[
Ahmad, M., Alhalaiqa, F., & Subih, M. (2023). Constructing and testing the psychometrics of an instrument to measure the attitudes, benefits, and threats associated with the use of Artificial Intelligence tools in higher education. Journal of Applied Learning & Teaching, 6(2), 114-120
]Search in Google Scholar
[
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall
]Search in Google Scholar
[
Aksu, S., & Sener, B. C. (2024). Factors Affecting Consumers’ Online Purchasing Attitudes Towards Ads Guided by Artificial Intelligence, Imgelem, 14, 373-400. https://doi.org/10.53791/imgelem.1482365
]Search in Google Scholar
[
Autor, D. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30. https://doi.org/10.1257/jep.29.3.3
]Search in Google Scholar
[
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.
]Search in Google Scholar
[
Basha, M. (2023). Impact of artificial intelligence on marketing. East Asian Journal of Multidisciplinary Research (EAJMR), 2(3), 993-1004. https://doi.org/10.55927/eajmr.v2i3
]Search in Google Scholar
[
Bastani, H., Bastani, O., & Park Sinchaisri, W. (2021). Improving human sequential decision-making with reinforcement learning. arXiv. https://doi.org/10.48550/arXiv.2108.08454
]Search in Google Scholar
[
Bergdahl, J., Latikka, R., Celuch, M., Savolainen, I., Soares Mantere, E., Savela, N., & Oksanen, A. (2023). Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics, 82. https://doi.org/10.1016/j.tele.2023.102013
]Search in Google Scholar
[
Bharadiya, J. (2023). Artificial intelligence in transportation systems: a critical review. American Journal of Computing and Engineering, 6(1), 34-45. https://doi.org/10.47672/ajce.1487
]Search in Google Scholar
[
Brakus, J. J., Schmitt, B. H., & Zarantonello, L. (2009). Brand experience: What is it? How is it measured? Does it affect loyalty? Journal of Marketing, 73(3), 52-68. https://doi.org/10.1509/jmkg.73.3.052
]Search in Google Scholar
[
Brodie, R. J., Hollebeek, I. D., Juric, B., & Llic, A. (2011). Customer engagement conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14(3), 1-20. https://doi.org/10.1177/1094670511411703
]Search in Google Scholar
[
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company
]Search in Google Scholar
[
Bughin, J., Catlin, T., Hirt, M., & Willmott, P. (2018). Why digital strategies fail. McKinsey Quarterly, 1, 61–75
]Search in Google Scholar
[
Buolamwini, J., & Gebru, T. (2018). Gender shades: intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 1-15. In Conference on fairness, accountability and transparency (pp. 77-91)
]Search in Google Scholar
[
Buttle, F. (2010). Customer Relationship Management; Concepts and Technologies. Butterworth-Heinemann
]Search in Google Scholar
[
Cacioppo, J. T., Tassinary, L. G., & Berntson, G. G. (Eds.). (2007). Handbook of psychophysiology (3rd ed.). Cambridge University Press
]Search in Google Scholar
[
Calo, R. (2015). Robotics and the Lessons of Cyberlaw. California Law Review, 103(3), 513-563
]Search in Google Scholar
[
Cao, L. (2022). AI in finance: challenges, techniques, and opportunities. ACM Computing Surveys, 55(3), 1-38. https://doi.org/10.1145/3502289
]Search in Google Scholar
[
Cavallo, J. (2019, September 10). Confronting the criticisms facing Watson for Oncology: A conversation with Nathan Levitan, MD, MBA. https://ascopost.com/issues/september-10-2019/confronting-the-criticisms-facing-watson-for-oncology/
]Search in Google Scholar
[
Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65-81. https://doi.org/10.1509/jmkg.64.4.65.18071
]Search in Google Scholar
[
Chen, Y., Chen, J., Wang, C., & Zhang, C. (2019). Application of artificial intelligence in forest resource management: a review. Forests, 9(4), 163
]Search in Google Scholar
[
Chen, H., Chan-Olmsted, S., Kim, J., & Mayor Sanabria, I. (2022). Consumers’ perception on artificial intelligence applications in marketing communication. Qualitative Market Research: An International Journal, 25(1), 125-142. https://doi.org/10.1108/QMR-03-2021-0040
]Search in Google Scholar
[
Chi, N. T. K., & Vu, N. H. (2022). Investigating the customer trust in artificial intelligence: The role of anthropomorphism, empathy response, and interaction. CAAI transactions on Intelligence Technology (pp. 260-273). The Institution of Engineering and Technology, Wiley. https://doi.org/10.1049/cit2.12133
]Search in Google Scholar
[
Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: compliance and conformity. Annual Review of Psychology, 55, 591-621. https://doi.org/10.1146/annurev.psych.55.090902.142015
]Search in Google Scholar
[
Crawford, K., & Calo, R. (2016). There is a Blind Spot in AI Research. Nature, 538, 311-313
]Search in Google Scholar
