Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry

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 resu...

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Main Authors: Ahmad, Sumera, Miskon, Suraya, Alabdan, Rana, Tlili, Iskander
Format: Article
Language:English
Published: MDPI AG 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/90956/1/SurayaMiskon2020_ExplorationofInfluentialDeterminantsfortheAdoption.pdf
http://eprints.utm.my/id/eprint/90956/
http://dx.doi.org/10.3390/su12187674
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.909562021-05-31T13:28:47Z http://eprints.utm.my/id/eprint/90956/ Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry Ahmad, Sumera Miskon, Suraya Alabdan, Rana Tlili, Iskander QA75 Electronic computers. Computer science 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. MDPI AG 2020-09 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/90956/1/SurayaMiskon2020_ExplorationofInfluentialDeterminantsfortheAdoption.pdf Ahmad, Sumera and Miskon, Suraya and Alabdan, Rana and Tlili, Iskander (2020) Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry. Sustainability (Switzerland), 12 (18). p. 7674. ISSN 2071-1050 http://dx.doi.org/10.3390/su12187674
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad, Sumera
Miskon, Suraya
Alabdan, Rana
Tlili, Iskander
Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
description 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.
format Article
author Ahmad, Sumera
Miskon, Suraya
Alabdan, Rana
Tlili, Iskander
author_facet Ahmad, Sumera
Miskon, Suraya
Alabdan, Rana
Tlili, Iskander
author_sort Ahmad, Sumera
title Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
title_short Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
title_full Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
title_fullStr Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
title_full_unstemmed Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
title_sort exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry
publisher MDPI AG
publishDate 2020
url http://eprints.utm.my/id/eprint/90956/1/SurayaMiskon2020_ExplorationofInfluentialDeterminantsfortheAdoption.pdf
http://eprints.utm.my/id/eprint/90956/
http://dx.doi.org/10.3390/su12187674
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