From Technology to the Table: Discovering Consumer Acceptance of Silicon Valley-Inspired Foods

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Referanslar

Abdullah, K. M., Putit, L., Humaidi, N., Ying, T. Y., Hidayati, T., & Hendrayati, H. (2025). Consumer innovativeness and uncertainty avoidance in the acceptance of sustainable food innovations. Discover Sustainability, 6, Article 1199. https://doi.org/10.1007/s43621-025-02069-w

Akbay B., Karakoç Topal Ö., & Bostan Sarıoğlan A. (2025) ‘Artificial Intelligence Literacy and Anxiety Levels of Pre-service Science Teachers: a Mixed Method Study’. Journal on Efficiency and Responsibility in Education and Science, 18, (4), 318–333. http:// dx.doi.org/10.7160/eriesj.2025.180407

Akkaya Öner, E. (2025). Use of innovative plant-based protein sources in the beverage industry Developments and applications.

Current Research in Food Science, 8, 100776.

https://doi.org/10.1016/j.crfs.2024.100776

Ariffin, S. K., Mohan, T., & Goh, Y.-N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309–327. https://doi.org/10.1108/JRIM-11-2017-0100

Arruda Filho, E. J. M., Simões, J. D. S., & De Muylder, C. F. (2020). The low effect of perceived risk in the relation between hedonic values and purchase intention. Journal of Marketing Management, 36(1–2), 128–148. https://doi.org/10.1080/0267257X.2019.1697725

Arruda, E. J. M., Szymanski, J. D. S., & Muylder, C. F. de. (2023). Understanding the effect of perceived risk on online purchase intention: The mediating role of hedonic and utilitarian values. International Journal of Services, Economics and Management, 15(2), 119–135. https://doi.org/10.1504/IJSEM.2023.140824

Babbie, E. (2017). The basics of social research (7th ed.). Boston, MA: Cengage Learning. ISBN 978-1-305-50307-6.

Brennan, C. S. (2024). Regenerative food innovation: The role of agro-food chain by-products and plant-origin food to obtain high-value-added foods. Foods, 13(4), 427. https://doi.org/10.3390/foods13040427

Burger, A., Hernández, K., & Jones, D. (2023). Drones in food delivery: An analysis of consumer values and perspectives. British Food Journal. Advance online publication. https://doi.org/10.1108/BFJ-03-2024-0255

Carrión, A., Serrano, J., & García, A. (2018). Internet of Things applied to an urban garden. Horticulturae, 4(3), 29. https://doi.org/10.3390/horticulturae4030029

Carrion, C. E., Huerta, M., & Barzallo, B. (2018). Internet of Things (IoT) applied to an urban garden. In 2018 IEEE Colombian Conference on Communications and Computing (COLCOM) (pp. 1–6). IEEE. https://doi.org/10.1109/ColComCon.2018.8466741

Chen, C.-C., Chen, M.-H., & Chen, S.-H. (2020). Consumer attitudes and purchase intentions toward food delivery platform services. Sustainability, 12(23), 10177. https://doi.org/10.3390/su122310177

Chen, H.-S., Liang, C.-H., Liao, S.-Y., & Kuo, H.-Y. (2020). Consumer attitudes and purchase intentions toward food delivery platform services. Sustainability, 12(23), 10177. https://doi.org/10.3390/su122310177

Chen, L., Rashidin, M. S., Song, F., Wang, Y., & Javed, H. M. U. (2021). Determinants of consumers’ purchase intention on fresh e-commerce platforms: Perspective of UTAUT model. Frontiers in Psychology, 12, 732569. https://doi.org/10.3389/fpsyg.2021.732569

Chen, L., Rashidin, M. S., Song, F., Wang, Y., Javed, S., & Wang, J. (2021). Determinants of consumer’s purchase intention on fresh e-commerce platform: Perspective of UTAUT model. SAGE Open, 11(2), 1–17. https://doi.org/10.1177/21582440211027875

