Transparency of Global Apparel Supply Chains: Quantitative Analysis of Corporate Disclosures

Jin, Yoon; Lee, Hyun-Hwa; Goerlitz, Kylie

doi:10.1002/csr.1378

Cited by 42 publications

(31 citation statements)

References 26 publications

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“…Socially unethical business practices have also been reported in the industry, as meeting highly unpredictable consumer demand for products and the risks involved in early commitment to large portions of their production far in advance becomes increasingly challenging (e.g., Catholic Online 2014; Minney 2011). Most apparel companies often seek to minimize costs of products through sourcing overseas (Ma et al 2016;Wallace et al 2012). Due to the complex nature of the apparel supply chain, labour violations such as working overtime, payment far less than minimum wage, and using child or forced labour have been observed in garment manufacturing facilities in less developed countries (Kunz and Garner 2011;Ma et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Most apparel companies often seek to minimize costs of products through sourcing overseas (Ma et al 2016;Wallace et al 2012). Due to the complex nature of the apparel supply chain, labour violations such as working overtime, payment far less than minimum wage, and using child or forced labour have been observed in garment manufacturing facilities in less developed countries (Kunz and Garner 2011;Ma et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model

2017

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This study explores consumers’ perceptions of sustainability labels on apparel products and examines sustainability labels as an effective means of determining consumers’ purchase intentions, using the technology acceptance model (TAM) as the foundation. Data were collected via self-administered web-based surveys from 903 randomly selected shoppers throughout the United States (U.S.). Findings validated that perceived ease of use, perceived usefulness, attitudes, and purchase intention were associated with consumers’ use of sustainability labels. Within those four variables, sustainability label users exhibited significantly higher scores than non-label users, though the path relationships among those variables were not different between the two groups. This study is one of the first to use TAM to understand how consumers perceive and use sustainability labels for apparel products. Through this application, label reading behaviour is viewed similarly to how consumers use new informational sources for their decision making process. The findings provide practical implications for business marketers and managers of sustainability apparel products. As this study focused on sustainability labels and apparel product shopping among U.S. consumers, it may be limited to apply findings to other product categories and may be limited to consumers outside the U.S.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model

2017

Self Cite

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“…To remain competitive in their markets, companies should invest in socioenvironmental issues, always seeking to eliminate antiethical actions in the supply chain (Ma, Lee, & Goerlitz, ). For Doorey (), voluntary reporting seeks to stimulate socioenvironmental responsibility in supply chain management, because reporting is one way to reveal to users how it contracts suppliers, manufactures its products, and conducts its labor practices.…”

Section: Theoretical Referencementioning

confidence: 99%

Reporting on supply chain sustainability: Measurement using item response theory

Fernandes

Bornia

2018

Corp Soc Responsibility Env

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The purpose of this article is to measure the level of reporting about supply chain sustainability using item response theory (IRT). IRT allows inserting items and their respondents into a single scale and creating interpretable scales. An instrument composed of 24 items was prepared and applied to 345 sustainability reports from companies in 21 sectors of the Brazilian economy. It used Samejima's gradual response model to construct a scale to measure the level of reporting on supply chain sustainability. As a result, five interpretable levels were identified in the scale constructed (Minimum, Low, Medium, Medium High and High). The reporting about the supply chain in most of the sustainability reports analyzed (48.41%) is concentrated at the scale's lowest or minimum level: 24.93% are at the second or low level, 2.61% are at the medium level, and only 0.29% of the reports are at the high level of the scale.

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“…Although the sector provides valuable employment opportunities to large numbers of low-income workers worldwide [5], it is also frequently associated with poor working conditions and labor crises, especially in labor-intensive garment manufacturing operations in lower labor cost countries [6][7][8][9][10]. To reduce its negative social impact in terms of worker exploitation, the apparel industry is increasingly engaging in corporate social responsibility (CSR) initiatives on a global scale, some of which are related to decent work [2,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Decent Work in the Chinese Apparel Industry: Comparative Analysis of Blue-Collar and White-Collar Garment Workers

et al. 2017

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Addressing labor issues in the apparel industry is significantly important due to customers' increasing awareness of poor working conditions and growing labor crises in apparel production locations worldwide. Decent work is a key element to achieving fair and harmonious employment, but is not always evident in global apparel production networks. This study examines the working conditions in China's garment manufacturing industry, which employs more than 10 million workers. A survey was administered to 313 blue-collar workers and 228 white-collar workers on issues related to decent work, including workers' concerns, satisfaction levels and attitudes towards decent work. Regression analysis showed that workers' attitudes are significantly related to age, education level, service length and monthly wage. Gap analysis revealed poor understanding of decent work and low satisfaction with primary indicators of decent work. However, results suggest that workers increasingly value soft factors and the overall work experience, not only financial benefits. Cluster analysis identified four clusters of workers. This study contributes to understanding garment worker perceptions of decent work and provides implications for the operationalization of decent work in China's garment manufacturing industry.

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Transparency of Global Apparel Supply Chains: Quantitative Analysis of Corporate Disclosures

Cited by 42 publications

References 26 publications

Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model

Perceived ease of use and usefulness of sustainability labels on apparel products: application of the technology acceptance model

Reporting on supply chain sustainability: Measurement using item response theory

Decent Work in the Chinese Apparel Industry: Comparative Analysis of Blue-Collar and White-Collar Garment Workers

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