From haute couture to fast-fashion : evaluating social transparency in global apparel supply chains

After Rana Plaza collapsed on April 24, 2013, in Dhaka, Bangladesh, and killed more than 1,100 workers, the apparel industry fell under widely publicized scrutiny for its negligent social practices. With consumers and non-governmental organizations aware of these issues and creating public pressure on the industry, many companies are increasingly trying to institute transparency within their supply chains to become socially sustainable. However, transparency so far has not been clearly defined, which makes the process of evaluating transparency difficult and often unpractical. The main goal of this thesis is to establish a framework and methodology that can be used by consumers, brands, and regulatory bodies to define and evaluate social transparency in global supply chains. Building on previous research in this field, we first construct a framework that distinguishes external and internal transparency, after which we identify five factors that drive supply chain transparency. Adaptive survey is then designed and used to evaluate both external and internal transparency, while investigating the role of each factor in shaping supply chain transparency. Due to time constraints and data availability, this thesis focuses primarily on external transparency and two factors: legal and political complexity and supply chain communication. Our quantitative analysis shows that the degree of external transparency increases with the size of brands, which is influenced by legal acts that focus on supply chain transparency. Additionally, our qualitative analysis shows that information asymmetry and lack of standardized auditing system have a detrimental effect on external and, ultimately, internal transparency. We therefore argue that socially responsible national legal regimes and diffusion of technological innovations are necessary to increase the degree of social transparency in global supply chains.

Department dc:contributor.department

Massachusetts Institute of Technology. Engineering Systems Division

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2017

Author dc:creator

• Božić, Denis, S.M. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Alexis H. Bateman and Josué C. Velázquez-Martínez.

• Institute for Data, Systems, and Society.
• Engineering Systems Division.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/111237

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/111237