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

Abstract

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.