Global Research Trends in Marble Deterioration: a Web of Science-Based Bibliometric Analysis

Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445. https://doi.org/10.1007/s12525-020-00414-7

Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, pp. 85, 183–189. https://doi.org/10.1016/j.chb.2018.03.051

Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007

Arsenijevic, U., & Jovic, M. (2019, September 30). Artificial intelligence marketing: Chatbots. In 2019 International Conference on Artificial İntelligence: Applications and Innovations (IC-AIAI) IEEE. Vrdnik Banja, Serbia. https://doi.org/10.1109/IC-AIAI48757.2019.00010

Bhagyalakshmi, R., & Begam, M. G. S. (2023). Exploring The Effects of Conversational Marketing and Artificial Intelligence on Customer Engagement Comprehensive Literature Review. Tuijin Jishu/Journal of Propulsion Technology, 44(4), 4509-4517. https://doi.org/10.52783/tjjpt.v44.i4.1735

Broadus, R. N. (1987). Toward a definition of "bibliometrics". Scientometrics, pp. 12, 373–379. https://doi.org/10.1007/BF02016680

Cheng, Y., & Jiang, H. (2022). Customer–brand relationship in the era of artificial intelligence: understanding the role of chatbot marketing efforts. Journal of Product & Brand Management, 31(2), 252-264. https://doi.org/10.1108/JPBM-05-2020-2907

Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587-595.https://doi.org/10.1016/j.jbusres.2018.10.004

Clarivate (2024). Scientific & Academic Research. Web of Science platform https://clarivate.com/products/scientific-and-academic-research/research-discovery-and-workflow-solutions/webofscience-platform/ (Access Date: March 15, 2024).

Connell, A. (2024). 50 Critical Chatbot Statistics You Need To Know For 2024. https://adamconnell.me/chatbot-statistics/ (Access Date: August 15, 2024).

Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, pp. 205, 219.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, pp. 133, 285–296.

El Bakkouri, B., Raki, S., & Belgnaoui, T. (2022). The role of chatbots in enhancing customer experience: Literature review. Procedia Computer Science, 203, 432-437. https://doi.org/10.1016/j.procs.2022.07.057

Fornell, C. (1981). Increasing the organizational influence of corporate consumer affairs departments. Journal of Consumer Affairs, 15(2), 191–213. https://doi.org/10.1111/j.1745-6606.1981.tb00709.x

Hu, P., Gong, Y., Lu, Y., & Ding, A. W. (2023). Speaking vs. listening? Balance conversation attributes of voice assistants for better voice marketing. International Journal of Research in Marketing, 40(1), 109-127.https://doi.org/10.1016/j.ijresmar.2022.04.006

Ikumoro, A. O., & Jawad, M. S. (2019). Assessing intelligence conversation agent trends-chatbots-ai technology application for personalized marketing. Test Engineering and Management, 81, 4779-4785.

Israfilzade, K. (2021). Conversational marketing as a framework for interaction with the customer: Development & validation of the conversational agent's usage scale. Journal of Life Economics, 8(4), 533-546. https://doi.org/10.15637/jlecon.8.4.12

Israfılzade, K. (2023). Beyond Automation: The Impact of Anthropomorphic Generative AI on Conversational Marketing. In 8th International European Conference On Interdisciplinary Scientific Research 5(2), 757-766

Lin, X., Shao, B., & Wang, X. (2022). Employees' perceptions of chatbots in B2B marketing: Affordances vs. disaffordances. Industrial Marketing Management, 101, 45-56.

Linnenluecke MK, Marrone M, Singh AK (2020). Conducting systematic literature reviews and bibliometric analyses. Aust J Manag 45(2):175–194. https:// doi. org/ 10. 1177/ 03128 96219 877678

Meller, L., Jagadeesh, V., Gali, H., Oca, M., Wilson, K., & Scott, N. (2023). Characterizing core journals in ophthalmology literature using Bradford's Law: a bibliometric analysis. Investigative Ophthalmology & Visual Science, 64(8), 5381-5381.

Mirosavljević, M., & Milovanovic, M. (2022, June 02-05). Conversatıonal Marketıng-New Roles of Consumers. X Internatıonal Conference of Socıal and Technologıcal Development. Trebinje, Serbia

Mogaji, E., Balakrishnan, J., Nwoba, A. C., & Nguyen, N. P. (2021). Emerging-market consumers' interactions with banking chatbots. Telematics and Informatics, p. 65, 101711. https://doi.org/10.1016/j.tele.2021.101711

Moguluwa, S. C. (2022). A Review of Conversational Marketing. Journal of Positive School Psychology, 6(5), 4452-4461.

Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review, El Profesional de La Información, 29(1), 4.1–20. https://doi.org/10.3145/epi.2020.ene.03

Pritchard, A. (1969). Statistical Bibliography or Bibliometrics? Journal of Documentation, pp. 25, 348–349.

Sheehan, B., Jin, H. S., & Gottlieb, U. (2020). Customer service chatbots: Anthropomorphism and adoption. Journal of Business Research, 115,14-24. https://doi.org/10.1016/j.jbusres.2020.04.030

Sendpulse (2024). Conversational Marketing Statistics. (Access Date: August 15, 2024). https://sendpulse.com/support/glossary/conversational-marketing

Sidlauskiene, J., Joye, Y., & Auruskeviciene, V. (2023). AI-based chatbots in conversational commerce and their effects on product and price perceptions. Electronic Markets, 33(1), 24. https://doi.org/10.1007/s12525-023-00633-8

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. https://doi.org/10.2307/30036540