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Managing Customer Trust and Satisfaction on Chatbots in the Retail Industry | ||
| Journal of Information Technology Management | ||
| دوره 16، شماره 1، 2024، صفحه 217-236 اصل مقاله (1.73 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2024.96692 | ||
| نویسندگان | ||
| Mohd Farid Shamsudin* 1؛ Affendy Abu Hassim2؛ GholamReza Zandi2؛ Siti Aisyah Esa3 | ||
| 1Universiti Kuala Lumpur Business School, 54000 Jalan Gurney Kuala Lumpur, Malaysia. | ||
| 2Associate Professor, Universiti Kuala Lumpur Business School, 54000 Jalan Gurney Kuala Lumpur, Malaysia. | ||
| 3Senior Lecturer, Universiti Kuala Lumpur Business School, 54000 Jalan Gurney Kuala Lumpur, Malaysia. | ||
| چکیده | ||
| This study investigates the relationship between the user interface and problem-solving towards the continuous intention to use the services. New products or services will always face tough challenges for the customer, especially when the new procedures require them to learn and change some behaviors. Chatbots are also facing the same situation in Malaysia, where customers refuse to accept using chatbots to represent their physical presence. To understand customer behaviors, a quantitative survey was designed. Four hundred twenty-two data were collected from the online survey method. As per the results, the predictors of chatbot continuous intention are user interface and problem-solving. Apart from that, this study also measures the role of mediator, namely trust and customer satisfaction. This study contributes to unique academic and practical insights that can be used to explore the effectiveness of chatbots. The results revealed that both predictors were significant towards the continuous intentions. Besides, the role of the mediator was found to be significant and relevant in the relationship between trust and customer satisfaction and customer satisfaction and trust towards continuous attention. | ||
| کلیدواژهها | ||
| Chatbots؛ User interface؛ Problem-solving؛ Intention | ||
| مراجع | ||
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Al Qudah, D. A., Al-Shboul, B., Al-Zoubi, A., Al-Sayyed, R., & Cristea, A. I. (2020). Investigating users' experience on social media ads: Perceptions of young users. Heliyon, 6(7), e04378. https://doi.org/10.1016/j.heliyon.2020.e04378.
Battour, M., Mady, K., Salaheldeen, M., Elsotouhy, M., Elbendary, I., & Boğan, E. (2022). AI-enabled technologies to assist Muslim tourists in Halal-friendly tourism. Journal of Islamic Marketing. Advance online publication. https://doi.org/10.1108/JIMA-01-2022-0001.
Cheng, Y., & Jiang, H. (2022). Customer-brand relationship in the era of artificial intelligence: Understanding the role of chatbot marketing efforts. Journal of Product & Brand Management, 31(2), 252–264. https://doi.org/10.1108/JPBM-05-2020-2907.
De Cicco, R., e Silva, S. C., & Alparone, F. R. (2020). Millennials' attitude toward chatbots: An experimental study in a social relationship perspective. International Journal of Retail & Distribution Management, 48(11), 1213–1233. https://doi.org/10.1108/IJRDM-12-2019-0406.
Eren, B. A. (2021). Determinants of customer satisfaction in chatbot use: Evidence from a banking application in Turkey. International Journal of Bank Marketing, 39(2), 294–311. https://doi.org/10.1108/IJBM-02-2020-0056.
Fan, H., Han, B., Gao, W., & Li, W. (2022). How AI chatbots have reshaped the frontline interface in China: Examining the role of sales–service ambidexterity and the personalization–privacy paradox. International Journal of Emerging Markets, 17(4), 967–986. https://doi.org/10.1108/IJOEM-04-2021-0532.
Hentzen, J. K., Hoffmann, A., Dolan, R., & Pala, E. (2022). Artificial intelligence in customer-facing financial services: A systematic literature review and agenda for future research. International Journal of Bank Marketing, 40(6), 1299–1336. https://doi.org/10.1108/IJBM-09-2021-0417.
Hsiao, K. L., & Chen, C. C. (2022). What drives continuance intention to use a food-ordering chatbot? An examination of trust and satisfaction. Library Hi Tech, 40(4), 929–946. https://doi.org/10.1108/LHT-08-2021-0274.
Jiménez-Barreto, J., Rubio, N., & Molinillo, S. (2021). "Find a flight for me, Oscar!" Motivational customer experiences with chatbots. International Journal of Contemporary Hospitality Management, 33(11), 3860–3882. https://doi.org/10.1108/IJCHM-10-2020-1244.
Magno, F., & Dossena, G. (2022). The effects of chatbots' attributes on customer relationships with brands: PLS-SEM and importance-performance map analysis. Total Quality Management & Business Excellence. Advanced online publication. https://doi.org/10.1108/TQM-02-2022-0080.
Nguyen, T. T. N. (2020). Developing and validating a five-construct model of customer satisfaction in beauty and cosmetic E-commerce. Heliyon, 6(9), e04887. https://doi.org/10.1016/j.heliyon.2020.e04887.
Omoge, A. P., Gala, P., & Horky, A. (2022). Disruptive technology and AI in the banking industry of an emerging market. International Journal of Bank Marketing, 40(6), 1217–1247. https://doi.org/10.1108/IJBM-09-2021-0403.
Pal, D., Roy, P., Arpnikanondt, C., & Thapliyal, H. (2022). The effect of trust and its antecedents towards determining users' behavioral intention with voice-based consumer electronic devices. Heliyon, 8(4), e09271. https://doi.org/10.1016/j.heliyon.2022.e09271.
Pitardi, V., Wirtz, J., Paluch, S., & Kunz, W. H. (2022). Service robots, agency, and embarrassing service encounters. Journal of Service Management, 33(2), 389–414. https://doi.org/10.1108/JOSM-12-2020-0435.
Rakib, M. R. H. K., Pramanik, S. A. K., Al Amran, M., Islam, M. N., & Sarker, M. O. F. (2022). Factors affecting young customers' smartphone purchase intention during the Covid-19 pandemic. Heliyon, 8(9), e10599. https://doi.org/10.1016/j.heliyon.2022.e10599.
Rana, J., Gaur, L., Singh, G., Awan, U., & Rasheed, M. I. (2022). Reinforcing customer journey through artificial intelligence: A review and research agenda. International Journal of Emerging Markets, 17(7), 1738–1758. https://doi.org/10.1108/IJOEM-08-2021-1214.
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.
Sidaoui, K., Jaakkola, M., & Burton, J. (2020). AI Feel you: Customer experience assessment via chatbot interviews. Journal of Service Management, 31(4), 745–766. https://doi.org/10.1108/JOSM-11-2019-0341.
Sharma, K., Jain, M., & Dhir, S. (2022). Analyzing the impact of artificial intelligence on the competitiveness of tourism firms: A modified total interpretive structural modeling (m-TISM) approach. International Journal of Emerging Markets, 17(4), 1067–1084. https://doi.org/10.1108/IJOEM-05-2021-0810.
Tsai, W. H. S., Liu, Y., & Chuan, C. H. (2021). How chatbots' social presence communication enhances consumer engagement: The mediating role of parasocial interaction and dialogue. Journal of Research in Interactive Marketing, 15(3), 460–482. https://doi.org/10.1108/JRIM-12-2019-0200.
Xu, Y., Zhang, J., Chi, R., & Deng, G. (2022). Enhancing customer satisfaction with chatbots: The influence of anthropomorphic communication styles and anthropomorphized roles. Nankai Business Review International, (21). https://doi.org/10.1108/NBRI-06-2021-0041.
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آمار تعداد مشاهده مقاله: 59 تعداد دریافت فایل اصل مقاله: 103 |
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