Chen, Y., Xu, P., & Li, Z. (2024). Drone–robot collaborative delivery optimization under energy constraints. arXiv Preprint. https://doi.org/10.48550/arXiv.2405.11094

Chiang, C.-F., & Guo, Y. (2021). A validated scale for assessing consumer perceptions of food technology innovations. International Journal of Hospitality Management, 94, 102811. https://doi.org/10.1016/j.ijhm.2020.102811

Choe, J. Y., Choi, J., & Min, S. G. (2021). Consumer acceptance and physicochemical properties of insect-enriched 3D-printed snacks. Food Quality and Preference, 93, 104270. https://doi.org/10.1016/j.foodqual.2021.104270

Codeluppi, G., Cilfone, A., Davoli, L., & Ferrari, G. (2019). VegIoT Garden: A modular IoT management platform for urban vegetable gardens. In Proceedings of an IEEE conference

Codeluppi, S., Venturi, M., Castagnetti, A., & Bacchin, P. (2019). VegIoT Garden: A modular IoT management platform for urban vegetable gardens. Sensors, 19(4), 1–20. https://doi.org/10.3390/s19040949

Costa-Font, M., Gil, J. M., & Traill, W. B. (2008). Consumer acceptance, valuation of, and attitudes toward genetically modified food: Review and implications. Food Policy, 33(2), 99–111. https://doi.org/10.1016/j.foodpol.2007.07.002

Çallı, D. S., Bilgili, B., & Kumaş, G. (2023). Cumhuriyetin 100 Yılında Turizm ve Teknolojinin Yolculuğu. Anadolu İktisat ve İşletme Dergisi, 7(2), 108-127.

Derossi, A., Caporizzi, R., Severini, C., & Fiore, A. (2021). Designing 3D printed foods: Structural, mechanical and sensory considerations. Journal of the Science of Food and Agriculture, 101(4), 1111–1122. https://doi.org/10.1002/jsfa.10731

Dow, D. E., Fiorino, M. A., Lawless, K. D., Doucette, B. A., & Basnet, S. (2024). Home grown automated garden. In 2024 IEEE Conference on Technologies for Sustainability (SusTech) (pp. 404–409). IEEE. https://doi.org/10.1109/SusTech60925.2024.10553559

Dow, L., Tan, X., & Wong, J. (2024). Home-grown automated garden: A modular smart-garden prototype for small urban households. Engineering, 10(2), 115–128.

Eger, L., Tomczyk, Ł., Klement, M., Pisoňová, M., & Petrová, G. (2020). How do first year university students use ICT in their leisure time and for learning purposes? International Journal of Cognitive Research in Science, Engineering and Education, 8(2), 35–52. https://doi.org/10.5937/IJCRSEE2002035E

Escalante-Aburto, A., Trujillo-de Santiago, G., Alvarez, M. M. & Chuck-Hernández, C. (2021). Advances and prospective applications of 3D food printing for health improvement and personalized nutrition. Comprehensive Reviews in Food Science and Food Safety, 20(6), 5722–5741. https://doi.org/10.1111/1541-4337.12849

Etzbach, L., Golab, S., Küllmer, F., Acir, I.-H., Wohlt, D., Ignatzy, L. M., Bader-Mittermaier, S., & Schweiggert-Weisz, U. (2024). Opportunities and challenges of plant proteins as functional ingredients for food production.

Frontiers in Sustainable Food Systems, 8, 1641712.

https://doi.org/10.3389/fsufs.2024.1641712

Etzbach, L., Trinh, L., & Gibis, M. (2024). Opportunities and challenges of plant proteins as functional ingredients for food production. Food Science & Technology International, 30(1), 5–22. https://doi.org/10.1177/10820132231220490

Farhat, R., Yang, Q., Ahmed, M. A. O., & Hasan, G. (2025). E-commerce for a sustainable future: Integrating trust, product quality perception, and online-shopping satisfaction. Sustainability, 17(4), 1431. https://doi.org/10.3390/su17041431

