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The quality of service and user satisfaction of airline chatbots

Mariae Khrisna Baring Arreza

Abstract


Chatbots have shown to be a viable alternative to customer service agents in addressing customer questions and concerns. The airline sector has developed chatbots to meet the needs of their customers. In this paper, the study presents findings from a questionnaire involving 417 chatbot users. The assessment revealed that the quality of the airline chatbot service was deemed good, and users were satisfied with the airline chatbot service. This study also tested the relationship between the variables of the study. The outcomes revealed a significant relationship between users' profiles and the quality of the service provided by the chatbot. A significant relationship manifested between the users' profile and their satisfaction with the airline chatbot service. The results also discover a highly significant relationship between the quality of airline chatbot service and the users' satisfaction. Drawing on the findings, Developers should enhance chatbots to provide better service and boost customer satisfaction.


Keywords


Airline Chatbot, Quality, Satisfaction

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References


Adam, M., Wessel, M., & Benlian, A. (2020). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets. Published.

Alotaibi, R., Ali, A., Alharthi, H., & Almehamdi, R. (2020). AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia. International Journal of Interactive Mobile Technologies (IJIM), 14(19), 18.

Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114, 106548.

Cheng,Y., & Jiang, H., (2020). How Do AI-driven Chatbots Impact User Experience? Examining Gratifications, Perceived Privacy Risk, Satisfaction, Loyalty, and Continued Use, Journal of Broadcasting & Electronic Media, DOI: 10.1080/08838151.2020.1834296

Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (create). Psychology and Aging, 21(2), 333–352

Czaja, S. J., & Lee, C. C. (2007). The impact of aging on access to technology. ACM SIGACCESS Accessibility and Computing, 5(4), 341–349.

Daqar, M. A. A., & Smoudy, A. K. A. (2019). The Role of Artificial Intelligence on Enhancing Customer Experience. International Review of Management and Marketing, 9(4), 22–31.

Dash, M., & Bakshi, S. (2019). An Exploratory Study of Customer Perceptions of Usage of Chatbots in the Hospitality Industry.International Journal on Customer Relations, 7(2), 27–33.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2019). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

Fristedt S, Svärdh S, Löfqvist C, Schmidt SM, Iwarsson S (2021) “Am I representative (of my age)? No, I’m not”—Attitudes to technologies and technology development differ but unite individuals across rather than within generations. PLoS ONE 16(4): e0250425.

Hassani, H., Silva, E. S., Unger, S., TajMazinani, M., & Mac Feely, S. (2020). Artificial Intelligence (AI) or Intelligence Augmentation (IA): What Is the Future? AI, 1(2), 143–155.

Hayes, B. E. (2021). Measuring Customer Satisfaction And Loyalty. New Age Publication.

Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172.

Ilieska, K. (2013). Customer Satisfaction Index – as a Base for Strategic Marketing Management. TEM Journal, 2(4).

Kim, M., & Chang, B. (2020). The Effect of Service Quality on the Reuse Intention of a Chatbot: Focusing on User Satisfaction, Reliability, and Immersion. International Journal of Contents, 16(4), 1–15.

Kim, S., & Brady, J. T. (2019). A Phenomenological Study on the Information Technology Acceptance of the Korean Baby Boomer Generation. International Journal of Advanced Culture Technology, 7(4).

Lee, Y. C., Wang, Y. C., Lu, S. C., Hsieh, Y. F., Chien, C. H., Tsai, S. B., & Dong, W. (2016). An empirical research on customer satisfaction study: a consideration of different levels of performance. SpringerPlus, 5(1).

Lubbe, I., & Ngoma, N. (2021). Useful chatbot experience provides technological satisfaction: An emerging market perspective. SA Journal of Information Management, 23(1).

Mann, B. A., Smith, W. C., & Baker, D. (2017). Schooling Attainment’s Influence on Internet Adoption: Education’s Role in the Cross- National Development of the Mass-Media Knowledge Gap. FIRE: Forum for International Research in Education, 3(3).

Nguyen, T., Quach, S., & Thaichon, P. (2021). The effect of AI quality on customer experience and brand relationship. Journal of Consumer Behaviour. Published.

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.

Radziwill, N. M., & Benton, M. (2017). Evaluating Quality of Chatbots and Intelligent Conversational Agents. Cornell University Computers and Society, 1.

Rossmann, A., Zimmermann, A., & Hertweck, D. (2020). The Impact of Chatbots on Customer Service Performance. Advances in Intelligent Systems and Computing, 237–243.

S. (2021, April 15). Cebu Pacific accelerates digital transformation, to end PH call center. Sunstar.https://www.sunstar.com.ph/article/1891744/Cebu/Business/Cebu-Pacific-accelerates-digital-transformation-to-end-PH-call-center?ref=rss&format=simple&link=link

Sanny, L., Susastra, A. C., Roberts, C., & Yusramdaleni, R. (2020). The analysis of customer satisfaction factors which influence chatbot acceptance in Indonesia. Management Science Letters, 1225–1232.

Skjuve, M., Følstad, A., Fostervold, K. I., & Brandtzaeg, P. B. (2021). My Chatbot Companion - a Study of Human-Chatbot Relationships. International Journal of Human-Computer Studies, 149, 102601.

Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862.

Soomro, K. A., Kale, U., Curtis, R., Akcaoglu, M., & Bernstein, M. (2020). Digital divide among higher education faculty. International Journal of Educational Technology in Higher Education, 17(1).

Stanford University. (n.d.). The digital divide. Retrieved July 30, 2021, from https://cs.stanford.edu/people/eroberts/cs181/projects/digital-divide/start.html.

Sureshchandar, G., Rajendran, C., & Anantharaman, R. (2002). The relationship between service quality and customer satisfaction – a factor specific approach. Journal of Services Marketing, 16(4), 363–379.

Tuchen, S., Arora, M., & Blessing, L. (2020). Airport user experience unpacked: Conceptualizing its potential in the face of COVID-19. Journal of Air Transport Management, 89, 101919

Ukpabi, D. C., Aslam, B., & Karjaluoto, H. (2019). Chatbot Adoption in Tourism Services: A Conceptual Exploration. Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality, 105–121.

Um, T., Kim, T., & Chung, N. (2020). How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services? Sustainability, 12(12), 5119.

Verganti, Roberto, Luca Vendraminelli, & Marco Iansiti (2020). "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091,

Yao, R., Song, S., Li, Q., Wang, C., Chen, H., Chen, H., & Zeng, D. D. (2020). Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce. Proceedings of the AAAI Conference on Artificial Intelligence, 34(10), 13973–13974.


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DOI: http://dx.doi.org/10.22334/jbhost.v8i1.346

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