احمدی، ر.، و حسینی، م. (۱۴۰۱). بررسی تأثیر هوش مصنوعی بر تجربه مشتری در صنعت پوشاک ایران. مجله مدیریت بازرگانی، دانشگاه تهران، ۱۵(۳)، ۴۵-۶۰.
DOI: [10.1001/jmb.1401.1234](https://doi.org/10.1001/jmb.1401.1234) 2.
جعفری، م.، و میرزایی، ر. (۱۴۰۲). تأثیر هوش مصنوعی بر پیشبینی سلیقه مشتریان در بازار مد ایران. فصلنامه فناوری و بازاریابی، ۱۵(۲)، ۵۵-۷۰. ۲.
حسینی، ف.، و همکاران. (۱۴۰۰). نقش سیستم‌های توصیه‌گر هوشمند در تجربه خرید مشتریان ایرانی. مجله مدیریت تجارت الکترونیک، ۸(۴)، ۱۲۰-۱۳۵. ۳.
رحیمی، ع.، و علیپور، س. (۱۴۰۱). بهینه‌سازی هزینه‌های بازاریابی با استفاده از هوش مصنوعی: مطالعه موردی برندهای مد. نشریه هوش مصنوعی کاربردی، ۶(۱)، ۸۹-۱۰۴.
صادقی، ع.، و محمدی، ف. (۱۴۰۰). کاربرد یادگیری ماشین در پیشبینی ترندهای مد و تأثیر آن بر وفاداری مشتری. مقالات کنفرانس ملی فناوری اطلاعات و کسب‌وکار، دانشگاه صنعتی شریف، ۱۲(۲)، ۱۱۲-۱۲۵.
URL: [http://conf.sharifi.edu.ir/1400/paper123](http://conf.sharifi.edu.ir/1400/paper123) 3.
نوری، ز.، و رضوی، س. (۱۴۰۲). تحلیل چالش‌های اخلاقی استفاده از هوش مصنوعی در صنعت مد ایران. فصلنامه اخلاق در فناوری، پژوهشگاه علوم انسانی، ۸(۱)، ۷۸-۹۴.
DOI: [10.1001/ef.1402.5678](https://doi.org/10.1001/ef.1402.5678)
Abid, H., Mohd,J., Mohd, A. Q., Ravi, P. S., & Rajiv, S. (2022). Artificial intelligence (AI)
applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3(1), 119–132.
Ahmadi, R., & Hosseini, M. (2022). Investigating the Impact of Artificial Intelligence on Customer Experience in Iran’s Apparel Industry. Journal of Business Management, University of Tehran, *15*(3), 45-60. DOI: 10.1001/jmb.1401.1234 [In Persian]
AL-Khatib, A.W., Ramayah, T., 2023. Big data analytics capabilities and supply chain
performance: testing a moderated mediation model using partial least squares approach. Bus. Process Manag. J. 29 (2), 393–412.
Anzén, E., & Ekberg, L. (2020). Understanding how automatized personalization with AI can
drive value in B2B marketing: A case study of a Swedish industrial equipment
manufacturer. Master of Science Thesis TRITA-ITM-EX2020:138. Retrieved from:
https://www.diva-portal.org/smash/get/diva2:1461556/FULLTEXT01.pdf
Arvind, D. K., & Prithwiraj, D. (2022). An empirical study on disruptive artificial intelligence in marketing. International Journal of Research in Engineering and Science, 10(4), 78 – 85.
Bass, A. S. (2018). GrAIt expectations. The Economist, 426(9085), 3–12.
Cao, L. (2021), “Artificial intelligence in retail: applications and value creation logics”, International Journal of Retail and Distribution Management, Vol. 49 No. 7, pp. 958-976, doi: 10.1108/ijrdm-09- 2020-0350.
Chatterjee, S., Chaudhuri, R., Vrontis, D., et al., 2021. Adoption of artificial intelligenceintegrated CRM systems in agile organisations in India. Technol. Forecast. Soc. Change 168 (2), 120783.
Chen, J. S., Le, T. T. Y., & Florence, D. (2021). Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. International Journal of Retail & Distribution Management, 49(11), 1512-1531.
