PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 10, 2026Discrete Dynamics in Nature and Society0 citationsOpen Access

Cooperative Cross‐Channel Recommendation for an Offline Retailer and an Online Competitor

View Full Paper
JQJu QiuXLXiaozheng Li

Key Points

  • The aim is to explore the benefits and challenges of offline retailers recommending online products from competitors.
  • Analyzed the effects of recommendations on product sales
  • Considered the price-performance ratio of products
  • Examined cooperation conditions based on cost coefficients and recommendation efforts
  • Offline retailers are inclined to recommend online-exclusive products without a commission
  • The online retailer may not gain from all recommendations
  • High cost coefficients and moderate recommendation efforts facilitate cooperation

Abstract

This paper investigates whether the offline retailer should cooperate with an online competitor to recommend online‐exclusive products to in‐store shoppers. A key finding is that the offline retailer is willing to recommend the online retailer’s exclusive products even if there is no cooperation commission. Interestingly, the recommended online retailer does not always benefit from the offline competitor’s recommendation. Because such cross‐channel cooperative recommendations not only generate a positive promotion effect on the recommended exclusive product but also a negative cannibalization effect on the overlapping product which is sold by both retailers. When the price‐performance ratio of the recommended product is low, the online retailer is profitable under the cooperative case. Recommendation effort is another main factor affecting the conditions under which the two competing retailers cooperate on cross‐channel recommendations. The cooperation will be achieved when (1) the cost coefficient is high and the offline retailer exerts a moderate level of recommendation effort or (2) the cost coefficient is low and the offline retailer exerts more recommendation effort. This implies that optimizing recommendation mechanisms and processes to control costs is significant. The managerial insights can help practitioners and academics to further understand the impacts of recommendation systems on product sales and firm profits.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Qiu et al. (2026) studied this question.

synapsesocial.com/papers/69af94fa70916d39fea4c229https://doi.org/10.1155/ddns/5450571
Ask AI
Helpful
Bookmark
Share
View Full Paper