|
Abu Shawar, B., & Atwell, E. (2007). Chatbots: Are they Really Useful? Journal for Language Technology and Computational Linguistics, 22(1). https://doi.org/10.21248/jlcl.22.2007.88
Adamopoulou, E., & Moussiades, L. (2020). An Overview of Chatbot Technology. IFIP Advances in Information and Communication Technology, 584 IFIP. https://doi.org/10.1007/978-3-030-49186-4_31
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. https://doi.org/10.1016/j.tele.2020.101473 Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6). https://doi.org/10.1037//0022-3514.51.6.1173 Battineni, G., Chintalapudi, N., & Amenta, F. (2020). Ai chatbot design during an epidemic like the novel coronavirus. Healthcare (Switzerland), 8(2). https://doi.org/10.3390/healthcare8020154
Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications: Profound change is coming, but roles for humans remain. In Science (Vol. 358, Issue 6370). https://doi.org/10.1126/science.aap8062
Cheney, T. (2006). An Acceptance Model for Useful and Fun Information Systems. Human Technology: An Interdisciplinary Journal on Humans in ICT Environments, 2(2). https://doi.org/10.17011/ht/urn.2006520
Chong, V. K. (2004). Job-relevant information and its role with task uncertainty and management accounting systems on managerial performance. Pacific Accounting Review, 16(2). https://doi.org/10.1108/01140580410818496
Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins , Developments and Future Directions. Sprouts: Working Papers on Information Systems, 9(37). https://doi.org/10.1021/jf001443p
Dale, R. (2021). GPT-3: What’s it good for? In Natural Language Engineering (Vol. 27, Issue 1). https://doi.org/10.1017/S1351324920000601
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3). https://doi.org/10.2307/249008
Holden, R. J., & Karsh, B. T. (2010). The Technology Acceptance Model: Its past and its future in health care. In Journal of Biomedical Informatics (Vol. 43, Issue 1). https://doi.org/10.1016/j.jbi.2009.07.002
Hong, S. J., Thong, J. Y. L., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3). https://doi.org/10.1016/j.dss.2006.03.009
Kim, K. J., Jeong, I. J., Park, J. C., Park, Y. J., Kim, C. G., & Kim, T. H. (2007). The impact of network service performance on customer satisfaction and loyalty: High-speed internet service case in Korea. Expert Systems with Applications, 32(3). https://doi.org/10.1016/j.eswa.2006.01.022
Liao, Y. W., Wang, Y. S., & Yeh, C. H. (2014). Exploring the relationship between intentional and behavioral loyalty in the context of e-tailing. Internet Research, 24(5). https://doi.org/10.1108/IntR-08-2013-0181
Lin, T. C., Wu, S., Hsu, J. S. C., & Chou, Y. C. (2012). The integration of value-based adoption and expectation-confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1). https://doi.org/10.1016/j.dss.2012.04.004
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries? In Library Hi Tech News. https://doi.org/10.1108/LHTN-01-2023-0009
Masrom, M. (2007). Technology acceptance model and E-learning. 12th International Conference on Education, May. Rahman, M. M., Lesch, M. F., Horrey, W. J., & Strawderman, L. (2017). Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. Accident Analysis and Prevention, 108, 361–373. https://doi.org/10.1016/j.aap.2017.09.011
Rayna et al. as cited in Jones, N. (2020). User Loyalty and Willingness to Pay for a Music Streaming Subscription Identifying Asset Specificity in the Case of Streaming Platforms. Duke University.
Roose, K. (2022). The Brilliance and Weirdness of ChatGPT. New York Times.
Simmons, A. B., & Chappell, S. G. (1988). Artificial Intelligence-definition and Practice. IEEE Journal of Oceanic Engineering, 13(2). https://doi.org/10.1109/48.551
Sohn, K., & Kwon, O. (2020). Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products. Telematics and Informatics, 47. https://doi.org/10.1016/j.tele.2019.101324
Tang, K. Y., Chang, C. Y., & Hwang, G. J. (2021). Trends in artificial intelligence-supported e-learning: a systematic review and co-citation network analysis (1998–2019). In Interactive Learning Environments. Routledge. https://doi.org/10.1080/10494820.2021.1875001
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2). https://doi.org/10.1287/mnsc.46.2.186.11926
Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2). https://doi.org/10.1086/651257
|