Information sharing in the presence of retailer's risk aversion and altruism

Author:

Huang He1,Li Wenping1,Li Shiying2,Xu Hongyan1ORCID

Affiliation:

1. School of Economics and Business Administration Chongqing University Chongqing 400044 China

2. School of Public Administration Sichuan University Chengdu 610065 China

Abstract

AbstractIn highly uncertain times, firms are increasingly exhibiting risk aversion to uncertain demand and altruism to supply chain partners to reduce risk and maintain stability. To deal with high demand fluctuations, numerous firms are adopting information‐sharing strategies. We study how a retailer's risk aversion and altruism affect her demand information‐sharing decision by constructing game‐theoretic models. We first show that information sharing makes double marginalization (DM) stronger and hurts the retailer and generates an information‐sharing DM effect. The retailer's risk aversion strengthens this effect, while her altruism weakens the effect. Meanwhile, information sharing generates an uncertainty reduction effect on the risk‐averse retailer by reducing volatility and an altruism improvement effect on the altruistic retailer by increasing the manufacturer's profit. Whether information sharing benefits the retailer depends on her level of risk aversion and altruism. The retailer prefers voluntary sharing when both her risk aversion and altruism are high.

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Reference69 articles.

1. Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem

2. Alibaba 2021. Global industry best practices on Alibaba cloud for retail and e‐Commerce. Available athttps://resource.alibabacloud.com/whitepaper/global‐industry‐best‐practices‐on‐alibaba‐cloud‐for‐retail‐and‐e‐commerce_3387?spm=a3c0i.11506534.6427029420.1.87914c2clfkXT1(accessed 19 January 2022)

3. The effect of information superiority on a supply chain of virtual products

4. Berthiaume D. 2021. Sephora improves forecasting replenishment with AI. Available athttps://chainstoreage.com/sephora‐improves‐forecasting‐replenishment‐ai(accessed 25 April 2022)

5. Demand information sharing in a two‐echelon supply chain with a risk‐averse retailer: retail price decision versus retail quantity decision

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