact Of Smart Retaıl Technology On The Modern Consumer Experıence. In Emcb 2023 Conference Proceedıngs (p. 223).
Fricke, A., Pieper, N., & Woisetschläger, D. M. (2024). Smartness unleashed: a multilevel model for understanding consumers' perceptions and adoption across a myriad of smart offerings. Journal of Service Theory and Practice, 34(2), 163-190.
Galil, E. (2022). Improving the customer experience with virtual and augmented reality. 15 Temmuz 2024 tarihinde https://venturebeat.com/datadecisionmakers/improving-the-customer-experience-with-virtual-and-augmented-reality/ adresinden erişildi.
Galvin, D. (2024). What is smart retail technology? 15 Temmuz 2024 tarihinde https://www.quora.com/What-is-smart-retail-technology adresinden erişildi.
Gao, J., Ren, L., Yang, Y., Zhang, D., & Li, L. (2022). The impact of artificial intelligence technology stimuli on smart customer experience and the moderating effect of technology readiness. International Journal of Emerging Markets, 17(4), 1123-1142.
Garaus, M., & Wagner, U. (2019). Let me entertain you–Increasing overall store satisfaction through digital signage in retail waiting areas. Journal of Retailing and Consumer Services, 47, 331-338.
Garaus, M., Wolfsteiner, E., & Wagner, U. (2016). Shoppers' acceptance and perceptions of electronic shelf labels. Journal of Business Research, 69(9), 3687-3692.
Garrouch, K., Mzoughi, M. N., & Chaieb, S. (2024). The effect of online deception on behavioral intention towards e-tailers: the mediating role of e-shopping value and e-trust. Journal of Decision Systems, 33(3), 477-500.
Gaukler, G. M., & Seifert, R. W. (2007). Applications of RFID in supply chains. Trends in supply chain design and management: technologies and methodologies, 29-48.
Gaur, L., Singh, G., & Ramakrishnan, R. (2017). Understanding Consumer Preferences using IoT SmartMirrors. Pertanika Journal of Science & Technology, 25(3).
Gegez, A. E. (2015). Pazarlama Araştırmaları, İstanbul: Beta Yayınevi, 5.
Giovanis, A., Assimakopoulos, C., & Sarmaniotis, C. (2019). Adoption of mobile self-service retail banking technologies: The role of technology, social, channel and personal factors. International Journal of Retail & Distribution Management, 47(9), 894-914.
Girolami, M., Mavilia, F., & Delmastro, F. (2020). Sensing social interactions through BLE beacons and commercial mobile devices. Pervasive and Mobile Computing, 67, 101198.
Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of management annals, 14(2), 627-660.
Goel, P., Garg, A., Sharma, A., & Rana, N. P. (2022). I won't touch money because it is dirty: examining customer's loyalty toward M-payment. International Journal of Bank Marketing, 40(5), 992-1016.
Goudarzian, A. H. (2023). Challenges and recommendations of exploratory and confirmatory factor analysis: A narrative review from a nursing perspective. Journal of Nursing Reports in Clinical Practice, 1(3), 133-137.
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: foundations and developments. Electronic markets, 25(3), 179-188.
Grewal, D., Gauri, D.K., Roggeveen, A.L. and Sethuraman, R. (2021), “Strategising retailing in the new technology era”, Journal of Retailing, Vol. 97 No. 1, pp. 6-12.
Grewal, D., Noble, S. M., Roggeveen, A. L., & Nordfalt, J. (2020). The future of in-store technology. Journal of the Academy of Marketing Science, 48(1), 96-113.
Grewal, D., Roggeveen, A. L., & Nordfält, J. (2017). The future of retailing. Journal of retailing, 93(1), 1-6.
Guo, J., & Li, L. (2022). Exploring the relationship between social commerce features and consumers’ repurchase intentions: the mediating role of perceived value. Frontiers in psychology, 12, 775056.
Gupta, P., Zhang, F., Chauhan, S., Goyal, S., Bhardwaj, A. K., & Gajpal, Y. (2024). Understanding small and medium enterprises’ behavioral intention to adopt social commerce: a perceived value perspective. Journal of Enterprise Information Management, 37(3), 959-992.
Gupta, S., & Kim, H. W. (2010). Value‐driven Internet shopping: The mental accounting theory perspective. Psychology & Marketing, 27(1), 13-35.
Güreş, N., & Arslan, S. (2021). Birleştirilmiş Teknoloji Kabul ve Kullanım Teorisi (UTAUT). In M. İ. Yağcı & S. Çabuk (Eds.), Pazarlama teorileri 2 (pp. 353–386). Kapital Medya Hizmetleri.
Ha, M. T., Vo, V. B., & Nguyen, V. V. (2025). Effects of Technology Adaptation and Perceived Value on Continuance Intention in M-commerce of Gen Z: Innovativeness as a Moderator. SAGE Open, 15(1), 21582440251328098.
Ha, N., Nguyen, T., Nguyen, T. and Nguyen, T. (2019), “The effect of trust on consumers’ online purchase intention: an integration of TAM and TPB”, Management Science Letters, Vol. 9 No. 9, pp. 1451-1460.
Habib, S., & Hamadneh, N. N. (2021). Impact of perceived risk on consumers technology acceptance in online grocery adoption amid COVID-19 pandemic. Sustainability, 13 (18), 10221.
Hafner, P., Voelz, A., Strauss, C. (2021): Smart Retailing Technologies to counter current Retail Challenges - An Assessment of Impacts. In: E Pardede, M.-I. Santiago, P. D. Haghighi, M. Steinbauer, I. Khalil, G. Kotsis (eds.) iiWAS2021 & MoMM2021 Proceedings, ACM/ICPS, p. 592-601.
Hair, J. F, Black, W. C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ: Pearson.
Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2019). Multivariate data analysis (Eighth edition). Hampshire: Cengage Learning EMEA
Hamid, S., & Azhar, M. (2023). Behavioral intention to order food and beverage items using e-commerce during COVID-19: an integration of theory of planned behavior (TPB) with trust. British Food Journal, 125(1), 112-131.
Hao Suan Samuel, L., Balaji, M. S., & Kok Wei, K. (2015). An investigation of online shopping experience on trust and behavioral intentions. Journal of Internet Commerce, 14(2), 233-254.
Haque, A., Karim, W., Ulfy, M. A., Anis, Z., & Huda, N. (2020). The Effects Of Hedonıc, Utılıtarıan And Socıal Value On Generatıon Z-Shoppıng Intentıon: A Medıatıng Role Of E-Satısfactıon. Journal of Critical Reviews, 7(10), 231-238.
Hasan, A. A. T. (2022). Technology attachment, e-Attitude, perceived value, and behavioral intentions towards Uber-ridesharing services: the role of hedonic, utilitarian, epistemic, and symbolic value. Journal of Contemporary Marketing Science, 5(3), 239-265.
Hasan, M. K., Ray, R., & Neela, N. M. (2023). Tourists’ behavioural intention in coastal tourism settings: Examining the mediating role of attitude to behaviour. Tourism Planning & Development, 20(6), 955-972.
Hasan, R., Shams, R., & Rahman, M. (2021). Consumer trust and perceived risk for voicecontrolled artificial intelligence: The case of Siri. Journal of Business Research, 131, 591–597
Hassenzahl, M., & Tractinsky, N. (2006). User experience-a research agenda. Behaviour & information technology, 25(2), 91-97.
Hasty, C., & Maner, J. K. (2020). Power, status, and social judgment. Current Opinion in Psychology, 33, 1-5.
Hateftabar, F. (2023). Analyzing the adoption of online tourism purchases: Effects of perceived tourism value and personal innovativeness. Current Issues in Tourism, 26(11), 1861-1877.
Hauser, M. (2019). Smart Store Applications in Fashion Retail (Doctoral dissertation, Universität Würzburg, Würzburg, Almanya).
Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (Methodology in the Social Sciences) (2. b.). New York: The Guilford Press.
Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3. b.). New York: The Guilford Press.
Heijden, H. V. D., & Ogertschnig, M. (2005). Effects of context relevance and perceived risk on user acceptance of mobile information services. ECIS 2005 Proceedings, 7.
Heikkilä, P., Lammi, H., Niemelä, M., Belhassein, K., Sarthou, G., Tammela, A., ... & Alami, R. (2019, November). Should a robot guide like a human? A qualitative four-phase study of a shopping mall robot. In International Conference on Social Robotics (pp. 548-557). Cham: Springer International Publishing.
Hilken, T., De Ruyter, K., Chylinski, M., Mahr, D., & Keeling, D. I. (2017). Augmenting the eye of the beholder: exploring the strategic potential of augmented reality to enhance online service experiences. Journal of the Academy of Marketing Science, 45(6), 884-905.
Hilken, T., Heller, J., Chylinski, M., Keeling, D. I., Mahr, D., & de Ruyter, K. (2018). Making omnichannel an augmented reality: the current and future state of the art. Journal of Research in Interactive Marketing, 12(4), 509-523.
Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of consumer research, 7(3), 283-295.
Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92–101.
Hoffman M. (2020). Improve Retail Operations with 7 Technologies. 15 Temmuz 2024 tarihinde https://www.jabil.com/blog/retail-operational-efficiency.html adresinden erişildi.
Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of consumer research, 9(2), 132-140.
Holbrook, M.B. (1999), Consumer Value: A Framework for Analysis and Research, Routledge, New York, NY.
Holland, M. (2017). Detego aims to support fashion retailers with smart fitting room technology and chatbot software. The Moodie Davitt Report. 10 Ağustos tarihinde https://moodiedavittreport.com/detego-aims-to-support-fashion-retailers-with-smart-fitting-room-technology-and-chatbot-software/ adresinden erişildi.
Homer, P. M., & Kahle, L. R. (1988). A structural equation test of the value-attitude-behavior hierarchy. Journal of Personality and social Psychology, 54(4), 638.
Hong, E., Park, J., & Lim, B. (2025). Exploring perceived value's impact on attitudes in autonomous public transportation services: a multi-dimensional approach. Total Quality Management & Business Excellence, 36(1-2), 100-124.
Hong, J. C., Lin, P. H., & Hsieh, P. C. (2017). The effect of consumer innovativeness on perceived value and continuance intention to use smartwatch. Computers in Human Behavior, 67, 264-272.
Hong, J. W. (2022). I was born to love AI: The influence of social status on AI self-efficacy and intentions to use AI. International Journal of Communication, 16, 20.
Horst, M., Kuttschreuter, M. and Gutteling, J.M. (2007), “Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government service in The Netherlands”, Computers in Human Behavior, Vol. 23 No. 4, pp. 1838-1852
Höjer, M., & Wangel, J. (2015). Smart sustainable cities: definition and challenges. In ICT innovations for sustainability (pp. 333-349). Cham: Springer International Publishing.
Hsiao, C. H., & Tang, K. Y. (2015). Investigating factors affecting the acceptance of self-service technology in libraries: The moderating effect of gender. Library Hi Tech, 33(1), 114-133.
Hsiao, K.L. (2011), “Why internet users are willing to pay for social networking services”, Online Information Review, 35(5), 770-788.
