Virtual agents and flow experience: an empirical examination of AI-powered chatbots
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior scholarships suggested that interactivity is essential when designing and promoting chatbots to potential users.
“Prior scholarships [112,113] suggested that interactivity is essential when designing and promoting chatbots to potential users.”
From “Chatting with ChatGPT”: Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model (2023) · cites this paper as [112]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190 · see citing works
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941 · see citing works
Qu, X. (2007) · Technometrics · doi:10.1198/tech.2007.s455 · Cited by 14,758 · see citing works
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2074955 · Cited by 14,211 · see citing works
Multivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,258 · see citing works
Multivariate Data Analysis with Readings.
Rutherford, G. S. W., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348783 · Cited by 5,837 · see citing works
Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Edition
Byrne, B. M. (2016) · doi:10.4324/9781315757421 · Cited by 4,653 · see citing works
Flow: The Psychology of Optimal Experience
Mirvis, P. H., & Csikszentmihalyi, M. (1991) · Academy of Management Review · doi:10.2307/258925 · Cited by 3,706 · see citing works
Finding flow: the psychology of engagement with everyday life
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1828 · Cited by 3,522 · see citing works
Mohr, J. J., & Spekman, R. E. (1994) · Strategic Management Journal · doi:10.1002/smj.4250150205 · Cited by 3,472 · see citing works
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Koufaris, M. (2002) · Information Systems Research · doi:10.1287/isre.13.2.205.83 · Cited by 3,205 · see citing works
Measuring the Customer Experience in Online Environments: A Structural Modeling Approach
Novak, T. P., Hoffman, D. L., & Yung, Y. (2000) · Marketing Science · doi:10.1287/mksc.19.1.22.15184 · Cited by 3,201 · see citing works
Kim, A. J., & Ko, E. (2011) · Journal of Business Research · doi:10.1016/j.jbusres.2011.10.014 · Cited by 2,453 · see citing works
E-satisfaction and e-loyalty: A contingency framework
Anderson, R. E., & Srinivasan, S. S. (2003) · Psychology & Marketing · doi:10.1002/mar.10063 · Cited by 2,310 · see citing works
Optimal experience in work and leisure.
Csikszentmihalyi, M., & LeFevre, J. (1989) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.56.5.815 · Cited by 1,943 · see citing works
Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix
Chen, Y., & Xie, J. (2008) · Management Science · doi:10.1287/mnsc.1070.0810 · Cited by 1,853 · see citing works
Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616 · see citing works
Handbook in research and evaluation
(1971) · Behavior Therapy · doi:10.1016/s0005-7894(71)80129-6 · Cited by 1,488 · see citing works
AI-based chatbots in customer service and their effects on user compliance
Adam, M., Wessel, M., & Benlian, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00414-7 · Cited by 1,195 · see citing works
Araujo, T. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.051 · Cited by 1,156 · see citing works
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,027 · see citing works
Chatbot e-service and customer satisfaction regarding luxury brands
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.004 · Cited by 1,005 · see citing works
Flow online: lessons learned and future prospects.
Hoffman, D. L., & Novak, T. P. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.003 · Cited by 954 · see citing works
Optimal Experience: Psychological Studies of Flow in Consciousness.
Wilder, W. D., Csíkszentmihályi, M., & Csikszentmihalyi, I. S. (1989) · Man · doi:10.2307/2804304 · Cited by 937 · see citing works
Investigating the impact of social media advertising features on customer purchase intention
Alalwan, A. A. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.001 · Cited by 911 · see citing works
Self-citationArtificial intelligence in marketing: Systematic review and future research direction
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2020.100002 · Cited by 905 · see citing works
Comparative research methodology: Cross‐cultural studies
Brislin, R. W. (1976) · International Journal of Psychology · doi:10.1080/00207597608247359 · Cited by 832 · see citing works
Brandtzaeg, P. B., & Følstad, A. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-70284-1_30 · Cited by 788 · see citing works
How consumers assess the value of advertising
Ducoffe, R. H. (1995) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.1995.10505022 · Cited by 774 · see citing works
(1975) · Journal of Humanistic Psychology · doi:10.1177/002216787501500306 · Cited by 735 · see citing works
Lee, K. C., & Chung, N. (2009) · Interacting with Computers · doi:10.1016/j.intcom.2009.06.004 · Cited by 693 · see citing works
Customer service chatbots: Anthropomorphism and adoption
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.030 · Cited by 667 · see citing works
Developing a scale to measure the interactivity of websites
Liu, Y. (2003) · Journal of Advertising Research · doi:10.2501/jar-43-2-207-216 · Cited by 659 · see citing works
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.002 · Cited by 656 · see citing works
Self-citationUnderstanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636 · see citing works
The Effect of Perceived Challenges and Skills on the Quality of Subjective Experience
Moneta, G. B., & Csíkszentmihályi, M. (1996) · Journal of Personality · doi:10.1111/j.1467-6494.1996.tb00512.x · Cited by 614 · see citing works
An overview of the features of chatbots in mental health: A scoping review
Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.103978 · Cited by 605 · see citing works
Self-citationWhat influences algorithmic decision-making? A systematic literature review on algorithm aversion
Mahmud, H., Islam, A. K. M. N., Ahmed, S. I., & Smolander, K. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121390 · Cited by 601 · see citing works
Transforming the communication between citizens and government through AI-guided chatbots
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2018.10.001 · Cited by 567 · see citing works
Effects of Interactivity on Website Involvement and Purchase Intention
Jiang, Z. J., Chan, J., Tan, B. C. Y., & Chua, W. (2010) · Journal of the Association for Information Systems · doi:10.17705/1jais.00218 · Cited by 524 · see citing works
Setia, P., Venkatesh, V., & Joglekar, S. (2013) · MIS Quarterly · doi:10.25300/misq/2013/37.2.11 · Cited by 522 · see citing works
Chen, J., Le, T.-T.-Y., & Florence, D. (2021) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-08-2020-0312 · Cited by 486 · see citing works
Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization
Kim, Y. J., & Han, J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.01.015 · Cited by 454 · see citing works
Lee, T. M. (2005) · Journal of electronic commerce research · Cited by 449 · see citing works
Chatbots in retailers’ customer communication: How to measure their acceptance?
