Two-way information sharing of uncertain demand forecasts in a dual-channel supply chain. (July 2022)
- Record Type:
- Journal Article
- Title:
- Two-way information sharing of uncertain demand forecasts in a dual-channel supply chain. (July 2022)
- Main Title:
- Two-way information sharing of uncertain demand forecasts in a dual-channel supply chain
- Authors:
- Dai, Ying
Dou, Lei
Song, Han
Zhou, Lin
Li, Haiyan - Abstract:
- Highlights: Demand forecasts information sharing in a dual-channel supply chain is investigated. The impact of big data technology on supply chain members' expected profit is examined. The information strategy made by members in dual-channel supply chain is studied. The information symmetry cannot be achieved in a dual-channel supply chain. Abstract: This paper considers a dual-channel supply chain composed of a manufacturer and a retailer in which each member obtains heterogeneous forecasting information about uncertain demand through big data technology investment. We study the decision-making problem of supply chain members in four information sharing scenarios including non-information sharing, forward information sharing, reverse information sharing and full information sharing respectively. Our model identifies the effects generated by forecasting information on wholesale price decision and product quantity decisions, which we term the strategy and the agility effect. Furthermore, we examine the influence of big data technology investment on supply chain members' expected profits and information strategies. The results show that two-way information sharing benefits the manufacturer but hurts the retailer when the competition between two channels is less intense. However, when there is a fierce competition between two channels, the manufacturer is instead reluctant to communicate information with the retailer if the retailer invests at a low level in big data technologyHighlights: Demand forecasts information sharing in a dual-channel supply chain is investigated. The impact of big data technology on supply chain members' expected profit is examined. The information strategy made by members in dual-channel supply chain is studied. The information symmetry cannot be achieved in a dual-channel supply chain. Abstract: This paper considers a dual-channel supply chain composed of a manufacturer and a retailer in which each member obtains heterogeneous forecasting information about uncertain demand through big data technology investment. We study the decision-making problem of supply chain members in four information sharing scenarios including non-information sharing, forward information sharing, reverse information sharing and full information sharing respectively. Our model identifies the effects generated by forecasting information on wholesale price decision and product quantity decisions, which we term the strategy and the agility effect. Furthermore, we examine the influence of big data technology investment on supply chain members' expected profits and information strategies. The results show that two-way information sharing benefits the manufacturer but hurts the retailer when the competition between two channels is less intense. However, when there is a fierce competition between two channels, the manufacturer is instead reluctant to communicate information with the retailer if the retailer invests at a low level in big data technology but the manufacturer's big data technology investment level is high. Finally, we find that in the dual-channel supply chain, the equilibrium information strategy only occurs in the non-information sharing case and forward information sharing case, so the information symmetry cannot be achieved because the retailer has no incentive to reveal the information. Moreover, the numerical study is conducted to illustrate the information sharing mechanism under different channel competition conditions. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 169(2022)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 169(2022)
- Issue Display:
- Volume 169, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 169
- Issue:
- 2022
- Issue Sort Value:
- 2022-0169-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-07
- Subjects:
- Dual-channel supply chain -- Vertical information sharing -- Big data technology -- Uncertain demand
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2022.108162 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22113.xml