Farr, A., Pothast, R., & Siegrist, M. (2021). AR portion size estimation and effects on consumption decisions. Foods, 10(89), 1–13. https://doi.org/10.3390/foods10010089

Feng, X., Khemacheevakul, K., Siller, S. D. L., Wolodko, J. ve Wismer, W. (2022). Effect of labelling and information on consumer perception of foods presented as 3D printed. Foods, 11(6), 809. https://doi.org/10.3390/foods11060809

Floreano, D., Kwak, B., Pankhurst, M., Shintake, J., Caironi, M., Annese, V. F., … Boom, R. M. (2024). Towards edible robots and robotic food. Nature Reviews Materials. https://doi.org/10.1038/s41578-024-00688-9

Gawron, C., Oehlmann, J., & Wesselbaum, D. (2024). Will consumers accept autonomous delivery robots? Evidence from behavioral experiments. Frontiers in Robotics and AI, 8, 789107. https://doi.org/10.3389/frobt.2021.789107

Godoi, F. C., Prakash, S., & Bhandari, B. R. (2016). 3D printing technologies applied for food design: Status and opportunities. Journal of Food Engineering, 179, 44–54. https://doi.org/10.1016/j.jfoodeng.2016.01.025

Gonzalez, M. T., & Kirkevold, M. (2016). Design characteristics of sensory gardens in Norwegian nursing homes: A cross-sectional survey. Journal of Clinical Nursing, 25(19–20), 2956–2965. https://doi.org/10.1111/jocn.13364

González, M. T., & Kirkevold, M. (2016). Sensory gardens in Norwegian nursing homes: A qualitative study of the experiences of residents with dementia. Journal of Housing for the Elderly, 30(2), 141–155. https://doi.org/10.1080/02763893.2015.1129389

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications.

Hair, J., Sarstedt, M., Hopkins, L., Kuppelwieser, V. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool for Business Research. European Business Review. 26. 106-121. https://doi.org/10.1108/EBR-10-2013-0128.

Hassoun, A., Bekhit, A. E.-D. A., Jambrak, A. R., Regenstein, J. M., Chemat, F., Morton, J. D., Guðjónsdóttir, M., Carpena, M., Prieto, M. A., Varela, P., Arshad, R. N., Aadil, R. M., Bhat, Z. F. ve Ueland, Ø. (2022). Consumer acceptance of new food trends resulting from the fourth industrial revolution technologies: A narrative review of literature and future perspectives. Frontiers in Nutrition, 9, 972154. https://doi.org/10.3389/fnut.2022.972154

Gürbüz, F., & Bostan Sarıoğlan, A. (2005). Secondary School Students’ Opinions on Teaching the Structure of the Atom with Augmented Reality Application. Journal of Education and Future (28), 44-55. https://doi.org/10.30786/jef.1609883

Hassoun, A., et al. (2022). 3D printing of food: Safety, sustainability, and technological developments. Comprehensive Reviews in Food Science and Food Safety, 21(3), 2285–2310. https://doi.org/10.1111/1541-4337.12910

Hwang, J., & Kim, H. (2019). Consequences of a green image of drone food delivery services: The moderating role of gender and age. Business Strategy and the Environment, 28(6), 872–884. https://doi.org/10.1002/bse.2289

Hwang, J., Seo, S., & Kim, H. (2023). Immersive AR dining experiences and consumer behavioral responses. International Journal of Hospitality Management, 115, 103670. https://doi.org/10.1016/j.ijhm.2023.103670

İlban, M. O., & Uluer Savgın, C. (2020). Nerede O Eski Mutfaklar. Seyahat Ve Otel İşletmeciliği Dergisi, 17(3), 509-523. https://doi.org/10.24010/soid.707474

İlban, M. O., Güleç, E., Çolakoğlu, F., & Karabıyık, Ş. (2021). Türkistan’dan günümüze Türk mutfak kültürünün gelişimi: Geleneksel Türk mutfağının günümüz yeme-içme alışkanlıklarındaki yeri. Türk Dünyası Araştırmaları, 127(251), 269–288. https://izlik.org/JA52EC96TF