Rese, A., Ganster, L., & Baier, D. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102176 · Cited by 446 · see citing works
Zhao, L., & Lu, Y. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.05.019 · Cited by 407 · see citing works
Enter the Robot Journalist: Users' perceptions of automated content
Clerwall, C. (2014) · Journalism Practice · doi:10.1080/17512786.2014.883116 · Cited by 377 · see citing works
AI Customer Service: Task Complexity, Problem-Solving Ability, and Usage Intention
Xu, Y., Shieh, C.-H., van Esch, P., & Ling, I.-L. (2020) · Australasian Marketing Journal (AMJ) · doi:10.1016/j.ausmj.2020.03.005 · Cited by 377 · see citing works
Bressler, D. M., & Bodzin, A. M. (2013) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12008 · Cited by 368 · see citing works
What Makes Users Trust a Chatbot for Customer Service? An Exploratory Interview Study
Følstad, A., Nordheim, C. B., & Bjørkli, C. A. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01437-7_16 · Cited by 360 · see citing works
WHAT SAMPLE SIZE is "ENOUGH" in INTERNET SURVEY RESEARCH?
Hill, R. L., & Hamilton, W. P. (1998) · Cited by 359 · see citing works
CSR Performance and the Readability of CSR Reports: Too Good to be True?
Wang, Z., Hsieh, T., & Sarkis, J. (2017) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.1440 · Cited by 358 · see citing works
SuperAgent: A Customer Service Chatbot for E-commerce Websites
Cui, L., Huang, S., Wei, F., Tan, C., Duan, C., & Zhou, M. (2017) · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · doi:10.18653/v1/p17-4017 · Cited by 357 · see citing works
Optimal experience of flow enhanced by telepresence: evidence from social media use
Pelet, J.-É., Ettis, S., & Cowart, K. (2017) · Information & Management · doi:10.1016/j.im.2016.05.001 · Cited by 354 · see citing works
ERP training with a web-based electronic learning system: The flow theory perspective
Choi, D. H., Kim, J., & Kim, S. H. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.10.002 · Cited by 336 · see citing works
Trivedi, J. (2019) · Journal of Internet Commerce · doi:10.1080/15332861.2019.1567188 · Cited by 324 · see citing works
Sharma, A., Dwivedi, Y. K., Arya, V., & Siddiqui, M. Q. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106919 · Cited by 306 · see citing works
Examining users′ intention to continue using social network games: A flow experience perspective
Chang, C. (2012) · Telematics and Informatics · doi:10.1016/j.tele.2012.10.006 · Cited by 284 · see citing works
Allal‐Chérif, O., Aránega, A. Y., & Sánchez, R. C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120822 · Cited by 284 · see citing works
Kushwaha, A. K., Kumar, P., & Kar, A. K. (2021) · Industrial Marketing Management · doi:10.1016/j.indmarman.2021.08.011 · Cited by 283 · see citing works
Interactivity and its Facets Revisited: Theory and Empirical Test
Johnson, G., Bruner, G. C., & Kumar, A. (2006) · Journal of Advertising · doi:10.2753/joa0091-3367350403 · Cited by 275 · see citing works
The experience of flow in computer-mediated and in face-to-face groups
Ghani, J. A., Supnick, R. M., & Rooney, P. S. (1991) · Journal of the Association for Information Systems · Cited by 269 · see citing works
Motivational engagement and video gaming: a mixed methods study
Hoffman, B. H., & Nadelson, L. S. (2009) · Educational Technology Research and Development · doi:10.1007/s11423-009-9134-9 · Cited by 263 · see citing works
Gender and website design in e-business
Cyr, D., & Bonanni, C. A. D. (2005) · International Journal of Electronic Business · doi:10.1504/ijeb.2005.008536 · Cited by 263 · see citing works
Assessing social and environmental performance through narrative complexity in CSR reports
Nazari, J. A., Hrazdil, K., & Mahmoudian, F. (2017) · Journal of Contemporary Accounting & Economics · doi:10.1016/j.jcae.2017.05.002 · Cited by 261 · see citing works
Consumer engagement via interactive artificial intelligence and mixed reality
Sung, E., Bae, S., Han, D. D., & Kwon, O. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102382 · Cited by 259 · see citing works
Chatbot advertising effectiveness: When does the message get through?
