Providing an Interactive/Qualitative Analysis Model for Sustainable Information Technology Supply Chain Risks in Knowledge-Based Companies

Document Type : Research Paper

Authors

1 PhD Student of Industrial Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran.

2 Faculty Member, Department of Industrial Engineering, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran.

3 Faculty Member, Department of Accounting, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran.

Abstract

One of the most important strategic competition approaches is to achieve stability in IT supply chain management, which creates information balance among decision-makers and further reflects in various dimensions such as economic, social, environmental, etc. The purpose of this study is to provide an interactive qualitative analysis (IQA) model of sustainable IT supply chain risks in knowledge-based firms. Based on the mixed research methodology, first, meta-synthesis and Delphi analysis were used to identify the components and risk propositions of the sustainable information technology supply chain. The participants in this section were 15 specialists and experts from academia. Then, in the quantitative phase, system representation analysis was used, in which 20 IT specialists in knowledge-based companies participated. Based on the research findings, three main components and 28 initial propositions were confirmed. After Delphi analysis, 21 final propositions were finalized to achieve theoretical adequacy. Then, the relationship between links and system effectiveness among the validated propositions was analyzed, and accordingly, the most motivating propositions and consequences related to each of the risks of sustainable IT supply chain in knowledge-based companies were identified.

Keywords

Main Subjects

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Journal of Technology Development Management
Volume 8, Issue 4
March 2021
Pages 107-142

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History

  • Receive Date: 27 June 2020
  • Revise Date: 04 February 2021
  • Accept Date: 25 February 2021

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