Examining the impact of artificial intelligence on customer satisfaction in the IT industry
Keywords:
Artificial Intelligence, Customer Agility, IT Sector, 4IR, AI Threats.Abstract
AI is an open-ended, dynamic platform that benefits all parties involved, particularly consumers’ service in the IT sector. Customers may take advantage of on-demand personalized service and effortlessly explore everything in any part of the world at any time like 24 hours a day, 7 days a week. The main objective of this study is to clarify the role of Artificial Intelligence (AI) on enhancing customer satisfaction in the IT Industry of Bangladesh. This study also evaluates and emphasizes the benefits of artificial intelligence for customer satisfaction in IT sectors that influence consumer engagement on AI-powered systems to boost up the rate of consumer perception and drive to increase the repurchase intention of consumers and connect with the same platform to get better services from the IT industry and challenges of AI for customers as well as organizations that create obstacles for delivering customer service. Additionally, this research article is also recommended some suggestions how to properly usages and utilize of the artificial intelligence for the betterment of overall customer in the IT industry of Bangladesh.
References
Aguiar-Costa, L. M., Cunha, C. A. X. C., Silva, W. K. M., & Abreu, N. R. (2022). Customer satisfaction in service delivery with artificial intelligence: A meta-analytic study. Revista de Administração Mackenzie, 23(6). https://doi.org/10.1590/1678-6971/eRAMD220003
Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548. https://doi.org/10.1016/j.chb.2020.106548
BASIS. (2021). Software & IT services catalog 2021. https://basis.org.bd/public/files/publication/60d707ec45811__Software%20&%20IT%20Services%20Catalog%202021-min.pdf
Benitez, J., Henseler, J., & Castillo, A. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2), 103168.
Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021). Understanding anthropomorphism in service provision: A meta-analysis of physical robots, chatbots, and other AI. Journal of the Academy of Marketing Science, 49, 632–658. https://doi.org/10.1007/s11747-020-00762-y
Bock, D. E., Wolter, J. S., & Ferrell, O. C. (2020). Artificial intelligence: Disrupting what we know about services. Journal of Services Marketing, 34(3), 317–334. https://doi.org/10.1108/JSM-01-2019-0047
Bulchand-Gidumal, J. (2020). Impact of artificial intelligence in travel, tourism, and hospitality. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-Tourism. Springer. https://doi.org/10.1007/978-3-030-05324-6_110-1
Burns, E., Laskowski, N., & Tucci, L. (2023). Artificial intelligence (AI). TechTarget: Enterprise AI. https://www.techtarget.com/searchenterpriseai/definition/AI-Artificial-Intelligence
Christakis, N. A. (2019, April). How AI will rewire us: For better and for worse, robots will alter humans’ capacity for altruism, love, and friendship. The Atlantic.
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(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., & Vayena, E. (2021). An ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. In Philosophical Studies Series (pp. 19–39). Springer International Publishing.
George, A. S., & George, A. H. (2023). A review of ChatGPT AI’s impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9–23. https://doi.org/10.5281/zenodo.7644359
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, 7(3), 155–163. https://doi.org/10.1016/j.dsm.2024.01.001
Hsu, C.-L., & Lin, J. C.-C. (2023). Understanding the user satisfaction and loyalty of customer service chatbots. Journal of Retailing and Consumer Services, 71, 103211. https://doi.org/10.1016/j.jretconser.2022.103211
Kaartemo, V., & Helkkula, A. (2018). A systematic review of artificial intelligence and robots in value co-creation: Current status and future research avenues. Journal of Creating Value, 4(2), 211–228. https://doi.org/10.1177/2394964318805625
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. https://doi.org/10.1016/j.bushor.2018.08.004
Khan, S., Tomar, S., Fatima, M., & Khan, M. Z. (2022). Impact of artificial intelligence and Industry 4.0–based products on consumer behavior characteristics: A meta-analysis–based review. Sustainable Operations and Computers, 3, 218–225. https://doi.org/10.1016/j.susoc.2022.01.009
Lai, W.-C., & Hung, W.-H. (2018). A framework of cloud- and AI-based intelligent hotel. In Proceedings of the 18th International Conference on Electronic Business (ICEB), Guilin, China (pp. 36–43). https://aisel.aisnet.org/iceb2018
