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Open AccessArticle

Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry

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School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia
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Department of Information Systems, Azman Hashim International Business School, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia
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Department of Information Systems, College of Computer and Information Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia
4
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
5
Faculty of Civil Engineering, Duy Tan University, Da Nang 550000, Vietnam
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(18), 7674; https://doi.org/10.3390/su12187674
Received: 22 July 2020 / Revised: 7 September 2020 / Accepted: 9 September 2020 / Published: 17 September 2020
(This article belongs to the Special Issue Actions and Sustainable Futures)
The textile and apparel industry is prone to digitization with business intelligence systems (BIS) and big data concepts to contribute the global sustainability. BIS, an impactful and leading technology, is being implemented in many industrial sectors but almost 80% of BIS fail to give expected results due to unknown reasons. Although many scholars put effort into finding the influential determinants for the BIS implementation, they neglect the BIS adoption context, especially in the textile and apparel industry. A purposive and proportionate choice of potential determinants in the context of adoption would contribute significantly to the success of BIS. Multi-stage research is employed to identify and prioritize the significant determinants. In the first stage, twenty-two semi-structured in-depth interviews are conducted with seventeen textile and apparel companies. Ten significant determinants emerged after thematic analysis of interview data. The determinants are sustainability, competitive pressure, market trends, compatibility, technology maturity, leadership commitment and support, satisfaction with existing systems, sustainable data quality and integrity, users’ traits, and interpersonal communications that influence the adoption of BIS. In the second stage, the Best Worst Method (BWM) is used to calculate the weights for prioritizing the determinants based on experts’ opinion. These weights are then used to evaluate and rank the determinants. The findings of this research show that the leadership commitment and support, sustainability, users’ traits, and technology maturity, are the top-ranked determinants that influence the practitioners’ choice to adopt the BIS in the textile and apparel industry. The results of this study enable the BIS stakeholders to holistically comprehend the significant determinants that would drive or impede the success of BIS projects in the sustainable textile and apparel industry. View Full-Text
Keywords: business intelligence system adoption; textile and apparel industry; determinants; best worst method business intelligence system adoption; textile and apparel industry; determinants; best worst method
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MDPI and ACS Style

Ahmad, S.; Miskon, S.; Alabdan, R.; Tlili, I. Exploration of Influential Determinants for the Adoption of Business Intelligence System in the Textile and Apparel Industry. Sustainability 2020, 12, 7674.

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