The Impact of Chatgpt on Customer Experience in Digital Marketing

Authors

  • Zeynab Dehnavi * Department of Management, Karaj Branch, Islamic Azad University, Karaj, Iran.

https://doi.org/10.22105/tqfb.v1i1.29

Abstract

ChatGPT is an AI model designed for conversational purposes. This field has gained significant popularity in digital marketing, providing organizations with a vital tool for interacting with customers and enhancing their marketing efforts. The primary objective of this research is to examine the impact of ChatGPT on customer experience in digital marketing. Additionally, this study aims to investigate the moderating effects of business type, familiarity and comfort with technology on customer experience. Furthermore, the research explores the moderating roles of gender, age, and education level. Data for this study was collected electronically from 394 customers who interacted with ChatGPT in digital marketing using an open-access questionnaire. The results confirm the importance of the moderating role of familiarity and comfort with technology, business type, age, and education level in the relationship between customer experience with ChatGPT and Overall Satisfaction (OS) with digital marketing, while gender has no significant impact. The findings of this paper contribute to the existing literature on the use of conversational AI models in digital marketing and customer experience, providing insights and recommendations for future research. 

Keywords:

ChatGPT, Chatbot, Digital marketing, Marketing, Consumer behavior

References

  1. [1] ‎[1] ‎ Safavi, S. A., & Aghamohammadi, A. (2022). Identifying and prioritizing effective factors in branding ‎through artificial intelligence in the direction of tourism. The first national conference of future day, future ‎city, Tehran, Iran. Civilica. (In Persian).‎‏ ‏DOI: https://civilica.com/doc/1764477/‎

  2. [2] ‎[2] ‎ Misrahi, R. (2023). Investigating the impact of artificial intelligence on the subjective norm and ‎consumer purchase intention in the online retail industry. The fifth international conference on ‎management, accounting, economics and banking, Tehran, Iran. Civilica. (In Persian). ‎https://civilica.com/doc/1763876/‎

  3. [3] ‎[3] ‎ Navaei, M., & Pahlavanzadeh, M. (2023). The impact of artificial intelligence on human resources: a ‎perspective on human resource management in the digital era. The 10th international conference on new ‎researches in psychology, social sciences, educational and educational sciences, Tehran, Iran. Civilica‏.‏‎ (In ‎Persian). https://civilica.com/doc/1762064/‎

  4. [4] ‎[4] ‎ Badri, A,. & Sohabi, M. (2023). The impact of artificial intelligence in electronic education. The 10th ‎international conference on new researches in psychology, social sciences, educational and educational sciences, ‎Tehran, Iran. Civilica. (In Persian). https://civilica.com/doc/1762013/‎

  5. [5] ‎[5] ‎ Hashemi, S. E., & Shamsi, M. (2022). The impact of artificial intelligence on technology, innovation ‎and business development. The second national conference of the scientific association of technology parks and ‎innovation organization of iran, Tehran, Iran. Civilica. (In Persian). https://civilica.com/doc/1757616/‎

  6. [6] ‎[6] ‎ Karamipour, M. (2023). Designing and explaining the model of artificial intelligence competencies on ‎organizational performance considering B2B marketing capabilities. Journal of value creating in business ‎management, 3(2), 20-41. (In Persian). DOI:10.22034/jvcbm.2023.389185.1069‎

  7. [7] ‎[7] ‎ Kolivand, A., Ahmadvand, F., & Khodarahmi, A. (2023). Investigating the application and algorithms ‎of artificial intelligence in different industries and services. The 20th national conference on computer ‎science and engineering and information technology, Tehran, Iran. Civilica. (In Persian). ‎https://civilica.com/doc/1755708/‎

  8. [8] ‎[8] ‎ Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: bullshit spewer or the end of traditional assessments in ‎higher education? Journal of applied learning and teaching, 6(1), 342–363. DOI:10.37074/jalt.2023.6.1.9‎

  9. [9] ‎[9] ‎ Abdelkader, O. A. (2023). ChatGPT’s influence on customer experience in digital marketing: ‎investigating the moderating roles. Heliyon, 9(8). DOI:10.1016/j.heliyon.2023.e18770‎

  10. [10] ‎[10] ‎ Taecharungroj, V. (2023). “What can ChatGPT do?” Analyzing early reactions to the innovative AI ‎Chatbot on Twitter. Big data and cognitive computing, 7(1), 35. DOI:10.3390/bdcc7010035‎

  11. [11] ‎[11] ‎ Chen, C., & Chen, F. (2021). Chatbots and customer experience: an empirical investigation. Journal of ‎interactive marketing, 56, 101–113. https://doi.org/10.1016/j.intmar.2021.01.005‎

  12. [12] ‎[12] ‎ Gordijn, B., & Have, H. T. (2023). ChatGPT: evolution or revolution? Medicine, health care and philosophy, ‎‎26(1), 1–2. https://link.springer.com/article/10.1007/s11019-023-10136-0‎

  13. [13] ‎[13] ‎ Gilson, A., Safranek, C. W., Huang, T., Socrates, V., Chi, L., Taylor, R. A., & Chartash, D. (2023). How ‎does ChatGPT perform on the United States Medical Licensing Examination (USMLE)? The ‎implications of large language models for medical education and knowledge assessment. JMIR medical ‎education, 9(1), e45312. https://mededu.jmir.org/2023/1/e45312/‎