Hsu, C. L., & Lin, J. C. C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological forecasting and social change, 108, 42-53.
Huang, D. H., & Chueh, H. E. (2022). Usage intention model of mobile apps in membership application. Journal of Business Research, 139, 1255-1260.
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172.
Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30-41.
Huang, T. L. (2018). Creating a commercially compelling smart service encounter. Serv Bus 12: 357–377.
Hui, M. K., & Bateson, J. E. (1991). Perceived control and the effects of crowding and consumer choice on the service experience. Journal of consumer research, 18(2), 174-184.
Hwang, J., Lee, J. S., & Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94-103.
Hwang, J., Lee, K. W., Kim, D., & Kim, I. (2020). Robotic restaurant marketing strategies in the era of the fourth industrial revolution: Focusing on perceived innovativeness. Sustainability, 12(21), 9165.
Ifinedo, P. (2018). Determinants of students’ continuance intention to use blogs to learn: An empirical investigation. Behaviour & Information Technology, 37(4), 381-392.
Im, S., Bayus, B. L., & Mason, C. H. (2003). An empirical study of innate consumer innovativeness, personal characteristics, and new-product adoption behavior. Journal of Academy of Marketing Science, 31(1), 61–73.
IMARC (2024). Smart Retail Market by Offering (Hardware, Software, Services), Retailer Size (Smalland Mid-sized Retailers, Large Retailers), Application (Visual Marketing, Smart Label, Smart Payment System, Intelligent System, and Others), End User (Supermarkets, Hypermarkets, Specialty Stores, Department Stores, and Others), and Region 2024-2032. 15 Temmuz 2024 tarihinde https://www.imarcgroup.com/smart-retail-market adresinden erişildi.
Immonen, M., & Sintonen, S. (2015). Evolution of technology perceptions over time. Information Technology & People, 28(3), 589-606.
Ingale, K., Paliwal, M., Jha, S., Masarrat, G., Kodlekere, S., & Shedge, S. (2024). Delighting customers: Evaluating service quality and customer satisfaction of self-checkout users in sports retail. Innovative Marketing, 20(3), 97.
Inman, J. J., & Nikolova, H. (2017). Shopper-facing retail technology: A retailer adoption decision framework incorporating shopper attitudes and privacy concerns. Journal of retailing, 93(1), 7-28.
Investopedia Team. (2025, April 10). Artificial intelligence (AI): What it is, how it works, types, and uses. Investopedia. 12 Temmuz 2024 tarihinde https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp adresinden erişildi.
Irimia-Diéguez, A., Liébana-Cabanillas, F., Blanco-Oliver, A., & Lara-Rubio, J. (2025). What drives consumers to use P2P payment systems? An analytical approach based on the stimulus–organism–response (SOR) model. European Journal of Management and Business Economics, 34(2), 149-173.
Iwasaki, M., Zhou, J., Ikeda, M., Kawamura, T., & Nakanishi, H. (2018, August). A customer's attitude to a robotic salesperson depends on their initial interaction. In 2018 27th IEEE international symposium on robot and human interactive communication (RO-MAN) (pp. 300-305). IEEE.
İslamoğlu, A. ve Alnıaçık H., Ümit. (2019). Sosyal Bilimlerde Araştırma Yöntemleri. Beta Yayınevi.
Jacoby, J. (2002). Stimulus‐organism‐response reconsidered: an evolutionary step in modeling (consumer) behavior. Journal of consumer psychology, 12(1), 51-57.
Jaganathan, M., Perumal, S., Shaari, H., Sulaiman, Y., & Mat, N. K. N. (2025). Consumer attitude as a mediator in the adoption of smart retail technologies in emerging market. Multidisciplinary Reviews, 8(4), 2025101-2025101.
Jain, D., Uppal, S. B., & Singh, S. K. (2024, May 11). Exploring consumers’ readiness and acceptance of beacon technology. Educational Administration: Theory and Practice, 30(5), 3366–3374.
Jain, S., Obermeier, G., Auinger, A., Werth, D., & Kiss, G. (2023). Design principles of a mixed-reality shopping assistant system in omnichannel retail. Applied Sciences, 13(3), 1384.
Japutra, A., Molinillo, S., Utami, A. F., & Ekaputra, I. A. (2022). Exploring the effect of relative advantage and challenge on customer engagement behavior with mobile commerce applications. Telematics and Informatics, 72, 101841.
Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business & Industrial Marketing, 33(6), 804-821.
Jeong, S. C., & Choi, B. J. (2022). Moderating effects of consumers’ personal innovativeness on the adoption and purchase intention of wearable devices. Sage Open, 12(4), 21582440221134798.
Jeong, S. C., Kim, S. H., Park, J. Y., & Choi, B. (2017). Domain-specific innovativeness and new product adoption: A case of wearable devices. Telematics and Informatics, 34(5), 399-412.
Jiang, K., Qin, M., & Li, S. (2022). Chatbots in retail: How do they affect the continued use and purchase intentions of Chinese consumers?. Journal of Consumer Behaviour, 21(4), 756-772.
Jiang, Q., Sun, J., Yang, C., & Gu, C. (2021). The impact of perceived interactivity and intrinsic value on users’ continuance intention in using mobile augmented reality virtual shoe-try-on function. Systems, 10(1), 3.
Jiang, X., Deng, N., Fan, X., & Jia, H. (2022). Examining the role of perceived value and consumer innovativeness on consumers’ intention to watch intellectual property films. Entertainment Computing, 40, 100453.
Jiang, Y., Wang, X., & Yuen, K. F. (2021). Augmented reality shopping application usage: The influence of attitude, value, and characteristics of innovation. Journal of Retailing and Consumer Services, 63, 102720.
Jiang, Z., & Lyu, J. (2024). The role of augmented reality app attributes and customer-based brand equity on consumer behavioral responses: an SOR framework perspective. Journal of Product & Brand Management, 33(6), 702-716.
Johnston, N. E., Jai, T. M., Phelan, K. V., & Velikova, N. (2023). Supporting sustainable marketing programs: exploring relationships between cultural values, green attitudes and intent. Social Responsibility Journal, 19(7), 1276-1296.
Jones, E., Sundaram, S., & Chin, W. (2002). Factors leading to sales force automation use: A longitudinal analysis. Journal of Personal Selling & Sales Management, 22(3), 145–156.
Jones, L. K. (2015). The insecurity of things: How to manage the internet of things (Master's thesis, Utica College).
Joo, J. H. (2015). Understanding Korean College Students' Social Commerce Behavior through an Integrated Model of Technology Readiness, Technology Acceptance Model, and Theory of Planned Behavior. Journal of Digital Convergence, 13(7).
Joseph, S. (2017). How IKEA is using augmented reality. 20 Temmuz 2024 tarihinde https://digiday.com/marketing/ikea-usingaugmented-reality/ adresinden erişildi.
Jung, S. D., Claire, S., & Kim, S. (2024). Gen Z consumers’ expectations for smart convenience stores in the USA, South Korea, and Japan. Young Consumers, 25(3), 400-420.
Kahlert, M., Constantinides, E., & De Vries, S. A. (2017, March). The relevance of technological autonomy in the customer acceptance of IoT services in retail. In ICC (pp. 12-1).
Kaltcheva, V. D., & Weitz, B. A. (2006). When should a retailer create an exciting store environment?. Journal of marketing, 70(1), 107-118.
Kang, J. Y. M., Kim, J. E., Lee, J. Y., & Lin, S. H. (2023). How mobile augmented reality digitally transforms the retail sector: examining trust in augmented reality apps and online/offline store patronage intention. Journal of Fashion Marketing and Management: An International Journal, 27(1), 161-181.
Kang, K., Xu, X., Dong, R., & Tian, G. (2024). The risk perception of COVID-19 and pandemic-related behaviors: a moderated mediation model of political trust and self-efficacy. Psychology, Health & Medicine, 29(3), 514-527.
Karagöz, Y. (2021). SPSS – AMOS – META uygulamalı nicel – nitel – karma bilimsel araştırma yöntemleri ve yayın etiği (3. baskı). Ankara: Nobel Yayınevi.
Kaushik, A. K. & Rahman, Z. (2015). An alternative model of self‑service retail technology adoption. Journal of Services Marketing, 29(5), 406–420.
Kautish, P., Purohit, S., Filieri, R., & Dwivedi, Y. K. (2023). Examining the role of consumer motivations to use voice assistants for fashion shopping: The mediating role of awe experience and eWOM. Technological Forecasting and Social Change, 190, 122407.
Kavak, B. (2017). Pazarlama ve pazar araştırmaları: Tasarım ve analiz (2. baskı). Detay Yayıncılık.
Kenny, D. A., & McCoach, D. B. (2003). Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling, 10(3), 333–351.
Kesava, G. R., Reddy, V. K., & Trivikram, S. (2024, February). Smart Shopping Cart Using Radio Frequency Identification. In 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-5). IEEE.
Ketelaar, P. E., & Van Balen, M. (2018). The smartphone as your follower: The role of smartphone literacy in the relation between privacy concerns, attitude and behaviour towards phone-embedded tracking. Computers in Human Behavior, 78, 174-182.
Ketelaar, P. E., Bernritter, S. F., van Woudenberg, T. J., Rozendaal, E., Konig, R. P., Hühn, A. E., ... & Janssen, L. (2018). “Opening” location-based mobile ads: How openness and location congruency of location-based ads weaken negative effects of intrusiveness on brand choice. Journal of Business Research, 91, 277-285.
Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in human behavior, 70, 460-474.
Khan, A. U., Jan, S. U., Khan, M. N., Aziz, F., Sohu, J. M., Ali, J., ... & Chohan, S. R. (2024). Based on the S–O–R theory adoption intention of blockchain technology in libraries: a two-stage analysis SEM–PLS and ANN. Library Hi Tech.
Khan, G. F., Yoon, H. Y., & Park, H. W. (2014). Social media communication strategies of government agencies: Twitter use in Korea and the USA. Asian Journal of Communication, 24(1), 60-78.
Khanna, S., & Yadav, M. (2023). Application of AI in Fashion Supply Chain. Emerging Paradigms and Challenges in Multidisciplinary Education and Research.
Khoi, N. H., Tuu, H. H., & Olsen, S. O. (2018). The role of perceived values in explaining Vietnamese consumers’ attitude and intention to adopt mobile commerce. Asia Pacific Journal of Marketing and Logistics, 30(4), 1112-1134.
Kim, (2023). From reflection to revolution - the impact of smart mirrors in retail. 15. Temmuz 2024 tarihinde https://www.apptension.com/blog-posts/smart-mirrors-in-retail adresinden erişildi.
Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in human behavior, 26(3), 310-322.
Kim, E. J., Kim, J. J., & Han, S. H. (2021). Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustainability, 13(2), 896.
Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision support systems, 43(1), 111-126.
Kim, H. Y., Lee, J. Y., Mun, J. M., & Johnson, K. K. (2017). Consumer adoption of smart in-store technology: assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion Design, Technology and Education, 10(1), 26-36.