[
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340
]Search in Google Scholar
[
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich
]Search in Google Scholar
[
European Commission. (2020). White paper on artificial intelligence: A European approach to excellence and trust. Brussels, Belgium
]Search in Google Scholar
[
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behaviour: An introduction to theory and research. Reading. MA: Addison-Wesley
]Search in Google Scholar
[
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chaze-rand, P., Dignum, V., ... & Luetge, C. (2018). AI4People—An ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707. https://doi.org/10.1007/s11023-018-9482-5
]Search in Google Scholar
[
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39-50. https://doi.org/10.2307/3151312
]Search in Google Scholar
[
Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280. https://doi.org/10.1016/j.tech-fore.2016.08.019
]Search in Google Scholar
[
Gao, L., Li, G., Tsai, F., Gao, C., Zhu, M., & Qu, X. (2022). The impact of artificial intelligence stimuli on customer engagement and value co-creation: the moderating role of customer ability readiness. Journal of Research in Interactive Marketing, 17(2), 317-333. https://doi.org/10.1108/JRIM-10-2021-0260
]Search in Google Scholar
[
Gerlich, M. (2023). Perceptions and acceptance of artificial intelligence: A multi-dimensional study. Social Sciences, 12(9), 502. https://doi.org/10.3390/socsci12090502
]Search in Google Scholar
[
Grewal, D., Guha, A., Satornino, C. B., & Schweiger, E. B. (2021). Artificial intelligence: The light and the darkness. Journal of Business Research, 136, 229-236. https://doi.org/10.1016/j.jbusres.2021.07.043
]Search in Google Scholar
[
Hair, J., Risher, J., & Sarstedt, M. (2018). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
]Search in Google Scholar
[
Haleem, A., Javaid, M., Qadri, M. A., Singh, R. P., & Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3, 119-132. https://doi.org/10.1016/j.ijin.2022.08.005
]Search in Google Scholar
[
Hasan, R., Shams, R., & Rahman, M. (2021). Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri. Journal of Business Research, 131, 591-597. https://doi.org/10.1016/j.jbusres.2020.12.012
]Search in Google Scholar
[
Heer, J. (2019). Agency plus automation: designing AI into interactive systems. Proceedings of the National Academy of Sciences, 16(6), 1844-1850. https://doi.org/10.1073/pnas.1807184115
]Search in Google Scholar
[
Henseler, J., Ringle, C, M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s1747-014-0403-8
]Search in Google Scholar
[
Hicham, N., Nassera, H. & Karim, S. (2023). Strategic framework for leveraging artificial intelligence in future marketing decision-making. Journal of Intelligent Management Decision, 2, 139-150. https://doi.org/10.56578/jimd020304
]Search in Google Scholar
[
Hinks, T. (2020). Fear of robots and life satisfaction. International Journal of Social Robotics, 13, 327-340. https://doi.org/10.1007/s12369-020-00640-1
]Search in Google Scholar
[
Huang, L., & Rust, R. T. (2018). Artificial intelligence in service: from expert systems to deep learning. Journal of Service Research, 21(2), 155-172. https://doi.org/10.1177/1094670517752459
]Search in Google Scholar
[
Huang, R., Tlili, A., Xu, L., Ying, C., Zheng, L., Metwally, A. H. S., Ting, D., Chang, T., Wang, H., & Mason, J. (2023). Educational futures of intelligent synergies between humans, digital twins, avatars and robots-the iSTAR framework. Journal of Applied Learning & Teaching, 6(2), 1-16. https://doi.org/10.37074/jalt.2023.6.2.33
]Search in Google Scholar
[
Ikkatai, Y., Hartwig, T., Takanashi, N., & Yokoyama, H. M. (2022). Octagon measurement: public attitudes toward AI ethics. International Journal of Human–Computer Interaction, 38(17), 1589–1606. https://doi.org/10.1080/10447318.2021.2009669
]Search in Google Scholar
[
Jacoby, J. (2002). Stimulus-organism-response reconsidered: an evolutionary step in modelling (consumer) behaviour. Journal of Consumer Psychology, 12(1), 51-57. https://doi.org/10.1207/S15327663JCP1201_05
]Search in Google Scholar
[
Jenkins, M. (2021). How AI is improving customer experience. Forbes https://www.forbes.com/sites/mikejenkins/2021/06/28/how-ai-is-improving-customer-experience/?sh=54cf9b57669c
]Search in Google Scholar
[
Jones, C. (2018). The ethics of artificial intelligence. In M. Anderson & S. L. Anderson (Eds.), Machine ethics (pp. 137-160). Cambridge University Press. https://doi.org/10.1017/CBO9780511978036
]Search in Google Scholar
[
Kadambi, R., Kakade, S., & Tandon, A. (2018). Amazon recommendations: item-to-item collaborative filtering. Amazon.com, Inc.