  14. [14] ‎[14] ‎ Liu, K., & Huang, L. (2021). The effect of chatbots on customer experience in the era of artificial ‎intelligence. Journal of hospitality and tourism technology, 12(1), 133–151.‎

  15. [15] ‎[15] ‎ Rospigliosi, P. A. (2023). Artificial intelligence in teaching and learning: what questions should we ask ‎of ChatGPT?. Interactive learning environments, 31(1), 1-3.‎

  16. [16] ‎[16] ‎ Abdelkader, O. (2021). Impacts of perceived-value and key features of distance education on ‎marketing-students’ overall-satisfaction. Elementary education online, 20(4), 3232–3244.‎

  17. [17] ‎[17] ‎ Liu, C., & Lee, C. (2020). Chatbots in marketing: overview, classification, and recommendations for ‎future research. Journal of business research, 109, 340–351.‎

  18. [18] ‎[18] ‎ Li, X., Liang, L., & Li, D. (2020). A review of chatbot applications in customer service. Journal of service ‎theory and practice, 30(4), 554–568.‎

  19. [19] ‎[19] ‎ Khosravi, S., & Mozafari, M. (2023). An interdisciplinary review of artificial intelligence and human ‎resource management. The first international conference of computer engineering, electricity and technology, ‎Tehran, Iran. Civilica. (In Persian). https://civilica.com/doc/1758255/‎

  20. [20] ‎[20] ‎ Klang, E., & Levy-Mendelovich, S. (2023). Evaluation of OpenAI’s large language model as a new tool ‎for writing papers in the field of thrombosis and hemostasis. Journal of thrombosis and haemostasis, 21(4), ‎‎1055–1058. DOI:10.1016/j.jtha.2023.01.011‎

  21. [21] ‎[21] ‎ Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: ‎a study on features, abilities, and challenges. BenchCouncil transactions on benchmarks, standards and ‎evaluations, 2(4), 100089. DOI:10.1016/j.tbench.2023.100089‎

  22. [22] ‎[22] ‎ Zhang, L., & Zhu, Y. (2020). Chatbot service quality, customer satisfaction, and loyalty: the moderating ‎role of service type. Journal of service theory and practice, 30(5), 646–663.‎

  23. [23] ‎[23] ‎ Yeo-Teh, N. S. L., & Tang, B. L. (2023). Letter to editor: NLP systems such as ChatGPT cannot be listed ‎as an author because these cannot fulfill widely adopted authorship criteria. Accountability in research, ‎‎31(7), 968–970. DOI:10.1080/08989621.2023.2177160‎

  24. [24] ‎[24] ‎ Yoo, Y., & Kim, Y. (2020). Understanding the influence of chatbots on customer experience: an ‎empirical study. Journal of interactive marketing, 51, 27–41. https://doi.org/ 10.1016/j.intmar.2019.08.004‎

  25. [25] ‎[25] ‎ Aljasser, I. A., & Sasidhar, B. (2016). Bank customers’ perception of service quality and customer ‎satisfaction in Saudi Arabia. European journal of business and social sciences, 4(11), 130–141.‎

  26. [26] ‎[26] ‎ Siswi, R. H., & Wahyono, B. (2020). The impact of chatbots on customer loyalty: a systematic literature ‎review. Journal of theoretical and applied electronic commerce research‏ ‏‎, 15(3), 119–134.‎

  27. [27] ‎[27] ‎ Wirtz, J., Kunz, W. H., Hartley, C., & Tarbit, I. (2022). Chatbots in the service of customers: a review ‎and research agenda. Journal of service management, 33(1), 1–31.‎

  28. [28] ‎[28] ‎ Azhdrian Moghadam, M. & Rajaei, Z. (2023). Artificial intelligence in marketing. The 8th international ‎conference on industry-oriented management, economics and accounting studies, Tehran, Iran. Civilica. (In ‎Persian). https://civilica.com/doc/1758768/‎

  29. [29] ‎[29] ‎ Trivedi, J. (2019). Examining the customer experience of using banking chatbots and its impact on ‎brand love: the moderating role of perceived risk. Journal of internet commerce, 18(1), 91–111. ‎DOI:10.1080/15332861.2019.1567188‎

  30. [30] ‎[30] ‎ Gnewuch, U., Morana, S., Adam, M. T. P., & Maedche, A. (2022). Opposing effects of response time in ‎human–chatbot interaction: the moderating role of prior experience. Business and information systems ‎engineering, 64(6), 773–791. DOI:10.1007/s12599-022-00755-x

  31. [31] ‎[31] ‎ Dowling, M., & Lucey, B. (2023). ChatGPT for (Finance) research: the Bananarama conjecture. Finance ‎research letters, 53, 103662. DOI:10.1016/j.frl.2023.103662‎

  32. [32] ‎[32] ‎ Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). ‎What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart ‎learning environments, 10(1), 15. DOI:10.1186/s40561-023-00237-x

Published

2024-09-10

How to Cite

Dehnavi, Z. . (2024). The Impact of Chatgpt on Customer Experience in Digital Marketing. Transactions on Quantitative Finance and Beyond, 1(1), 90-102. https://doi.org/10.22105/tqfb.v1i1.29

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