Statistical Assessment of Business Intelligence System Adoption Model for Sustainable Textile and Apparel Industry

Sumera Ahmad,Suraya Miskon,Rana Alabdan,Iskander Tlili

doi:10.1109/access.2021.3100410

Abstract

The textile and apparel industry is one of the biggest competitive industries in the world. Nowadays, industry 4.0 concepts put pressures on textile and apparel companies to integrate advanced technologies. Consequently, Business Intelligence (BI) systems are diffusing rapidly to process large data sets to harness the true value of smart technologies. Regardless of its potentials, most textile and apparel companies are lagging and hesitating to adopt this credible innovation in the presence of a high failure rate (70%-80%) especially in developing countries. To achieve the successful adoption of BI systems, statistical assessment is required to better understand this complex phenomenon. Therefore, a BI system model based on Technology-Organization-Environment (TOE) is developed to evaluate the role of potential determinants pertaining to the users, technology, organization, and environment. Data were collected using a survey with self-administered questionnaires from decision-makers with authoritative designations in the textile and apparel industry, academia, and software companies. Influential relationships among critical determinants were assessed and validated by using Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. The results of this study would contribute to the success of costly BI system projects and will motivate the industry experts to potentially assign investments for the BI projects in the developing countries to sustain in the competitive markets.

Highlights

The textile and apparel industry is the world‟s oldest and mature industry and has great importance in terms of employment, revenue, investment and trade that contribute to the world economy with a significant percentage [1]
This study argues that these business conditions and market circumstances are considered for the assessment of significant determinants which influence the adoption of BIS in the textile and apparel industry
The current study emphasizes on the adoption of Business Intelligence (BI) system in the textile and apparel industry, survey required to possess a concise comprehension of this complex system and adoption related challenges

Summary

Introduction

The textile and apparel industry is the world‟s oldest and mature industry and has great importance in terms of employment, revenue, investment and trade that contribute to the world economy with a significant percentage [1]. Industry experts are installing and integrating the Customer Relationship Management (CRM), Supply Chain Management (SCM), Enterprise Resource Planning (ERP), and Human Resource Management (HRM) systems to sustain in complex business environments [6]. These conventional value-based systems are certainly not designed to benefit all fields of industry and are unable to support. In 1973, the Battelle Memorial Institute of Geneva introduced the DEMATEL technique with the aim of obtaining integrated solutions for complex and intricate problems [60] This approach has been broadly utilized as one of the means to demonstrate the cause-effect dependency relationship between evaluation criteria [61]. The five-point scale is used with values 0, 1, 2, 3, and 4, which are assumed to represent the degree of impact from “(0) No influence,” “(1) Low influence,” “(2) Medium degree influence,” “(3) High influence,” to “(4) Very high influence.”

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Results