Cited by 172AI in Service InteractionsCustomer Service Quality and LoyaltyTechnology Adoption and User Behaviour

Virtual agents and flow experience: an empirical examination of AI-powered chatbots

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Baabdullah, Abdullah M., Alalwan, Ali Abdallah, Algharabat, Raed S., Metri, Bhimaraya, Rana, Nripendra P.·2022·Technological Forecasting and Social Change

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1 of the 139 references couldn’t be matched to a known paper.

Research works printed but not linked: 11

  1. 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.
  2. Harris, M., Schaubroeck, J., 1990. Confirmatory modelling in organizational behaviour/ human resource management: issues and applications. J. Manag. 16 (2), 337-360.
  3. Kline, R.B., 2005. Principles and Practice of Structural Equation Modelling. The Guilford Press, New York.
  4. 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.
  5. Nunnally, J.C., 1978. Psychometric Theory. McGraw-Hill, New York.
  6. Okuda, T., Shoda, S., 2018. AI-based chatbot service for financial industry. Fujitsu Sci. Tech. J. 54 (2), 4-8.
  7. 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.
  8. Topac, V., 2012. The development of a text customization tool for existing web sites. In: Text Customization for Readability Symposium, November 2012.
  9. 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.
  10. 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.
  11. 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.

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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
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

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