IDEAS home Printed from https://ideas.repec.org/a/igg/jhisi0/v16y2021i4p1-27.html
   My bibliography  Save this article

The Case of Organizational Innovation Capability and Health Information Technology Implementation Success: As You Sow, So You Reap?

Author

Listed:
  • Rangarajan Parthasarathy

    (University of Illinois at Urbana-Champaign, USA)

  • Monica Garfield

    (Bentley University, USA)

  • Anuradha Rangarajan

    (Indiana State University, USA)

  • Justin L. Kern

    (University of Illinois at Urbana-Champaign, USA)

Abstract

Organizational innovation capability is defined as the ability to continuously transform knowledge and ideas into new products, processes and systems for the benefit of an organization and its stakeholders. This study examines the relationship between the innovation capability of healthcare organizations and their ability to successfully implement electronic medical records (EMR), a health information technology (HIT) innovation. Data was collected using a cross-sectional survey and structural equation modeling (SEM) method was used to analyze the data. Results demonstrate that organizational product innovation capability positively affects EMR implementation success. A positive relationship also exists between organizational process innovation capability and EMR implementation success. This study is one of the first to empirically validate the relationship between healthcare organization’s innovation capability and HIT innovation implementation success, in the context of EMRs. Implications of the study for the academic and industry practitioner are discussed.

Suggested Citation

  • Rangarajan Parthasarathy & Monica Garfield & Anuradha Rangarajan & Justin L. Kern, 2021. "The Case of Organizational Innovation Capability and Health Information Technology Implementation Success: As You Sow, So You Reap?," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(4), pages 1-27, October.
    • Handle: RePEc:igg:jhisi0:v:16:y:2021:i:4:p:1-27
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.20211001.oa21
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin, Trisha T.C. & Paragas, Fernando & Goh, Dion & Bautista, John Robert, 2016. "Developing location-based mobile advertising in Singapore: A socio-technical perspective," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 334-349.
    2. Azar, Goudarz & Ciabuschi, Francesco, 2017. "Organizational innovation, technological innovation, and export performance: The effects of innovation radicalness and extensiveness," International Business Review, Elsevier, vol. 26(2), pages 324-336.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    5. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
    6. Varun Grover & Kirk Fiedler & James Teng, 1997. "Empirical Evidence on Swanson's Tri-Core Model of Information Systems Innovation," Information Systems Research, INFORMS, vol. 8(3), pages 273-287, September.
    7. John L. Reardon, 2009. "Perceptions of an Organizing Vision for Electronic Medical Records by Independent Physician Practices," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 4(3), pages 16-37, July.
    Full references (including those not matched with items on IDEAS)

    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. Farida Veerankutty & Thurasamy Ramayah & Noor Azman Ali, 2018. "Information Technology Governance on Audit Technology Performance among Malaysian Public Sector Auditors," Social Sciences, MDPI, vol. 7(8), pages 1-19, July.
    2. E. Raguseo & Pigni, F. & Claudio Vitari, 2021. "Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness," Grenoble Ecole de Management (Post-Print) hal-03323663, HAL.
    3. E. Raguseo & Pigni, F. & Claudio Vitari, 2021. "Streams of digital data and competitive advantage: The mediation effects of process efficiency and product effectiveness," Post-Print hal-03323663, HAL.
    4. Xu, Huinan & Sharma, Sushil K. & Hackney, Ray, 2005. "Web services innovation research: Towards a dual-core model," International Journal of Information Management, Elsevier, vol. 25(4), pages 321-334.
    5. Alzahrani, Latifa & Al-Karaghouli, Wafi & Weerakkody, Vishanth, 2017. "Analysing the critical factors influencing trust in e-government adoption from citizens’ perspective: A systematic review and a conceptual framework," International Business Review, Elsevier, vol. 26(1), pages 164-175.
    6. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    7. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    8. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    9. P.A.V.B. Swamy & I-Lok Chang & Jatinder S. Mehta & William H. Greene & Stephen G. Hall & George S. Tavlas, 2016. "Removing Specification Errors from the Usual Formulation of Binary Choice Models," Econometrics, MDPI, vol. 4(2), pages 1-21, June.
    10. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    11. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    12. Carlo Altavilla & Raffaella Giacomini & Giuseppe Ragusa, 2017. "Anchoring the yield curve using survey expectations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(6), pages 1055-1068, September.
    13. Fernando Rios-Avila & Gustavo Canavire-Bacarreza, 2018. "Standard-error correction in two-stage optimization models: A quasi–maximum likelihood estimation approach," Stata Journal, StataCorp LP, vol. 18(1), pages 206-222, March.
    14. Sandy Fréret & Denis Maguain, 2017. "The effects of agglomeration on tax competition: evidence from a two-regime spatial panel model on French data," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(6), pages 1100-1140, December.
    15. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    16. Philippe Aghion & Ufuk Akcigit & Matthieu Lequien & Stefanie Stantcheva, 2017. "Tax simplicity and heterogeneous learning," CEP Discussion Papers dp1516, Centre for Economic Performance, LSE.
    17. Yan Zhang & Ciaran B. Trace, 2022. "The quality of health and wellness self‐tracking data: A consumer perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 879-891, June.
    18. Gregory, Allan W. & McCurdy, Thomas H., 1986. "The unbiasedness hypothesis in the forward foreign exchange market: A specification analysis with application to France, Italy, Japan, the United Kingdom and West Germany," European Economic Review, Elsevier, vol. 30(2), pages 365-381, April.
    19. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    20. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.

    More about this item

    Statistics

    Access and download statistics

    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:igg:jhisi0:v:16:y:2021:i:4:p:1-27. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.