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Understanding health information technology adoption: A synthesis of literature from an activity perspective

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  • Jun Sun

    (University of Texas-Rio Grande Valley)

  • Zhe Qu

    (Fudan University)

Abstract

The vast body of literature on health information technology (HIT) adoption features considerably heterogeneous factors and demands for a synthesis of the knowledge in the field. This study employs text mining and network analysis techniques to identify the important concepts and their relationships in the abstracts of 979 articles of HIT adoption. Through the lens of Activity Theory, the revealed concept map of HIT adoption can be viewed as a complex activity system involving different users, technologies and tasks at both the individual level and the social level. Such a synthesis not only discloses the current knowledge domain of HIT adoption, but also provides guidance for future research on HIT adoption.

Suggested Citation

  • Jun Sun & Zhe Qu, 2015. "Understanding health information technology adoption: A synthesis of literature from an activity perspective," Information Systems Frontiers, Springer, vol. 17(5), pages 1177-1190, October.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:5:d:10.1007_s10796-014-9497-2
    DOI: 10.1007/s10796-014-9497-2
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    References listed on IDEAS

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    1. Nirup M. Menon & Byungtae Lee & Leslie Eldenburg, 2000. "Productivity of Information Systems in the Healthcare Industry," Information Systems Research, INFORMS, vol. 11(1), pages 83-92, March.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Jun Sun, 2012. "Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 48-63, January.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Payam Sadeghi & Morad Benyoucef & Craig E. Kuziemsky, 2012. "A mashup based framework for multi level healthcare interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 57-72, March.
    6. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
    7. Mengistu Kifle & Victor W. A. Mbarika & Pratim Datta, 2006. "Interplay of cost and adoption of tele-medicine in Sub-Saharan Africa: The case of tele-cardiology in Ethiopia," Information Systems Frontiers, Springer, vol. 8(3), pages 211-223, July.
    8. Corey M. Angst & Ritu Agarwal & V. Sambamurthy & Ken Kelley, 2010. "Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals," Management Science, INFORMS, vol. 56(8), pages 1219-1241, August.
    9. Matthew Berman & Andrea Fenaughty, 2005. "Technology and managed care: patient benefits of telemedicine in a rural health care network," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 559-573, June.
    10. Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
    11. Alain Mouttham & Craig Kuziemsky & Dishant Langayan & Liam Peyton & Jose Pereira, 2012. "Interoperable support for collaborative, mobile, and accessible health care," Information Systems Frontiers, Springer, vol. 14(1), pages 73-85, March.
    12. Jun Sun, 2012. "Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 48-63, January.
    13. Ellen Balka & Sandra Whitehouse & Shannon T. Coates & Dug Andrusiek, 2012. "Ski hill injuries and ghost charts: Socio-technical issues in achieving e-Health interoperability across jurisdictions," Information Systems Frontiers, Springer, vol. 14(1), pages 19-42, March.
    14. repec:mpr:mprres:5411 is not listed on IDEAS
    15. Daisy Daiqin He & Jian Yang & Michael Compton & Kerry Taylor, 2012. "Authorization in cross-border eHealth systems," Information Systems Frontiers, Springer, vol. 14(1), pages 43-55, March.
    16. Say Yen Teoh & Shan L. Pan & Anand M. Ramchand, 2012. "Resource management activities in healthcare information systems: A process perspective," Information Systems Frontiers, Springer, vol. 14(3), pages 585-600, July.
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    Cited by:

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    2. Xuan Wang & Jun Sun & Ying Wang & Yi Liu, 2022. "Deepen electronic health record diffusion beyond breadth: game changers and decision drivers," Information Systems Frontiers, Springer, vol. 24(2), pages 537-548, April.
    3. Ravi Seethamraju & Krishna Sundar Diatha & Shashank Garg, 2018. "Intention to Use a Mobile-Based Information Technology Solution for Tuberculosis Treatment Monitoring – Applying a UTAUT Model," Information Systems Frontiers, Springer, vol. 20(1), pages 163-181, February.
    4. Maedeh Yassaee & Tobias Mettler, 2019. "Digital Occupational Health Systems: What Do Employees Think about it?," Information Systems Frontiers, Springer, vol. 21(4), pages 909-924, August.
    5. Jyoti Choudrie & Sutee Pheeraphuttranghkoon & Soheil Davari, 2020. "The Digital Divide and Older Adult Population Adoption, Use and Diffusion of Mobile Phones: a Quantitative Study," Information Systems Frontiers, Springer, vol. 22(3), pages 673-695, June.

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