([1])Rahman, M. M. (2024, August). Unraveling Fear, Cultivating Awareness: A Research Proposal for Alleviating AI Concerns and Guiding Ethical Adoption. In 2024 11th International Conference on Behavioural and Social Computing (BESC), pp. 1-6.
([1])Lee, P. Y. K., Ma, N. F., Kim, I. J., & Yoon, D. (2023). Speculating on risks of AI clones to selfhood and relationships: Doppelganger-phobia, identity fragmentation, and living memories. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), pp. 1-28.
([1])Kim, J., Kadkol, S., Solomon, I., Yeh, H., Soh, J. Y., Nguyen, T. M., ... & Ajilore, O. A. (2023). AI anxiety: a comprehensive analysis of psychological factors and interventions. Available online at:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4573394
([1])Oztirak, M. (2023). A study on the impact of artificial intelligence anxiety on the innovation-oriented behaviours of employees. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 10(2), pp. 267-286.
([1])Yi, M., & Choi, H. (2023). What drives the acceptance of AI technology?: the role of expectations and experiences. arXiv preprint arXiv: pp. 2306-13670.
([1])Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021). Attachment and trust in artificial intelligence. Computers in Human Behavior, 115(52), p.106607.
([1])Li, J., & Huang, J. S. (2020). Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory. Technology in Society, 63, p. 101410.
([1])Wang, Y. Y., & Wang, Y. S. (2022). Development and validation of an artificial intelligence anxiety scale: An initial application in predicting motivated learning behavior. Interactive Learning Environments, 30(4), pp. 619-634.
([1])Gherheş, V. (2018). Why are we afraid of artificial intelligence (AI)?. European review of applied sociology, 11(17), pp. 6-15.
([1])Li, X., Liu, Z., Chen, Y., & Ren, A. (2025). Consumer avoidance toward message stream advertising on mobile social media: a stimulus-organism-response perspective. Information Technology & People, 38(1), pp. 23-47.
([1])McKee, K. M., Dahl, A. J., & Peltier, J. W. (2024). Gen Z's personalization paradoxes: A privacy calculus examination of digital personalization and brand behaviors. Journal of Consumer Behaviour, 23(2), pp. 405-422.
([1])Lestari, S., Adawiyah, W. R., Alhamidi, A. L., Prayogi, J., & Haryanto, R. (2024). Navigating perilous seas: unmasking online banking frauds, perceived usefulness, fear of cybercrime and distrust in online banking. Safer Communities, 23(4), pp.444-464.
([1])Vijay, T. S., Prashar, S., & Parsad, C. (2024). Influence of shoppers' attitude and satisfaction with smart-gadgets on intention to provide reviews: moderating role of fear of technological advances. International Journal of Business Information Systems, 45(3), pp.324-342.
([1])Sivathanu, B., Pillai, R., & Metri, B. (2023). Customers' online shopping intention by watching AI-based deepfake advertisements. International Journal of Retail & Distribution Management, 51(1), pp.124-145.
([1])Faqih, K. M. (2022). Internet shopping in the Covid-19 era: Investigating the role of perceived risk, anxiety, gender, culture, and trust in the consumers’ purchasing behavior from a developing country context. Technology in Society, 70, p.101992.
([1])Khan, A., Rezaei, S., & Valaei, N. (2022). Social commerce advertising avoidance and shopping cart abandonment: A fs/QCA analysis of German consumers. Journal of Retailing and Consumer Services, 67, p.102976.
([1])Daroch, B., Nagrath, G., & Gupta, A. (2021). A study on factors limiting online shopping behaviour of consumers. Rajagiri Management Journal, 15(1), pp.39-52.
([1])Muller, A., Steins-Loeber, S., Trotzke, P., Vogel, B., Georgiadou, E., & De Zwaan, M. (2019). Online shopping in treatment-seeking patients with buying-shopping disorder. Comprehensive Psychiatry, 94, p.152120.
([1])Hegner, S. M., Fetscherin, M., & Van Delzen, M. (2017). Determinants and outcomes of brand hate. Journal of Product & Brand Management, 26(1), pp.13-25.
([1])Ratajczyk, M. (2016). Exploration of Consumer’s Buying Behaviour Connected with Avoiding Purchases. In Managing Innovation and Diversity in Knowledge Society Through Turbulent Time: Proceedings of the MakeLearn and TIIM Joint International Conference 2016, pp. 305-312.
([1])Ertel, W. (2024).
