Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach

Muhammad Irfan, Mingzheng Wang, Abaid Ullah Zafar, Mohsin Shahzad, Tahir Islam

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Purpose: This study aims to investigate the hierarchical relationship between industry-specific attributes of supply chain (SC) strategies and information technology (IT) to improve the performance of firms in textile industry in Pakistan.

Design/methodology/approach: This study presents a mix of enablers through literature review and experts’ opinions. Next, the driving and dependence powers of enablers were identified, using the interpretive structural modeling (ISM) approach. 

Findings: The ISM model suggests eight levels, with customer satisfaction at the top of the model. Process automation and TQM are placed at second and third level, respectively, whereas flexible sourcing and flexible capacity are positioned at fourth level. The key enablers of IT have high driving power, hence positioned at the bottom of ISM model. 

Originality/value: This study has value for firms in garment manufacturing and exporting industry to invest into IT and sustainable SC design for competitive performance. The theoretical and managerial implications are provided.

Original languageEnglish
Pages (from-to)461-491
Number of pages31
JournalVINE Journal of Information and Knowledge Management Systems
Volume51
Issue number3
Early online date18 May 2020
DOIs
Publication statusPublished - 31 May 2021
Externally publishedYes

Keywords

  • Competitive performance
  • Information technology
  • ISM
  • IT capability
  • Supply chain strategy
  • Textile industry

Fingerprint

Dive into the research topics of 'Modeling the enablers of supply chain strategies and information technology: improving performance through TISM approach'. Together they form a unique fingerprint.

Cite this