den Broeck, E. V., Zarouali, B., & Poels, K. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.009 · Cited by 258 · see citing works
Rauschnabel, P. A. (2018) · Psychology & Marketing · doi:10.1002/mar.21106 · Cited by 250 · see citing works
Flow in Computer-Mediated Environments: Promises and Challenges
Finneran, C. M., & Zhang, P. (2005) · Communications of the Association for Information Systems · doi:10.17705/1cais.01504 · Cited by 241 · see citing works
Wu, C. H.-J., & Liang, R.-D. (2011) · Tourism Management · doi:10.1016/j.tourman.2010.03.001 · Cited by 241 · see citing works
Parasocial relationship effects on customer equity in the social media context
Yuan, C. L., Kim, J., & Kim, S. J. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.12.071 · Cited by 237 · see citing works
Proceedings of ACL 2018, System Demonstrations
(2018) · doi:10.18653/v1/p18-4 · Cited by 232 · see citing works
Hsu, H.-Y., Liu, F., Tsou, H., & Chen, L. (2018) · Journal of Business and Industrial Marketing · doi:10.1108/jbim-03-2017-0068 · Cited by 231 · see citing works
Predicting consumer responses to a chatbot on facebook
Zarouali, B., Van den Broeck, E., Walrave, M., & Poels, K. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0518 · Cited by 229 · see citing works
Developing and validating a mobile catering app success model
Wang, Y., Tseng, T. H., Wang, W., Shih, Y.-W., & Chan, P.-Y. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.06.002 · Cited by 221 · see citing works
Gutiérrez, A., O’Leary, S., Rana, N. P., Dwivedi, Y. K., & Calle, T. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.015 · Cited by 213 · see citing works
Self-citationMurtarelli, G., Gregory, A., & Romenti, S. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.09.018 · Cited by 212 · see citing works
Chatbot for SMEs: Integrating customer and business owner perspectives
Selamat, M. A., & Windasari, N. A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101685 · Cited by 204 · see citing works
Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe
Hradecky, D., Kennell, J., Cai, W., & Davidson, R. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102497 · Cited by 203 · see citing works
Big data and firm marketing performance: Findings from knowledge-based view
Gupta, S., Justy, T., Kamboj, S., Kumar, A., & Kristoffersen, E. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120986 · Cited by 194 · see citing works
Using corpora in machine-learning chatbot systems
Shawar, B. A., & Atwell, E. (2005) · International Journal of Corpus Linguistics · doi:10.1075/ijcl.10.4.06sha · Cited by 190 · see citing works
Bilgihan, A., Okumuş, F., Nusair, K., & Bujisic, M. (2013) · Information Technology & Tourism · doi:10.1007/s40558-013-0003-3 · Cited by 189 · see citing works
Gratifications and social network service usage: The mediating role of online experience
Huang, L.-Y., Hsieh, Y.-J., & Wu, Y.-C. J. (2014) · Information & Management · doi:10.1016/j.im.2014.05.004 · Cited by 185 · see citing works
Impact of flow on mobile shopping intention
Chen, Y.-M., Hsu, T., & Lu, Y.-J. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.04.004 · Cited by 185 · see citing works
Readability of Corporate Social Responsibility communication in Malaysia
Bakar, A. S. A., & Ameer, R. (2010) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.240 · Cited by 183 · see citing works
The potential of social media for luxury brand management
Jin, S. A. (2012) · Marketing Intelligence & Planning · doi:10.1108/02634501211273805 · Cited by 183 · see citing works
Jung, J., Shim, S. W., Jin, H. S., & Khang, H. (2015) · International Journal of Advertising · doi:10.1080/02650487.2015.1014777 · Cited by 182 · see citing works
Janssen, M., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2017) · Public Management Review · doi:10.1080/14719037.2017.1305689 · Cited by 182 · see citing works
Self-citationKar, A. K., & Kushwaha, A. K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-021-10219-4 · Cited by 182 · see citing works
Huang, M. (2006) · Psychology and Marketing · doi:10.1002/mar.20118 · Cited by 181 · see citing works
Shareef, M. A., Dwivedi, Y. K., Kumar, V., & Kumar, U. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.02.003 · Cited by 177 · see citing works
“Find a flight for me, Oscar!” Motivational customer experiences with chatbots
Jiménez‐Barreto, J., Rubio, N., & Molinillo, S. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-10-2020-1244 · Cited by 168 · see citing works
An intelligent knowledge-based chatbot for customer service
Ngai, E. W. T., Lee, M. C. M., Luo, M., Chan, P. S. L., & Liang, T. (2021) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2021.101098 · Cited by 165 · see citing works
Wang, C., Teo, T. S. H., & Janssen, M. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102401 · Cited by 161 · see citing works
The acceptance of chatbots in an enterprise context – A survey study
Brachten, F., Kißmer, T., & Stieglitz, S. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102375 · Cited by 153 · see citing works
Modelling students' flow experiences in an online learning environment
Esteban-Millat, I., Martínez-López, F. J., Huertas-García, R., Meseguer‐Artola, A., & Rodríguez‐Ardura, I. (2013) · Computers & Education · doi:10.1016/j.compedu.2013.09.012 · Cited by 136 · see citing works
Rello, L., Baeza-Yates, R. A., Dempere‐Marco, L., & Saggion, H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40498-6_15 · Cited by 134 · see citing works
Mimoun, M. S. B., Poncin, I., & Garnier, M. (2016) · Information & Management · doi:10.1016/j.im.2016.11.008 · Cited by 132 · see citing works
Jordanian consumers’ adoption of telebanking
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Simintiras, A. C. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-06-2015-0093 · Cited by 130 · see citing works
Self-citationDwivedi, Y. K., Janssen, M., Slade, E. L., Rana, N. P., Weerakkody, V., Millard, J., Hidders, J., & Snijders, D. (2016) · Information Systems Frontiers · doi:10.1007/s10796-016-9675-5 · Cited by 129 · see citing works
