محددات ظاهرة فوبيا الذكاء الاصطناعي وعلاقتها بتجنب الشراء الإلكتروني | ||||
مجلة البحوث الإعلامية | ||||
Volume 74, Issue 3, April 2025, Page 2077-2178 PDF (12.75 MB) | ||||
Document Type: المقالة الأصلية | ||||
DOI: 10.21608/jsb.2025.364432.1897 | ||||
![]() | ||||
Author | ||||
رماح محمد يونس ![]() ![]() | ||||
كية الآداب قسم الإعلام جامعة كفرالشيخ | ||||
Abstract | ||||
هدفت الدراسة إلى رصد محددات ظاهرة فوبيا الذكاء الاصطناعي وعلاقتها بتجنب الشراء الإلكتروني، وتُعد هذه الدراسة من الدراسات الوصفية، واستخدمت منهج المسح، وتم الاستناد إلى نظرية السلوك المخطط، وتم تطبيق الدراسة على عينة متاحة من الجمهور المصري ممن لديهم معرفة بالذكاء الاصطناعي ويتجنبون الشراء الإلكتروني، بواقع (407) مفردات في الفئة العمرية من 18 عامًا فأكثر، وتم سحب العينة من خلال أداة الاستبانة الإلكترونية، واعتمدت الدراسة في اختيار العينة على معايير تشخيصية محددة للاضطرابات النفسية وفقًا للدليل التشخيصي والإحصائي للاضطرابات النفسية والعقلية الإصدار الخامس (DSM-5). وكشفت نتائج الدراسة أن أبعاد فوبيا الذكاء الاصطناعي تتمثل في: (فقدان الثقة في الذكاء الاصطناعي، والقلق من الذكاء الاصطناعي، والخوف من الذكاء الاصطناعي، والثورة السيبرانية، تجنب بيئة الذكاء الاصطناعي)، كما عكست النتائج أن تأثير الاتجاه الوجداني والمعرفي والسلوكي كان مرتفعًا على تجنب الشراء الإلكتروني خوفًا من الذكاء الاصطناعي، كما كان للمعايير الذاتية والتحكم السلوكي المدرك المتمثل في: (التحكم المالي، التحكم النفسي، التحكم في الأمن والخصوصية، التحكم في المنتجات) تأثير قوي على تجنب الشراء الإلكتروني خوفًا من الذكاء الاصطناعي. | ||||
Keywords | ||||
الذكاء الاصطناعي; فوبيا الذكاء الاصطناعي; تجنب الشراء الإلكتروني; نظرية السلوك المخطط; تحديات الذكاء الاصطناعي | ||||
References | ||||
Ucar, M., Çapuk, H., & Yiğit, M. F. (2024). The relationship between artificial intelligence anxiety and unemployment anxiety among university students. Available online at: https://journals.sagepub.com/doi/full/10.1177/10519815241290648 ([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])Bai, S. (2024). Factors Affecting the Attitude Towards AI Learning: Moderating Role of Information Management. Profesional de la información, 33(5). Available online at: https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87863 ([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])Gomes, S., Lopes, J. M., & Trancoso, T. (2025). Customer experience in digital transformation: the influence of intelligent chatbots toward a sustainable market. International Journal of Innovation Science. https://www.emerald.com/insight/content/doi/10.1108/ijis-06-2024-0148/full/html ([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])Patil, D. (2024). Email marketing with artificial intelligence: Enhancing personalization, engagement, and customer retention. Engagement, and Customer Retention (December 01, 2024).https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5057438 ([1])Stein, E., Robinson, K., Wolfer, A., Almeida, G., & Huang, W. (2025). Unlocking the next frontier of personalized marketing. The McKinsey Quarterly. Available online at: https://www.proquest.com/openview/1a1e665277dacb29de9de9f8345ab399/1?pq-origsite=gscholar&cbl=30375 ([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])Gupta, A. S., & Mukherjee, J. (2025). Exploring drivers of customer engagement with voice interface in E-retail. International Journal of Retail & Distribution Management. Available online at: https://www.emerald.com/insight/content/doi/10.1108/ijrdm-08-2024-0390/full/html ([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])Samuel, J., Khanna, T., & Sundar, S. (2024). Fear of artificial intelligence? NLP, ML and LLMs based discovery of AI-phobia and fear sentiment propagation by AI news. Available online at: https://scholarship.libraries.rutgers.edu/esploro/outputs/workingPaper/Fear-of-artificial-intelligence-NLP-ML/991031934202404646 ([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])Jude, C. R. (2024). The Road Towards Sustainability: Transforming Consumption Patterns with Artificial Intelligence. International Journal of Academic Reserach in Economics and Management Sciences, 13(2). Available online at: https://knowledgewords.com/index.php/ijarems/article/view/1009 ([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])Banerjee, S., Yadav, S. K., Dhara, A., & Ajij, M. (2025). A Survey: Deepfake and Current Technologies for Solutions. Available online at: https://ceur-ws.org/Vol-3900/Paper9.pdf ([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])Tahoun, N. (2020). The utilization of artificial intelligence in online advertising and its perceived effectiveness. Available online at: https://fount.aucegypt.edu/etds/1472/ ([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. | ||||
Statistics Article View: 1,001 PDF Download: 901 |
||||