Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/4223
Title: | Demand variability, forecasting accuracy, and supply information sharing |
Authors: | Dr. ZHOU Qiang Lee, Meina Grace Lee, Tien-sheng |
Issue Date: | 2013 |
Source: | International Journal of Management Theory and Practices, Aug 2013, vol. 14(1), pp. 5-24. |
Journal: | International Journal of Management Theory and Practices |
Abstract: | Decision-making needs information. Enterprises in a supply chain make daily operating decisions on the basis of available information of demand and supply. The behaviors of supply chain members would be different under information sharing than otherwise. Demand-side information sharing has been intensively explored. However, supply-side information sharing has not been extensively investigated. This paper examined the impact of supply-side information sharing in a three-stage capacitated supply chain simulation model. In addition, it scrutinized how demand variability and forecasting accuracy moderate the value of supply information sharing. This paper contributes to extending the content and scope of supply chain chain information sharing research. The findings provide important reference for supply chain managers to implement supply information sharing in order to improve decision-making process, reduce uncertainties, and increase visibility in supply chain operations. |
Description: | Free Online Access |
Type: | Peer Reviewed Journal Article |
URI: | http://hdl.handle.net/20.500.11861/4223 http://www.myacme.org/ijmtp/IJMTPV14N1/2%20IJMTP14010%20Zhou%20Draft%203%20final.pdf |
ISSN: | 1532-5679 |
Appears in Collections: | Business Administration - Publication |
Find@HKSYU Show full item record
Page view(s)
128
Last Week
2
2
Last month
checked on Nov 21, 2024
Google ScholarTM
Impact Indices
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.