]Search in Google Scholar
[
Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15-25. https://doi.org/10.1016/j.bushor.2018.08.004
]Search in Google Scholar
[
Kieslich, K., Luenich, M., & Marcinkowski, F. (2021). The Threats of Artificial Intelligence Scale (TAI). International Journal of Social Robotics, 13, 1563-1577. https://doi.org/10.1007/s12369-020-00734-w
]Search in Google Scholar
[
Kirova, M., & Boneva, M. (2024). Artificial intelligence: challenges and benefits for business, 14th International Scientific Conference “Business and Management 2024” (pp. 253-260). Vilnius Tech. https://doi.org/10.3846/bm.2024.1277
]Search in Google Scholar
[
Kline, R. B. (2015). Principles and practice of structural equation modelling. Guilford Publications.
]Search in Google Scholar
[
Kohtamaki, M., Vesalainen, J., Henneberg, S., Naude, P., & Ventresca, M. J. (2012). Enabling relationship structures and relationship performance improvement: The moderating role of relational capital. Industrial Marketing Management, 41(8), 1298-1309. https://doi.org/10.1016/j.indmarman.2012.08.001
]Search in Google Scholar
[
Komiak, S. Y., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941-960
]Search in Google Scholar
[
Koo, D. M., Ju, S. H. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behaviour, 26(3), 377-388. https://doi.org/10.1016/j.chb.2009.11.009
]Search in Google Scholar
[
Laaksonen, T., Pajunen, K., & Kulmala, H.I. (2008). Co-evolution of trust and dependence in customer-supplier relationships. Industrial Marketing Management, 37(8), 910-920. https://doi.org/10.1016/j.indmarman.2007.06.007
]Search in Google Scholar
[
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96. https://doi.org/10.1509/jm.15.0420
]Search in Google Scholar
[
Liang, Y., & Lee, S. A. (2017). Fear of autonomous robots and artificial intelligence: evidence from national representative data with probability sampling. International Journal of Social Robotics, 9, 379-384. https://doi.org/10.1007/s12369-017-0401-3
]Search in Google Scholar
[
Liu, M. T., Brock, J. L., Shi, G. C., Chu, R., & Tseng, TH. (2012). Perceived benefits, perceived risk, and trust. Asia pacific Journal of Marketing and Logistics, 25(2), 225-248. https://doi.org/10.1108/13555851311314031
]Search in Google Scholar
[
Lobera, J., Fernandez Rodriguez, C. J., & Torres-Albero, C. (2020). Privacy, values and machines: Predicting opposition to artificial intelligence. Communication Studies, 71(3), 448-465. https://doi.org/10.1080/10510974.2020.1736114
]Search in Google Scholar
[
Lockey, S., Gillespie, N., Holm, D., & Someh, I. A. (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Proceedings of the 54th Hawaii International Conference on System Sciences (pp. 5463-5472). Hicss
]Search in Google Scholar
[
Lu, C. C. A., Yeh, C. C. R., & Lai, C. C. S. (2025). The role of intelligence, trust and interpersonal job characteristics in employees’ AI usage acceptance. International Journal of Hospitality Management, 126, 104032. https://doi.org/10.1016/j.ijhm.2024.104032
]Search in Google Scholar
[
Luhmann, N. (1988). Familiarity, confidence, trust: problems and alternatives. In D. Gambetta (Ed.): Trust: Making and breaking cooperative relations (pp. 94-107). Blackwell
]Search in Google Scholar
[
MacKenzie, S. B. & Podsakoff, P. M. (2012). Common method bias in marketing: causes, mechanisms, and procedural remedies. Journal of Retailing, 88, 542-555. http://dx.doi.org/10.10167j.jretai.2012.08.001
]Search in Google Scholar
[
Mariani, M. M., Machado, I., & Nambisan, S. (2023). Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda. Journal of Business Research, 155, 1-14. https://doi.org/10.1016/j.jbusres.2022.113364
]Search in Google Scholar
[
Mendez-Suarez, M., Delbello, L., de Vega de Unceta, A., & Ortega Larrea, A. L. (2024). Factors Affecting Consumers’ Attitudes Towards Artificial Intelligence. Journal of Promotion Management, 30(7), 1141-1158. https://doi.org/10.1080/10496491.2024.2367203
]Search in Google Scholar
[
