The impact of social media with the help of artificial intelligence on customer engagement in the automotive industry
Subject Areas : Understanding market service attitudesNastaran Ghahremanzadeh 1 , سید عبدالله حیدریه 2 , Younos Vakil Alroaia 3
1 -
2 - دانشگاه آزاد سمنان
3 - Research Center, Faculty of Humanities, Semnan Branch, Islamic Azad University, Semnan, Iran
Keywords: Social media, artificial intelligence, customer engagement, automotive industry.,
Abstract :
In recent years, the use of artificial intelligence in social media has increased, and managers are trying to use this potential opportunity for greater customer engagement. The purpose of this study is the impact of social media with the help of artificial intelligence on customer engagement in the automotive industry. The research has been done in a descriptive-survey way. The research community is qualitative and quantitative. The participants in the qualitative part include marketing managers of the automotive industry and university professors of marketing in the number of 23 people who were selected by non-probability and purposeful sampling. The statistical population in the quantitative part includes customers of the automotive industry, who were randomly selected and 412 people. In the qualitative part, the components and indicators of the model were identified and extracted by the content analysis method and finally confirmed by the Lawshe coefficient method. The findings of this section showed that the social media variable has four components including strategy, communication, trust and information, and customer engagement has three components: information engagement, growth engagement and innovation engagement. Therefore, four hypotheses were proposed and the data collected through the questionnaire were tested with structural equation modeling technique and Smart PLS software. The result of the model test showed that there is no relationship between the strategy, communication and trust of artificial intelligence of social media and customer engagement. However, there is a positive and significant relationship between social media artificial intelligence information and customer engagement. Therefore, the marketing managers of the automotive industry should use strategies, communication, trust and artificial intelligence information in social media to encourage customers to participate in the sharing of information and ideas.
1. تقی‌آبادی، م.، تقی‌آبادی، م.، تقی‌آبادی، ح.، (1401). نقش رسانه‌های اجتماعی در مشارکت مشتری با برندهای ایرانی صنعت زیبایی و آرایشی. مطالعات مدیریت کسب و کار هوشمند، دوره 11، شماره 42، 71-102.
2. سید نژاد، د.،, بوداقی خواجه، ح.، علوی متین، ی.، رمضانی، م.، (1401). طراحی مدل مشارکت مشتری در بازاریابی رسانه‌های اجتماعی (مورد مطالعه: خدمات زیبایی پوست‌ومو)، مدیریت بازرگانی، دوره 14، شماره 4، 717-740.
3. مشهدی‌زاده، م.، ساعدی، ب.، (1399). بررسی روابط میان مشارکت مشتری، ایجاد ارزش مشتری و چسبندگی مشتری به شبکه‌های اجتماعی در نظام بانکی، نشریه اقتصاد و بانکداری اسلامي، دوره 9، شماره 32، ۱۴۷-۱۷۳.
4. Agyapong, D., & Tweneboah, G. (2023). The antecedents of circular economy financing and investment supply: The role of financial environment. Cleaner Environmental Systems, 100103.
5. Arul, P., & Tahir, M. (2023). The Effect of Social Media on Customer Relationship Management; A Case Of Airline Industry Customers. International Journal of Management & Entrepreneurship Research, 5(6), 360-372.
6. Bansal, R., Pruthi, N., & Singh, R. (2022). Developing customer engagement through artificial intelligence tools: roles and challenges. In Developing Relationships, Personalization, and Data Herald in Marketing 5.0 (pp. 130-145). IGI Global.
7. Basri, W. (2020). Examining the impact of artificial intelligence (AI)-assisted social media marketing on the performance of small and medium enterprises: toward effective business management in the Saudi Arabian context. International Journal of Computational Intelligence Systems, 13(1), 142-152.
8. Bazrkar, A., Hajimohammadi, M., Aramoon, E., & Aramoon, V. (2021). Effect of the social media marketing strategy on customer participation intention in light of the mediating role of customer perceived value. Market-Tržište, 33(1), 41-58.
9. Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44(3), 148–155.
10. Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A. E., & Codignola, F. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations. Technological Forecasting and Social Change, 151, 119794.
11. Chen, Y., Prentice, C., Weaven, S., & Hisao, A. (2022). The influence of customer trust and artificial intelligence on customer engagement and loyalty–The case of the home-sharing industry. Frontiers in Psychology, 13, 912339.
12. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, 102168.
13. Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Utriainen, K., & Kyngäs, H. (2014). Qualitative content analysis: A focus on trustworthiness. SAGE open, 4(1), 2158244014522633.
14. Gao, L., Li, G., Tsai, F., Gao, C., Zhu, M., & Qu, X. (2023). 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.
15. Gummerus, J., Liljander, V., Weman, E., & Pihlström, M. (2012). Customer engagement in a Facebook brand community. Management Research Review, 35(9), 857–877.
16. Gupta, Y., & Khan, F. M. (2024). Role of artificial intelligence in customer engagement: a systematic review and future research directions. Journal of Modelling in Management. https://doi.org/10.1108/JM2-01-2023-0016.
