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Zhi Pei

Researcher at Texas A&M University–Commerce

Publications -  21
Citations -  870

Zhi Pei is an academic researcher from Texas A&M University–Commerce. The author has contributed to research in topics: Channel coordination & Supply chain. The author has an hindex of 14, co-authored 21 publications receiving 646 citations. Previous affiliations of Zhi Pei include Oklahoma State University–Stillwater & Indiana University.

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Retail services and firm profit in a dual-channel market

TL;DR: In this article, the authors focus on the strategic role played by the retail services in a dual-channel competitive market and suggest that the improved retail services effectively alleviate the channel competition and conflict and improve the supply chain performance in a competitive market.
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E-tailer׳s return policy, consumer׳s perception of return policy fairness and purchase intention

TL;DR: In this article, the authors empirically show that an e-tailer's return depth has a positive influence on the consumer's perceived fairness of the return policy and purchase intention.
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Information asymmetry, pricing strategy and firm's performance in the retailer- multi-channel manufacturer supply chain

TL;DR: In this paper, the effect of information sharing on the performance of a retailer-multi-channel manufacturer (with online and traditional retail channels) supply chain is examined. And a bargaining model is utilized to implement profit sharing for the multi-channel manufacturers and retailers so that an information sharing equilibrium can be reached.
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Manufacturer's cooperative advertising, demand uncertainty, and information sharing

TL;DR: In this article, the authors examine the value of manufacturer-retailer cooperative advertising and its strategic influence on information sharing of the manufacturer and the retailer in a dual-channel distribution.
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The Strategic Value of Cooperative Advertising in the Dual-Channel Competition

TL;DR: This research uses a game-theoretical model to show that a cooperative advertising program can be utilized as an effective coordinative mechanism to alleviate dual-channel competition and thus help to improve the channel as a whole and the individual channel members’ performance.