Introduction to artificial intelligence. Springer Nature. 3 edition, pp.1-362. Available online at:
https://surl.li/sruutd
([1])Wang, P. (2019). On defining artificial intelligence. Journal of Artificial General Intelligence, 10(2), pp. 1-37.
([1])Shchitova, A. A. (2020, December). Definition of artificial intelligence for legal regulation. In 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020), pp. 616-620.
([1])Ibrahim, K., & Faycal, S. (2024, December). A Novel Approach for Phobia Analysis Using EEG and ECG Physiological Signals and Artificial Intelligence (AI). In 2024 8th International Symposium on Innovative Approaches in Smart Technologies (ISAS), pp. 1-4.
([1])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), p.100002.
([1])Surur, F. M., Mamo, A. A., Gebresilassie, B. G., Mekonen, K. A., Golda, A., Behera, R. K., & Kumar, K. (2025). Unlocking the power of machine learning in big data: a scoping survey.
Data Science and Management. Available online at:
https://www.sciencedirect.com/science/article/pii/S2666764925000104
([1])Cohen, S. (2025).The evolution of machine learning: Past, present, and future. In Artificial Intelligence in Pathology, pp. 3-14.
([1])Chikldu, S., & Annamalai, S. (2025). Fundamentals of AI and NLP in Environmental Analysis. Environmental Monitoring Using Artificial Intelligence, pp.29-44.
([1])McNicholas, B. A., Madden, M. G., & Laffey, J. G. (2025). Natural language processing in critical care: opportunities, challenges, and future directions. Intensive Care Medicine, pp.1-5.
([1])Singh, R., Kim, J. Y., Glassy, E. F., Dash, R. C., Brodsky, V., Seheult, J., ... & Pritt, B. S. (2025). Introduction to Generative Artificial Intelligence: Contextualizing the Future. Archives of pathology & laboratory medicine, 149(2), pp.112-122.
([1])Sumi, M. (2025). Simulation of artificial intelligence robots in dance action recognition and interaction process based on machine vision. Entertainment Computing, 52, p.100773.
([1])Ling, E. C., Tussyadiah, I., Liu, A., & Stienmetz, J. (2025). Perceived intelligence of artificially intelligent assistants for travel: Scale development and validation. Journal of travel research, 64(2), pp. 299-321.
([1])Almeida, F. (2025). Implementation of a chatbot in a unified communication channel. Journal of Systems and Information Technology, 27(1), pp. 94-115.
([1])Gao, B., Wang, Y., Xie, H., Hu, Y., & Hu, Y. (2023). Artificial intelligence in advertising: advancements, challenges, and ethical considerations in targeting, personalization, content creation, and ad optimization.
Sage Open,
13(4), Available online at:
https://journals.sagepub.com/doi/full/10.1177/21582440231210759 .
([1])Gandal, N. (2001). The dynamics of competition in the internet search engine market. International journal of industrial organization, 19(7), pp.1103-1117.
([1])Zhang, Q., & Xiong, Y. (2024). Harnessing AI potential in E-Commerce: improving user engagement and sales through deep learning-based product recommendations. Current Psychology, 43(38), pp. 30379-30401.
([1])Ahmad, A. J., & Ashfi, S. A. Augmented Reality in Marketing: Enhancing Customer Engagement and Brand Experience 1(3). Available online at:
https://jritm.org/Upload/AR.pdf
([1])Alhitmi, H. K., Mardiah, A., Al-Sulaiti, K. I., & Abbas, J. (2024). Data security and privacy concerns of AI-driven marketing in the context of economics and business field: an exploration into possible solutions. Cogent Business & Management, 11(1), p. 2393743.
([1]) Vashishth, T. K., Sharma, K. K., Kumar, B., Chaudhary, S., & Panwar, R. (2025). Enhancing customer experience through AI-enabled content personalization in e-commerce marketing. Advances in digital marketing in the era of artificial intelligence, pp. 7-32.
([1])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, pp.119-132.
([1])Mogaji, E., & Jain, V. (2024). How generative AI is (will) change consumer behaviour: Postulating the potential impact and implications for research, practice, and policy. Journal of consumer behaviour, 23(5), pp. 2379-2389.
([1])Kshetri, N., Dwivedi, Y. K., Davenport, T. H., & Panteli, N. (2024). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management, 75, p.102716.
([1])De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K. U., & Von Wangenheim, F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51(1), pp. 91-105.
