Work Description

Title: Social sustainability and human rights in global supply chains -- Coding of supplier codes of conduct Open Access Deposited

h
Attribute Value
Methodology
  • We identified all firms in the manufacturing and extractive industries represented in the S&P 500 and FTSE 350 indices (N=486). For 245 of these firms, we obtained the proprietary codes of conduct. The collection of codes had development dates between 2007 and 2018. Coding in the excel sheet indicates the major areas of coverage in the supplier code.
Description
  • As part of a larger research study on social sustainability and human rights, this research examines the supplier codes of conduct lead firms adopt to achieve their social supply chain sustainability goals.
Creator
Creator ORCID
Depositor
  • yinyinc@umich.edu
Contact information
Discipline
Keyword
Date coverage
  • 2007 to 2018
Citations to related material
  • Cao, Y., Lawson, B., & Pil, F. K. (2023). Social sustainability and human rights in global supply chains, International Journal of Operations & Production Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJOPM-10-2022-0670.
Resource type
Last modified
  • 08/31/2023
Published
  • 08/31/2023
Language
DOI
  • https://doi.org/10.7302/zn85-4q45
License
To Cite this Work:
Cao, Y., Lawson, B., Pil, F. K. (2023). Social sustainability and human rights in global supply chains -- Coding of supplier codes of conduct [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/zn85-4q45

Relationships

This work is not a member of any user collections.

Files (Count: 1; Size: 54.3 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Analysis_of_supplier_codes_of_co....xlsx 2023-08-24 2023-08-24 54.3 KB Open Access

Download All Files (To download individual files, select them in the “Files” panel above)

Best for data sets < 3 GB. Downloads all files plus metadata into a zip file.



Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.