Sustainability topic trends in the textile and apparel industry: a text mining-based magazine article analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jitong Li ◽  
Karen K. Leonas
Keyword(s):  
Supply Chain ◽  
Text Mining ◽  
Correlation Coefficients ◽  
Implementation Process ◽  
Apparel Industry ◽  
Sustainable Supply Chain ◽  
Sustainable Practices ◽  
Content Type ◽  
Textile And Apparel ◽  
Textile And Apparel Industry

PurposeThe purpose of this study is to (1) identify the sustainable practices developed by the textile and apparel industry and (2) investigate the gaps and opportunities in the sustainability implementation process by quantitively analyzing the sustainability topics and the relevant topic trends.Design/methodology/approachThis study employed text mining techniques. A total of 1,168 relevant magazine articles published from 2013 to 2020 were collected and then categorized according to their tones. In total, 36 topics were identified by reviewing the sustainability issues in the industry. The frequency of each topic mentioned in the articles and the correlation coefficients between topics' frequencies and published time were calculated. The results were used to examine if the three sustainability dimensions (environment, society, economy) were equally addressed and identify opportunities in the sustainability implementation process.FindingsThere were much fewer social and economic topics than environmental topics discussed in the articles. Additionally, there were not enough practices developed to reduce microfiber pollution, improve consumers' knowledge of sustainability, offset the carbon footprint, build a transparent, sustainable supply chain and avoid animal cruelty.Originality/valueThere is a lack of research focusing on the whole supply chain and sustainability when investigating sustainable practices and topic trends. This study fills a part of the gap. The results can be used by industrialists to identify sustainable practice opportunities and better manage their sustainable supply chains. Researchers can utilize the results to compare the topics in the industry with the topics studied in academia.

scholarly journals Strategic sourcing, sourcing capability and firm performance in the US textile and apparel industry

2012 ◽  
Vol 5 (2) ◽  
pp. 145-165 ◽  
Author(s):  
Jin Su ◽  
Vidyaranya B. Gargeya
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Apparel Industry ◽  
Chain Management ◽  
Content Type ◽  
Strategic Sourcing ◽  
The Us ◽  
Textile And Apparel ◽  
Textile And Apparel Industry

PurposeWith the intense competition in the global textile and apparel industry and the uncertainty of the global textile and apparel business environment, sourcing has increasingly assumed a pivotal strategic role in textile and apparel supply chain management. Strategic sourcing is crucial for firms to obtain or sustain competitiveness in world marketplace. The purpose of this paper is to examine empirically how strategic sourcing and sourcing capability impact firm performance in the US textile and apparel industry.Design/methodology/approachEmpirical survey‐based research methodology was implemented to examine the research questions and model. Data were collected from the 152 firms in the US textile and apparel industry.FindingsThe findings show that strategic sourcing leads to greater emphasis on sourcing capability and positively impacts firm performance.Originality/valueThe study contributes to understanding of supply chain management using data from the US textile and apparel industry to investigate the relationships between strategic sourcing, sourcing capability, and firm performance and to test the research hypotheses by quantitative survey‐based research method. The textile and apparel industry is dynamic, global, diverse, and complex, and is a prime exemplifier of globalization. The study clearly demonstrates that strategic sourcing plays a vital role in a firm's business operations and puts greater emphasis on developing the sourcing manager's business capability.

scholarly journals Customer Behavior on Purchasing Channels of Sustainable Customized Garment With Perceived Value and Product Involvement

2020 ◽  
Vol 11 ◽  
Author(s):  
Zhenfang Li ◽  
Jia Yuan ◽  
Bisheng Du ◽  
Junhao Hu ◽  
Wenwen Yuan ◽  
...  
Keyword(s):  
Supply Chain ◽  
Perceived Risk ◽  
Perceived Value ◽  
Apparel Industry ◽  
Value Theory ◽  
Purchasing Decisions ◽  
Product Involvement ◽  
Perceived Values ◽  
Textile And Apparel ◽  
Textile And Apparel Industry

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.

Contingency factors and reshoring drivers in the textile and apparel industry

2018 ◽  
Vol 29 (6) ◽  
pp. 1025-1041 ◽  
Author(s):  
Megan E. Moore ◽  
Lori Rothenberg ◽  
Harry Moser
Keyword(s):  
Significant Relationship ◽  
Quantitative Research ◽  
Secondary Data ◽  
Apparel Industry ◽  
Skilled Workers ◽  
Content Type ◽  
The Us ◽  
Textile And Apparel ◽  
Apparel Companies ◽  
Textile And Apparel Industry

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.

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