Martinez-Lopez, F. J. & Casillas, J. (2013). Artificial intelligence-based systems applied in industrial marketing: an historical overview, current and future insights. Industrial Marketing Management, 42(4), 489-495. https://doi.org/10.1016/j.indmarman.2023.03.001
]Search in Google Scholar
[
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734. https://doi.org/10.5465/amr.1995.9508080335
]Search in Google Scholar
[
McClure, P. K. (2018). “You are fired”, says the robot. Social Science Computer Review, 36. 139-156. https://doi.org/10.1177/0894439317698637
]Search in Google Scholar
[
Mirbabaie, M., Bruenker, F., Moellmann (Frick), N. R. J., & Stieglitz, S. (2022). The rise of artificial intelligence – understanding the AI identity threat at the workplace. Electronic Markets, 32, 73-99. https://doi.org/10.1007/s12525-021.00496-x
]Search in Google Scholar
[
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
]Search in Google Scholar
[
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. The Journal of Marketing, 58(3), 20-38. https://doi.org/10.1177/002224299405800302
]Search in Google Scholar
[
Neuhofer, B., Buhalis, D., & Ladkin, A. (2015). Smart technologies for personalized experiences: a case study in the hospitality domain. Electronic Markets, 25(3), 243-254. https://doi.org/10.1007/s12525-015-0182-1
]Search in Google Scholar
[
O’Neil, C. (2016). Weapons of math destruction: how big data increases inequality and threatens democracy. Crown Publishing Group
]Search in Google Scholar
[
Ozudogru, G. & Cakir, H. (2021). Investigation of pre-service teachers’ opinions about using non-linear digital storytelling method. Kastamonu Education Journal, 29(2), 452-459. https://doi.org/10.24106/kefdergi.744216
]Search in Google Scholar
[
Pelau, C., Dabija, D. C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behaviour, 122, 106855. https://doi.org/10.1016/j.chb.2021.106855
]Search in Google Scholar
[
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology, 19, 123-205. Academic Press
]Search in Google Scholar
[
Puntoni, S., Walker Reczek, R., Giesler, M., & Botti, S. (2021). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 85(1), 131-151. https://doi.org/10.1177/0022242920953847
]Search in Google Scholar
[
Riegelsberger, J., Sasse, M. A., & McCarthy, J. D. (2003). Shiny happy people trust? Photos on e-commerce web-sites and consumer trust. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 121-128). https://doi.org/10.1145/642611.642634
]Search in Google Scholar
[
Roy, S. K., Singh, G., & Hope, M. (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. https://doi.org/10.1080/0267257X.2019.1680569
]Search in Google Scholar
[
Russell, S. J. & Norvig, P. (2010). Artificial intelligence: a modern approach (3rd ed.). Pearson.
]Search in Google Scholar
[
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: a cross-discipline view of trust. Academy of management review, 23(3), 393-404. https://doi.org/10.5465/amr.1998.926617
]Search in Google Scholar
[
Sartori, L., & Bocca, G. (2023). Minding the gap(s): public perceptions of AI and socio-technical imaginaries. AI & Society, 38(2), 443-458. https://doi.org/10.1007/s00146-022-01422-1
]Search in Google Scholar
[
Scardamalia, M., & Bereiter, C. (2014). Smart technology for self-organizing processes. Smart Learning Environments, 1(1), 1-13. https://doi.org/10.1007/s40561-014-0001-8
]Search in Google Scholar
[
Schepman, A., & Rodway, P. (2020). Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in Human Behaviour, 1, 100014. https://doi.org/10.1016/j.chbr.2020.100014
]Search in Google Scholar
[
Shank, D. B., Graves, C., Gott, A., Gamez, P., & Rodriguez, S. (2019). Feeling our way to machine minds: People’s emotions when perceiving mind in artificial intelligence. Computers in Human Behaviour, 98, 256-266. https://doi.org/10.1016/j.chb.2019.04.001
]Search in Google Scholar
[
Siau, K., & Wang, W. (2018). Building trust in artificial intelligence, machine learning, and robotics. Cutter Business Technology Journal, 31(2), 47-53.