Kim, H.-W., Xu, Y. and Gupta, S. (2012), “Which is more important in internet shopping, perceived price or trust?”, Electronic Commerce Research and Applications, Vol. 11 No. 3, pp. 241-252.
Kim, J. J., Kim, I., & Hwang, J. (2021). A change of perceived innovativeness for contactless food delivery services using drones after the outbreak of COVID-19. International journal of hospitality management, 93, 102758.
Kim, J. J., Nam, M., & Kim, I. (2019). The effect of trust on value on travel websites: enhancing well-being and word-of-mouth among the elderly. Journal of Travel & Tourism Marketing, 36(1), 76-89.
Kim, J., & Forsythe, S. (2009). Adoption of sensory enabling technology for online apparel shopping. European journal of marketing, 43(9/10), 1101-1120.
Kim, S. B., Sun, K. A., & Kim, D. Y. (2013). The influence of consumer value-based factors on attitude-behavioral intention in social commerce: The differences between high-and low-technology experience groups. Journal of Travel & Tourism Marketing, 30(1-2), 108-125.
Kim, Y. (2021). Revitalization of offline fashion stores: Exploring strategies to improve the smart retailing experience by applying mobile technology. Sustainability, 13(6), 3434.
Kim, Y. H., & Kim, Y. K. (2017). A technology-fashion collaborative product: Its impact on consumer attitudes and purchase intention. Journal of Global Fashion Marketing, 8(4), 283-297.
Kim, Yeolib, Seung Hyun Kim, Robert A. Peterson, & Jeonghye Choi (2023). "Privacy concern and its consequences: A meta-analysis." Technological Forecasting and Social Change 196, 122789.
Kock, F., Berbekova, A., & Assaf, A. G. (2021). Understanding and managing the threat of common method bias: Detection, prevention and control. Tourism management, 86, 104330.
Kolb, D.A. Experiential Learning: Experience as the Source of Learning and Development; Prentice-Hall: Englewood Cliffs, NJ, USA, 1984; ISBN 978-0-13-295261-3.
Kotler, P., & Stigliano, G. (2024). Redefining retail: 10 guiding principles for a post-digital world. John Wiley & Sons.
Krey, N., Chuah, S. H. W., Ramayah, T., & Rauschnabel, P. A. (2019). How functional and emotional ads drive smartwatch adoption: The moderating role of consumer innovativeness and extraversion. Internet Research, 29(3), 578-602.
Kumar D. (April 17, 2024). An update on Amazon's plans for Just Walk Out and checkout-free technology. 15 Temmuz 2024 tarihinde
https://www.aboutamazon.com/news/retail/amazon-just-walk-out-dash-cart-grocery-shopping-checkout-stores adresinden erişildi.
Kurtuluş, K. (2010). Araştırma Yöntemleri, İstanbul: Türkmen Kitabevi.
Kwak, M. K., Lee, J., & Cha, S. S. (2021). Senior consumer motivations and perceived value of robot service restaurants in Korea. Sustainability, 13(5), 2755.
Lacap, J. P. G., Plaza, M. N., Caballero, J., & dela Cruz, M. (2024). Factors affecting consumer attitude and loyalty: evidence from a Philippine chain of fast-food restaurants’ smart retailing technology. Journal of Science and Technology Policy Management, 15(5), 1037-1055.
Lai, Z. J., Leong, M. K., Khoo, K. L., & Sidhu, S. K. (2024). Integrating technology acceptance model and value-based adoption model to determine consumers’ perception of value and intention to adopt AR in online shopping. Asia Pacific Journal of Marketing and Logistics.
LaMotte, S. (2017). The very real health dangers of virtual reality. 26 Agustos 2024 tarihinde https://www.cnn.com/2017/12/13/health/virtual-realityvr-dangers-safety/index.html adresinden erişildi.
Landim, A. R. D. B., Pereira, A. M., Vieira, T., de B. Costa, E., Moura, J. A. B., Wanick, V., & Bazaki, E. (2022). Chatbot design approaches for fashion E-commerce: an interdisciplinary review. International Journal of Fashion Design, Technology and Education, 15(2), 200-210.
Lao, A., Vlad, M., & Martin, A. (2021). Exploring how digital kiosk customer experience enhances shopping value, self-mental imagery and behavioral responses. International Journal of Retail & Distribution Management, 49(7), 817-845.
Lavuri, R., Jindal, A., & Akram, U. (2022). How perceived utilitarian and hedonic value influence online impulse shopping in India? Moderating role of perceived trust and perceived risk. International Journal of Quality and Service Sciences, 14(4), 615-634.
Le, N. T., Rao Hill, S., & Troshani, I. (2022). Perceived control and perceived risk in self-service technology recovery. Journal of Computer Information Systems, 62(1), 164-173.
Lee, C. H., & Wu, J. J. (2017). Consumer online flow experience: The relationship between utilitarian and hedonic value, satisfaction and unplanned purchase. Industrial Management & Data Systems, 117(10), 2452-2467.
Lee, H. H., & Chang, E. (2011). Consumer attitudes toward online mass customization: An application of extended technology acceptance model. Journal of Computer-Mediated Communication, 16(2), 171-200.
Lee, H. J., & Lyu, J. (2016). Personal values as determinants of intentions to use self-service technology in retailing. Computers in Human Behavior, 60, 322-332.
Lee, H., Xu, Y., & Porterfield, A. (2022). Antecedents and moderators of consumer adoption toward AR‐enhanced virtual try‐on technology: A stimulus‐organism‐response approach. International Journal of Consumer Studies, 46(4), 1319-1338.
Lee, H.-J., A. Fairhurst and H.J. Cho (2012). Gender differences in consumer evaluations of service quality: self-service kiosks in retail. The Service Industries Journal 33 (2), 248–265.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business horizons, 58(4), 431-440.
Lee, J. Y., & Park, K. H. (2022, September). Consumer Response to the Radio Frequency Identification (RFID) Technology-based Self-service Beauty Specialty Store: Moderating Effects of Consumer Traits. In International Textile and Apparel Association Annual Conference Proceedings (Vol. 78, No. 1). Iowa State University Digital Press.
Lee, J., Lee, Y., & Kim, S. (2021). The effects of consumers’ in-store technology experience on perceived interactivity, retail Brand commitment, and revisit intention in a Korean beauty store. International Journal of Human–Computer Interaction, 37(6), 534-546.
Lee, M. K., Cheung, C. M., & Chen, Z. (2005). Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation. Information & management, 42(8), 1095-1104.
Lee, S. Y., & Lee, K. (2018). Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker. Technological Forecasting and Social Change, 129, 154-163.
Lee, S., Sung, B., & Kitin, J. (2024). The watchful eye: investigating tourist perceptions of different wireless tracking technologies at a travel destination. Current Issues in Tourism, 27(6), 906-922.
Lee, Y. K. (2021). Impacts of digital technostress and digital technology self-efficacy on Fintech usage intention of Chinese Gen Z consumers. Sustainability, 13(9), 5077.
Li, B., Chen, Y., Liu, L., & Zheng, B. (2023). Users’ intention to adopt artificial intelligence-based chatbot: a meta-analysis. The Service Industries Journal, 43(15-16), 1117-1139.
Li, F., Zhu, D., Lin, M. T., & Kim, P. B. (2024). The technology acceptance model and hospitality and tourism consumers’ intention to use mobile technologies: meta-analysis and structural equation modeling. Cornell Hospitality Quarterly, 19389655241226558.
Li, L., Wang, Z., Li, Y., & Liao, A. (2021). Impacts of consumer innovativeness on the intention to purchase sustainable products. Sustainable Production and Consumption, 27, 774-786.
Li, Y., & Li, J. (2022). The influence of design aesthetics on consumers’ purchase intention toward cultural and creative products: evidence from the palace museum in China. Frontiers in Psychology, 13, 939403.
Li, Y., Xu, Z., & Xu, F. (2018). Perceived control and purchase intention in online shopping: The mediating role of self-efficacy. Social Behavior and Personality: an international journal, 46(1), 99-105.
Lien, C. H., Hsu, M. K., Shang, J. Z., & Wang, S. W. (2021). Self-service technology adoption by air passengers: a case study of fast air travel services in Taiwan. The Service Industries Journal, 41(9-10), 671-695.
Lin, C. Y. (2022). Understanding consumer perceptions and attitudes toward smart retail services. Journal of Services Marketing, 36(8), 1015-1030.
Lin, C. Y., Yeh, J. Y., & Yu, Y. T. (2016). The influence of privacy calculus, user interface quality and perceived value on mobile shopping. Journal of Economics, Business and Management, 4(10), 567-572.
Lin, J. S. C., & Hsieh, P. L. (2006). The role of technology readiness in customers' perception and adoption of self‐service technologies. International Journal of Service Industry Management, 17(5), 497-517.
Lin, J. S. C., & Hsieh, P. L. (2011). Assessing the self-service technology encounters: development and validation of SSTQUAL scale. Journal of retailing, 87(2), 194-206.
Lin, K. Y., & Lu, H. P. (2015). Predicting mobile social network acceptance based on mobile value and social influence. Internet Research, 25(1), 107-130.
Lin, K. Y., Wang, Y. T., & Huang, T. K. (2020). Exploring the antecedents of mobile payment service usage: Perspectives based on cost–benefit theory, perceived value, and social influences. Online information review, 44(1), 299-318.
Lin, M. Y. C., Do, B. R., Nguyen, T. T., & Cheng, J. M. S. (2022). Effects of personal innovativeness and perceived value of disclosure on privacy concerns in proximity marketing: self-control as a moderator. Journal of Research in Interactive Marketing, 16(2), 310-327.
Liu, S., Luo, G., Cai, Y., Wu, W., Liu, W., Zou, R., & Tan, W. (2024). Determinants of consumer intention to adopt a self-service technology strategy for last-mile delivery in Guangzhou, China. Mathematical Biosciences and Engineering, 21(2), 3262-3280.
Liu, Y., Gan, Y., Song, Y., & Liu, J. (2021). What influences the perceived trust of a voice-enabled smart home system: an empirical study. Sensors, 21(6), 2037.
Lombard, M., & Snyder-Duch, J. (2001). Interactive advertising and presence: A framework. Journal of interactive Advertising, 1(2), 56-65.
Longo, E., Redondi, A. E., & Cesana, M. (2020, September). Design and Implementation of a Privacy-Aware Smart Mirror System. In Proceedings of the 1st Workshop on Experiences with the Design and Implementation of Frugal Smart Objects (pp. 18-23).
Lowry, P. B., Gaskin, J., Twyman, N., Hammer, B., & Roberts, T. (2013). Taking ‘fun and games’ seriously: Proposing the hedonic-motivation system adoption model (HMSAM). Journal of the association for information systems, 14(11), 617-671.
Lu, H.P. and Hsiao, K.L. (2010), “The influence of extro/introversion on the intention to pay for social networking sites”, Information & Management, 47(3), 150-157.
