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

2020 ◽  
Vol 12 (18) ◽  
pp. 7674
Author(s):  
Sumera Ahmad ◽  
Suraya Miskon ◽  
Rana Alabdan ◽  
Iskander Tlili

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.

2018 ◽  
Vol 29 (6) ◽  
pp. 1025-1041 ◽  
Author(s):  
Megan E. Moore ◽  
Lori Rothenberg ◽  
Harry Moser

Purpose The purpose of this paper is to examine the relationship between contingency factors and reshoring drivers in the US textile and apparel industry. Design/methodology/approach Secondary data on the reshoring drivers and contingency factors for 140 US textile and apparel companies are analyzed using analysis of proportions. Findings The findings show that total annual revenue is significantly related to the reshoring driver of skilled workforce. No significant relationships are present between reshoring drivers and the region of the world reshored from not the region of the USA from which a company operates. There is a significant relationship between market segment and the reshoring driver of manufacturing process. The US production category (reshored, FDI, or kept from offshoring) exhibits a significant relationship with sustainability-related and cost-related reshoring drivers. Quality is a significant driver for reshoring from 2010 to 2016, although decreasing as a reported reason over that time period. Research limitations/implications Limitations include a focus on one industry, the lack of information to investigate the differences between companies making captive or outsourced reshoring decisions, and the use of companies who publicly announced reshoring. Practical implications This study outlines the relationships between contingency factors and reshoring drivers. The results provide companies with information about resources that will be demand (e.g. skilled workers) as well as policies and regulations that may be developed to address concerns such as sustainability. Originality/value This study adds to the limited number of studies on the relationships between contingency factors and reshoring drivers and contributes to the quantitative research on reshoring drivers.


2012 ◽  
Vol 3 (8) ◽  
pp. 1-3 ◽  
Author(s):  
Vandana Gupta ◽  
◽  
Neha Gupta ◽  
Nirmal Yadav ◽  

2012 ◽  
Vol 47 (1) ◽  
pp. 231-260
Author(s):  
TIMOTHY J. MINCHIN

This article explores the demise of the Crompton Company, which filed for bankruptcy in October 1984, causing 2,450 workers in five states to lose their jobs. Crompton was founded in 1807 in Providence, Rhode Island and when it went out of business it was the oldest textile firm in the country, having been in continuous operation for 178 years. Despite its history, scholars have overlooked Crompton, partly because most work on deindustrialization has concentrated on heavy manufacturing industries, especially steel and automobiles. I argue that Crompton's demise throws much light on the broader decline of the American textile and apparel industry, which has lost over two million jobs since the mid-1970s, and shows that textiles deserve a more central place in the literature. Using company papers, this study shows that imports played the central role in causing Crompton's decline, although there were also other problems, including the strong dollar, declining exports, and a reluctance to diversify, which contributed to it. The paper also explores broader trends, including the earlier flight of the industry from New England to the South and the industry's unsuccessful campaign to pass import-restriction legislation, a fight in which Crompton's managers were very involved.


2020 ◽  
Vol 11 ◽  
Author(s):  
Zhenfang Li ◽  
Jia Yuan ◽  
Bisheng Du ◽  
Junhao Hu ◽  
Wenwen Yuan ◽  
...  

Online shopping for customized garments has become the fastest-growing field of the Chinese eBusiness market. Most consumers not only limit themselves to buying standardized garments but also want to buy garments customized to their preferences. This phenomenon has pushed the fashion textile and apparel industry to change its supply chain operations to meet the customization demand. Besides, the fashion textile and apparel industry also want to study how different channel factors will affect consumers' perceived value and further influence consumers' purchasing decisions. We initiated this study and empirically tested more than 200 experienced consumers. This study collaborated with a fashion textile and apparel company that aims to implement customized product lines soon. Based on the perceived value theory and risk management theory, we investigated whether product involvement and channel identification on supply chain design will affects potential customized product consumers' purchasing decisions. The findings reveal that channel recognition affects consumer decisions by having a positive impact on their perceived value. The perceived risk and shopping channel involvement of consumers have a negative impact on their perceived values and channel selections. In addition, product involvement has a moderating effect on the relationship between channel's perceived risk, perceived values, and channel selections as well.


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