Document Type
Article
Publication Date
7-9-2020
Publication Title
Annals of Operations Research
Volume
329
First Page
249
Last Page
276
DOI
10.1007/s10479-020-03711-8
Keywords
Advertising effectiveness, Signaling game, Asymmetric information, Information sharing
Disciplines
Advertising and Promotion Management | Marketing
Abstract
In this paper, we study a two-stage model in which a manufacturer expands to a new market through a local retailer and has private information on the advertising effectiveness. The manufacturer chooses the information sharing format with the retailer, either no information sharing or mandatory information sharing. Under no information sharing format, the manufacturer and the retailer play a signaling game. We derive both separating and pooling equilibria and conduct equilibrium refinements for the signaling game. Under mandatory information sharing format, the manufacturer simply informs the retailer the advertising effectiveness. We also establish the stylized model and derive the optimal advertising effort. By comparing the manufacturer’s ex ante profit under the two information sharing formats, we find that the manufacturer always prefers mandatory information sharing, under which both the advertising effort and profit can be higher. We also observe that unlike the common case that the channel members may have different preference over the information sharing formats, the manufacturer and the retailer can actually achieve alignment. While some previous studies suggest that the manufacturer and the retailer may have different preference over the information sharing formats, we find that they can actually achieve alignment with asymmetric information on advertising effectiveness.
Recommended Citation
Qingying Li, Hao Ding, Tianqin Shi, Yanli Tang (2023). To Share or Not to Share: The Optimal Advertising Effort with Asymmetric Advertising Effectiveness, Annals of Operations Research, 329, 249-276. https://doi.org/10.1007/s10479-020-03711-8.
Comments
This is a post-peer-review, pre-copyedit version of an article published in Annals of Operations Research. The final authenticated version is available online at: https://doi.org/10.1007/s10479-020-03711-8.
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