Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era

In this paper, the authors study the fashion quick response program with social media observations, demand forecast updating, and a boundedly rational retailer. They analytically find that the likelihood of having good social media comments on the product plays a critical role in affecting the value of quick response, and its impact is mediated by the fashion retailer’s prior attitude towards the market demand. The authors then demonstrate how a Pareto improving situation can be achieved under quick response, and uncover that manipulating social media comments can benefit the manufacturer under the surplus sharing contract, but not under the two-part tariff contract.

• Record URL:
  • https://doi.org/10.1016/j.tre.2016.11.006
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1366554516301806
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• Authors:
  • Choi, Tsan-Ming
• Publication Date: 2018-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; References; Tables;
• Pagination: pp 386-397
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 114
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Retail trade; Social media; Supply chain management
• Uncontrolled Terms: Big data; Bounded rationality framework
• Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting;

Filing Info

• Accession Number: 01673077
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 22 2018 4:42PM