IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v31y2020i4p547-573.html
   My bibliography  Save this article

Information technology drivers of supply chain agility: implications for market performance

Author

Listed:
  • Ayman Bahjat Abdallah
  • Haya Fawzi Ayoub

Abstract

The purpose of this study is to identify information technology (IT) drivers of supply chain agility (SCA) and examine their effects on the implementation levels of agile supply chains (SCs). It also explores the effect of SCA on market performance (MP). The study analyses survey data collected from 274 manufacturing companies from different industry types in Jordan. These types included machinery and hardware, electrical and electronics, rubber and plastic, chemical, food, textiles and others. Validity and reliability analyses were performed using IBM SPSS Statistics and Amos, and the research hypotheses were tested using structural equation modelling (SEM). The results reveal that all IT drivers, namely, enterprise resource planning (ERP), radio frequency identification (RFID), cloud computing (CC) and Web 2.0 positively and significantly affect SCA. In addition, SCA proves to be positively and significantly related to MP.

Suggested Citation

  • Ayman Bahjat Abdallah & Haya Fawzi Ayoub, 2020. "Information technology drivers of supply chain agility: implications for market performance," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 31(4), pages 547-573.
    • Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:547-573
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=111674
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Chih-Hung Hsu & Xu He & Ting-Yi Zhang & An-Yuan Chang & Wan-Ling Liu & Zhi-Qiang Lin, 2022. "Enhancing Supply Chain Agility with Industry 4.0 Enablers to Mitigate Ripple Effects Based on Integrated QFD-MCDM: An Empirical Study of New Energy Materials Manufacturers," Mathematics, MDPI, vol. 10(10), pages 1-35, May.

    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:ids:ijpqma:v:31:y:2020:i:4:p:547-573. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=177 .

    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.