مدل استفاده از هوش مصنوعی در ارائه خدمات الکترونیک اپراتورهای تلفن همراه
محورهای موضوعی : پردازش چند رسانه ای، سیستمهای ارتباطی، سیستمهای هوشمندآرزو صدری 1 , دیبا ولی زاده بهادر 2 , میثم معدنی پور 3
1 - کارشناسی ارشد مدیریت نوآوری تکنولوژی، دانشگاه علم و صنعت، تهران، ایران.
2 - عضو گروه اقتصاد، مؤسسه دانشگاه فدرال لندن، دانشگاه سی تی لندن
3 - دانشجوی دکتری، گروه مدیریت بازرگانی، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
کلید واژه: هوش مصنوعی, تجارت الکترونیک, تلفن همراه,
چکیده مقاله :
هوش مصنوعی ابزاری کلیدی در ایجاد رقابت‌پذیری و نوآوری در صنعت ارتباطات موبایل شناخته می‌شود. این پژوهش با هدف طراحی الگوی استفاده از هوش مصنوعی در ارائه خدمات الکترونیک اپراتورهای تلفن همراه با استفاده از رویکرد معادلات ساختاری تفسیری انجام شده است. تحقیق حاضر از لحاظ هدف، از نوع تحقیقات کاربردی و از نظر نوع روش، و از لحاظ روش جمع آوری دادهها روش تحقیق آمیخته محسوب میگردد. جامعه آماری در بخش کیفی شامل 15 نفر از خبرگان شامل مدیران و اعضای هیات علمی، مدیران مخابرات انتخاب شده است. ابزار اصلی گردآوری دادهها شامل مصاحبه نیمه ساختاریافته (در بخش کیفی) است. براساس نتایج حاصل از تحلیل کیفی 15 مضامین استخراج شد که شامل نیازهای مشتری، کاهش هزینه‌ها، قوانین و مقررات، بهبود تجربه کاربری، رقابت در بازار، مقیاس‌پذیری، بهبود کارایی، نوآوری و تمایز، دسترسی 24 ساعته، امنیت دادهها، فرهنگ سازمانی، مشتری مداری، آموزش و توسعه، کیفیت دادهها، افزایش درآمد بودند. در نهایت برای تعیین روابط علت و معلولی و سطح بندی بین مضامین از معادلات ساختاری تفسیری(ISM) استفاده شد که طبق نتایج به دست آمده مضامین در 8 سطح قرارگرفتند. استفاده از هوش مصنوعی در ارائه خدمات الکترونیک اپراتورهای تلفن همراه نتایج قابل توجهی داشته است؛ از آن جمله می‌توان به افزایش کیفیت خدمات، بهبود تجربه مشتری 
و کاهش هزینه‌های عملیاتی اشاره کرد. در نتیجه، هوش مصنوعی به عنوان یک ابزار کلیدی در ایجاد مزیت رقابتی برای اپراتورهای تلفن همراه مورد توجه قرارگرفته است.
Abstract
Introduction: Artificial intelligence is recognized as a key tool in creating competitiveness and innovation in the mobile communication industry. This research has been done with the aim of designing the pattern of using artificial intelligence in the provision of electronic services of mobile phone operators using the interpretive structural equations approach.
Method: The current research is considered a mixed research method in terms of the purpose, the type of applied research, the type of method, and the method of data collection. The statistical population in the qualitative section includes 15 experts, including managers and academic staff members, telecommunications managers. The main data collection tool includes semi-structured interviews (in the qualitative section).
Results: Based on the results of qualitative analysis, 15 themes were extracted, including customer needs, cost reduction, rules and regulations, improving user experience, market competition, scalability, improving efficiency, innovation and differentiation, 24-hour access, data security, and organizational culture. customer orientation, training and development, data quality, income increase. Finally, Interpretive Structural Equations (ISM) were used to determine cause and effect relationships and leveling between themes, and according to the results, the themes were placed in 8 levels.
Discussion: The use of artificial intelligence in the provision of electronic services of mobile phone operators has brought significant results, among which we can mention the increase of service quality, improvement of customer experience and reduction of operational costs. As a result, artificial intelligence is being considered as a key tool in creating a competitive advantage for mobile operators.
