IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v17y2015i5d10.1007_s10796-014-9497-2.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-014-9497-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-014-9497-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    2. Chang-Gyu Yang & Hee-Jun Lee, 2016. "A study on the antecedents of healthcare information protection intention," Information Systems Frontiers, Springer, vol. 18(2), pages 253-263, April.
    3. Jens Weber-Jahnke & Liam Peyton & Thodoros Topaloglou, 2012. "eHealth system interoperability," Information Systems Frontiers, Springer, vol. 14(1), pages 1-3, March.
    4. Ravi Thambusamy & Prashant Palvia, 2020. "U.S. Healthcare Provider Capabilities and Performance: the Mediating Roles of Service Innovation and Quality," Information Systems Frontiers, Springer, vol. 22(1), pages 91-111, February.
    5. C. Derrick Huang & Jahyun Goo & Ravi S. Behara & Ankur Agarwal, 2020. "Clinical Decision Support System for Managing COPD-Related Readmission Risk," Information Systems Frontiers, Springer, vol. 22(3), pages 735-747, June.
    6. Pei Yee Chin & Nina Evans & Charles Zhechao Liu & Kim-Kwang Raymond Choo, 2020. "Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks," Information Systems Frontiers, Springer, vol. 22(6), pages 1357-1376, December.
    7. Pei Yee Chin & Nina Evans & Charles Zhechao Liu & Kim-Kwang Raymond Choo, 0. "Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    8. Gartner, Johannes & Fink, Matthias & Maresch, Daniela, 2022. "The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    9. Sam Ransbotham & Eric M. Overby & Michael C. Jernigan, 2021. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time," Management Science, INFORMS, vol. 67(7), pages 4341-4361, July.
    10. Indranil Bardhan & Jeong-ha (Cath) Oh & Zhiqiang (Eric) Zheng & Kirk Kirksey, 2015. "Predictive Analytics for Readmission of Patients with Congestive Heart Failure," Information Systems Research, INFORMS, vol. 26(1), pages 19-39, March.
    11. Ning Nan & Robert Zmud & Emre Yetgin, 2014. "A complex adaptive systems perspective of innovation diffusion: an integrated theory and validated virtual laboratory," Computational and Mathematical Organization Theory, Springer, vol. 20(1), pages 52-88, March.
    12. Jinxin Yang & Din Jong, 2021. "Understanding Continuance Intention Determinants to Adopt Online Health Care Community: An Empirical Study of Food Safety," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
    13. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    14. Yu-Kai Lin & Mingfeng Lin & Hsinchun Chen, 2019. "Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act," Service Science, INFORMS, vol. 30(1), pages 306-318, March.
    15. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    16. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    17. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    18. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    19. Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    20. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:17:y:2015:i:5:d:10.1007_s10796-014-9497-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.