Ilyas, M., Kim, H., & Park, S. (2024). Robotics in commercial food preparation: Automation, safety, and consumer acceptance. Frontiers in Robotics and AI, 11, 112–129. https://doi.org/10.3389/frobt.2024.012345

Jayaprakash, P., Bhandari, B., Prakash, S., & Godoi, F. C. (2020). 3D printing of texture-modified foods for dysphagia patients: A review. Food Reviews International, 36(6), 583–600. https://doi.org/10.1080/87559129.2019.1704008

Ju, J., Mohd Adnan, H., & Teo, P. C. (2025). Electronic service quality and Chinese consumers’ perceived risk, purchase intention, and confidence in live-streaming of fresh agricultural products. Social Behavior and Personality: An international journal, 53(6), e14178. https://doi.org/10.2224/sbp.14178

Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery: A structural equation modelling approach. Transportation Research Part C, 111, 210–232. https://doi.org/10.1016/j.trc.2019.12.016

Karoui, R., & Bouaicha, A. (2024). Nutritional and functional challenges of plant-based proteins: A review. Food Chemistry, 430, 137152. https://doi.org/10.1016/j.foodchem.2024.137152

Karoui, R., & Bouaicha, M. (2024). Plant proteins: Nutritional quality, digestibility challenges and functional improvements.

Food Chemistry, 430, 137105.

https://doi.org/10.1016/j.foodchem.2024.137105

Kim, J., Lee, H., & Yoon, Y. (2023). Autonomous robot delivery in last-mile logistics: A systems perspective. Engineering, 5, 166–182. https://doi.org/10.3390/eng5010166

Klippel, A., Rosa, N. R., Kok, E., Siebelink, E., Masterson, T., & van Alst, M. (2023). AReplica: User-centered AR design for portion-size estimation and dietary assessment. Sensors, 23(2), 778. https://doi.org/10.3390/s23020778

Kumaş, G., & Bilgili, B. (2023). Turizm işletmelerinin hizmet kalitesi algısında temizlik ve hijyenin öneminin irdelenmesi üzerine bir araştırma. Gastroia: Journal of Gastronomy and Travel Research, 7(3), 533-557.

Kumaş, G., Avcıkurt, C., Sarıoğlan, M., Bilgili, B., & Saçkes, E. (2025). The role of product awareness ın creatıng the brand value of local gastronomic ıtems: Example of water buffalo products from balıkesir region. Journal of Tourism & Gastronomy Studies, 13(3), 3295-3318.

Lee, H. J., Lee, S., & Kim, J. (2021). Value–attitude–behaviour relations in the acceptance of 3D printed foods. Appetite, 163, 105232. https://doi.org/10.1016/j.appet.2021.105232

Lemken, D., Janssen, M., & Strijbos, J.-W. (2021). Consumer acceptance of digitally augmented food experiences. Food Quality and Preference, 94, 104329. https://doi.org/10.1016/j.foodqual.2021.104329

Li, D., Cheng, T., & Chen, F. (2022). Joint routing and scheduling of drones and couriers for last-mile delivery. Transportation Research Part E: Logistics and Transportation Review, 160, 102686. https://doi.org/10.1016/j.tre.2021.102686

Li, D., Cheng, T., & Chen, F. (2022). Joint routing and scheduling of drones and couriers for last-mile delivery. Transportation Research Part E: Logistics and Transportation Review, 160, 102686. https://doi.org/10.1016/j.tre.2021.102686

Liu, Y., Chen, Z., Wang, J., & He, X. (2024). Sustainable plant-based protein innovations and circular valorisation strategies.

