A Conceptual Model of Business Intelligence System Adoption for the Textile and Apparel Industry in Pakistan

  • Sumera Ahmad School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, 81310 Johor, Malaysia.
  • Suraya Miskon Department of Information Systems, Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, 81310 Johor Malaysia.


Textile and Apparel (T&A) industry is the backbone of Pakistani economy, including one-fourth of the industrial sector, and comprises 40% of industrial employees and approximately 60% share of Pakistani exports. Although, industry is striving hard to compete in international market; a persistent stream of innovation is required to maintain its due share in recent quota free global trade of textiles. Business Intelligence (BI) system is one of the most-used buzzwords in the modern business landscape for well informed decision making. In spite of the great synergies and benefits, BI system grant to the businesses and organizations. The adoption level is low with high failure ratio, especially in developing countries. Further, researchers did not propose any theory or model for the T & A industry. This study aims to fill this gap by conducting a Systematic Literature Review (SLR) for identifying the most appropriate factors, theory and model for the current study. Total of 75 studies were selected which were published during the period of 2011- 2020. A conceptual model is developed with most potential factors by using Technology-OrganizationEnvironment (TOE) framework. This conceptual model will guide the policy makers and industry practitioners to integrate and adopt the BI system successfully that would helpful to achieve competitive edge in the international business markets.

Apr 1, 2021
How to Cite
AHMAD, Sumera; MISKON, Suraya. A Conceptual Model of Business Intelligence System Adoption for the Textile and Apparel Industry in Pakistan. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 40, n. 2, p. 251 - 264, apr. 2021. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2073>. Date accessed: 18 sep. 2021. doi: http://dx.doi.org/10.22581/muet1982.2102.01.
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License