Self-citationAladwani, A. M., & Dwivedi, Y. K. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.009 · Cited by 125 · see citing works
Algharabat, R., Alalwan, A. A., Rana, N. P., & Dwivedi, Y. K. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.02.007 · Cited by 122 · see citing works
Self-citationDoes digital footprint act as a digital asset? – Enhancing brand experience through remarketing
Arya, V., Sethi, D., & Paul, J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.013 · Cited by 119 · see citing works
Alalwan, A. A., Algharabat, R., Baabdullah, A. M., Rana, N. P., Qasem, Z., & Dwivedi, Y. K. (2020) · Journal of Enterprise Information Management · doi:10.1108/jeim-07-2019-0194 · Cited by 116 · see citing works
Self-citationGraduate Employability and Communication Competence
Clokie, T., & Fourie, E. (2016) · Business and Professional Communication Quarterly · doi:10.1177/2329490616657635 · Cited by 114 · see citing works
Chat now… Examining the variables influencing the use of online live chat
McLean, G., & Osei-Frimpong, K. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2019.05.017 · Cited by 93 · see citing works
Marinchak, C. M., Forrest, E., & Hoanca, B. (2018) · International Journal of E-Entrepreneurship and Innovation · doi:10.4018/ijeei.2018070102 · Cited by 88 · see citing works
MarkBot – A Language Model-Driven Chatbot for Interactive Marketing in Post-Modern World
Kushwaha, A. K., & Kar, A. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10184-y · Cited by 85 · see citing works
Lock, I., & Seele, P. (2017) · Management Communication Quarterly · doi:10.1177/0893318917707592 · Cited by 84 · see citing works
de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021) · Italian Journal of Marketing · doi:10.1007/s43039-021-00020-1 · Cited by 82 · see citing works
Csíkszentmihályi, M. (1988) · Cambridge University Press eBooks · doi:10.1017/cbo9780511621956.022 · Cited by 82 · see citing works
Krishnaraju, V., Mathew, S. K., & Sugumaran, V. (2015) · Information Systems Frontiers · doi:10.1007/s10796-015-9550-9 · Cited by 78 · see citing works
Lim, X., Cheah, J., Ng, S. I., Basha, N. K., & Soutar, G. N. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120763 · Cited by 77 · see citing works
Jin, S. A., & Youn, S. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101644 · Cited by 75 · see citing works
A multi-analytic approach to predict social media marketing influence on consumer purchase intention
Sharma, A., Fadahunsi, A., Abbas, H. F., & Pathak, V. K. (2022) · Journal of Indian Business Research · doi:10.1108/jibr-08-2021-0313 · Cited by 72 · see citing works
Hofstede, G. J. (2002) · Socio-Environmental Systems Modeling · Cited by 62 · see citing works
Design principles for conversational agents to support Emergency Management Agencies
Stieglitz, S., Hofeditz, L., Brünker, F., Ehnis, C., Mirbabaie, M., & Roß, B. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102469 · Cited by 61 · see citing works
Tailoring open government data portals for lay citizens: A gamification theory approach
Simonofski, A., Zuiderwijk, A., Clarinval, A., & Hammedi, W. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102511 · Cited by 54 · see citing works
Leader–Member Conversational Quality
Jian, G., Shi, X., & Dalisay, F. S. (2014) · Management Communication Quarterly · doi:10.1177/0893318914533201 · Cited by 53 · see citing works
Transparency in netchains as an organizational phenomenon: exploring the role of interdependencies
Theuvsen, L. (2004) · Journal on Chain and Network Science · doi:10.3920/jcns2004.x047 · Cited by 52 · see citing works
The Dimensions of M-Interactivity and Their Impacts in the Mobile Commerce Context
Yang, S. J., & Lee, Y. J. (2017) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1355645 · Cited by 50 · see citing works
The more you know, the better you act? Institutional communication in Covid-19 crisis management
Viola, C., Toma, P., Manta, F., & Benvenuto, M. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120929 · Cited by 45 · see citing works
Hide or Confide? The dilemma of transparency
Hofstede, G. J., Spaans-Dijkstra, L., Trienekens, J. H., & Beulens, A. J. M. (2004) · Socio-Environmental Systems Modeling · Cited by 41 · see citing works
Chen, K., Yen, D. C., Hung, S., & Huang, A. (2008) · Decision Support Systems · doi:10.1016/j.dss.2008.02.002 · Cited by 41 · see citing works
Kumar, N., & Yakhlef, A. (2016) · Industrial Marketing Management · doi:10.1016/j.indmarman.2016.01.002 · Cited by 35 · see citing works
Language Model-Driven Chatbot for Business to Address Marketing and Selection of Products
Kushwaha, A. K., & Kar, A. K. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64849-7_3 · Cited by 34 · see citing works
The Relationship between Organizational Commitment and Market Orientation
Sivaramakrishnan, S., Zhang, Z., Delbaere, M., & Bruning, E. R. (2008) · Journal of Strategic Marketing · doi:10.1080/09652540701794494 · Cited by 31 · see citing works
Conversational marketing: Creating compelling customer connections
Sotolongo, N., & Copulsky, J. R. (2018) · Applied marketing analytics · doi:10.69554/ircx9392 · Cited by 30 · see citing works
Design of E-commerce chat robot for automatically answering customer question
Bhawiyuga, A., Fauzi, M., Pramukantoro, E. S., & Yahya, W. (2017) · International Conference on Sustainable Information Engineering and Technology · doi:10.1109/siet.2017.8304128 · Cited by 27 · see citing works
Introduction to the Special Issue on Human Interaction with Artificial Advice Givers
Tintarev, N., O’Donovan, J., & Felfernig, A. (2016) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3014432 · Cited by 18 · see citing works
Hoozée, S., Maussen, S., & Vangronsveld, P. (2019) · Sustainability Accounting Management and Policy Journal · doi:10.1108/sampj-03-2018-0056 · Cited by 18 · see citing works
Do conversational platforms represent the next big digital marketing opportunity?
