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Erschienen in: Quantitative Marketing and Economics 2/2018

29.12.2017

Flirting with the enemy: online competitor referral and entry-deterrence

verfasst von: Jianqiang Zhang, Zhuping Liu, Raghunath Singh Rao

Erschienen in: Quantitative Marketing and Economics | Ausgabe 2/2018

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Abstract

Internet retailers often compete fiercely for consumers through expensive marketing efforts like search engine advertising, online coupons and a variety of special deals. Against this background, it is somewhat puzzling that many online retailers have recently begun referring their website visitors to their direct competitors. In this paper, using an analytical model, we examine this counterintuitive practice and posit that an entry deterrence motive can potentially explain this marketplace puzzle. Specifically, we develop a model where two incumbents compete for consumers” business while facing a potential entrant who is deciding whether to enter the market. In addition to setting the price, each incumbent firm could potentially display a referral link to its direct competitor. Our analysis reveals that when confronted with a potential entry, an incumbent may refer consumers to its competitor, intensifying the market competition that could result in shutting off the entrant. Furthermore, we show that when referral efficiency is exogenous, it is possible that in equilibrium only one incumbent refers its customers to competitor (i.e., one-way referral) or both incumbents refer their customers to each other (i.e, two-way referral). When referral efficiency is endogenous, the ex-ante symmetric incumbents may choose asymmetric referral efficiencies ex-post. We extend the model in a number of directions including making the entrant share endogenous and allowing incumbents to be asymmetric. Overall, our results indicate that firms may be motivated by entry deterrence to voluntarily refer consumers to their direct competitors even when they are paid nothing for the referral.

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Fußnoten
1
We are grateful to the review team for bringing forth this important point and for suggesting the conceptual arguments to address it.
 
2
As we will see that an equilibrium in the pure strategies does not exist, so the firms randomize prices in our set-up. Randomized prices are consistent with the price variation observed in the actual homogeneous goods markets and it suggests that the price changes are typically a lot more frequent than changes in a policy like competitive referral. This provides a rationale for why prices follow and respond to the referral decision in the model timeline and not the vice-versa.
 
3
As shown in Appendix B, there also exists a “No referral Entry” equilibrium in the region denoted by “Two-way referral No entry,” but it is Pareto-dominated by the latter.
 
4
The results of the consumer welfare analyses are available from the authors upon request.
 
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Metadaten
Titel
Flirting with the enemy: online competitor referral and entry-deterrence
verfasst von
Jianqiang Zhang
Zhuping Liu
Raghunath Singh Rao
Publikationsdatum
29.12.2017
Verlag
Springer US
Erschienen in
Quantitative Marketing and Economics / Ausgabe 2/2018
Print ISSN: 1570-7156
Elektronische ISSN: 1573-711X
DOI
https://doi.org/10.1007/s11129-017-9196-7