Lu, K., & Shi, C. (2025). Why do travelers discontinue using integrated ride-hailing platforms? The role of perceived value and perceived risk. Humanities and Social Sciences Communications, 12(1), 1-19.
Lucia-Palacios, L., & Pérez-López, R. (2023). How can autonomy improve consumer experience when interacting with smart products?. Journal of Research in Interactive Marketing, 17(1), 19-37.
Lucia-Palacios, L., Pérez-López, R., & Polo-Redondo, Y. (2016). Cognitive, affective and behavioural responses in mall experience: A qualitative approach. International Journal of Retail & Distribution Management, 44(1), 4-21.
Lunardo, R., & Mbengue, A. (2009). Perceived control and shopping behavior: The moderating role of the level of utilitarian motivational orientation. Journal of Retailing and Consumer Services, 16(6), 434-441.
Ma, L., Zhang, X., & Yan Ding, X. (2018). Social media users’ share intention and subjective well-being: An empirical study based on WeChat. Online Information Review, 42(6), 784-801.
Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), 3-9.
Mâni, Z., & Chouk, I. (2017). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 33(1-2), 76-97.
Maroufkhani, P., Asadi, S., Ghobakhloo, M., Jannesari, M. T., &Ismail, W. K. W. (2022). How do interactive voice assistants buildbrands’ loyalty? Technological Forecasting and Social Change, 183,121870.
Marshall, T. (August 21, 2015). In-store Beacons: What Are They And What Do They Do For Retail?. 15 Temmuz 2024 tarihinde https://bindolabs.com/blog/store-beacons-retail adresinden erişildi.
Mathavan, B., Vafaei-Zadeh, A., Hanifah, H., Ramayah, T., & Kurnia, S. (2024). Understanding the purchase intention of fitness wearables: using value-based adoption model. Asia-Pacific Journal of Business Administration, 16(1), 101-126.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.
Mehrabian, A., & Russell, J. A. (1974). An approach to environ-mental psychology. Cambridge, MA: The MIT Pres
Mende, M., Scott, M. L., Van Doorn, J., Grewal, D., & Shanks, I. (2019). Service robots rising: How humanoid robots influence service experiences and elicit compensatory consumer responses. Journal of marketing research, 56(4), 535-556.
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of business research, 56(11), 899-906.
Milgram, P., & Kishino, F. (1994). A taxonomy of mixed reality visual displays. IEICE TRANSACTIONS on Information and Systems, 77(12), 1321-1329.
Mital, M., Chang, V., Choudhary, P., Papa, A. and Pani, A.K. (2018), “Adoption of Internet of Things in India: a test of competing models using a structured equation modeling approach”, Technological Forecasting and Social Change, Vol. 136, pp. 339-346.
Moharana, T. R., & Pattanaik, S. (2023). Post-pandemic revisit intentions: how shopping value and visit frequency matters. International Journal of Retail & Distribution Management, 51(3), 386-406.
Mohd Suki, N., & Mohd Suki, N. (2020). Acquiring travel-related information from mobile social networking services: What factors predict social networking services users’ perceived value and trust in Malaysia?. Journal of Marketing Communications, 26(7), 742-760.
MoldStud Research Team. (2024?). App Development for Smart Retail Innovations in Shopping. MoldStud. 20 Ağustos 2024 tarihinde https://moldstud.com/articles/p-app-development-for-smart-retail-innovations-in-shopping adresinden erişildi.
Molina-Carmona, R., Pertegal-Felices, M. L., Jimeno-Morenilla, A., & Mora-Mora, H. (2018). Virtual reality learning activities for multimedia students to enhance spatial ability. Sustainability, 10(4), 1074.
Molinillo, S., Gómez-Ortiz, B., Pérez-Aranda, J., & Navarro-García, A. (2017). Building customer loyalty: The effect of experiential state, the value of shopping, and trust and perceived value of service on online clothes shopping. Clothing and Textiles Research Journal, 35(3), 156-171.
Molinillo, S., Rejón‐Guardia, F., Anaya‐Sánchez, R., & Liébana‐Cabanillas, F. (2023). Impact of perceived value on intention to use voice assistants: The moderating effects of personal innovativeness and experience. Psychology & Marketing, 40(11), 2272-2290.
Mondal, S., & Hasan, A. A. T. (2025). Factors affecting climate-smart agriculture adoption intentions among potato farmers in Bangladesh: the moderating role of agricultural innovativeness. Management & Sustainability: An Arab Review.
Moons, I., & De Pelsmacker, P. (2015). An extended decomposed theory of planned behaviour to predict the usage intention of the electric car: A multi-group comparison. Sustainability, 7(5), 6212-6245.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Mordorİntelligence. (2024). Artificial Intelligence in Retail Market Size & Share Analysis- Growth Trends & Forecasts (2024-2029). 15 Temmuz 2024 tarihinde https://www.mordorintelligence.com/industry-reports/artificial-intelligence-in-retail-market adresinden erişildi.
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of marketing, 58(3), 20-38.
Mortimer, G., Neale, L., Hasan, S. F. E., & Dunphy, B. (2015). Investigating the factors influencing the adoption of m-banking: A cross cultural study. International Journal of bank marketing, 33(4), 545–570. Crossref. Web of Science.
Mukherjee, A., Smith, R. J., & Turri, A. M. (2018). The smartness paradox: the moderating effect of brand quality reputation on consumers' reactions to RFID-based smart fitting rooms. Journal of Business Research, 92, 290-299.
Muraguri, E. K., Jin, S., & Samake, A. (2020). Modeling the role of perceived green value and consumer innovativeness in green products’ consumption intention within the theory of planned behavior. Sustinere: Journal of Environment and Sustainability, 4(2), 94-116.
Myin, M. T., & Watchravesringkan, K. (2024). Investigating consumers’ adoption of AI chatbots for apparel shopping. Journal of Consumer Marketing, 41(3), 314-327.
Nakip, M. (2013). Pazarlamada Araştırma Teknikleri. Ankara: Seçkin Yayıncılık.
Nakip, M., & Yaraş, E. (2017). Pazarlama Araştırma Teknikleri ve SPSS Uygulamaları (4. b.). Ankara: Seçkin Yayıncılık.
Narang, U., & Shankar, V. (2019). Mobile promotions: A framework and research priorities. Marketing Science, 38(6), 913–931.
Nasiri, M., Ukko, J., Saunila, M. and Rantala, T. (2020), “Managing the digital supply chain: the role of smart technologies”, Technovation, Vol. 96-97, p. 102121.
Nawi, N. B. C., Mamun, A. A., Hayat, N., & Yang, Q. (2024). Attitude of Fashion consumers toward the IoT: estimating consumer hedonic and utilitarian shopping motivations. Journal of Ambient Intelligence and Humanized Computing, 15(1), 751-763.
Ng, S. I., Ho, J. A., Lim, X. J., Chong, K. L., & Latiff, K. (2021). Mirror, mirror on the wall, are we ready for Gen-Z in marketplace? A study of smart retailing technology in Malaysia. Young Consumers, 22(1), 68-89.
Ngoc L.T.B., Thuy, N. T. B., & Nguyen, N. P. (2023). Customer behavior when experiencing smart retail technology: a conceptual framework. Journal Of Scıence And Technology, 21(12.2), 12-17.
Nguyen, D. (2015). Understanding perceived enjoyment and continuanceintention in mobile games. (Master thesis). Aalto University, Espoo,Finland.
Nguyen, M. H., & Khoa, B. T. (2019). Customer electronic loyalty towards online business: The role of online trust, perceived mental benefits and hedonic value. Journal of Distribution Science, 17(12), 81-93.
Nguyen, Q. H., Hanh, T. T., Hanh, N. L. M., Nhi, N. D. L., Anh, D. N., & Linh, H. T. (2025). The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience. Cogent Business & Management, 12(1), 2500774.
Niemelä, M., Heikkilä, P., Lammi, H., & Oksman, V. (2019). A social robot in a shopping mall: studies on acceptance and stakeholder expectations. In Social robots: Technological, societal and ethical aspects of human-robot interaction (pp. 119-144). Cham: Springer International Publishing.
Nikhashemi, S. R., Knight, H. H., Nusair, K., & Liat, C. B. (2021). Augmented reality in smart retailing: A (n)(A) Symmetric Approach to continuous intention to use retail brands’ mobile AR apps. Journal of Retailing and Consumer Services, 60, 102464.
Nowodzinski, P., Lukasik, K., & Puto, A. (2016). Internet of things (IoT) in A retail environment. The new strategy for firm's development. European Scientific Journal, 7881, 1857–7881.
O’Cass, A., & Fenech, T. (2003). Web retailing adoption: Exploring the nature of internet users web retailing behavior. Journal of Retailing and Consumer Services, 10(2), 81–94.
Obaid, T. (2021). Predicting mobile banking adoption: An integration of TAM and TPB with trust and perceived risk. Available at SSRN 3761669.
Ogunjimi, A., Rahman, M., Islam, N., & Hasan, R. (2021). Smart mirror fashion technology for the retail chain transformation. Technological Forecasting and Social Change, 173, 121118.
Oh, H., Yoon, S. Y., & Shyu, C. R. (2008). How can virtual reality reshape furniture retailing?. Clothing and Textiles Research Journal, 26(2), 143-163.
Oh, J., & Yoon, S. J. (2014). Validation of haptic enabling technology acceptance model (HE-TAM): Integration of IDT and TAM. Telematics and informatics, 31(4), 585-596.
Okazaki, S., Eisend, M., Plangger, K., de Ruyter, K., & Grewal, D. (2020). Understanding the strategic consequences of customer privacy concerns: A meta-analytic review. Journal of Retailing, 96(4), 458-473.
Orel, F. D., & Kara, A. (2014). Supermarket self-checkout service quality, customer satisfaction, and loyalty: Empirical evidence from an emerging market. Journal of Retailing and Consumer Services, 21(2), 118-129.
Osakwe, C. N., Hudik, M., Říha, D., Stros, M., & Ramayah, T. (2022). Critical factors characterizing consumers’ intentions to use drones for last-mile delivery: Does delivery risk matter?. Journal of retailing and consumer services, 65, 102865.
Ostrom, Amy L.; Parasuraman, A.; Bowen, David E.; Patrício, Lia; Voss, Christopher A. (2015): Service Research Priorities in a Rapidly Changing Context. In Journal of Service Research 18 (2), pp. 127–159.
Ozturk, A. B., Pizam, A., Hacikara, A., An, Q., Chaulagain, S., Balderas-Cejudo, A., ... & State, O. (2023). Hotel customers’ behavioral intentions toward service robots: the role of utilitarian and hedonic values. Journal of Hospitality and Tourism Technology, 14(5), 780-801.
Pagani, M., Racat, M., & Hofacker, C. F. (2019). Adding voice to the omnichannel and how that affects brand trust. Journal of Interactive Marketing, 48(1), 89-105.
Pang, H. (2021). Identifying associations between mobile social media users’ perceived values, attitude, satisfaction, and eWOM engagement: The moderating role of affective factors. Telematics and Informatics, 59, 101561.
