Demand Forecast Sharing is a strategic information exchange practice in which competing firms disclose their internal demand projections to one another, distinguished from other forms of data sharing by its focus on revealing forward-looking, firm-specific estimates of future market demand to enhance supply chain coordination while navigating the tension between transparency and competitive advantage.
68
Publications
6.9K
Citations
172
Authors
122
Institutions
Publications per year
2017–2026
27
Publications
68
To Share or Not to Share: Demand Forecast Sharing in a Distribution Channel
Baojun Jiang, Lin Tian, Yifan Xu et al. · Marketing Science · 2016 · 260 citations
1–5 of 68
Authors
172
- HL
3
h-index
- HS
3
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- NS
3
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- XY
3
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- LB
2
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1–5 of 172
Institutions
122
University of California San Diego
San Diego, United States
5 h-index
5 publications
343 citations
Tel Aviv University
Tel Aviv, Israel
4 h-index
5 publications
325 citations
The University of Texas at Dallas
Richardson, United States
3 h-index
3 publications
449 citations
California State University, San Marcos
San Marcos, United States
3 h-index
4 publications
151 citations
University of Wisconsin–Milwaukee
Milwaukee, United States
3 h-index
4 publications
904 citations
Chongqing University
Chongqing, China
3 h-index
8 publications
236 citations
University of Pittsburgh
Pittsburgh, United States
2 h-index
4 publications
160 citations
Duke University
Durham, United States
2 h-index
2 publications
263 citations
1–8 of 122
Venues
- Management Science
9 publications · 2.2K citations
9
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- European Journal of Operational Research
7 publications · 832 citations
7
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- Production and Operations Management
POMS · 5 publications · 318 citations
5
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- SSRN Electronic Journal
Repository · 4 publications · 86 citations
4
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- International Journal of Production Economics
3 publications · 273 citations
3
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1–5