IDEAS home Printed from https://ideas.repec.org/a/igg/jtd000/v12y2021i3p83-95.html
   My bibliography  Save this article

Explaining Country Heterogeneity in E-Government Evolution Based on Longitudinal Analysis of Nations

Author

Listed:
  • Prakrit Silal

    (Indian Institute of Management, Calcutta, India)

  • Debashis Saha

    (Indian Institute of Management, Calcutta, India)

Abstract

E-government (EGOV) has emerged as an important innovation disrupting the government-citizen relationship in the past two decades. It has attracted wide attention from scholars across varied domains. However, most of these scholarly works, while richly contributing to this evolving domain, assume homogeneity and uniformity in its design, implementation, and impact. This “one size fits all” approach fails to account for the contextual richness, often culminating in a “design-reality” gap. Also, the existing literature lacks adequate investigation of EGOV heterogeneities along time. To address the lacuna, this study attempts to uncover country-level heterogeneities inherent in EGOV longitudinal evolution. Using a dataset over 2008-2018, the study performs a longitudinal clustering analysis and identifies four distinct cohorts with varying EGOV trajectories. Further, the study uncovers variations in EGOV's influence on country-level development indicators across the four cohorts. The findings help derive theoretical and policy implications while identifying avenues for future works.

Suggested Citation

  • Prakrit Silal & Debashis Saha, 2021. "Explaining Country Heterogeneity in E-Government Evolution Based on Longitudinal Analysis of Nations," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 12(3), pages 83-95, July.
  • Handle: RePEc:igg:jtd000:v:12:y:2021:i:3:p:83-95
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.2021070105
    Download Restriction: no
    ---><---

    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:jtd000:v:12:y:2021:i:3:p:83-95. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.