Pangriya, R., & Chandra, G. J. (2023). Amazon Go!!!! Just Walkout. Just Walkout, 10.
Pantano, E., & Vannucci, V. (2019). Who is innovating? An exploratory research of digital technologies diffusion in retail industry. Journal of Retailing and Consumer Services, 49, 297-304.
Pantano, E., Rese, A., & Baier, D. (2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81-95.
Pantano, Eleonora and Rocco Servidio (2012), “Modeling Innovative Points of Sales Through Virtual and Immersive Technologies,” Journal of Retailing and Consumer Services, 19, 3, 279–86.
Park, H. J., & Zhang, Y. (2022). Technology readiness and technology paradox of unmanned convenience store users. Journal of Retailing and Consumer Services, 65, 102523.
Park, S. S., Tung, C. D., & Lee, H. (2021). The adoption of AI service robots: A comparison between credence and experience service settings. Psychology & Marketing, 38(4), 691-703.
Parmar, G. (2022). Smart Retailing: A Novel Approach for Retailing Business. In Big Data Analytics (pp. 143-172). Auerbach Publications.
Paterson, R.J., Neufeld, R.W., 1995. What are my options? Influences of choice availability on stress and the perception of control. Journal of Research in Personality 29, 145–167
Patil, K. (2016, December). Retail adoption of Internet of Things: Applying TAM model. In 2016 International conference on computing, analytics and security trends (CAST) (pp. 404-409). IEEE.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 115-143.
Perumal, S., Jaganathan, M., Shaari, H., & Sulaiman, Y. (2023). Examınıng Perceptıon And Attıtude Towards Smart Retaıl Technologıes In The Retaıl Sector. Russian Law Journal, 11(7S), 213-220.
Perumal, S., Qing, Y., & Jaganathan, M. (2022). Factors influencing attitudes and intentions towards smart retail technology. International Journal of Data and Network Science, 6(2), 595-602.
Peter, J. P. (1979). Reliability: A review of psychometric basics and recent marketing practices. Journal of marketing research, 16(1), 6-17.
Petty, R. E., Wegener, D. T., & Fabrigar, L. R. (1997). Attitudes and attitude change. Annual review of psychology, 48(1), 609-647.
Pham, L. (2022). The critical touchpoints and disruptive technology in the post-purchase stage of cosmetics brands to improve customer experience [Bachelor’s thesis, Haaga-Helia University of Applied Sciences]. Theseus.
Pham, L., Williamson, S., Lane, P., Limbu, Y., Nguyen, P. T. H., & Coomer, T. (2020). Technology readiness and purchase intention: role of perceived value and online satisfaction in the context of luxury hotels. International Journal of Management and Decision Making, 19(1), 91-117.
Pham, Q. T., Tran, X. P., Misra, S., Maskeliūnas, R., & Damaševičius, R. (2018). Relationship between convenience, perceived value, and repurchase intention in online shopping in Vietnam. Sustainability, 10(1), 156.
Phygrid. (2024). Smart Fitting Rooms. 15 Temmuz 2024 tarihinde https://phygrid.com/smart-fitting-rooms/ adresinden erişildi.
Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226.
Pinochet, L. H. C., de Souza, C. A., Viana, A. B. N., & Rodrıguez-Abitia, G. (2024). Smart technologies in supermarketretail and their influence on citizens’ quality of life during theCOVID-19 pandemic. REGE Revista de Gestão, 31(1).
Piotrowicz, W., & Cuthbertson, R. (2014). Introduction to the special issue information technology in retail: Toward omnichannel retailing. International Journal of Electronic Commerce, 18(4), 5-16.
Pizam, A., Ozturk, A. B., Hacikara, A., Zhang, T., Balderas-Cejudo, A., Buhalis, D., ... & State, O. (2024). The role of perceived risk and information security on customers' acceptance of service robots in the hotel industry. International Journal of Hospitality Management, 117, 103641.
Pizzi, G., & Scarpi, D. (2020). Privacy threats with retail technologies: A consumer perspective. Journal of Retailing and Consumer Services, 56, 102160.
Pleyers, G., & Poncin, I. (2020). Non-immersive virtual reality technologies in real estate: How customer experience drives attitudes toward properties and the service provider. Journal of Retailing and Consumer Services, 57, 102175.
Plotkina, D., & Saurel, H. (2019). Me or just like me? The role of virtual try-on and physical appearance in apparel M-retailing. Journal of Retailing and Consumer Services, 51, 362-377.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y. & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism management, 47, 286-302.
Poushneh, A. (2018). Augmented reality in retail: A trade-off between user's control of access to personal information and augmentation quality. Journal of Retailing and Consumer Services, 41, 169-176.
Premananthan, G., Nagaraj, B., & Divya, N. (2020). Wıthdrawn: Sensor based integrated smart trolley system using Zigbee-experimental analysis. Materials Today: Proceedings (2020).
Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’expectations of interactions in smart retailing: A future agenda.Computers in Human Behavior, 77(2017), 374-381.
Puk K. (2024). How Smart Mirrors are Transforming In-Store Experiences. 15 Temmuz 2024 tarihinde https://www.netguru.com/blog/smart-mirrors-in-retail adresinden erişildi.
Purwantono, H. Y., Gunawan, A. A., Tolle, H., Attamimi, M., & Budiharto, W. (2021). A literature review: Feasibility Study of technology to improve shopping experience. Procedia Computer Science, 179, 468-479.
Qin, H., David, A., Harun, A., Mamun, M. R. A., Peak, D., & Prybutok, V. (2024). Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps. Industrial Management & Data Systems, 124(1), 442-482.
Qing, Y. R. (2020). Factors Influencıng Attıtudes And Intentıons Of Usıng Smart Retaıl Technologıes. Master Of Scıence, Unıversıtı Utara Malaysıa August 2020.
Qiu, X., Roy, S. K., Singh, G., & Gruner, R. L. (2025). Multi‐Technological Solutions for In‐Store Smart Retailing. Journal of Consumer Behaviour, 24(2), 919-935.
Rahi, S., Abd Ghani, M., Al-Okaily, M., Rashid, A., Alghizzawi, M., & Shiyyab, F. S. (2024). Breaking into the black box of customer perception towards robot service: empirical evidence from service sector. Heliyon, 10(19).
Rahman, M. S., Ko, M., Warren, J., & Carpenter, D. (2016). Healthcare Technology Self-Efficacy (HTSE) and its influence on individual attitude: An empirical study. Computers in Human Behavior, 58, 12-24.
Rai, A. (2020). Explainable AI: From black box to glass box. Journal of the academy of marketing science, 48(1), 137-141.
Rana, J., Gaur, L., Singh, G., Awan, U., & Rasheed, M. I. (2022). Reinforcing customer journey through artificial intelligence: a review and research agenda. International Journal of Emerging Markets, 17(7), 1738-1758.
Rangaswamy, A., Moch, N., Felten, C., Van Bruggen, G., Wieringa, J. E., & Wirtz, J. (2020). The role of marketing in digital business platforms. Journal of Interactive Marketing, 51(1), 72-90.
Rasheed, H. M. W., He, Y., Khizar, H. M. U., & Abbas, H. S. M. (2023). Exploring Consumer-Robot interaction in the hospitality sector: Unpacking the reasons for adoption (or resistance) to artificial intelligence. Technological Forecasting and Social Change, 192, 122555.
Rashid, Z., Melià-Seguí, J., Pous, R., & Peig, E. (2017). Using Augmented Reality and Internet of Things to improve accessibility of people with motor disabilities in the context of Smart Cities. Future Generation Computer Systems, 76, 248-261.
Rashid, Z., Peig, E., & Pous, R. (2015, October). Bringing online shopping experience to offline retail through augmented reality and RFID. In 2015 5th International Conference on the Internet of Things (IoT) (pp. 45-51). IEEE.
Rasimah, C. M. Y., Ahmad, A., & Zaman, H. B. (2011). Evaluation of user acceptance of mixed reality technology. Australasian Journal of Educational Technology, 27(8).
Rauschnabel, P. A., He, J., & Ro, Y. K. (2018). Antecedents to the adoption of augmented reality smart glasses: A closer look at privacy risks. Journal of Business Research, 92, 374-384.
Rawash, H. N. (2021). E-commerce adopting TOE model by SMEs in Jordan. Multicultural Education, 7(3), 118-122.
Rehman, Z. U., Baharun, R., & Salleh, N. Z. M. (2020). Antecedents, consequences, and reducers of perceived risk in social media: A systematic literature review and directions for further research. Psychology & Marketing, 37(1), 74-86.
Renko, S., & Druzijanic, M. (2014). Perceived usefulness of innovative technology in retailing: Consumers׳ and retailers׳ point of view. Journal of retailing and consumer services, 21(5), 836-843.
Rese, A., Baier, D., Geyer-Schulz, A., & Schreiber, S. (2017). How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions. Technological Forecasting and Social Change, 124, 306-319.
Rese, A., Ganster, L., & Baier, D. (2020). Chatbots in retailers’ customer communication: How to measure their acceptance?. Journal of Retailing and Consumer Services, 56, 102176.
Research & Markets. (2020, Mayıs 2). Global Unmanned Convenience Store Market (2019 to 2027). Yahoo Finance. https://finance.yahoo.com/news/global-unmanned-convenience-store-market-095903902.html
Richardson, H. A., Simmering, M. J. & Sturman, M. C. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762-800.
Riegger, A. S., Klein, J. F., Merfeld, K., & Henkel, S. (2021). Technology-enabled personalization in retail stores: Understanding drivers and barriers. Journal of Business Research, 123, 140-155.
Rihidima, L. V. C., Abdillah, Y., & Rahimah, A. (2022). Adoption of Cash on Delivery Payment Method in E-commerce Shopping: A Value-based Adoption Model Approach. Jurnal Manajemen Teori dan Terapan, 15(3).
Riikkinen, M., Saarijärvi, H., Sarlin, P., & Lähteenmäki, I. (2018). Using artificial intelligence to create value in insurance. International Journal of Bank Marketing, 36(6), 1145-1168.
Rindfleisch, A., & Crockett, D. X. (1999). Cigarette smoking and perceived risk: a multidimensional investigation. Journal of Public Policy & Marketing, 18(2), 159-171.
Rinta-Kahila, T., Penttinen, E., Kumar, A., & Janakiraman, R. (2021). Customer reactions to self-checkout discontinuance. Journal of Retailing and Consumer Services, 61, 102498.
Rintamäki, T., Kanto, A., Kuusela, H., & Spence, M. T. (2006). Decomposing the value of department store shopping into utilitarian, hedonic and social dimensions: Evidence from Finland. International Journal of retail & distribution Management, 34(1), 6-24.
Robertson, A. (Dec 01, 2017). New LEGO Augmented Reality App Is The Best Open-World LEGO Video Game. 15 Temmuz 2024 tarihinde
https://www.forbes.com/sites/andyrobertson/2017/12/01/new-lego-augmented-reality-app-is-the-best-open-world-lego-video-game/?sh=2defffea498a adresinden erişildi.
Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of business research, 57(6), 671-677.
