Shopping in the omnichannel supply chain under price competition and product return

被引:32
|
作者
Meena, Purushottam [2 ]
Jena, Sarat Kumar [1 ]
机构
[1] XIM Univ, Xavier Inst Management, Dept Operat Management, Bhubaneswar 751013, Orissa, India
[2] Coll Charleston, Sch Business, Dept Supply Chain & Informat Management, Charleston, SC 29424 USA
关键词
Test-in-store-and-buy-online; Omnichannel retailing; Supply chain competition; Supply chain integration; Return policy; OMNI-CHANNEL; BUY-ONLINE; STRATEGIES; PLATFORM; SERVICE; POLICY; FUTURE; INFORMATION; IMPACT;
D O I
10.1016/j.jretconser.2021.102848
中图分类号
F [经济];
学科分类号
02 ;
摘要
In recent years, omnichannel retailing has created value for prospective consumers. The rise of omnichannel retailing has changed consumers' buying habits, and manufacturers are facing stiff competition from retailers. To reduce this competition effect, manufacturers and retailers often work together to reduce showroom display costs. Despite this practice, there is little understanding of how omnichannel retailing impacts supply chain (SC) profit under competitive conditions. We investigate the test-in-store-and-buy-online (TSBO) retailing strategy and its impact on SC profit and price competition between manufacturers. The retailer sells products of both manufacturers through its website but displays products of only one manufacturer in the showroom, which bears the displaying cost. The retailer adopts a return policy for the other manufacturer. Stackelberg game was used to examine how members of the chain interact, and Nash equilibrium was used to find optimal strategies for players under decentralized and integrated channels. The results show that the TSBO strategy in retailing benefits all supply chain players under the integrated channel. A further interesting finding is that omnichannel SC profits are highest when retailers adopt a return policy. When two manufacturers compete and adopt different sales models, the manufacturer who uses the TSBO retail model reaps the most profit. Several other managerial insights are drawn from sensitivity analyses.
引用
收藏
页数:15
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