Copulsky, J. R. (2019) · Applied marketing analytics · doi:10.69554/hiur2549 · Cited by 15 · see citing works
Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation
Sharma, S. K., Dwivedi, Y. K., Metri, B. A., & Rana, N. P. (2020) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-64849-7 · Cited by 14 · see citing works
Self-citationTrends and Innovations in Marketing Information Systems
Tsiakis, T. (2015) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-4666-8459-1 · Cited by 13 · see citing works
Human-in-the-Loop Conversation Agent for Customer Service
Paikens, P., Znotiņš, A., & Bārzdiņš, G. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-51310-8_25 · Cited by 11 · see citing works
Bargas-Avila, J. A., & Brühlmann, F. (2015) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2015.08.010 · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 139 references couldn’t be matched to a known paper.
Research works printed but not linked: 11
- Cooper, K., 2010. Go with the flow: engagement factors for learning in second life. In: Paper Presented at the 2010 Spring Simulation Multi-Conference, Orlando, Florida.
- Harris, M., Schaubroeck, J., 1990. Confirmatory modelling in organizational behaviour/ human resource management: issues and applications. J. Manag. 16 (2), 337-360.
- Kline, R.B., 2005. Principles and Practice of Structural Equation Modelling. The Guilford Press, New York.
- Novak, T.P., Hoffman, D.L., Yung, Y.F., 2000. Measuring the customer experience in online environments: a structural modeling approach. Mark. Sci. 19 (1), 22-42.
- Nunnally, J.C., 1978. Psychometric Theory. McGraw-Hill, New York.
- Okuda, T., Shoda, S., 2018. AI-based chatbot service for financial industry. Fujitsu Sci. Tech. J. 54 (2), 4-8.
- Patil, S., Patil, V., Bagal, V., Butala, S., 2019. Review on: virtual assistant and patient monitoring system by using AI & data science. Int. Res. J. Eng. Technol. 6 (12), 68-71.
- Topac, V., 2012. The development of a text customization tool for existing web sites. In: Text Customization for Readability Symposium, November 2012.
- Wu, C.H.J., Liang, R.D., 2011. The relationship between white-water rafting experience formation and customer reaction: a flow theory perspective. Tour. Manag. 32 (2), 317-325.
- Wu, C.H.J., Liang, R.D., 2011. The relationship between white-water rafting experience formation and customer reaction: a flow theory perspective. Tour. Manag. 32 (2), 317-325.
- Zumstein, D., Hundertmark, S., 2017. Chatbots -an interactive technology for per- sonalized communication, transactions and services. IADIS Int. J. WWW/Internet 15 (1), 96-109.
Cited by
Sorted by citations
Dwivedi, Y. K., Sharma, A., Rana, N. P., Giannakis, M., Goel, P., & Dutot, V. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122579 · Cited by 411 · see citing works
Self-citationMenon, D., & Shilpa, K. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20962 · Cited by 359 · see citing works
Ma, X., & Huo, Y. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102362 · Cited by 368 · see citing works
Camilleri, M. A. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123247 · Cited by 261 · see citing works
AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges
Sapkota, R., Roumeliotis, K. I., & Karkee, M. (2026) · Information Fusion · doi:10.1016/j.inffus.2025.103599 · Cited by 244 · see citing works
“Some systems integrate basic learning capabilities [72] through feed-back loops [73,74], heuristics [75], or updated context buffers to refine behavior over time, particularly in settings like personalized recommendations or conversation flow management [76– 78].”
Pham, H. C., Duong, C. D., & Nguyen, G. K. H. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103758 · Cited by 222 · see citing works
Intelligent influencer marketing: how AI-powered virtual influencers outperform human influencers
Allal‐Chérif, O., Puertas, R., & Carracedo, P. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123113 · Cited by 190 · see citing works
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
Sapkota, R., Roumeliotis, K. I., & Karkee, M. (2025) · SuperIntelligence - Robotics - Safety & Alignment · doi:10.70777/si.v2i3.15161 · Cited by 186 · see citing works
Kim, H., & Park, M. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103581 · Cited by 164 · see citing works
Li, C., Fang, Y., & Chiang, Y.-H. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122921 · Cited by 141 · see citing works
Using chatbots in e-retailing – how to mitigate perceived risk and enhance the flow experience
Silva, S. C. L. D. C. E., Cicco, R. D., Vlačić, B., & Elmashhara, M. G. (2022) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-05-2022-0163 · Cited by 129 · see citing works
Aslam, F. (2023) · European Journal of Technology · doi:10.47672/ejt.1561 · Cited by 105 · see citing works
Liu, W., Jiang, M., Li, W., & Mou, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123407 · Cited by 98 · see citing works
How do consumers react to chatbots' humorous emojis in service failures
Liu, D., Lv, Y., & Huang, W. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102244 · Cited by 95 · see citing works
Al-Shafei, M. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2301252 · Cited by 112 · see citing works
Decoding Gen Z: AI's influence on brand trust and purchasing behavior
Guerra-Tamez, C. R., Flores, K. K., Serna-Mendiburu, G. M., Robles, D. C., & Cortés, J. I. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1323512 · Cited by 141 · see citing works
AgentAI: A comprehensive survey on autonomous agents in distributed AI for industry 4.0
Piccialli, F., Chiaro, D., Sarwar, S., Cerciello, D., Qi, P., & Mele, V. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128404 · Cited by 77 · see citing works
Customer experience in AI-enabled products: Scale development and validation
Wang, P., Li, K., Du, Q., & Wang, J. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103578 · Cited by 89 · see citing works