Rogers, E. (2003). Diffusion of Innovations 5th.
Rogers, E. M. (1962). Diffusion of innovations the free Press of Glencoe. NY, 32, 891-937.
Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). New York: The Free Press.
Rogers, E. M. (1995). Diffusion of Innovations (4th edn.) ACM The Free Press.
Rogers, E. M., & Shoemaker, F. F. (1971). Communication of innovations: A cross-cultural approach.
Rohden, S. F., & Espartel, L. B. (2024). Consumer reactions to technology in retail: choice uncertainty and reduced perceived control in decisions assisted by recommendation agents. Electronic Commerce Research, 1-23.
Roopa, C., & Reddy, N. C. (2020). Research on smart shopping cart. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 6(4), 359–364.
Roy, S. K., Balaji, M. S., & Nguyen, B. (2020). Consumer-computer interaction and in-store smart technology (IST) in the retail industry: the role of motivation, opportunity, and ability. Journal of Marketing Management, 36(3-4), 299-333.
Roy, S. K., Balaji, M. S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147-160.
Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257-270.
Roy, S. K., Singh, G., & Shabnam, S. (2021). Modelling customer engagement behaviour in smart retailing. Australasian Journal of Information Systems, 25, 1-30.
Roy, S. K., Singh, G., Hollebeek, L. D., Shabnam, S., Japutra, A., van Doorn, S., ... & Appio, F. P. (2024). Smart service value: Conceptualization, scale development, and validation in the retailing context. Technovation, 137, 103097.
Roy, S. K., Singh, G., Hope, M., Nguyen, B., & Harrigan, P. (2019). The rise of smart consumers: Role of smart servicescape and smart consumer experience co-creation. Journal of Marketing Management, 35(15–16), 1480–1513.
Ruiz-Alba, J. L., Abou-Foul, M., Nazarian, A., & Foroudi, P. (2022). Digital platforms: customer satisfaction, eWOM and the moderating role of perceived technological innovativeness. Information Technology & People, 35(7), 2470-2499.
Ruiz-Herrera, L. G., Valencia-Arias, A., Gallegos, A., Benjumea-Arias, M., & Flores-Siapo, E. (2023). Technology acceptance factors of e-commerce among young people: An integration of the technology acceptance model and theory of planned behavior. Heliyon, 9(6).
Sadewo, S. T., Ratnawati, S., Giovanni, A., & Widayanti, I. (2025). The Influence of Personal Innovativeness on ChatGPT Continuance Usage Intention among Students. SATESI: Jurnal Sains Teknologi dan Sistem Informasi, 5(1), 88-98.
Sadiq, M., M. Adil, and J. Paul. 2022. “Eco-Friendly Hotel Stay and Environmental Attitude: A Value-Attitude-BehaviourPerspective.” International Journal of Hospitality Management 100: 103094.
Sagiadinos, N. (2020, February 17). Tips for an open digital signage solution. DEV Community. 20 Ağustos 2024 tarihinde https://dev.to/sagiadinos/tips-for-an-open-digital-signage-solution-5fhm adresinden erişildi.
Sahana, S., Shraddha, M., Phalguni, M.P., Shashank, R.K., Aditya, C.R., Lavanya, M.C, 2021. Smart mirror using raspberry Pi: a survey. In: 2021 5th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, pp. 634–637.
Salah, O. H., & Ayyash, M. M. (2024). Understanding user adoption of mobile wallet: extended TAM with knowledge sharing, perceived value, perceived privacy awareness and control, perceived security. VINE Journal of Information and Knowledge Management Systems, (ahead-of-print).
Santhanamery, T., & Ramayah, T. (2018). Trust in the system: The mediating effect of perceived usefulness of the e-filing system. In S. Saeed, T. Ramayah, & Z. Mahmood (Eds.), User centric e-government (pp. 89–103). Springer.
Sarwar, Daraghmi, Y.-A., Liu, K.-W., Chi, H.-C., Ik, T.-U., & Li, Y.-L. (2020). Smart Shopping Carts Based on Mobile Computing and Deep Learning Cloud Services. 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1–6.
Savalei, V., & Bentler, P. M. (2006). Structural equation modeling. The handbook of marketing research: uses, misuses. Future Adv, 330, 36.
Scholz, J., & Duffy, K. (2018). We ARe at home: How augmented reality reshapes mobile marketing and consumer-brand relationships. Journal of Retailing and Consumer Services, 44, 11-23.
Schomakers, E. M., Lidynia, C., & Ziefle, M. (2022). The role of privacy in the acceptance of smart technologies: Applying the privacy calculus to technology acceptance. International Journal of Human–Computer Interaction, 38(13), 1276-1289.
Schultz, C. D., & Zacheus, P. (2025). Smart shopping carts in food retailing: Innovative technology and shopping experience in stationary retail. Journal of Consumer Behaviour, 24(1), 436-454.
Sela, R. (2024). Proximity Marketing: Definition, Types, and Strategy. 15 Temmuz 2024 tarihinde https://www.ronsela.com/proximity-marketing/# adresinden erişildi.
Senali, M. G., Iranmanesh, M., Ismail, F. N., Rahim, N. F. A., Khoshkam, M., & Mirzaei, M. (2023). Determinants of intention to use e-Wallet: Personal innovativeness and propensity to trust as moderators. International Journal of Human–Computer Interaction, 39(12), 2361-2373.
Sengupta, K., Ke, M., Menges, R., Kumar, C., & Staab, S. (2018, June). Hands-free web browsing: enriching the user experience with gaze and voice modality. In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications (pp. 1-3).
Sephora. (2024). Sephora Virtual Artist | Sephora Singapore. 15 Temmuz 2024 tarihinde https://www.sephora.sg/pages/virtual-artist adresinden erişildi.
Setiyani, L., & Rostiani, Y. (2021). Analysis of E-commerce adoption by SMEs using the technology-organization-environment (TOE) model: A case study in karawang, Indonesia. International Journal of Science, Technology & Management, 2(4), 1113-1132.
Shankar, A., Kumar, A., Yadav, R., Misra, P., & Pani, S. K. (2024). Should I adopt an integrated virtual clinic? A dual‐factor theory perspective. Journal of Consumer Behaviour, 23(2), 357-371.
Shankar, V., Kalyanam, K., Setia, P., Golmohammadi, A., Tirunillai, S., Douglass, T., ... & Waddoups, R. (2021). How technology is changing retail. Journal of Retailing, 97(1), 13-27.
Shankar, Venkatesh (2018), “How Artificial Intelligence (AI) is Reshaping Retailing,” Journal of Retailing, 94 (4), vi–xi.
Sharifi Fard, S., Alkelani, A. M., & Tamam, E. (2019). Habit as a moderator of the association of utilitarian motivation and hedonic motivation with purchase intention: Implications for social networking websites. Cogent Social Sciences, 5(1), 1674068.
Sharma, N., & Fatima, J. (2024). Influence of perceived value on omnichannel usage: Mediating and moderating roles of the omnichannel shopping habit. Journal of Retailing and Consumer Services, 77, 103627.
Sharmila, G., Ragaventhiran, J., Islabudeen, M., & Kumar, B. M. (2021). RFID Based Smart-Cart system with automated billing and assistance for visually impaired. Materials Today: Proceedings (2021).
Shaw, S., & Crisp, V. (2011). Tracing the evolution of validity in educational measurement: past issues and contemporary challenges, Resarch Matters, 11 (2011), 14–19.
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170
Shetu, S. N., Islam, M. M., & Promi, S. I. (2022). An empirical investigation of the continued usage intention of digital wallets: The moderating role of perceived technological innovativeness. Future Business Journal, 8(1), 43.
Shivers‐Blackwell, S. L., & Charles, A. C. (2006). Ready, set, go: examining student readiness to use ERP technology. Journal of management Development, 25(8), 795-805.
Shuhaiber, A. (2016). Factors influencing consumer trust in mobile payments in the United Arab Emirates (Doctoral dissertation, Open Access Te Herenga Waka-Victoria University of Wellington).
Sidaoui, K., Jaakkola, M., & Burton, J. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal of Service Management, 31(4), 745-766.
Siddiqui, A.V. (2023). Smart Mirrors - In Retail Industry. 15 Temmuz 2024 tarihinde https://www.linkedin.com/pulse/smart-mirrors-retail-industry-abdul-vaseem-siddiqui adresinden erişildi.
Silva, S. C., De Cicco, R., Vlačić, B., & Elmashhara, M. G. (2023). Using chatbots in e-retailing–how to mitigate perceived risk and enhance the flow experience. International Journal of Retail & Distribution Management, 51(3), 285-305.
Singh, G., Srivastav, S., Gupta, A., & Garg, V. (2020, June). Companies adoption of IoT for smart retailing in industry 4.0. In 2020 International Conference on Intelligent Engineering and Management (ICIEM) (pp. 487-492). IEEE.
Siu, N. Y., & Chang, L. M. (2014, October). A study of service quality, perceived risk and personal innovativeness in internet banking. In Revolution in Marketing: Market Driving Changes: Proceedings of the 2006 Academy of Marketing Science (AMS) Annual Conference (pp. 78-83). Cham: Springer International Publishing.
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & marketing, 32(8), 860-873.
Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS quarterly, 167-196.
Smith, H. Jeff, Tamara Dinev and Heng Xu (2011), “Information Privacy Research: An Interdisciplinary Review,” MIS Quarterly, 35 (4), 989–1015.
Sohaib, O., & Kang, K. (2015). Individual level culture influence on online consumer iTrust aspects towards purchase intention across cultures: A SOR model. International Journal of Electronic Business, 12(2), 142-161.
Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47, 101324.
Sohn, S. (2024). Consumer perceived risk of using autonomous retail technology. Journal of Business Research, 171, 114389.
Soliman, D. S. A., Shalaby, R. A. E. A. Y., Khourshed, N. F., & Amara, D. F. (2024). The Impact of Technological Innovativeness on the Intention to Utilize Digital Transformation: An Application of Diffusion of Innovation in the Egyptian Private Universities. المجلة العربية للإدارة, 1-20.
Song, C. S., & Kim, Y. K. (2022). The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots. Journal of Business Research, 146(2), 489-503.
Song, H. G., & Jo, H. (2023). Understanding the continuance intention of omnichannel: Combining TAM and TPB. Sustainability, 15(4), 3039.
Song, W., Jin, X., Gao, J., & Zhao, T. (2021). Feeling Deficient but Reluctant to Improve: How Perceived Control Affects Consumers' Willingness to Purchase Self-Improvement Products Under Self-Deficit Situations. Frontiers in Psychology, 12, 544523.
Sprinklr. (2022). What is a voice bot? 20 Temmuz 2024 tarihinde https://www.sprinklr.com/blog/voice-bot/ adresinden erişildi.
Sprotles, G. B., & Kendall, E. L. (1986). A methodology for profiling consumers' decision‐making styles. Journal of Consumer Affairs, 20(2), 267-279.
Srivastava, K., & Pal, D. (2024). Importance of AI attributes in Indian retail stores: a conjoint analysis approach. International Journal of Retail & Distribution Management, 52(3), 355-371.
