Business intellengence system adoption model for textile and apparel industry in Pakistan

Industry 4.0 concept has put pressure on industries to integrate business intelligence systems (BIS) to process large data sets for intelligent decision-making. Despite its potential, the success of this credible innovation still has a big question mark with 70-80% failure rate. Thus, many scholars...

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Main Author:	Ahmad, Sumera
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/101466/1/SumeraAhmadPSC2021.pdf
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id	my-utm-ep.101466
record_format	uketd_dc
spelling	my-utm-ep.1014662023-06-21T09:47:44Z Business intellengence system adoption model for textile and apparel industry in Pakistan 2021 Ahmad, Sumera QA75 Electronic computers. Computer science Industry 4.0 concept has put pressure on industries to integrate business intelligence systems (BIS) to process large data sets for intelligent decision-making. Despite its potential, the success of this credible innovation still has a big question mark with 70-80% failure rate. Thus, many scholars have put efforts to find the influential determinants for the BIS implementation in many sectors but neglected the Textile and Apparel (T&A) industry. Although, the T&A industry has great contribution in the development of many developed nations and has become the gate of choice for developing countries to gain the status of developed nations, however, Pakistan is still lagging in this perspective. Therefore, it is imperative to investigate this complex issue and address the lack of any potential framework for examining the current status of the BIS adoption and exploration of the significant determinants that influence its adoption in the T&A industry. To fill this gap, a hybrid Technology- Organization-Environment (TOE) model was proposed to investigate and evaluate the optimal determinants in the individual, technological, organizational, and environmental contexts. This study used a mixed method approach. First, data was collected by conducting twenty-two semi-structured in-depth interviews with industry experts from the T&A industry in Pakistan. Ten determinants emerged after thematic analysis of interview data which were users‘ traits, interpersonal communications, compatibility, technology maturity, leadership commitment and support, satisfaction with existing systems, sustainable data quality and integrity, sustainability, competitive pressure, and market trends. Further, the Best-Worst method was used to calculate the weights for evaluation and ranking the determinants according to their significance. A BIS model was developed based on TOE with ten determinants which were earlier explored using qualitative approach. The proposed BIS model was validated by using a quantitative approach. Quantitative data was collected by conducting a survey with self-administered questionnaires from the T&A industry in Pakistan. Then, the model was evaluated by using Decision-Making Trial and Evaluation Laboratory (DEMATEL) to determine the cause-effect relationships among the determinants. The results of this study would persuade not only the industrial policy makers in the T&A industry but also from other industries to holistically comprehend the significant determinants. It would contribute to the success of BIS adoption and encourage the key stakeholders to invest for BIS projects with minor threat of failure and secure their sustainability in global markets. 2021 Thesis http://eprints.utm.my/id/eprint/101466/ http://eprints.utm.my/id/eprint/101466/1/SumeraAhmadPSC2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150571 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Ahmad, Sumera Business intellengence system adoption model for textile and apparel industry in Pakistan
description	Industry 4.0 concept has put pressure on industries to integrate business intelligence systems (BIS) to process large data sets for intelligent decision-making. Despite its potential, the success of this credible innovation still has a big question mark with 70-80% failure rate. Thus, many scholars have put efforts to find the influential determinants for the BIS implementation in many sectors but neglected the Textile and Apparel (T&A) industry. Although, the T&A industry has great contribution in the development of many developed nations and has become the gate of choice for developing countries to gain the status of developed nations, however, Pakistan is still lagging in this perspective. Therefore, it is imperative to investigate this complex issue and address the lack of any potential framework for examining the current status of the BIS adoption and exploration of the significant determinants that influence its adoption in the T&A industry. To fill this gap, a hybrid Technology- Organization-Environment (TOE) model was proposed to investigate and evaluate the optimal determinants in the individual, technological, organizational, and environmental contexts. This study used a mixed method approach. First, data was collected by conducting twenty-two semi-structured in-depth interviews with industry experts from the T&A industry in Pakistan. Ten determinants emerged after thematic analysis of interview data which were users‘ traits, interpersonal communications, compatibility, technology maturity, leadership commitment and support, satisfaction with existing systems, sustainable data quality and integrity, sustainability, competitive pressure, and market trends. Further, the Best-Worst method was used to calculate the weights for evaluation and ranking the determinants according to their significance. A BIS model was developed based on TOE with ten determinants which were earlier explored using qualitative approach. The proposed BIS model was validated by using a quantitative approach. Quantitative data was collected by conducting a survey with self-administered questionnaires from the T&A industry in Pakistan. Then, the model was evaluated by using Decision-Making Trial and Evaluation Laboratory (DEMATEL) to determine the cause-effect relationships among the determinants. The results of this study would persuade not only the industrial policy makers in the T&A industry but also from other industries to holistically comprehend the significant determinants. It would contribute to the success of BIS adoption and encourage the key stakeholders to invest for BIS projects with minor threat of failure and secure their sustainability in global markets.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ahmad, Sumera
author_facet	Ahmad, Sumera
author_sort	Ahmad, Sumera
title	Business intellengence system adoption model for textile and apparel industry in Pakistan
title_short	Business intellengence system adoption model for textile and apparel industry in Pakistan
title_full	Business intellengence system adoption model for textile and apparel industry in Pakistan
title_fullStr	Business intellengence system adoption model for textile and apparel industry in Pakistan
title_full_unstemmed	Business intellengence system adoption model for textile and apparel industry in Pakistan
title_sort	business intellengence system adoption model for textile and apparel industry in pakistan
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2021
url	http://eprints.utm.my/id/eprint/101466/1/SumeraAhmadPSC2021.pdf
_version_	1776100704829571072

Business intellengence system adoption model for textile and apparel industry in Pakistan

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