Duong, C. D., Nguyen, T. H., Ngo, T. V. N., Pham, T. T. P., Vu, A. T., & Dang, N. S. (2024) · Tourism Review · doi:10.1108/tr-01-2024-0027 · Cited by 74 · see citing works
Chakraborty, D., Polisetty, A., Sowmya, G., Rana, N. P., & Khorana, S. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103842 · Cited by 84 · see citing works
Self-citationPang, H., Ruan, Y., & Zhang, K. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103795 · Cited by 71 · see citing works
Kang, W., Shao, B., Du, S., Chen, H., & Zhang, Y. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123171 · Cited by 58 · see citing works
Sánchez, J. D. A., & Albesa, J. G. (2023) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer18030062 · Cited by 65 · see citing works
Robot adoption and enterprise R&D manipulation: Evidence from China
Zhou, Z., Li, Z., Du, S., & Cao, J. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123134 · Cited by 54 · see citing works
Foroughi, B., Naghmeh‐Abbaspour, B., Wen, J., Ghobakhloo, M., Al‐Emran, M., & Al-Sharafi, M. A. (2025) · Business Strategy and the Environment · doi:10.1002/bse.4186 · Cited by 56 · see citing works
“Hello, this is your AI co-pilot” – operational implications of artificial intelligence chatbots
Durach, C. F., & Gutiérrez, L. (2024) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-01-2024-0031 · Cited by 48 · see citing works
Will Users Continue Using Banking Chatbots? The Moderating Role of Perceived Risk
Mehrolia, S., Alagarsamy, S., Moorthy, V., & Jeevananda, S. (2023) · FIIB Business Review · doi:10.1177/23197145231169900 · Cited by 48 · see citing works
Suen, H.-Y., & Hung, K.-E. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123011 · Cited by 47 · see citing works
Exploring Motivators for Trust in the Dichotomy of Human—AI Trust Dynamics
Gerlich, M. (2024) · Social Sciences · doi:10.3390/socsci13050251 · Cited by 46 · see citing works
AI-empowered scale development: Testing the potential of ChatGPT
Hoffmann, S., Lasarov, W., & Dwivedi, Y. K. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123488 · Cited by 48 · see citing works
Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants
Choudhary, S., Kaushık, N., Sivathanu, B., & Rana, N. P. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2024.2312858 · Cited by 51 · see citing works
Self-citationYao, R., Qi, G., Sheng, D., Sun, H., & Zhang, J. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1453072 · Cited by 45 · see citing works
AI Adoption in Jordanian SMEs: The Influence of Technological and Organizational Orientations
Almashawreh, R., Talukder, M., Charath, S. K., & Khan, M. I. (2024) · Global Business Review · doi:10.1177/09721509241250273 · Cited by 39 · see citing works
Duong, C. D., Nguyen, T. H., Ngo, T. V. N., Dao, V. T., Do, N. D., & Pham, T. V. (2024) · International Journal of Information and Learning Technology · doi:10.1108/ijilt-01-2024-0006 · Cited by 43 · see citing works
Alalwan, A. A., Algharabat, R., Samen, A. A. E., Albanna, H., & Al‐Okaily, M. (2025) · Journal of Consumer Marketing · doi:10.1108/jcm-06-2024-6929 · Cited by 36 · see citing works
Self-citationZhu, Y., Wang, T., Wang, C., Quan, W., & Tang, M. (2023) · Applied Sciences · doi:10.3390/app132412989 · Cited by 31 · see citing works
Yang, Q., & Lee, Y. (2024) · Journal of risk and financial management · doi:10.3390/jrfm17100470 · Cited by 39 · see citing works
Xie, C., Zhu, J., Xie, Y., & Liang, C. (2025) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2025.101488 · Cited by 26 · see citing works
Vinoi, N., Shankar, A., Alzeiby, E. A., Gupta, P., & Agarwal, V. (2024) · Journal of Hospitality Marketing & Management · doi:10.1080/19368623.2024.2429505 · Cited by 28 · see citing works
Emotional responses in online social interactions: the mediating role of flow
Herrando, C., Martínez, J. J., Hoyos, M. J. M., Asakawa, K., & Yana, K. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-02-2022-0091 · Cited by 26 · see citing works
Rehman, A. U., Kumar, S., Salam, M. A., & Virmani, N. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124198 · Cited by 22 · see citing works
Chamorro-Atalaya, O., Olivares-Zegarra, S., Chunga, L. S., Carranza, V. R. G., Vargas-Díaz, A., Huarcaya-Godoy, M., Rovegno, J. R. R., Suarez-Bazalar, R., García, J. L. P., & Cruz-Telada, Y. (2023) · International Journal of Learning Teaching and Educational Research · doi:10.26803/ijlter.22.7.15 · Cited by 30 · see citing works
Habib, M. D., Attri, R., Salam, M. A., & Yaqub, M. Z. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.104147 · Cited by 22 · see citing works
Xue, J., Niu, Y., Liang, X., & Yin, S. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2227834 · Cited by 21 · see citing works
Sánchez, J. D. A., & Albesa, J. G. (2024) · Humanities and Social Sciences Communications · doi:10.1057/s41599-024-02621-5 · Cited by 21 · see citing works
Sonntag, M., Mehmann, J., & Teuteberg, F. (2023) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2023.2276631 · Cited by 20 · see citing works
Kim, Y., Seok, J., & Roh, T. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122852 · Cited by 21 · see citing works
Pinochet, L. H. C., de Gois, F. S., Pardim, V. I., & Onusic, L. M. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123414 · Cited by 22 · see citing works
Understanding the Determinants of Using Government AI-Chatbots by Citizens in Saudi Arabia
Abed, S. S. (2024) · International Journal of Electronic Government Research · doi:10.4018/ijegr.349733 · Cited by 19 · see citing works
Zhang, Y., Liang, C., & Li, X. (2024) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2024.101380 · Cited by 19 · see citing works
Examining Consumer Impulsive Purchase Intention in Virtual AI Streaming: A S-O-R Perspective
Zhou, T., & Li, S.-T. (2025) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer20030204 · Cited by 19 · see citing works
Liu, S., & Mei, Y. (2025) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2025.124387 · Cited by 19 · see citing works
Where does AI play a major role in the new product development and product management process?