Statista, (2023). Impact of artificial intelligence (AI) and machine learning (ML) use on retail performance between 2022 and 2024. 15 Temmuz 2024 tarihinde https://www.statista.com/statistics/1453198/ai-and-ml-impact-on-retail-performance/ adresinden erişildi.
Stein, C. M., Morris, N. J., & Nock, N. L. (2012). Structural equation modeling. Statistical human genetics: Methods and protocols, 495-512.
Stewart, Kathy A. and Albert H. Segars (2002), “An Empirical Examination of the Concern For Information Privacy Instrument,” Information Systems Research, 13 (1), 36–49.
Sturari, M., Liciotti, D., Pierdicca, R., Frontoni, E., Mancini, A., Contigiani, M., & Zingaretti, P. (2016). Robust and affordable retail customer profiling by vision and radio beacon sensor fusion. Pattern Recognition Letters, 81, 30-40.
Sujood, Hamid, S. and Bano, N. (2021), “Behavioral intention of traveling in the period of COVID-19: an application of the theory of planned behavior (TPB) and perceived risk”, International Journal of Tourism Cities, Vol. 8 No. 2, pp. 357-378.
Sujood, N. B., Siddiqui, S., & Bano, N. (2024). Consumers' intention towards the use of smart technologies in tourism and hospitality (T&H) industry: A deeper insight into the integration of TAM, TPB and trust. Journal of Hospitality and Tourism Insights, 7(3), 1412–1434.
Sun, Y., Xue, W., Bandyopadhyay, S., & Cheng, D. (2022). WeChat mobile-payment-based smart retail customer experience: an integrated framework. Information Technology and Management, 23(2), 77-94.
Sung, H. N., Jeong, D. Y., Jeong, Y. S., & Shin, J. I. (2015). The relationship among self-efficacy, social influence, performance expectancy, effort expectancy, and behavioral intention in mobile learning service. International Journal of u-and e-Service, Science and Technology, 8(9), 197-206.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220.
Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1997). Retail service quality and perceived value: A comparison of two models. Journal of retailing and Consumer Services, 4(1), 39-48.
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial marketing management, 69, 135-146.
Tabachnick, B. G. & Fidell, L. S. (2015). Çok değişkenli istatistiklerin kullanımı [Using multivariate statistics]. Çeviri Editörü: M. Baloğlu. Ankara: Nobel Yayınları.
Thakur, R., Angriawan, A., & Summey, J. H. (2016). Technological opinion leadership: The role of personal innovativeness, gadget love, and technological innovativeness. Journal of Business research, 69(8), 2764-2773.
Thamm, A.; Anke, J.; Haugk, S.; Radic, D. Towards the Omni-Channel: Beacon-Based Services in Retail. In Business Information Systems, Proceedings of the 19th International Conference, BIS 2016, Leipzig, Germany, 6–8 July 2016; Springer: Berlin/Heidelberg, Germany, 2016; Volume 255.
Thomas-Francois, K., & Somogyi, S. (2023). Self-Checkout behaviours at supermarkets: does the technological acceptance model (TAM) predict smart grocery shopping adoption?. The International Review of Retail, Distribution and Consumer Research, 33(1), 44-66.
Thompson, S., 1981. Will it hurt less if I can control it? A complex answer to a simple question. Psychological bulletin 90 (1), 89–101.
Toshniwal, V. P., Jain, R., Soni, G., Mangla, S. K., & Narula, S. (2024). Technology adoption theories towards environmentally sustainable pharma 4.0: a rational selection approach. Management of Environmental Quality: An International Journal, 35(3), 684-711.
Trepte, S., Scharkow, M., & Dienlin, T. (2020). The privacy calculus contextualized: The influence of affordances. Computers in Human Behavior, 104, 106115.
Troise, C., O'Driscoll, A., Tani, M., & Prisco, A. (2021). Online food delivery services and behavioural intention–a test of an integrated TAM and TPB framework. British food journal, 123(2), 664-683.
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of marketing research, 51(5), 546-562.
Tung, F.C., Chang, S.C. and Chou, C.M. (2008), “An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry”, International Journal of Medical Informatics, 77(5), 324-335.
Turel, O., Serenko, A. and Bontis, N. (2007), “User acceptance of wireless short messaging services: deconstructing perceived value”, Information & Management, 44(1), 63-73.
Turel, O., Serenko, A. and Bontis, N. (2010), “User acceptance of hedonic digital artifacts: a theory of consumption values perspective”, Information & Management, 47(1), 53-59.
Türkiye İstatistik Kurumu. (2023). Adrese Dayalı Nüfus Kayıt Sistemi (ADNKS) sonuçları, 2023. 10.01.2024 tarihinde
https://www.tuik.gov.tr/indir/duyuru/favori_raporlar.xlsx adresinden erişilmiştir.
Türkiye İstatistik Kurumu. (2023). İl Bazında Gayrisafi Yurt İçi Hasıla, 2023. TÜİK Veri Portalı. 10.01.2024 tarihinde https://data.tuik.gov.tr/Bulten/Index?p=Il-Bazinda-Gayrisafi-Yurt-Ici-Hasila-2023-53575 adresinden erişilmiştir.
Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2022). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management, 13(3), 713-737.
Ullman, J. B., & Bentler, P. M. (2012). Structural equation modeling. Handbook of Psychology, Second Edition, 2.
Um, J., & Yoon, S. (2021). Evaluating the relationship between perceived value regarding tourism gentrification experience, attitude, and responsible tourism intention. Journal of Tourism and Cultural Change, 19(3), 345-361.
Vadruccio, R., Siragusa, C., Guglielmetti, C., & Tumino, A. (2022). Smart Retailing: a model to assess the economic sustainability of smart shelf-enabled dynamic pricing. ... Summer School Francesco Turco. Proceedıngs, 1-7.
Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo arigato Mr. Roboto: Emergence of automated social presence in organizational frontlines and customers’ service experiences. Journal of service research, 20(1), 43-58.
van Esch, P., Cui, Y., & Jain, S. P. (2021). Self‐efficacy and callousness in consumer judgments of AI‐enabled checkouts. Psychology & Marketing, 38(7), 1081-1100.
Van Ittersum, K., Wansink, B., Pennings, J. M., & Sheehan, D. (2013). Smart shopping carts: How real-time feedback influences spending. Journal of Marketing, 77(6), 21-36.
Van Noort, Guda, Hilde A.M. Voorveld, and Eva A. van Reijmersdal (2012), “Interactivity in Brand Web Sites: Cognitive, Affective, and Behavioral Responses Explained by Consumers' Online Flow Experience,” Journal of Interactive Marketing, 26, 4, 223–34.
Varma, A., Varde, Y., Ray, S., & Mishra, N. (2024). Reinventing the retail experience: The case of amazon GO. World Journal of Advanced Research and Reviews, 21(3), 1123-1133.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
Verhagen, Tibert, Charlotte Vonkeman, Frans Feldberg, and Pløn Verhagen (2014), “Present It Like It Is Here: Creating Local Presence to Improve Online Product Experiences,” Computers in Human Behavior, 39, C, 270–80.
Vieira, V. A., Rafael, D. N., & Agnihotri, R. (2022). Augmented reality generalizations: A meta-analytical review on consumer-related outcomes and the mediating role of hedonic and utilitarian values. Journal of Business Research, 151, 170-184.
Vieira, V., Santini, F. O., & Araujo, C. F. (2018). A meta-analytic review of hedonic and utilitarian shopping values. Journal of Consumer Marketing, 35(4), 426-437.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & management, 41(6), 747-762.
Villagomez, Y. S. B., & Chacón, S. J. C. (2020). Perceived value as a mediating variable in the theory of planned behavior: Application to the intention of completing an master of business administration. International Review of Management and Marketing, 10(4), 140.
Vishwakarma, P. (2024). Investigating consumers’ adoption of electric vehicles: a perceived value-based perspective. Marketing Intelligence & Planning.
Vishwakarma, P., Mukherjee, S., & Datta, B. (2020). Travelers’ intention to adopt virtual reality: A consumer value perspective. Journal of Destination Marketing & Management, 17, 100456.
Voelz, A., Mladenow, A., & Strauss, C. (2021). Beacon technology for retailers-tracking consumer behavior inside brick-and-mortar-stores. In International Conference on Database and Expert Systems Applications (pp. 380-390). Cham: Springer International Publishing.
Vojvodić, K. (2019). Brick-and-mortar retailers: Becoming smarter with innovative technologies. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management, 24(2).
Völz, A., Hafner, P., & Strauss, C. (2022). Expert Opinions on Smart Retailing Technologies and Their Impacts. J. Data Intell., 3(2), 278-296.
Vu, T. D., Nguyen, B. K., Vu, P. T., Nguyen, T. M. N., & Hoang, C. C. (2024). Promoting customer satisfaction and reuse intention using ride-hailing taxi services: role of consumer perceived value, personal innovativeness and corporate image. Asia-Pacific Journal of Business Administration.
Walburg, M. (2021). Smart retailing: What is the future of retail store technology? BinarApps. 1 Eylül 2024 tarihinde https://binarapps.com/smart-retailing-what-is-the-future-of-retail-store-technology/ adresinden erişilmiştir.
Wang, C., Ahmad, S. F., Ayassrah, A. Y. B. A., Awwad, E. M., Irshad, M., Ali, Y. A., ... & Han, H. (2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce. Heliyon, 9(8).
Wang, E. S. T. (2022). Influences of innovation attributes on value perceptions and usage intentions of mobile payment. Journal of Electronic Commerce Research, 23(1), 45-58.
Wang, F. J., & Chiu, W. (2023). Service encounter and repurchase intention in fitness centers: perceived value as a mediator and service innovativeness as a moderator. International Journal of Sports Marketing and Sponsorship, 24(1), 145-167.
Wang, Q., Yang, M., & Zhang, W. (2021). Accessing the influence of perceived value on social attachment: developing country perspective. Frontiers in psychology, 12, 760774.
Wang, R. N., Zhang, Y. C., Wu, R. K., Li, B., Li, C. W., Yu, B. T., & Zhang, Y. L. (2021). A study of self-precaution against the background of the COVID-19 pandemic from the perspective of risk perception attitude theory and social support. BMC Public Health, 21, 1-12.
Wang, W., Cao, D., & Ameen, N. (2023). Understanding customer satisfaction of augmented reality in retail: A human value orientation and consumption value perspective. Information Technology & People, 36(6), 2211-2233.
Wang, Y. Y., Lin, H. H., Wang, Y. S., Shih, Y. W., & Wang, S. T. (2018). What drives users’ intentions to purchase a GPS Navigation app: The moderating role of perceived availability of free substitutes. Internet Research, 28(1), 251-274.
Ward, J.C., & Barnes, J.W. (2001). Control and affect: The influence of feeling in control of the retail environment on affect, involvement, attitude, and behavior. Journal of Business Research, 54(2), 139–144.