[1] Fedorko, R., Krá,S., Baˇcík,R.(2022). Artificial Intelligence in E-commerce:A Literature Review, Engineering and Communications Technologies 111, https://doi.org/10.1007/978-981-16-9113-3_50.
[2] Tehrani Pour, Soheil, Mansouri, Mohammad, Yazdani, Samaneh. (2023). ParsAirCall: A conversational automated voice telephone system in airport call centers using deep transfer learning. Intelligent Multimedia Processing and Communication Systems, 2(4), 11-20.
[3] Lissy,.S.,L.V.R. Manoj Kumar ., S.Umamaheswari.,S.S.Onyx Nathanae.,Nirmal Raj.,Kismat Kaur.,A Sulthan Mohideen.(2024). A Study On Artificial Intelligence In The E-Commerce Industry, Migration Letters,Volume: 21, No: S5 (2024), pp. 983-997ISSN: 1741-8984 (Print) ISSN: 1741-8992 (Online).
[4] Ramak, J., & Doroudi, H. (2023). Investigating the role of new media capabilities (platform: Instagram) on e-commerce (women's clothing purchase intention) with regard to the role of brand attitude. Intelligent Multimedia Processing and Communication Systems, 3(4), 43-54.
[5] Shina, A., & Vishal, R. (2019). The application of artificial intelligence in e-commerce industry. Journal of E-Commerce Studies, 10(3), 45-58.
[6] Nguyen, T. (2023). Artificial intelligence solutions for enhancing e-commerce website cybersecurity. Journal of Cybersecurity and E-Commerce, 8(2), 112-125.
[7] Bakare, B.I., Ekolama, M.S.(2023). Application of Artificial Intelligence ( AI ) to GSM Operations, European Journal of Science , Innovation and Technology, Volume 3 | Number 6 | 2023
[8] Thiongane, M., Chan, W., & L’Ecuyer, P. (2020). Delay Predictors in Multi-skill Call Centers: An Empirical Comparison with Real Data. In International Conference on Operations Research and Enterprise Systems: ICORES.
[9] Yazdan Parast, Sayyed Morteza, Jamipour, Mona and Bagheri, Sayyed Mohammad Bagher. (1401). Identifying and prioritizing the applications of artificial intelligence in online marketing, Scientific Journal of Commercial Management Explorations, 14(28), pp. 103-137.
[10] Isaac, P. Chaturvedi, P. Gareja, R. Grover, Secured E-banking system using artificial intelligence, Int. J. Emerg. Trends Eng. Res. 6 (10) (2018) 15–17.
[11] M. Johnson, AI in eCommerce: Benefits and Examples, divante, Poland, May 2022.
[12] Holsapple, C. W., & Singh, M. (2000). From e-commerce to e-knowledge. AMCIS 2000 Proceedings, 193.
[13] Kaplan, R. S., & Henlein, S. (2019). Analyzing data complexity in e-commerce. Journal of Business Analytics, 12(4), 245-262.
[14] Bawack,R.E.,Samuel,F.,Wamba,A., Kevin.,D.,André,C., Shahriar,A.(2022). Artificial intelligence in E‑Commerce: a bibliometric study and literature review, Electronic Markets (2022) 32:297–338.
[15] Di Vio, S., et al. (2023). Enhancing sustainable AI solutions in e-commerce. Journal of Emerging Technologies in Business, 17(2), 112-130.
[16] Ordannini, R., & Rubra, L. (2008). AI in enhancing e-commerce systems. E-Commerce and Technology Journal, 5(1), 45-60.
[17] Glyxson, M., & Woolley, S. (2020). AI’s role in shaping global e-commerce trends. International Journal of E-Commerce Studies, 21(2), 88-102.
[18] Dividi, T., et al. (2019). Exploring AI-driven improvements in e-commerce. International Business and AI Journal, 16(3), 98-112.
[19] Davenport, T. H., & Ronanki, R. (2018). How AI improves decision-making in e-commerce. Business Analytics Review, 24(6), 75-89.