Food Chemistry Advances, 5, 100322.

https://doi.org/10.1016/j.focha.2024.100322

Liu, Y., Zhao, X., & Su, H. (2024). Human–robot interaction challenges in autonomous food delivery robots. Engineering, 4, 143–159. https://doi.org/10.3390/eng4010143

Liu, Z., & Ciftci, O. (2021). Rheological requirements for extrusion-based 3D food printing. Food Engineering Reviews, 12(3), 202–218. https://doi.org/10.1007/s12393-020-09238-2

Lou, Y., Chen, X., & Li, Z. (2021). Augmented reality for enhancing consumers’ willingness to try novel foods: The role of mental simulation. Journal of Retailing and Consumer Services, 61, 102556. https://doi.org/10.1016/j.jretconser.2021.102556

Lu, X., Wang, Q., & Xu, J. (2022). Effects of augmented reality–based menu visualizations on consumer decision-making and uncertainty reduction. Journal of Business Research, 139, 1049–1063. https://doi.org/10.1016/j.jbusres.2021.10.025

Lu, X., Wang, Q., & Xu, J. (2024). Drivers and impacts of AR immersion in digital food ordering. Journal of Business Research, 161, 113880. https://doi.org/10.1016/j.jbusres.2023.113880

Lupton, D. (2018). Food of the future? Consumer imaginaries around 3D printed meat and insect-based foods. Food, Culture & Society, 21(3), 296–314. https://doi.org/10.1080/15528014.2018.1426132

Lupton, D. ve Turner, B. (2018). Food of the future? Consumer responses to the idea of 3D-printed meat and insect-based foods. Food and Foodways, 26(4), 269–289. https://doi.org/10.1080/07409710.2018.1531213

Lupton, D., & Turner, B. (2018a). Preparing and consuming the 3D printed meal: Sociocultural perspectives. Journal of Sociology, 54(1), 145–161.

Lupton, D., & Turner, B. (2018b). ‘I can’t get past the fact that it is printed’: Consumer responses to 3D printed food. Appetite, 120, 45–58. https://doi.org/10.1016/j.appet.2017.08.020

Mantihal, S., Prakash, S., Godoi, F. C., & Bhandari, B. R. (2020). 3D food printing of egg white protein: Effect of pH and additives on rheology and printability. Food Hydrocolloids, 98, 105–120. https://doi.org/10.1016/j.foodhyd.2019.105276

Mantos, S., Catalina, L., & Singh, R. (2024). Techno-functional performance of plant proteins in novel foods. Food Structure, 35, 100350.

Mao, H., Li, F., & Wang, Z. (2025). Optimization of drone routing for food delivery under uncertain conditions. European Journal of Operational Research, 307(1), 122–138. https://doi.org/10.1016/j.ejor.2024.09.010

Martins, O. M. D., Bucea-Manea-Țoniș, R., Bašić, J., Coelho, A. S. ve Simion, V.-E. (2022). Sensory perception nudge: Insect-based food consumer behavior. Sustainability, 14(18), 11541. https://doi.org/10.3390/su141811541

Martins, O. M. D., Bucea-Manea-Țoniș, R., Coelho, A. S., & Simion, V.-E. (2022). Sensory perception nudge: Insect-based food consumer behavior. Sustainability, 14(18), 11541. https://doi.org/10.3390/su141811541

Masterson, T., Klippel, A., Rosa, N., & Kok, E. (2023). Augmented reality immersion in food-ordering apps: Drivers and behavioural impacts. Journal of Retailing and Consumer Services, 72, 103299. https://doi.org/10.1016/j.jretconser.2023.103299

Masterson, T., Klippel, A., Rosa, N., & Kok, E. (2024). Personalized augmented-reality food ordering: Effects on immersion and choice confidence. Journal of Retailing and Consumer Services, 73, 103300. https://doi.org/10.1016/j.jretconser.2023.103300

Matos, M. E., Lopes, C., Silva, A. S., & Ferreira, M. S. (2024). Techno-functional applications of plant protein ingredients in modern food systems.