-Darwish, S. (2022). alaistiedad albiyiyu ladaa tulaab jamieat eayn shams: dirasat aleawamil almuathirat biaistikhdam nazariat alsuluk almukhatita. almajalat aleilmiat lilaiqtisad waltijarati, 52 (3).
([1])Conner, M. (2020). Theory of planned behavior. Handbook of sport psychology, pp.1-18.
-Bashqa, A. (2015). tahlil naqdiun lilsifat altanabuwiyat walsababiat waqabiliat aldahd linazariatay alealaqat bayn alaitijah walsuluka: nazariat alsuluk almaequl wanazariat alsuluk almukhatita. majalat eulum al'iinsan walmujtamaei, 14(2).
([1]) Ong, A. K. S., Tacardon, E. R., & Gumasing, M. J. J. (2025). An extended theory of planned behavior approach for assessing factors affecting street food consumption in the Philippines. Food Quality and Preference, 123, p.105344.
([1])Eagly, A. H., & Chaiken, S. (2007). The advantages of an inclusive definition of attitude. Social cognition, 25(5), pp.582-602.
([1])Vamvaka, V., Stoforos, C., Palaskas, T., & Botsaris, C. (2020). Attitude toward entrepreneurship, perceived behavioral control, and entrepreneurial intention: dimensionality, structural relationships, and gender differences. Journal of Innovation and Entrepreneurship, 9, pp.1-26.
([1])Ursavaş, Ö. F., Yalçın, Y., & Bakır, E. (2019). The effect of subjective norms on preservice and in‐service teachers’ behavioural intentions to use technology: A multigroup multimodel study. British Journal of Educational Technology, 50(5), pp.2501-2519.
([1])Zhao, X., Fan, L., & Xu, Y. (2025). An investigation of determinants of green consumption behavior: an extended theory of planned behavior. Innovation and Green Development, 4(1), p.100198.
([1])Hinterhuber, A., & Khan, O. (2025). What drives sustainable procurement? Insights from the theory of planned behavior. International Journal of Operations & Production Management, 45(13), pp.28-52.
-Al-Mashhadani, S. (2020). manahij albahth al'iielami. Alein, (ta2), dar alkitaab aljamieii.
([1])Gao, S., He, L., Chen, Y., Li, D., & Lai, K. (2020). Public perception of artificial intelligence in medical care: content analysis of social media. Journal of Medical Internet Research, 22(7), e16649.
([1])Rodríguez, C. G. (2024). Anxiety in the face of Artificial Intelligence. Between pragmatic fears and uncanny terrors/Ansiedad ante la Inteligencia Artificial. Entre temores pragmáticos y terrores ominosos. Studies in Psychology, 45(1), pp.123-144.
([1])White, J. M., & Lidskog, R. (2022). Ignorance and the regulation of artificial intelligence. Journal of Risk Research, 25(4), pp.488-500.
([1])Yim, I. H. Y., & Su, J. (2024). Artificial intelligence (AI) learning tools in K-12 education: A scoping review. Journal of Computers in Education, pp.1-39.
([1])Page, J., Bain, M., & Mukhlish, F. (2018, August). The risks of low level narrow artificial intelligence. In 2018 IEEE international conference on intelligence and safety for robotics (ISR) pp. 1-6.
([1])Li, X., Li, Z., Wang, Q., & Guo, X. (2024). The influences of expressive and instrumental social ties in social commerce: integrating dyadic views from buyers and sellers. Information Technology & People, 37(1), pp.251-284.
([1])Walter, Y. (2024). The Future of Artificial Intelligence Will Be “Next to Normal”—A Perspective on Future Directions and the Psychology of AI Safety Concerns. Nature Anthropology, 2(1), p.10001.
([1])Hinks, T. (2024). Artificial Intelligence Perceptions and Life Satisfaction. Journal of Happiness Studies, 25(1), p.5.
([1])Nawaz, N., Arunachalam, H., Pathi, B. K., & Gajenderan, V. (2024). The adoption of artificial intelligence in human resources management practices. International Journal of Information Management Data Insights, 4(1), p.100208.
([1])Hmoud, M., Swaity, H., Hamad, N., Karram, O., & Daher, W. (2024). Higher education students’ task motivation in the generative artificial intelligence context: the case of chatgpt. Information, 15(1), p.33.