Weinberg, B. D., Milne, G. R., Andonova, Y. G., & Hajjat, F. M. (2015). Internet of Things: Convenience vs. privacy and secrecy. Business horizons, 58(6), 615-624.
Wells, J. D., Campbell, D. E., Valacich, J. S., & Featherman, M. (2010). The effect of perceived novelty on the adoption of information technology innovations: a risk/reward perspective. Decision Sciences, 41(4), 813-843.
Weretecki, P., Greve, G., Bates, K., & Henseler, J. (2021). Information management can’t be all fun and games, can it? How gamified experiences foster information exchange in multi-actor service ecosystems. International journal of information management, 61, 102391.
White, P. (2004, October). Privacy and security issues in teleradiology. In Seminars in Ultrasound, CT and MRI (Vol. 25, No. 5, pp. 391-395). WB Saunders.
Wirtz, J., Patterson, P.G., Kunz, W.H., Gruber, T., Lu, V.N., Paluch, S. and Martins, A. (2018), “Brave new world: service robots in the frontline”, Journal of Service Management, Vol. 29 No. 5, pp. 907-931.
Wong, W. K., Leung, S. Y. S., Guo, Z. X., Zeng, X. H., & Mok, P. Y. (2012). Intelligent product cross-selling system with radio frequency identification technology for retailing. International Journal of Production Economics, 135(1), 308-319.
Woodall, T. (2003). Conceptualising ‘value for the customer’: an attributional, structural and dispositional analysis. Academy of marketing science review, 12(1), 1-42.
WordStream. (2023). 5 Things You Need to Know About Beacon Technology. 11.05.2025 tarihinde https://www.wordstream.com/blog/ws/2018/10/04/beacon-technology?utm_source=chatgpt.com adresinden erişilmiştir.
Woschank, M., Rauch, E. and Zsifkovits, H. (2020), “A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics”, Sustainability (Switzerland), 12(9).
Wu, L., & Chen, J. L. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: an empirical study. International journal of human-computer studies, 62(6), 784-808.
Wu, X., Xiang, H., Wang, Y., & Huo, Y. (2024). How does customer satisfaction change after hotels start using self-service kiosks?. International Journal of Hospitality Management, 122, 103872.
Wünderlich, N. V., Heinonen, K., Ostrom, A. L., Patricio, L., Sousa, R., Voss, C., & Lemmink, J. G. (2015). "Futurising" smart service: implications for service researchers and managers. Journal of Services Marketing, 29(6/7), 442-447.
Xiang, J., Jing, L., Lee, H.S. and Choi, I.Y. (2014), “Comparing the effects of perceived enjoyment and perceived risk on hedonic/utilitarian smartphone applications”, Proceedings of the 13th Wuhan International Conference on e-Business, pp. 387-394.
Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision support systems, 51(1), 42-52.
Xu, Y., Jeong, E., Baiomy, A. E., & Shao, X. (2020). Investigating onsite restaurant interactive self-service technology (ORISST) use: Customer expectations and intentions. International Journal of Contemporary Hospitality Management, 32(10), 3335-3360.
Xue, J., Liang, X., Xie, T., & Wang, H. (2020). See now, act now: How to interact with customers to enhance social commerce engagement?. Information & Management, 57(6), 103324.
Yadegari, M., Mohammadi, S., & Masoumi, A. H. (2024). Technology adoption: an analysis of the major models and theories. Technology Analysis & Strategic Management, 36(6), 1096-1110.
Yan, A., S. Solomon, D. Mirchandani, M. Lacity and J. Porra (2013). The role of service agent, service quality, and user satisfaction in self-service technology. Thirty Fourth International Conference on Information Systems, Milan, Italy.
Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (2021). Mobile apps for healthy living: Factors influencing continuance intention for health apps. Technological Forecasting and Social Change, 166, 120644.
Yan, Y., Fan, W., Shao, B., & Lei, Y. (2022). The impact of perceived control and power on adolescents’ acceptance intention of intelligent online services. Frontiers in Psychology, 13, 1013436.
Yang, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269.
Yang, J. J., & Ahn, S. C. (2020). The effects of attitude, subjective norm, and behavioral intention on perceived values in traditional marketplaces. Journal of Distribution Science, 18(10), 25-38.
Yang, X. (2022). Consumers' purchase intentions in social commerce: the role of social psychological distance, perceived value, and perceived cognitive effort. Information Technology & People, 35(8), 330-348.
Yang, Y., Asaad, Y., & Dwivedi, Y. (2017). Examining the impact of gamification on intention of engagement and brand attitude in the marketing context. Computers in human behavior, 73, 459-469.
Yasa, N., P. Piartrini, N. L. W. S. Telagawathi, Nilna Muna, P. Rahmayanti, M. Wardana, N. Wijaya, P. Ribek, and I. Suartina. "The role of attitude to mediate the effect of trust, perceived behavior control, subjective norm and per-ceived quality on intention to reuse the COVID-19 website." International Journal of Data and Network Science 6, no. 3 (2022): 895-904.
Yen, Y. S. (2013). Exploring perceived value in social networking sites: The mediation of customer satisfaction. International Journal of Computer and Information Technology, 2(3), 386-391.
Yeo, V. C. S., Goh, S. K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162.
Yim, M. Y. C., Chu, S. C., & Sauer, P. L. (2017). Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. Journal of interactive marketing, 39(1), 89-103.
Yin, J., & Qiu, X. (2021). AI technology and online purchase intention: Structural equation model based on perceived value. Sustainability, 13(10), 5671.
Yong, A., Rana, M. E., & Shanmugam, K. (2022, March). Improved shopping experience through RFID based smart shopping system. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 635-644). IEEE.
Yoo, C. W., Goo, J., Huang, C. D., Nam, K., & Woo, M. (2017). Improving travel decision support satisfaction with smart tourism technologies: A framework of tourist elaboration likelihood and self-efficacy. Technological Forecasting and Social Change, 123, 330-341.
Yoo, C. W., Rhee, C., & Choe, Y. C. (2012). The power of trust in the relationship between online shopping experience and perceived shopping value. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 7(1), 47-56.
Yoon, S. M., Oh, S. Y., & Ha, J. Y. (2011). Analysis of effect relationship among perceived value, satis-faction, attitude, and behavioral intention of visitor in local festival: The case of Andong maskdance festival visitors. Journal of Hospitality & Tourism Studies, 13(4), 82–97
Youn, S. Y., & Lee, K. H. (2019). Proposing value-based technology acceptance model: testing on paid mobile media service. Fashion and Textiles, 6 (1), 1–16.
Yu, J., Lee, H., Ha, I., & Zo, H. (2017). User acceptance of media tablets: An empirical examination of perceived value. Telematics and informatics, 34(4), 206-223.
Yu, J., Zo, H., Kee Choi, M., & P. Ciganek, A. (2013). User acceptance of location-based social networking services: An extended perspective of perceived value. Online Information Review, 37(5), 711-730.
Yu, T., Teoh, A. P., Liao, J., & Wang, C. (2025). Factors influencing behavioral intention to use facial recognition payment in the restaurant industry: A comparative analysis of China and Malaysia. Journal of Travel & Tourism Marketing, 42(2), 222-247.
Yuan, C., Zhang, C., & Wang, S. (2022). Social anxiety as a moderator in consumer willingness to accept AI assistants based on utilitarian and hedonic values. Journal of Retailing and Consumer Services, 65, 102878.
Yuan, X., Chu, K., & Cai, S. (2018). When is information quality more important?: the moderating effects of perceived market orientation and shopping value. Journal of Global Information Management (JGIM), 26(2), 204-232.
Yue, Y., Ng, S. I., & Basha, N. K. (2024). Consumption values, attitudes and continuance intention to adopt ChatGPT-driven e-Commerce AI Chatbot (LazzieChat). Pakistan Journal of Commerce and Social Sciences (PJCSS), 18(2), 249-284.
Yuen, K. F., Chua, J. Y., Li, X., & Wang, X. (2023). The determinants of users’ intention to adopt telehealth: health belief, perceived value and self-determination perspectives. Journal of Retailing and Consumer Services, 73, 103346.
Yuen, K. F., Wang, X., Ma, F., & Wong, Y. D. (2019). The determinants of customers’ intention to use smart lockers for last-mile deliveries. Journal of Retailing and Consumer Services, 49, 316-326.
Yusnara, R. I., & Soepatini, S. (2023). Utilitarian, hedonic, and social values on e-commerce customer loyalty: mediating role of customer satisfaction. Journal of Enterprise and Development (JED), 5(2), 296-316.
Zaitouni, M. (2019). A Comparison of Self-Service Technologies (SSTs) in the US Restaurant Industry: An Evaluation of Consumer Perceived Value, Satisfaction, and Behavioral Intentions. Electronic Theses and Dissertations. 6596. University of Central Florida.
Zaitouni, M., & Murphy, K. S. (2023). Self-Service Technologies (SST) in the US Restaurant industry: An evaluation of consumer perceived value, satisfaction, and continuance intentions. Journal of Foodservice Business Research, 1-32.
Zauner, A., Koller, M., & Hatak, I. (2015). Customer perceived value—Conceptualization and avenues for future research. Cogent psychology, 2(1), 1061782.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.
Zhang, F., Sun, S., Liu, C., & Chang, V. (2020). Consumer innovativeness, product innovation and smart toys. Electronic Commerce Research and Applications, 41, 100974.
Zhang, H. J., Fang, C. Y., & Lin, P. M. C. (2024). AR Service Quality and Adoption Intention in Museums: The Mediating Role of Perceived Value and the Moderating Effect of Intracultural Differences. Journal of Quality Assurance in Hospitality & Tourism, 1-30.
Zhang, T., Wang, W. Y. C., Cao, L., & Wang, Y. (2019). The role of virtual try-on technology in online purchase decision from consumers’ aspect. Internet Research, 29(3), 529-551.
Zhang, W. and Liu, L. (2022), “Unearthing consumers’ intention to adopt eco-friendly smart home services: an extended version of the theory of planned behavior model”, Journal of Environmental Planning and Management, Vol. 65 No. 2, pp. 216-239
Zhang, X., & Yu, X. (2020). The impact of perceived risk on consumers’ cross-platform buying behavior. Frontiers in psychology, 11, 592246.
Zhao, M., Hoeffler, S., & Zauberman, G. (2011). Mental Simulation and Product Evaluation: The Affective and Cognitive Dimensions of Process versus Outcome Simulation. Journal of Marketing Research, 48(5), 827-839.
Zhu, B. (2021). Consumer Intention to Adopt Dockless Bike Sharing Scheme in Southern China Based on Value-Attitude-Behavior Model. Asia-Pacific Social Science Review, 21(2), 11.
Zhu, G., Sangwan, S., & Lu, T. J. (2010). A new theoretical framework of technology acceptance and empirical investigation on self‐efficacy‐based value adoption model. Nankai Business Review International, 1(4), 345-372.
Zolfaghari, A., Thomas-Francois, K., & Somogyi, S. (2023). Consumer adoption of digital grocery shopping: what is the impact of consumer’s prior-to-use knowledge?. British Food Journal, 125(4), 1355-1373.
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