]Search in Google Scholar
[
Sindermann, C., Sha, P., Zhou, M., Wernicke, J., Schmitt, H. S., Li, M., Sariyska, R., Stavrou, M., Becker, B., & Montag, C. (2020). Assessing the attitude towards artificial intelligence: Introduction of a short measure in German, Chinese, and English language. Kuenstliche Intelligenz, 35(1), 109-118. https://doi.org/10.1007/s13218-020-00689-0
]Search in Google Scholar
[
Slovic, P. (1999). Trust, emotion, sex, politics, and science: Surveying the risk-assessment battlefield. Risk Analysis, 19(4), 689–701. https://doi.org/10.1111/j.1539-6924.1999.tb00439.x
]Search in Google Scholar
[
Sivarajah, U., Kamal, M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, 70, 263-286. https://doi.org/10.1016/j.jbusres.2016.08.001
]Search in Google Scholar
[
Stein, J. P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024). Attitudes towards AI: measurement and associations with personality, Scientific Reports, 14: 2909. https://doi.org/10.1038/s41598-024-53335-2
]Search in Google Scholar
[
Tepylo, N., Straubinger, A., & Laliberte, J. (2023). Public perception of advanced aviation technologies: A review and roadmap to acceptance. Progress in Aerospace Sciences, 138, 100899. https://doi.org/10.1016/j.paerosci.2023.100899
]Search in Google Scholar
[
Tomkins, C. (2001). Interdependencies, trust and information in relationships, alliances and networks. Accounting, Organizations and Society, 26(2), 161-191. https://doi.org/10.1016/S0361-3682(00)00018-0
]Search in Google Scholar
[
Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591.018-0300-7
]Search in Google Scholar
[
Tran, T. B. H., & Vu, A. D. (2021). From customer value co-creation behaviour to customer perceived value. Journal of Marketing Management, 37(9/10), 993-1026. https://doi.org/10.1080/0267257X.2021.1908398
]Search in Google Scholar
[
Trawnih, A., Al-Masaeed, S., Alsoud, M., & Alkufahy, M. (2022). Understanding artificial intelligence experience: A customer perspective. International Journal of Data and Network Science, 6, 1471-1484. https://doi.org/10.5267/j.ijdns.2022.5.004
]Search in Google Scholar
[
Tufekci, Z. (2018). YouTube, the Great Radicalizer. The New York Times, 10(9), 18
]Search in Google Scholar
[
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478
]Search in Google Scholar
[
Verma, S., Sharma, R., Deb, S. & Maitra, D. (2021). Artificial intelligence in marketing: systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 1-8. https://doi.org/10.1016/j.jjimei.2020.100002
]Search in Google Scholar
[
Wach, K., Duong, C. D., Ejdys, J., Kazlauskaite, R., Korzynski, P., Mazurek, G., Paliszkiewicz, J., & Ziemba, E. (2023). The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT. Entrepreneurial Business and Economics Review, 11(2), 7-24. https://doi.org/10.15678/EBER.2023.110201
]Search in Google Scholar
[
Wang, Y. Y., & Wang, Y. S. (2019). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behaviour. Interactive Learning Environments, 27(1). https://doi.org/10.1080/10494820.2019.1674887
]Search in Google Scholar
[
Witte, K. (1992). Putting the fear back into fear appeals: the extended parallel process model. Communication Monographs, 59, 329-349. https://doi.org/10.1080/03637759209376276
]Search in Google Scholar
[
Xu, Y., Liu, X., Cao, X., Huang, C., Liu, E., Qian, S., & Zhang, J. (2021). Artificial intelligence: a powerful paradigm for scientific research. The Innovation, 2(4), https://doi.org/10.1016/j.xinn.2021.100179
]Search in Google Scholar
[
Ye, H., Cheng, X., Yuan, M., Xu, L., Gao, J., & Cheng, C. (2016). A survey of security and privacy in big data. Conference Paper (pp. 268-272), Department of Network Optimization and Management, China Unicom Network Technology Research Institute, Beijing, P.R.China. https://doi.org/10.1109/ISCIT.2016.7751634
]Search in Google Scholar
[
Zarifis, A., & Cheng, X. (2022). A model of trust in Fintech and trust in Insurtech: How Artificial Intelligence and the context influence it. Journal of Behavioural and Experimental Finance, 36, 1-7. https://doi.org/10.1016/j.jbef.2022.100739
]Search in Google Scholar
[
Zhang, X., & Chen, R. Q. (2008). Examining the mechanism of the value co-creation with customers. International Journal of Production Economics, 116(2), 242-250. https://doi.org/10.1016/j.ijpe-2008.09.004
]Search in Google Scholar