Witkowski, A., & Wodecki, A. (2025) · Management Review Quarterly · doi:10.1007/s11301-025-00533-5 · Cited by 23 · see citing works
Measuring perception towards AI-based chatbots in Insurance Sector
Mangla, D., Aggarwal, R., & Maurya, M. (2023) · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · doi:10.1109/iitcee57236.2023.10091024 · Cited by 15 · see citing works
Lee, F. Y., & Chan, T. J. (2023) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/978-2-38476-196-8_9 · Cited by 15 · see citing works
The Use Of Chat-Bot Capabilities As A Type Of Modeling In Intelligent Learning
Kerimbayev, N., Jotsov, V., Umirzakova, Z., Bolyskhanova, M., & Tkach, G. (2022) · IEEE International Conference on Intelligent Systems · doi:10.1109/is57118.2022.10019627 · Cited by 15 · see citing works
Smart banking chatbots and consumer engagement: the role of trust and privacy in AI-driven banking
Rohit, K., Kumari, P., Singh, N., & Alofaysan, H. (2025) · Journal of Strategic Marketing · doi:10.1080/0965254x.2025.2481140 · Cited by 14 · see citing works
Aslam, J., Saleem, A., & Lai, K. (2025) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2025.3605823 · Cited by 14 · see citing works
Not in our image: rethinking anthropomorphism in expert chatbot design
Karimova, G. Z. (2025) · AI & Society · doi:10.1007/s00146-025-02438-z · Cited by 14 · see citing works
Nguyen, M. (2025) · Knowledge Management Research & Practice · doi:10.1080/14778238.2025.2555856 · Cited by 13 · see citing works
Peláez, C. A., Solano, A. F., Galindez, J. A. O., Espinosa, J. C., Montaño, A. S., Beltrán, P. A. C., Duque, J. S., Castro, D., Velasco, J. M. N., & la Prieta, F. D. (2025) · Informatics · doi:10.3390/informatics12010010 · Cited by 12 · see citing works
Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework
Arsenyan, J., Mirowska, A., & Piepenbrink, A. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122644 · Cited by 11 · see citing works
Rahi, S., Ngah, A. H., Alnasr, F., Alghizzawi, M., Rasheed, R., & Rashid, A. (2025) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2024-0551 · Cited by 16 · see citing works
Sadjadi, E. N. (2024) · Environment Development and Sustainability · doi:10.1007/s10668-023-04314-6 · Cited by 11 · see citing works
The Next ‘Deep’ Thing in X to Z Marketing: An Artificial Intelligence-Driven Approach
Charles, V., Rana, N. P., Pappas, I. O., Kamphaug, M., Siau, K. L., & Engø‐Monsen, K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10462-x · Cited by 10 · see citing works
Self-citationUnlock Happy Interactions: Voice Assistants Enable Autonomy and Timeliness
Mo, L., Zhang, L., Sun, X., & Zhou, Z. (2024) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer19020053 · Cited by 11 · see citing works
Satisfaction with AI chatbots in crowdsourcing services: anthropomorphic and fairness perspectives
Koh, L. Y., Cheh, Y. G., Yuen, K. F., & Wang, X. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2469660 · Cited by 9 · see citing works
Dewanti, R., & Ikhsan, R. B. (2025) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2025.100339 · Cited by 8 · see citing works
Tuấn, N. M., & Dang, T. D. (2025) · Journal of Open Innovation Technology Market and Complexity · doi:10.1016/j.joitmc.2025.100488 · Cited by 13 · see citing works
Akram, M. S., Dwivedi, Y. K., Shareef, M. A., & Bhatti, Z. A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.122101 · Cited by 7 · see citing works
Acceptance of Artificial Intelligence in a Jordanian Firm: An Overview
Masa’deh, R. M. T., Almajali, D., & Alsmadi, L. A. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-518-620251001 · Cited by 6 · see citing works
Abdalla, A. A., Tiwari, C. K., Bhat, M. A., Pal, A., & Abdulmuhsin, A. A. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105488 · Cited by 9 · see citing works
The Impact of Generative AI Characteristics on Users' Experiential Value and Product Involvement
Wang, S., Yuan, C., Yin, Y., Zhang, Z., & Wang, T. (2025) · International Journal of Consumer Studies · doi:10.1111/ijcs.70125 · Cited by 6 · see citing works
Berretta, S., Tausch, A., Bülow, F., Kuhlenkötter, B., Topp, M., Els, C., Peifer, C., & Kluge, A. (2025) · Applied Ergonomics · doi:10.1016/j.apergo.2025.104669 · Cited by 6 · see citing works
Exploring AI's Role in Supporting Diversity and Inclusion Initiatives in Multicultural Marketplaces
Mariyono, D., & Hidayatullah, A. N. A. (2024) · International Journal of Religion · doi:10.61707/apmwg008 · Cited by 6 · see citing works
Skip the AI-BOTs: let’s have real conversations in human-centric services
Dastane, O., Ooi, M.-Y., Aw, E. C., Shyu, W.-H., & Tan, G. W. (2025) · Journal of Consumer Marketing · doi:10.1108/jcm-05-2024-6825 · Cited by 5 · see citing works
VR meets hotel bookings: how hedonic and utilitarian attributes shape young consumers’ intentions
Gupta, K. P., & Pande, S. (2025) · Young Consumers Insight and Ideas for Responsible Marketers · doi:10.1108/yc-09-2024-2230 · Cited by 5 · see citing works
The Application of AI Customer Service
Li, Y., Li, J., Zhang, J., Hong, H., Yu, X., & Tsai, S. (2025) · Journal of Global Information Management · doi:10.4018/jgim.387390 · Cited by 5 · see citing works