([1])Manoharan, G., Rao, C. G., Ashtikar, S. P., Kumar, S., & Nivedha, M. (2024). Voyage Virtuoso: Artificial Intelligence in Transforming Tourism. In Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality, pp. 79-97.
([1])Kumar, T. V. (2024). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative. Available online at:
https://philpapers.org/rec/VARDAU-3
([1]) Revathy, S., Sreekala, S. P., Praveenadevi, D., Rajeshwari, S., De Albuquerque, V. H. C., Raj, P., & Yadav, S. P. (2024). 12 The intelligent implications of artificial intelligence-driven decision-making in business management. In Toward Artificial General Intelligence: Deep Learning, Neural Networks, Generative AI, pp. 251-268.
([1])Chan, E. Y. (2024). Emotional marketing. In consumer behavior in practice: Strategic insights for the modern marketer, pp. 85-103.
([1])(2013). Diagnostic and statistical manual of mental disorders (DSM-5). American Psychiatric Association.
([1])Nguyen, T. D., Pham, T. P., & Thi, H. M. (2025). Research on Vietnam’s E-commerce in the Process of International Economic Integration. European Journal of Development Studies, 5(1), pp. 28-32.
([1])Menard, P., & Bott, G. J. (2025). Artificial intelligence misuse and concern for information privacy: New construct validation and future directions. Information Systems Journal, 35(1), pp.322-367.
([1])Page, J., et al, Op. Cit., pp. 1-6.
([1])Ng, B., Azzopardi, M., Ditchfield, A., Zi, J., Logeswaran, A., Hawthorne, I., ... & Chong, Y. J. (2024). Cosmetic Contact Lenses in the United Kingdom: Assessment of Online Regulation and Quality of Consumer Health Information. Eye & contact lens, 50(6), pp.243-248.
([1])Zhang, X., & Zhang, Z. (2024). Leaking my face via payment: Unveiling the influence of technology anxiety, vulnerabilities, and privacy concerns on user resistance to facial recognition payment. Telecommunications Policy, 48(3), p.102703.
([1])Jain, V., Wadhwani, K., & Eastman, J. K. (2024). Artificial intelligence consumer behavior: A hybrid review and research agenda. Journal of Consumer Behaviour, 23(2), pp.676-697.
([1])Vecchietti, G., Liyanaarachchi, G., & Viglia, G. (2025). Managing deepfakes with artificial intelligence: Introducing the business privacy calculus. Journal of Business Research, 186, p.115010.
([1])Kaur, A., Noori Hoshyar, A., Saikrishna, V., Firmin, S., & Xia, F. (2024). Deepfake video detection: challenges and opportunities. Artificial Intelligence Review, 57(6), pp.1-47.
([1])Heidari, A., Jafari Navimipour, N., Dag, H., & Unal, M. (2024). Deepfake detection using deep learning methods: A systematic and comprehensive review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(2), p. 1520.
([1])Passos, L. A., Jodas, D., Costa, K. A., Souza Júnior, L. A., Rodrigues, D., Del Ser, J., & Papa, J. P. (2024). A review of deep learning‐based approaches for deepfake content detection. Expert Systems, 41(8), p. 13570.
([1])Kaur, U., & Siddhey, P. K. (2025). Deepfake Prospects, Mitigating Factors, and Deceptions. In Deepfakes and Their Impact on Business, IGI Global Scientific Publishing, pp. 197-220.
([1])Sembiring, J., & Firdaus, S. U. (2025). Criminal liability for misuse of artificial intelligence (ai) in deepfake crimes. International journal of multi science, 5(1), pp. 1-9.
([1])Efthymiou, I. P., & Egleton, T. E. (2025). The Impact of Deep Fakes in Markets and Economies. In Deepfakes and Their Impact on Business, IGI Global Scientific Publishing. pp. 19-50.
([1])Khan, A. W., & Mishra, A. (2024). AI credibility and consumer-AI experiences: a conceptual framework. Journal of Service Theory and Practice, 34(1), pp. 66-97.
([1])Gillath, O., Ai, T., Op. Cit., p.106607.
([1])Xie, Z., Yu, Y., Zhang, J., & Chen, M. (2022). The searching artificial intelligence: Consumers show less aversion to algorithm‐recommended search product. Psychology & Marketing, 39(10), pp.1902-1919.
([1])Cadario, R., Longoni, C., & Morewedge, C. K. (2021). Understanding, explaining, and utilizing medical artificial intelligence. Nature Human Behaviour, 5(12), pp.1636–1642.