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Hedonic or utilitarian? Exploring the impact of communication style alignment on user's perception of virtual health advisory services

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  • Li, Manning
  • Mao, Jiye

Abstract

Intelligent advisory services are becoming increasingly pervasive. Ranging from e-Commerce to e-Government platforms, intelligent advisory systems, with user-centered design, can potentially overcome technical barriers that commonly exist on traditional websites. This study explores the impact of system–user communication style similarities on the user's perception towards the virtual advisory service in the healthcare domain. Drawing on Similarity-Attraction Theory, we propose a research framework to investigate this relationship. Through a mixed-method approach, including preliminary surveys, experiments and follow-up interviews, this study shows that an intelligent advisory system's communication style, when aligned well with a user's communication style, can better engage the user and lead to more perceived transparency, enjoyment, informativeness and credibility during the interaction process. Overall, hedonic aspects of user perceptions are shown to be more critical for creating a feeling of social presence and reuse intentions than utilitarian ones. The implications of the study for research and practice are then discussed.

Suggested Citation

  • Li, Manning & Mao, Jiye, 2015. "Hedonic or utilitarian? Exploring the impact of communication style alignment on user's perception of virtual health advisory services," International Journal of Information Management, Elsevier, vol. 35(2), pages 229-243.
    • Handle: RePEc:eee:ininma:v:35:y:2015:i:2:p:229-243
    DOI: 10.1016/j.ijinfomgt.2014.12.004
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    1. Russell W. Belk, 2013. "Extended Self in a Digital World," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 477-500.
    2. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    3. Fang, Xiang & Yen, David C., 2006. "Demographics and behavior of Internet users in China," Technology in Society, Elsevier, vol. 28(3), pages 363-387.
    4. Stephen P. Smith & Robert B. Johnston & Steve Howard, 2011. "Putting Yourself in the Picture: An Evaluation of Virtual Model Technology as an Online Shopping Tool," Information Systems Research, INFORMS, vol. 22(3), pages 640-659, September.
    5. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    6. P. De Pelsmacker & M. Geuens & P. Anckaert, 2002. "Media context and advertising effectiveness: The role of context appreciation and context-ad similarity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/162, Ghent University, Faculty of Economics and Business Administration.
    7. Heather L. O'Brien & Elaine G. Toms, 2008. "What is user engagement? A conceptual framework for defining user engagement with technology," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(6), pages 938-955, April.
    8. Ebrahim Mazaheri & Marie-Odile Richard & Michel Laroche, 2010. "Investigating the Moderating Impact of Hedonism on Online Consumer Behavior," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 20(2), pages 123-134, March.
    9. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    10. Heather L. O'Brien & Mahria Lebow, 2013. "Mixed-methods approach to measuring user experience in online news interactions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(8), pages 1543-1556, August.
    11. Nigel Ford, 2004. "Modeling cognitive processes in information seeking: From Popper to Pask," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(9), pages 769-782, July.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    13. Heather L. O'Brien & Mahria Lebow, 2013. "Mixed‐methods approach to measuring user experience in online news interactions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(8), pages 1543-1556, August.
    14. Foshay, Neil & Kuziemsky, Craig, 2014. "Towards an implementation framework for business intelligence in healthcare," International Journal of Information Management, Elsevier, vol. 34(1), pages 20-27.
    Full references (including those not matched with items on IDEAS)

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