Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Cause Marketing: Product Pricing, Design, and Distribution

Authors: Fei Gao 0007;

Cause Marketing: Product Pricing, Design, and Distribution

Abstract

Problem definition: In a cause marketing (CM) campaign, a firm donates part of its sales revenue to a charity for a social cause when customers purchase the cause-linked product. We study a firm’s pricing decisions with CM and the implications for the participating charity. We also consider the design and distribution of cause-linked products. Academic/practical relevance: CM has become popular in recent years. However, there is little analytical work on how a firm’s strategic actions (e.g., product pricing, design, and distribution) impact the effectiveness of a CM campaign. We address this gap. Methodology: Game theory. Results: First, it may be optimal for the firm to decrease the price after the implementation of CM despite the donation cost. Second, a higher level of firm–cause fit may lead to a smaller total donation amount to the charity in a CM campaign. Third, the choice to design a special version of the product for a CM campaign depends on the size of the prosocial segment in the market. Fourth, a decentralized supply chain may generate more social value through CM compared with the centralized case. Managerial implications: For firms, we show that it may not be optimal to increase the price of cause-linked products and identify conditions where firms should introduce a special product in a CM campaign. For charities, we show that a high firm–cause fit level may have a negative effect on the total donation amount and further identify conditions under which charities should collaborate with a downstream retailer or an upstream manufacturer in a CM campaign. Our results indicate that the correlation between customer preferences for the product and the social cause has a significant impact in a CM campaign for both firms and charities.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    57
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
57
Top 1%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!