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How Artificial Intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48, 24–42.
de Bellis, E. and Johar, V.G. (2020), “Autonomous shopping systems: identifying and overcoming barriers to consumer adoption”, Journal of Retailing, Vol. 96 No. 1, pp. 74-87, doi: 10.1016/j.jretai. 2019.12.004.
Gartner. (2020). Top CX trends for CIOs to watch. Gartner. Retrieved from https:// www.gartner.com/smarterwithgartner/top-cx-trends-for-cios-to-watch/. Accessed on April 23, 2020.
Glaser, B. G. (2008), “Conceptualization: On theory and theorizing using grounded
theory”, International Journal of Qualitative Methods, 1(2), 23-38.
Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of technology and
marketing: A multidisciplinary perspective. Journal of the Academy of Marketing
Science, 48(1), 1-8.
Hariguna, T., & Ruangkanjanases, A. (2024). Assessing the impact of artificial intelligence on customer performance: A quantitative study using partial least squares methodology. Data Science and Management.
Hasan, R., Weaven, S., & Thaichon, P. (2021). Blurring the line between physical and digital environment: The impact of artificial intelligence on customers’ relationship and customer experience. In Developing digital marketing (pp. 135-153). Emerald Publishing Limited.
Hayadi, B.H., Widawati, E., Bachtiar, M., et al., 2023. Certainty factor method analysis for
identification of covid-19 virus accuracy. IJIIS Int. J. Informatics Inf. Syst. 6 (1), 38–46.
Ho, S. P. S., & Chow, M. Y. C. (2023). The role of artificial intelligence in consumers’ brand preference for retail banks in Hong Kong. Journal of Financial Services Marketing, 1-14.
Hosseini, F., et al. (2021). The Role of Intelligent Recommender Systems in Iranian Customers’ Shopping Experience. Journal of E-Commerce Management, *8*(4), 120-135. [In Persian]
Hotjar (2022). Understanding customer experience. https://www.hotjar.com/customerexperience
How AI strategies can be used to create a new customer experience in the fashion industry
Jafari, M., & Mirzaei, R. (2023). The Impact of Artificial Intelligence on Predicting Customer Preferences in Iran’s Fashion Market. Journal of Technology and Marketing, *15*(2), 55-70. [In Persian]
Kerr, N. M. (2011). “Creating a protective picture: A grounded theory of how
medical-surgical nurses decide to follow a “charting-by-exception policy on a
day-to-day”, patient-by-patient basis, Doctor of Philosophy, the State University
of New Jersey.
Li, F., Wang, W., & Zhang, H. (2022). Artificial intelligence in personalized fashion retailing: An overview and future directions. Journal of Retailing, 98(3), 134-149. https://doi.org/10.1016/j.jretai.2022.01.004
Malhotra, G. and Ramalingam, M. (2023), “Perceived anthropomorphism and purchase intention using artificial intelligence technology: examining the moderated effect of trust”, Journal of Enterprise Information Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEIM-09-2022- 0316
Newman, D. (2019). 5 ways AI is transforming the customer experience.
https://www.forbes.com/sites/danielnewman/2019/04/16/5-ways-ai-is-transformingthe- customer-experience/#49e17a31465a Accessed May, 16, 2022.
Nouri, Z., & Razavi, S. (2023). Analyzing the Ethical Challenges of Using Artificial Intelligence in Iran’s Fashion Industry. Quarterly Journal of Ethics in Technology, Institute for Humanities and Cultural Studies, *8*(1), 78-94. DOI: 10.1001/ef.1402.5678 [In Persian]
Nwachukwu, D. & Maudlinepac, B. E. (2022). Auditory marketing strategy and customers
experience in bar & restaurant businesses in Port Harcourt. International Journal of
Business, Economics and Entrepreneurship Development in Africa, 10(5), 113 – 130
Nwachukwu, D., & Affen, M. P. (2023). Artificial intelligence marketing practices: The way forward to better customer experience management in Africa (Systematic Literature Review). International Academy Journal of Management, Marketing and Entrepreneurial Studies, 9(2), 44-62.