Journal of Food Engineering, 355, 111628.

https://doi.org/10.1016/j.jfoodeng.2024.111628

Meegahapola, J., Liem, D. G., & Okutan, H. (2023). Effects of augmented reality visualizations on eating experience. Appetite, 181, 106719. https://doi.org/10.1016/j.appet.2022.106719

Mellos, K., & Castelfranchi, C. (2022). Understanding AR-induced emotional immersion in gastronomy. Multimodal Technologies and Interaction, 6(3), 97. https://doi.org/10.3390/mti6030097

Mellos, K., et al. (2022). Immersive AR dining and consumer sensory perception. Food Quality and Preference, 99, 104561. https://doi.org/10.1016/j.foodqual.2022.104561

Mishyna, M., Chen, J., & Li, T. (2024). Advances in plant-based protein ingredients: Developments, sensory considerations and consumer acceptance.

Food Hydrocolloids, 151, 108483.

https://doi.org/10.1016/j.foodhyd.2024.108483

Mishyna, M., Chen, J., & Wang, Q. (2024). Consumer acceptance of plant-based alternatives: Roles of naturalness, sustainability, and nutrition. Food Research International, 173, 113275. https://doi.org/10.1016/j.foodres.2023.113275

Motoki, K., Park, J., Spence, C. ve Velasco, C. (2022). Contextual acceptance of novel and unfamiliar foods: Insects, cultured meat, plant-based meat alternatives, and 3D-printed foods. Food Quality and Preference, 96, 104368. https://doi.org/10.1016/j.foodqual.2021.104368

Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches (7th ed.). Pearson Education Limited.

Nguyen, T. T. H., Nguyen, N., Nguyen, T. B. L., Phan, T. T. H., Bui, L. P., & Moon, H. C. (2019). Investigating consumer attitude and intention towards online food purchasing in an emerging economy: An extended TAM approach. Foods, 8(11), 576. https://doi.org/10.3390/foods8110576

Niu, Y., Zhang, H., & Liu, L. (2023). Tourism dining experiences enhanced through augmented reality storytelling. Tourism Management, 98, 104737. https://doi.org/10.1016/j.tourman.2023.104737

Oğurlu, Y., Avcıkurt, C., Sarıoğlan, M., Karagöz, E., & Kumaş, G. (2025). Occupational Health and Safety (OHS) Perception in Restaurant Enterprises: a Quantitative Field Survey of Employees. France: Livre de Lyon.

Onwezen, M. C., Bouwman, E. P., Reinders, M. J. ve Dagevos, H. (2021). A systematic review on consumer acceptance of alternative proteins: Pulses, algae, insects, plant-based meat alternatives, and cultured meat. Appetite, 159, 105058. https://doi.org/10.1016/j.appet.2020.105058

Onwezen, M. C., Reinders, M. J., & Verain, M. C. D. (2021). Acceptance of food innovations: The role of consumer values. Food Quality and Preference, 93, 104269. https://doi.org/10.1016/j.foodqual.2021.104269

Pei, Y., Shen, Q., Li, Y., Guo, X., & Yang, J. (2024). 3D printing of meat analogues: Techniques, product characteristics and future trends. Food Research International, 174, 113537. https://doi.org/10.1016/j.foodres.2023.113537

Pillai, S. G., Kim, W. G., Haldorai, K., & Kim, H.-S. (2022). Online food delivery services and consumers’ purchase intention: Integration of theory of planned behavior, theory of perceived risk, and the elaboration likelihood model. International Journal of Hospitality Management, 105, 103275. https://doi.org/10.1016/j.ijhm.2022.103275

Poikonen, S., Golden, B., & Wasil, E. (2022). Autonomous drone delivery routing models. Transportation Science, 56(2), 245–260. https://doi.org/10.1287/trsc.2021.1071

Pothast, R., Farr, A., & Siegrist, M. (2021). Mindful eating and AR guidance systems. Foods, 10(89), 1–14. https://doi.org/10.3390/foods10010089