[20] Chen, Y., Zhang, L., & Liu, J. (2022). Exploring the technical benefits of artificial intelligence on corporate performance in e-commerce. Journal of Business Strategy, 38(2), 198-210.
[21] Di Vio, G., Martinez, D., & Zhou, H. (2023). Artificial intelligence and digital transformation in supply chain management. Business and Technology, 22(1), 56-72.
[22] Karam, N., Anderson, B., & Williams, P. (2020). The integration of AI in e-commerce: A critical review. Technology and Innovation Management, 7(3), 149-165.
[23] Azizi, M. (2024). Artificial intelligence and its impact on e-commerce marketing and customer personalization. Journal of Marketing Innovations, 15(3), 245-263.
[24] Sermon, J., Thompson, D., & Lee, K. (2011). Resource orchestration and its role in achieving competitive advantage. Strategic Management Review, 6(3), 175-189.
[25] Koy, M., Hossain, M., & Gupta, A. (2017). The impact of resource orchestration on innovation outcomes. Strategic Management Journal, 21(4), 275-289.
[26] Walls, K., Lawrence, E., & Greene, M. (2013). Resource orchestration and performance outcomes in the business context. Journal of Business Theory, 19(1), 142-159.
[27] Wang, H., Li, W., & Wu, Y. (2012). Creating value through resource orchestration: The role of innovation. Business Innovation Review, 13(2), 134-148.
[28] Luo, J., & Wu, X. (2021). Artificial intelligence as intangible assets for competitive advantage. Journal of Business and Technology, 33(2), 200-217.
[29] Wang, J., & Van, L. (2021). The role of AI in international trade and business growth. Journal of Business and AI, 8(1), 202-214.
[30] Denicola, A., Adams, L., & Patel, R. (2021). AI orchestration capabilities and their role in business competition. Journal of Strategic Management, 19(6), 412-430.
[31] Bhuyan, M. D., Kalita, H., and Dey, P. (2021) An Analytical Study on the Impact of Digital India on Indian E-Commerce Market. Journal of Interdisciplinary Cycle Research, 13(1), 1797-1806
[32] Pandey, R., Chatterjee, S., and Roy, R. (2021) Role of Omnichannel Retailing in Enhancing Customer Experience in Indian E-Commerce: An Empirical Study. International Journal of Strategic Management, 21(2), 25-35
[33] Raju, S. S. (2020) Factors Affecting Consumer Online Buying Behavior: A Study of Online Shoppers in India. International Journal of Applied Engineering Research, 15(1), 183-195.
[34] Shabani, Naser. (1401). Applications of artificial intelligence in business management and e-commerce (Study case: Tehran Social Security Organization), Master's Thesis, Payam Noor University, Tehran Province, Payam Noor Center, West Tehran.
[35] Faiz, Sidmjatbi. (1402). Investigating the moderating role of artificial intelligence in the effect of e-commerce adoption on the business performance of insurance companies (case study of Dana insurance company employees in Mashhad), Master's thesis, Shandiz Institute of Higher Education, Department of Management
[36] Wang, C., Ahmad,S.F., Ahmad Y.A. Bani., Emad Mahrous Awwad, Muhammad Irshad, Yasser A. Ali, Muna Al-Razgan , Yasser Khan, Heesup Han(2023). An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce, Heliyon 9 (2023) e18349 journal homepage: www.cell.com/heliyon
[37] Sangeetha, K.(2023). A Study On Artificial Intelligence In Ecommerce Industry, International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org, Volume 11, Issue 10 October 2023.
[38] Nichifor, E., Trifan, A., & Nechifor, E. M. (2021). Artificial intelligence in electronic commerce: Basic chatbots and the consumer journey. Amfiteatru Economic, 23(56), 87-101.
[39] Fedorko, R., Kráľ, Š., & Bačík, R. (2022, July). Artificial intelligence in e-commerce: A literature review. In Congress on Intelligent Systems: Proceedings of CIS 2021, Volume 2 (pp. 677-689). Singapore: Springer Nature Singapore.