17. Hafidz, G. P., & Tunisa, S. S. R. (2023). The Influence Of Social Media Marketing Activities, Perceived Value, And Customer Experience On Skincare Customer Behavior Through Relationship Quality. Jurnal Ekonomi, 12(02), 352-359.
18. Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027.
19. Ho, R. C. (2021). Chatbot for online customer service: Customer engagement in the era of artificial intelligence. In Impact of globalization and advanced technologies on online business models (pp. 16-31). IGI Global.
20. Ibrahim, B., Aljarah, A., Hazzam, J., Elrehail, H., & Qalati, S. A. (2023). Investigating the Impact of Social Media Marketing on Intention to Follow Advice: The Mediating Role of Active Participation and Benevolence Trust. FIIB Business Review, 23197145221147991.
21. Jiao, Y., Wu, Y., & Lu, Q. S. (2020). Improving the performance of customer participation in new product development: the moderating effect of social media and firm capabilities. Asian Journal of Technology Innovation, 28(2), 284-304.
22. Kaplan, A., & 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.
23. Kartal, H., Oztekin, A., Gunasekaran, A., & Cebi, F. (2016). An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Computers & Industrial Engineering, 101, 599-613.
24. Kose, U., & Sert, S. (2017). Improving content marketing processes with the approaches by artificial intelligence. arXiv preprint arXiv:1704.02114.
25. Kumar, A., Bapat, G., Kumar, A., Hota, S. L., Abishek, G. D., & Vaz, S. (2023). Unlocking Brand Excellence: Harnessing AI Tools for Enhanced Customer Engagement and Innovation. Engineering Proceedings, 59 (1), 204.
26. Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135-155.
27. Larivière, B., Bowen, D., Andreassen, T. W., Kunz, W., Sirianni, N. J., Voss, C., ... & De Keyser, A. (2017). Service Encounter 2.0”: An investigation into the roles of technology, employees and customers. Journal of business research, 79, 238-246.
28. Li, B., Yao, R., & Nan, Y. (2023). How do friendship artificial intelligence chatbots (FAIC) benefit the continuance using intention and customer engagement?. Journal of Consumer Behaviour, 22(6), 1376-1398.
29. Mahmud, M. S., Islam, M. N., Ali, M. R., & Mehjabin, N. (2020). Impact of electronic word of mouth on customers’ buying intention considering trust as a mediator: A SEM approach. Global Business Review, 0972150920976345.
30. 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.
31. Owusu Yeboah, A. Y., Kwarteng, M. A., & Novak, P. (2023). Social media marketing, value creation and firm's sustainability performance: a study among young consumers. Aslib Journal of Information Management, 76(2), 248-268.
32. Perez-Vega, R., Kaartemo, V., Lages, C. R., Razavi, N. B., & Männistö, J. (2021). Reshaping the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework. Journal of Business Research, 129, 902-910.
33. Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756.
34. Rathore, A. K., Kar, A. K., & Ilavarasan, P. V. (2017). Social media analytics: Literature review and directions for future research. Decision Analysis, 14(4), 229–249.
35. Sachdeva, N., Rathore, A. K., Sondhi, N., & Bamel, U. (2023). Manifestation of customer value co-creation behaviour in the automobile industry: a perspective from Twitter analytics. Electronic Commerce Research, 1-38.
36. Sang, B., Aghamohammadi, N., & Md Noor, R. (2023). The Effects of Dynamic Strategy and Updating Network Structure Towards Customer Participation Innovation Performance. Journal of the Knowledge Economy, 1-31.
37. Singh, P., Verma, A., Vij, S., & Thakur, J. (2023). Implications & Impact of Artificial Intelligence in Digital Media: With Special Focus on Social Media Marketing. In E3S Web of Conferences (Vol. 399, p. 07006). EDP Sciences.
38. Sukumaran, A. K. S. (2022). The role of cognitive absorption in the experienced users' behaviour towards e-mail advertisements. International Journal of Business Information Systems, 39(1), 116-132.
39. Sung, E. C., Bae, S., Han, D. I. D., & Kwon, O. (2021). Consumer engagement via interactive artificial intelligence and mixed reality. International journal of information management, 60, 102382.
40. Suraña‐Sánchez, C., & Aramendia‐Muneta, M. E. (2024). Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda. International Journal of Consumer Studies, 48(2), e13027.
41. Verhagen, T., Swen, E., Feldberg, F., & Merikivi, J. (2015). Benefitting from virtual customer environments: An empirical study of customer engagement. Computers in Human Behavior, 48, 340-357.
42. Wu, C. H. J., & Phung, T. B. (2021). The antecedents of tourists' continuous usage intention of self-service technology in Taiwan. International Journal of Business Information Systems, 38(2), 281-298.
43. Yu, W. J., Hung, S. Y., Yu, A. P. I., & Hung, Y. L. (2023). Understanding consumers’ continuance intention of social shopping and social media participation: The perspective of friends on social media. Information & Management, 103808.