Proi, M., Coderoni, S., & Perito, M. A. (2025). Italian consumers and cultured meat: Risk, preferences, and politics. Sustainable Futures, 10, 101326. https://doi.org/10.1016/j.sftr.2025.101326

Rehman, S. U., Bhatti, A., Mohamed, R., & Ayoup, H. (2019). The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan. Journal of Global Entrepreneurship Research, 9(43). https://doi.org/10.1186/s40497-019-0166-2

Rosa, N., Masterson, T., Kok, E., & Klippel, A. (2023). User experience challenges in AR-based portion estimation tools. Sensors, 23(5), 2224. https://doi.org/10.3390/s23052224

Rosillo-Díaz, E., Blanco-Encomienda, F. J., & Crespo-Almendros, E. (2020). A cross-cultural analysis of perceived product quality, perceived risk and purchase intention in e-commerce platforms. Journal of Enterprise Information Management, 33(1), 139–160. https://doi.org/10.1108/JEIM-06-2019-0150

Santiago, I., Hernández, M., Castaño, F., & García, J. (2024). Multi-robot systems for food handling and processing: A systematic review. Progress in Sustainable Technologies. https://doi.org/10.20944/preprints202402.1480.v1

Sarıoğlan, M., Avcıkurt, C., & Kumaş, G. (2025a). A Study on The Perception of Hyperlocal Supplying: The Case of Restaurant Consumers. France: Livre de Lyon.

Sarıoğlan, M., Kumaş, G. & Serez Yılmaz, S. (2025b). A Research on The Phenomenon of Reflexive Consumption in Food and Beverage Establishments. France: Livre de Lyon

Sezer, S., & İlban, M. O. (2024). Digital Transformation in Tourism: Opportunities and Challenges for Türkiye and Mediterranean Countries. Turizm ve İşletmecilik Dergisi, 5(1), 62-83. https://doi.org/10.29329/jtm.2025.1107.5

Shankar, V., Xu, L., & Chen, Z. (2023). Augmented reality–enhanced dining environments: Impacts on mood, attention, and hedonic evaluation. Food Quality and Preference, 102, 104739. https://doi.org/10.1016/j.foodqual.2022.104739

Sharma, P., Singh, A., & Kaur, J. (2024). Processing strategies to enhance functionality of plant proteins for food applications.

Trends in Food Science & Technology, 144, 105234.

https://doi.org/10.1016/j.tifs.2024.105234

Shukla, P., Dwivedi, Y. K., & Rana, N. P. (2023). Adoption of drone-based food delivery services: The role of environmental and technological values. Journal of Retailing and Consumer Services, 70, 103–120. https://doi.org/10.1016/j.jretconser.2022.103205

Sim, S. Y., Lee, J. H., & Kim, M. J. (2021). Sensory drivers of consumer acceptance for plant-based meat analogues: A review. Food Research International, 147, 110449. https://doi.org/10.1016/j.foodres.2021.110449

Sleboda, J., & Lagerkvist, C. J. (2022). Contextual framing effects in acceptance of novel foods: A discrete choice experiment on cultured meat and insect-based products. Appetite, 172, 105996. https://doi.org/10.1016/j.appet.2022.105996

Sportelli, M., La Rosa, D., Crivello, A., Pineda-Medina, D., Bacco, M., & Barsocchi, P. (2025). Beyond prototypes: What is missing to fill the gaps in IoT-enabled hydroponics platforms. Horticulturae, 11, 1322. https://doi.org/10.3390/horticulturae11111322

Talal, M. L., Santelmann, M. V., & Tilt, J. H. (2021). Urban park visitor preferences for vegetation: An on-site qualitative research study. Plants, People, Planet, 3, 1–14. https://doi.org/10.1002/ppp3.10188

Tavakoli, R., Wijesinghe, S., & Nussli, M. (2022). Immersive AR dining interfaces in hospitality contexts.

