We examine a supply chain with a single supplier and multiple retailers to predict retailers' actual ordering behaviors. If retailer orders exceed supplier capacity, a proportional rationing rule applies to capacity allocation among retailers. We propose a behavior model based on cognitive hierarchy theory, in which retailers with different levels of strategic-reasoning capabilities form heterogeneous beliefs about other players' capabilities when choosing their orders. This behavioral model yields three interesting predictions. First, retailers' orders increase as the number of retailers decreases or the supplier's production capacity shrinks. Second, the orders tend to increase as the retailer population becomes more "sophisticated." Third, retailers' profits first increase in relation to their strategic-reasoning capabilities and then decrease, indicating an inverted U-shaped relationship between profits and strategic-reasoning capabilities. We experimentally examine the capacity allocation game with participants motivated by financial incentives. The experimental results and structural model estimation confirm the predictions of the behavioral model.
机构:
Wuhan Univ, Econ & Management Sch, Wuhan 430072, Hubei, Peoples R ChinaWuhan Univ, Econ & Management Sch, Wuhan 430072, Hubei, Peoples R China
Dai, Bin
Nu, Yu
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Wuhan Univ, Econ & Management Sch, Wuhan 430072, Hubei, Peoples R China
Cornell Univ, Samuel Curtis Johnson Grad Sch Management, Ithaca, NY USAWuhan Univ, Econ & Management Sch, Wuhan 430072, Hubei, Peoples R China
机构:
Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Shao, Qi
Cheung, Man Hon
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Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Cheung, Man Hon
Huang, Jianwei
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Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China