The dangers of AI friendship: Adolescent mental health and ethical oversight
Katoch, H., & Sandhu, D. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-41660-6.00016-8 · Cited by 5 · see citing works
Kuanr, A., Moharana, T. R., Yan, M., Pradhan, D., & El-Manstrly, D. A. (2025) · European Journal of Marketing · doi:10.1108/ejm-08-2023-0663 · Cited by 5 · see citing works
Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis
Fares, O. H., & Lee, S. H. (2026) · Journal of Consumer Behaviour · doi:10.1002/cb.70130 · Cited by 6 · see citing works
Peláez, C. A., Solano, A. F., V., J., Castro, D., Cardona, J. J., Duque, J. S., Espinosa, J. C., Montaño, A. S., & la Prieta, F. D. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-82073-1_20 · Cited by 6 · see citing works
Liao, T. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2526567 · Cited by 5 · see citing works
AI POWERED CHATBOTS VS HUMAN AGENTS, A COMPATIBLE STUDY ON CUSTOMER SATISFACTION
Mangipudi, P. (2025) · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · doi:10.34218/ijcet_16_02_002 · Cited by 4 · see citing works
ZEMMOURI, A., & CHOUFARI, S. (2025) · Journal of Marketing and Consumer Behaviour in Emerging Markets · doi:10.7172/2449-6634.jmcbem.2025.1.4 · Cited by 4 · see citing works
Sembiyeva, L. (2024) · MONTENEGRIN JOURNAL OF ECONOMICS · doi:10.14254/1800-5845/2024.20-2.19 · Cited by 4 · see citing works
Hadi, Z. ‘., Siregar, D. A., Wijaya, G. S. T., Handayani, P. W., & Harahap, N. C. (2024) · Cogent Social Sciences · doi:10.1080/23311886.2024.2415534 · Cited by 7 · see citing works
How T-cruiscape shapes the flow experience of passenger's well-being
Gonzáles-Santiago, M. S., Loureiro, S. M. C., & Langaro, D. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2025.104181 · Cited by 4 · see citing works
Impact of AI-Driven Personalized Experience in Shaping Consumer Loyalty Towards Quick Commerce
Gupta, S. L., Sharma, V., & Tomar, R. (2025) · International Conference on Emerging Systems and Intelligent Computing (ESIC) · doi:10.1109/esic64052.2025.10962778 · Cited by 4 · see citing works
Implementation of AI Chatbot Application for Social Anxiety Problem
Dewi, M., & Fahmi, H. (2023) · IT for Society · doi:10.33021/itfs.v8i1.4662 · Cited by 4 · see citing works
A Journey through the Potential of Research to Drive Innovation in University Education
Ramos, E. R. A., Castillo, R. G. R., & Cabrera, L. C. Z. (2023) · Educación · doi:10.18800/educacion.202302.r002 · Cited by 4 · see citing works
Liu, F., Ren, L., & Hu, Y.-L. (2026) · The international journal of tourism research · doi:10.1002/jtr.70326 · Cited by 2 · see citing works
Saouabe, A., Oualla, H., Mazar, M., & Messadia, M. (2024) · International Conference on Decision Aid Sciences and Applications (DASA) · doi:10.1109/dasa63652.2024.10836655 · Cited by 3 · see citing works
Why Do Users Stay with Generative Artificial Intelligence?
Wang, L., Zhu, X., & Zhu, J. (2025) · Journal of Computer Information Systems · doi:10.1080/08874417.2025.2566197 · Cited by 3 · see citing works
Kunal, K. (2023) · Russian Law Journal · doi:10.52783/rlj.v11i5s.960 · Cited by 3 · see citing works
Reddy, P. P. K., Shaik, F., Gowd, S. S., Sudheer, V., Sivanand, S., & Kumar, K. S. (2025) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iciccs65191.2025.10985646 · Cited by 3 · see citing works
The Role of AI-Powered Chatbots in Telemedicine: Improving Accessibility and Patient Engagement
Karim, M. K., Sharma, R. K., & Singh, V. (2023) · International Journal of Technology and Modeling · doi:10.63876/ijtm.v2i1.108 · Cited by 3 · see citing works
Sun, R., Qin, S., Lv, D., Zhu, Q., Zuo, J., & Tang, W. (2026) · Journal of service management · doi:10.1108/josm-02-2025-0045 · Cited by 2 · see citing works
Fostering employees' adoption of machine learning-enabled technologies in asset pricing
Nguyen, K. M., Dang, M. T., Thi, L. D. N., NGUYEN, H. G., Hung, T. N. H., Minh, D. P. T., & Nguyen, N. T. (2026) · Management Decision · doi:10.1108/md-04-2025-0988 · Cited by 2 · see citing works
Humanizing AI : How Anthropomorphic Chatbots Drive Customer Engagement in Online Travel Agencies
Ahmad, K., & Bhatnagar, A. (2026) · International Journal of Tourism Research · doi:10.1002/jtr.70285 · Cited by 2 · see citing works
- Authors
- Baabdullah, A. M., Alalwan, A. A., Algharabat, R. S., Metri, B., & Rana, N. P.
- Affiliations
- King Abdulaziz University (SA)
- Qatar University (QA)
- Corresponding author
- Alalwan, Ali Abdallah
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 181
- Pages
- 121772
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4281606576
- Cited by
- 171
- References
- 139
- Citations by year
- 2026: 38 · 2025: 66 · 2024: 33 · 2023: 29 · 2022: 4
- FWCI
- 10.86
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- chatbots, virtual agents, flow experience, flow theory, readability, transparency, personalization, responsiveness, ubiquitous connectivity, communication quality, customer satisfaction, courier services, package delivery, express mail
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review