Sensors, 22(8333), 1–17. https://doi.org/10.3390/s22178333

Tesikova, K., et al. (2022). Consumer acceptance of 3D printed foods in the Czech Republic. Foods, 11(2), 809. https://doi.org/10.3390/foods11060809

Tuorila, H. ve Hartmann, C. (2020). Consumer responses to novel and unfamiliar foods. Current Opinion in Food Science, 33, 1–8. https://doi.org/10.1016/j.cofs.2020.01.003

Uribe-Wandurraga, Z., et al. (2020). Microalgae-enriched 3D-printed snacks: Physicochemical and sensory performance. Journal of Food Engineering, 279, 109949. https://doi.org/10.1016/j.jfoodeng.2020.109949

Van der Meulen, A., Kok, E., & Klippel, A. (2023). A Replica: User-Centered Design of an Augmented Reality Portion Size Estimation Tool for Dietary Intake Assessment. PLOS ONE, 18(12), e0295265. https://doi.org/10.1371/journal.pone.0295265

van der Meulen, A., Kok, E., & Klippel, A. (2023). AReplica: User-centered design of an augmented reality portion-size estimation tool for dietary assessment. PLOS ONE, 18(12), e0295265. https://doi.org/10.1371/journal.pone.0295265

Wadud, A., Jiajin, Y., & Li, Z. (2022). Sensory modulation using augmented-reality–based visual cues during eating. Food Research International, 160, 111703. https://doi.org/10.1016/j.foodres.2022.111703

Wang, C., Chen, F., Yi, F., & Wei, Y. (2021). Critical conditions identification for online purchase intention of fruits: A fuzzy-set qualitative comparative analysis. Frontiers in Psychology, 12, Article 713295. https://doi.org/10.3389/fpsyg.2021.713295

Xu, L., Shankar, V., & Chen, Z. (2023). Augmented reality in food-ordering apps: Drivers and impacts of immersion. Journal of Retailing and Consumer Services, 70, 103152. https://doi.org/10.1016/j.jretconser.2022.103152

Yazdanpanah, M., & Forouzani, M. (2015). Application of the Theory of Planned Behaviour to predict Iranian students’ intention to purchase organic food. Journal of Cleaner Production, 107, 342–352. https://doi.org/10.1016/j.jclepro.2015.02.071

Yoon, J., Lim, H., & Kim, S. (2023). Consumer perceptions of drone-delivered food: Innovation, risk, and trust. Journal of Consumer Behaviour, 22(1), 45–60. https://doi.org/10.1002/cb.2043

Yuen, K. F., Wang, X., Ng, L. T. W., & Wong, Y. D. (2022). Analyzing consumer acceptance of autonomous delivery drones for food services. Transportation Research Part E: Logistics and Transportation Review, 160, 102658. https://doi.org/10.1016/j.tre.2022.102658

Zhang, L., Zhang, M., & Mujumdar, A. (2021). Development of flavor during drying and applications of edible mushrooms: A review. Drying Technology, 39(1), 1–19. https://doi.org/10.1080/07373937.2021.1875231

Zhu, S., Stieger, M., van der Goot, A. J., & Schutyser, M. A. I. (2019). 3D printing of plant-based foods: Functionality and future opportunities. Trends in Food Science & Technology, 88, 41–54. https://doi.org/10.1016/j.tifs.2019.03.016

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Yayınlanan

12 Mart 2026

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Lisans

Bu İnternet Sitesi içeriğinde yer alan tüm eserler (yazı, resim, görüntü, fotoğraf, video, müzik vb.) Akademisyen Kitabevine ait olup, 5846 sayılı Fikir ve Sanat Eserleri Kanunu ve 5237 sayılı Türk Ceca Kanunu kapsamında korunmaktadır. Bu hakları ihlal eden kişiler, 5846 sayılı Fikir ve Sanat eserleri Kanunu ve 5237 sayılı Türk Ceza Kanununda yer alan hukuki ve cezai yaptırımlara tabi olurlar. Yayınevi ilgili yasal yollara başvurma hakkına sahiptir.

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978-625-375-960-5

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2026

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