Exploring the Quality Dimensions of Chatbots From the User Perspective: Evidence From the Banking Sector

Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 132, 103978. https://doi.org/10.1016/j.ijmedinf.2019.103978

Almansor, E. H., & Hussain, F. K. (2020). Survey on intelligent chatbots: State-of-the-art and future research directions BT - complex, intelligent, and software-intensive systems. In L. Barolli, F. K. Hussain, & M. Ikeda (Eds.), Conference on Complex, Intelligent, and Software Intensive Systems (pp. 534–543). Springer International Publishing.

Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473

Bahri Ammari, N., Hsouna, A., Benabdallah, M., Yousaf, A., & Mishra, A. (2021). Consumer responses to the failure of self-service banking technology: moderating role of failure stability. International Journal of Bank Marketing, 40(3), 458–483. https://doi.org/10.1108/IJBM-05-2021-0192

Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530–545. http://www.jstor.org/stable/2631354

Borsci, S., Malizia, A., Schmettow, M., Velde, F. Van Der, & Tariverdiyeva, G. (2022). The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents. Personal and Ubiquitous Computing, 26, 95–119. https://doi.org/10.1007/s00779-021-01582-9

Calhoun, D., & Lee, S. B. (2019). Computer usage and cognitive capability of older adults: Analysis of data from the Health and Retirement Study. Educational Gerontology, 45(1), 22–33. https://doi.org/10.1080/03601277.2019.1575026

Carson, D., Gilmore, A., Perry, C., & Gronhaug, K. (2001). Qualitative marketing research (First Edit). Sage Publications, London. https://doi.org/10.4135/9781849209625

Chen, J. S., Le, T. T. Y., & Florence, D. (2021). Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. International Journal of Retail and Distribution Management, 49(11), 1512–1531. https://doi.org/10.1108/IJRDM-08-2020-0312

Cho, W., Lee, K. Y., & Yang, S.-B. (2019). What makes you feel attached to smartwatches? The stimulus–organism–response (S–O–R) perspectives. Information Technology & People, 32(2), 319–343. https://doi.org/10.1108/ITP-05-2017-0152

Chung, K., & Park, R. C. (2019). Chatbot-based heathcare service with a knowledge base for cloud computing. Cluster Computing, 22(S1), 1925–1937. https://doi.org/10.1007/s10586-018-2334-5

Chung, M., Ko, E., Joung, H., & Kim, S. J. (2020). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117, 587–595. https://doi.org/10.1016/j.jbusres.2018.10.004

Ciechanowski, L., Przegalinska, A., Magnuski, M., & Gloor, P. (2019). In the shades of the uncanny valley: An experimental study of human–chatbot interaction. Future Generation Computer Systems, 92, 539–548. https://doi.org/10.1016/j.future.2018.01.055

Conklin, J. H., Gotterer, M. H., & Rickman, J. (1982). On-line terminal response time: The effects of background activity. Information & Management, 5(3), 169–173. https://doi.org/10.1016/0378-7206(82)90023-4

Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60

Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K. (2014). Is that a bot running the social media feed ? Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers in Human Behavior Journal, 33, 372–376. https://doi.org/10.1016/j.chb.2013.08.013

Eren, B. A. (2021a). 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

Eren, B. A. (2021b). Sanal bankacılık müşteri asistanlarına ilişkin hizmet kalitesinin müşteri güveni, müşteri tatmini ve müşteri sadakatine etkisi ve ağızdan ağıza iletişim. Pazarlama ve Pazarlama Araştırmaları Dergisi, 14, 239-283. https://doi.org/10.15659/ppad.14.2.251

Fiore, D., Baldauf, M., & Thiel, C. (2019). “Forgot your password again?”: Acceptance and user experience of a chatbot for in-company IT support. Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia, 26-29 November 2019, Pisa, Italy (pp. 1-11). https://doi.org/10.1145/3365610.3365617

Følstad, A., & Brandtzaeg, P. B. (2017). Chatbots and the New World of HCI. Interactions, 24(4), 38–42. https://doi.org/10.1145/3085558

Gartner. (2018). Gartner says 25 percent of customer service operations will use virtual customer assistants by 2020. 24.06.2022, https://www.gartner.com/en/newsroom/press-releases/2018-02-19-gartner-says-25-percent-of-customer-service-operations-will-use-virtual-customer-assistants-by-2020

Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., & Singh, R. (2016). Social media marketing efforts of luxury brands : Influence on brand equity and consumer behavior. Journal of Business Research, 69(12), 5833-5841 . https://doi.org/10.1016/j.jbusres.2016.04.181

Haugeland, I. K. F., Følstad, A., Taylor, C., & Bjørkli, C. A. (2022). Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design. International Journal of Human-Computer Studies, 161(3), 102788. https://doi.org/10.1016/j.ijhcs.2022.102788

ISO. (2018). ISO 9241-11:2018 Ergonomics of human-system interaction — Part 11: Usability: Definitions and concepts.

Juniper Research (2018). How chatbots will transform the retail industry. 24.06.2022, https://www.brand-news.it/wp-content/uploads/2018/07/How-Chatbots-Will-Transform-The-Retail-Industry-whitepaper.pdf

Juniper Research (2019). Bank cost savings via chatbots to reach $7.3 billion by 2023, as automated customer experience evolves. 20.06.2022, https://www.juniperresearch.com/press/press-releases/bank-cost-savings-via-chatbots-reach-7-3bn-2023

Kinnear, T. C., & Taylor, J. R. (1996). Marketing Research: An Applied Approach (Fourth edit.). Mc Graw-Hill.

