IDEAS home Printed from https://ideas.repec.org/a/igg/rmj000/v31y2018i3p34-53.html
   My bibliography  Save this article

Business-IT Alignment Literature Review: A Bibliometric Analysis

Author

Listed:
  • Yu Jia

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, China)

  • Nianxin Wang

    (School of Economics and Management,Jiangsu University of Science and Technology, Zhenjiang, China)

  • Shilun Ge

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, China & School of Management, Yancheng Institute of Technology, Yancheng, China)

Abstract

The purpose of this article is to portray the knowledge evolution paths of business-IT alignment (BITA) research and identify a set of important papers in the development of BITA, and elucidate the intellectual structure of this field. This study collected 309 papers published during the period 1983-2015 from the Web of Science (WOS) database. Using a variety of bibliometric and visualization analytic techniques such as citation analysis, co-citation analysis and main path analysis, this article (1) delineates the significant knowledge flows of BITA research and identifies 15 important papers in this field; (2) graphically maps the influential countries, institutions, and journals of BITA research; (3) identifies four major research themes: BITA model, measurement, antecedents, and dynamics, and visualizing the relationships among them. Based on these findings, recommendations for the future research directions have suggested. This article provides IT practitioners, executives, and scholars with a new perspective to get a better understanding of BITA.

Suggested Citation

  • Yu Jia & Nianxin Wang & Shilun Ge, 2018. "Business-IT Alignment Literature Review: A Bibliometric Analysis," Information Resources Management Journal (IRMJ), IGI Global, vol. 31(3), pages 34-53, July.
  • Handle: RePEc:igg:rmj000:v:31:y:2018:i:3:p:34-53
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IRMJ.2018070103
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Wu Jin-Nan & Song Mengmeng & Zhu Tingting & Ugrin Joseph C. & Liu Lin, 2021. "Cyberloafing Research 1997-2019: A Citation-based Literature Review," Organizacija, Sciendo, vol. 54(2), pages 98-111, May.
    2. Santos Castellanos, Weimar, 2021. "Impact of Information Technology (IT) Governance on Business-IT Alignment," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).

    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:rmj000:v:31:y:2018:i:3:p:34-53. 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.