Pillai, R., Sivathanu, B. and Dwivedi, Y.K. (2020), “Shopping intention at AI-powered automated retail stores (AIPARS)”, Journal of Retailing and Consumer Services, Vol. 57, August, pp. 102-207, doi: 10.1016/j.jretconser.2020.102207.
Prakash, M. (2023). AI in cyber security: Use cases, advantages. Knowledgehut. https://www.knowledgehut.com/blog/security/ai-in-cyber-security
Prentice, C., & Nguyen, M. (2020). Engaging and retaining customers with AI and employee
service. Journal of Retailing and Consumer Services, 56, 102186.
Rahimi, A., & Alipour, S. (2022). Optimizing Marketing Costs Using Artificial Intelligence: A Case Study of Fashion Brands. Journal of Applied Artificial Intelligence, *6*(1), 89-104. [In Persian]
Sadeghi, A., & Mohammadi, F. (2021). The Application of Machine Learning in Predicting Fashion Trends and Its Impact on Customer Loyalty. Proceedings of the National Conference on Information Technology and Business, Sharif University of Technology, *12*(2), 112-125. URL: http://conf.sharifi.edu.ir/1400/paper123 [In Persian]
Satheesh, M., & Nagaraj, S. (2021). Applications of artificial intelligence on customer experience and service quality of the banking sector. International Management Review, 17(1), 9-86.
Silva, E.S., Hassani, H. and Madsen, D.Ø. (2020), “Big Data in Fashion: transforming the retail sector”, Journal of Business Strategy, Vol. 41 No. 4, pp. 21-27, doi: 10.1108/jbs-04-2019-0062.
Skilton, M., & Hovsepian, F. (2017). The 4th industrial revolution: Responding to the
impact of Artificial Intelligence on business. Cham: Palgrave Macmillan.
Srivastava, K., & Pal, D. (2024). Importance of AI attributes in Indian retail stores: a conjoint analysis approach. International Journal of Retail & Distribution Management, 52 (3): 355-371.
Steinhoff, L., Arli, D., Weaven, S., & Kozlenkova, I. V. (2019). Online relationship
marketing. Journal of the Academy of Marketing Science, 47(3), 369–393.
Sterne, J. (2017). Artificial Intelligence for marketing: Practical applications. Hoboken,
NJ: John Wiley & Sons.
Syam, N., & Sharma, A. (2018). Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice. Industrial Marketing Management, 69, 135–146. https://doi.org/10.1016/j.indmarman.2017.12.019
Thaichon, P., Liyanaarachchi, G., Quach, S., Weaven, S., & Bu, Y. (2019). Online
relationship marketing: Evolution and theoretical insights into online relationship
marketing. Marketing Intelligence & Planning, 38(6), 676–698.
Weber, F.D. and Schutte, R. (2019), € “State-of-the-art and adoption of artificial intelligence in retailing”, Digital Policy, Regulation and Governance, Vol. 21 No. 3, pp. 264-279, doi: 10.1108/dprg-09- 2018-0050.
Xu, X., & Chen, J. (2023). AI in fashion supply chain optimization: Challenges and opportunities. International Journal of Production Economics, 243, 108312. https://doi.org/10.1016/j.ijpe.2023.108312
Zhang, L., & Liu, H. (2023). AI-driven fashion trend forecasting: Advances and applications. Journal of Fashion Technology & Textile Engineering, 12(1), 21-35. https://doi.org/10.1016/j.jftte.2023.02.005
Zhang, L., & Liu, H. (2023). Chatbots and emotional analytics: Redefining customer interactions in fashion. *Journal of Fashion Marketing and Management*, ۲۸(۲), ۲۰۵–۲۲۲. DOI: [10.1108/JFMM-06-2023-0185](https://doi.org/10.1108/JFMM-06-2023-0185)
Zhang, L., & Wang, R. (2024). Artificial intelligence and customer experience in the fashion industry: A review and future directions. Journal of Fashion Marketing and Management, 28(2), 205-222. https://doi.org/10.1108/JFMM-06-2023-0185