Li, J. J., Bonn, M. A., & Ye, B. H. (2019). Hotel employees’ artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172–181. https://doi.org/10.1016/j.tourman.2019.02.006
Lu, C., Berchoux, C., Marek, M. W., & Chen, B. (2015). Service quality and customer satisfaction: Qualitative research implications for luxury hotels. International Journal of Culture, Tourism and Hospitality Research. https://doi.org/10.1108/IJCTHR-10-2014-0087
Mehrotra, A. (2019). Artificial intelligence in financial services—Need to blend automation with human touch [Paper presentation]. 2019 International Conference on Automation, Computational and Technology Management (ICACTM) (pp. 342–347). IEEE. https://doi.org/10.1109/ICACTM.2019.8776741
Murphy, M. (2017). A mind of its own: Humanity is already losing control of artificial intelligence and it could spell disaster for our species, warn experts. The Sun (UK ed.). https://www.thesun.co.uk/tech/3306890/humanityis-already-losing-control-of-artificial-intelligence-and-it-could-spell-disaster-for-our-species/
Neuhofer, B., Magnus, B., & Celuch, K. (2020). The impact of artificial intelligence on event experiences: A scenario technique approach. Electronic Markets, 31, 601–617. https://doi.org/10.1007/s12525-020-00433-4
Padlee, S. F., Thaw, C. Y., & Zulkiffli, S. N. A. (2019). The relationship between service quality, customer satisfaction and behavioral intentions in the hospitality industry. Tourism and Hospitality Management, 25(1), 1–19. https://doi.org/10.20867/thm.25.1.9
Paschen, J., Wilson, M., & Ferreira, J. J. (2020). Collaborative intelligence: How human and artificial intelligence create value along the B2B sales funnel. Business Horizons, 63(3), 403–414. https://doi.org/10.1016/j.bushor.2020.01.003
Pham, T. S. H., & Ahammad, M. F. (2017). Antecedents and consequences of online customer satisfaction: A holistic process perspective. Technological Forecasting and Social Change, 124, 332–342. https://doi.org/10.1016/j.techfore.2017.04.003
Prentice, C., Lopes, S. D., & 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.
Qian, C., Lu, Y., Gong, Y., & Xiong, J. (2023). Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty. Internet Research, 33. https://doi.org/10.1108/INTR-09-2021-0686
Ramaswamy, S. (2017, April). How companies are already using AI. Harvard Business Review. https://hbr.org/2017/04/how-companies-are-already-using-ai
Richter, N. F., Cepeda-Carrion, G., & Roldán Salgueiro, J. L. (2016). European management research using partial least squares structural equation modeling (PLS-SEM). European Management Journal, 34(6), 589–597.
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/j.heliyon.2019.e02690
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach. Pearson.
Schwab, K. (2017). The fourth industrial revolution. Currency.
Shieh, M.-D., & Yeh, Y.-E. (2013). Developing a design support system for the exterior form of running shoes using partial least squares and neural networks. Computers & Industrial Engineering, 65(4), 704–718.
Shukla, S., & Vijay, J. (2013). Applicability of artificial intelligence in different fields of life. International Journal of Scientific Engineering and Research, 1(1), 28–35.
Statista. (2021a). Global information technology industry forecast 2019–2021, by region. https://www.statista.com/statistics/507365/worldwide-information-technology-industry-by-region/
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
Ullah, A. (2025). The effect of artificial intelligence (AI) on customer satisfaction: A review of Bangladesh perspective. International Journal of Science, Technology and Society, 13(2), 54–60. https://doi.org/10.11648/j.ijsts.20251302.13
Ullah, A., Uddin, M. N., & Oni, M. F. N. (2021). Customers’ perception of superstore retail organization: A descriptive study on Shwapno. Sumerianz Journal of Business Management and Marketing, 4(4), 122–126. https://doi.org/10.47752/sjbmm.44.122.126
Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo arigato Mr. Roboto: Emergence of automated social presence in organizational frontlines and customers’ service experiences. Journal of Service Research, 20(1), 43–58. https://doi.org/10.1177/1094670516679272
Xu, Y., Shieh, C.-H., van Esch, P., & Ling, I.-L. (2020). AI customer service: Task complexity, problem-solving ability, and usage intention. Australasian Marketing Journal, 28(4), 189–199. https://doi.org/10.1016/j.ausmj.2020.03.005
Yeo, S. F., Tan, C. L., Kumar, A., Tan, K. H., & Wong, J. K. (2022). Investigating the impact of AI-powered technologies on Instagrammers’ purchase decisions in the digitalization era: A study of the fashion and apparel industry. Technological Forecasting and Social Change, 177, 121551. https://doi.org/10.1016/j.techfore.2022.121551
