Should a better-informed manufacturer hold pricing power for the direct channel: The role of consumer reviews

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Decision Support Systems Pub Date : 2025-01-31 DOI:10.1016/j.dss.2025.114408
Musen Xue , Jiahui Guo , Lin Feng
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引用次数: 0

Abstract

Manufacturers can effectively obtain precise demand information through the utilization of data analysis technologies. These better-informed manufacturers commonly distribute their products not only through traditional offline retailers but also via direct sales channels. In this context, distinct pricing strategies for online channels, namely holding pricing power and giving up pricing power, can be observed in practice. Furthermore, these online channels also enable consumers to post consumer reviews, which significantly impacts consumers’ purchasing decisions. By applying a signaling game, our study examines the interaction between pricing strategy of a direct sales channel and consumer reviews. Our findings indicate that consumer reviews significantly influence the determination of the optimal pricing strategy of direct channel for a better-informed manufacturer. Holding pricing power is always the optimal strategy when the direct channel functions as an authentic distribution channel. However, giving up pricing power can be optimal when the direct channel personates a competitive threat, conditional on the travel cost of traditional channel and the information disclosed through consumer reviews. Contrary to expectations, manufacturer’s retention of pricing power for the direct channel can benefit the retailer when the travel cost to the traditional channel is moderate and the information disclosed in consumer reviews does not exhibit extreme negativity or positivity. Additionally, our findings indicate that the chain members can acquire an agreement on the direct channel’s pricing strategy, which results in a win-win outcome, thereby improving supply chain efficiency.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
期刊最新文献
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