Kolbe, R. H., & Burnett, M. S. (1991). Content-analysis research: An examination of applications with directives for improving research reliability and objectivity. Journal of Consumer Research, 18(2), 243–250. http://www.jstor.org/stable/2489559

Kumar, M. N., Chandar, P. C. L., Prasad, A. V, & Sumangali, K. (2016). Android based educational chatbot for visually impaired people. 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 15-17 December 2016, Chennai, India, (pp. 1–4). https://doi.org/10.1109/ICCIC.2016.7919664

Kushwaha, A. K., Kumar, P., & Kar, A. K. (2021). What impacts customer experience for B2B enterprises on using AI-enabled chatbots? Insights from Big data analytics. Industrial Marketing Management, 98, 207–221. https://doi.org/10.1016/j.indmarman.2021.08.011

Lee, H. S., Park, Y. J., & Park, S. W. (2019). The effects of virtual reality training on function in chronic stroke patients: A systematic review and meta-analysis. BioMed Research International, 2019, 7595639. https://doi.org/10.1155/2019/7595639

Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from Chinese online travel agencies. Electronic Markets, 31, 575–599. https://doi.org/10.1007/s12525-020-00454-z

Li, Y., Grandison, T., Silveyra, P., Douraghy, A., Guan, X., Kieselbach, T., Li, C., & Zhang, H. (2020). Jennifer for COVID-19: An NLP-Powered Chatbot Built for the People and by the People to Combat Misinformation. In Proceedings of the 1st Workshop on NLP for COVID-19 at Association for Computational Linguistics 2020. July, 2020, Online.

Lind, M., & Salomonson, N. (2006). The role of virtual servants in e-interaction. First International Pragmatic Web Conference, 21-23 September 2006, Stuttgart, Germany, (pp.124–138).

Lui, A., & Lamb, G. W. (2018). Artificial intelligence and augmented intelligence collaboration : regaining trust and confidence in the financial sector. Information & Communications Technology Law, 27(3), 267–283. https://doi.org/10.1080/13600834.2018.1488659

Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947. https://doi.org/10.1287/mksc.2019.1192

Mckinney, V., Yoon, K., & Zahedi, F. (2002). The measurement of web-customer satisfaction : An expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315. https://doi.org/10.1287/isre.13.3.296.76

Mohr, J. J., & Sohi, R. S. (1995). Communication flows in distribution channels: Impact on assessments of communication quality and satisfaction. Journal of Retailing, 71(4), 393–415. https://doi.org/10.1016/0022-4359(95)90020-9

Mulyono, J. A., & Sfenrianto, S. (2022). Evaluation of Customer Satisfaction on Indonesian Banking Chatbot Services During the COVID-19 Pandemic. CommIT (Communication and Information Technology) Journal, 16(1), 69-85.

Muntinga, D., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for Brand-Related social media use. International Journal of Advertising, 30(1), 13–46. https://doi.org/10.2501/IJA30-1-013-046

Nguyen, D. M., Chiu, Y. T. H., & Le, H. D. (2021). Determinants of continuance intention towards banks’ chatbot services in Vietnam: A necessity for sustainable development. Sustainability (Switzerland), 13(14), 1–24. https://doi.org/10.3390/su13147625

Parasuraman, A., Zeithaml, V. A., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64, 12–40.

Radziwill, N., & Benton, M. (2017). Evaluating Quality of Chatbots and Intelligent Conversational Agents. Software Quality Professional, 19(3), 25. https://doi.org/10.48550/arXiv.1704.04579

Rapp, A., Curti, L., & Boldi, A. (2021). The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies, 151, 102630. https://doi.org/10.1016/j.ijhcs.2021.102630

Rhim, J., Kwak, M., Gong, Y., & Gweon, G. (2022). Computers in Human Behavior Application of humanization to survey chatbots : Change in chatbot perception, interaction experience, and survey data quality. Computers in Human Behavior, 126, 107034. https://doi.org/10.1016/j.chb.2021.107034

Ritchie, J., & Lewis, J. (2003). Qualitative Research Practice—A Guide for Social Science Students and Researchers. (First edit.). London, Thousand Oaks, CA: Sage Publications Ltd.

Russell, R. S., & Taylor, B. W. (2011). Operations management: Creating value along the supply chain (Seventh edit). John Wiley and Sons, Inc.

Şimşek, H., & Yıldırım, A. (2011). Sosyal bilimlerde nitel araştırma yöntemleri (Eighth edit.). Seçkin Yayıncılık.

Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers and Education, 151, 103862. https://doi.org/10.1016/j.compedu.2020.103862

Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900. https://doi.org/10.1016/j.jretconser.2021.102900

Suhel, S. F., Shukla, V. K., Vyas, S., & Mishra, V. P. (2020). Conversation to automation in banking through chatbot using artificial machine intelligence language. 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 4-5 June 2020, Noida, India, (pp. 611–618). https://doi.org/10.1109/ICRITO48877.2020.9197825

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. https://doi.org/10.1080/15332861.2019.1567188

Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33. https://doi.org/10.1080/07421222.1996.11518099

Wu, C. G., & Ho, J. C. (2022). The influences of technological characteristics and user beliefs on customers’ perceptions of live chat usage in mobile banking. International Journal of Bank Marketing, 40(1), 68–86. https://doi.org/10.1108/IJBM-09-2020-0465

Yarimoglu, E. K. (2014). A Review on Dimensions of Service Quality Models. Journal of Marketing Management, 2(2), 79–93.