The Two Faces of Size: An Analysis of Price Bargaining and Platform Competition in the US Daily Deal Market
نویسندگان
چکیده
The platform—a business model that creates value by connecting groups of users—is increasingly popular in many industries. Extant papers largely assume that platforms dominate the pricing decision, whereas in practice, prices in business-to-business transactions are often determined by a bargaining process. We study how the relative bargaining power of business partners affects pricing and competition in a two-sided market. We compile a unique and comprehensive dataset using sales data from the US daily deal market and specify a structural model based on Nash bargaining solutions. We find that Groupon, the larger deal platform, has more price-bargaining power than LivingSocial and that larger and chain merchants have more bargaining power than smaller and independent merchants. The difference in bargaining power between different types of merchant, interestingly, is more substantial on LivingSocial than on Groupon. Therefore, the size of a platform has two faces: while a larger customer base helps attract merchants, the platform’s bargaining power may motivate some merchants to work with its smaller competitors, over which they have more influence on price setting. Our counterfactual results show that the allocation of price-bargaining power plays an important role in the daily deal markets and that merchants are significantly worse off if platforms have higher price-bargaining power during the negotiation. Furthermore, as it increases the bargaining power, LivingSocial would be able to boost its profits but lose its attraction in acquiring merchants.
منابع مشابه
Strategic Channel Selection with Online Platforms: An Empirical Analysis of the Daily Deal Industry
The platform—a business model that creates value by connecting groups of users—is increasingly popular in many industries. Extant papers largely assume that platforms dominate the pricing decision, whereas in practice, prices in business-to-business transactions are often determined by a bargaining process. We study how the relative bargaining power of business partners affects pricing and comp...
متن کاملA Robust Competitive Global Supply Chain Network Design under Disruption: The Case of Medical Device Industry
In this study, an optimization model is proposed to design a Global Supply Chain (GSC) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. Therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of Economic Cooperation Organization trade agreement (ECOTA) is...
متن کاملInvestigating the Competition Status and the Impact of Market Power on Electricity Price: Case of Iran's Wholesale Electricity Market
Policy makers need to be acquainted with market competition statue. it would ease the decision making and restructuring of market. The aim of this study is to measure the competition of the wholesale electricity market and then investigate the impact of market power on wholesale electricity price during 2013 to 2017. The Result shows that market share of P.U.s in the wholesale electricity marke...
متن کاملInvestigating the Competition Status and the Impact of Market Power on Electricity Price: Case of Iran's Wholesale Electricity Market
Policy makers need to be acquainted with market competition statue. it would ease the decision making and restructuring of market. The aim of this study is to measure the competition of the wholesale electricity market and then investigate the impact of market power on wholesale electricity price during 2013 to 2017. The Result shows that market share of P.U.s in the wholesale electricity marke...
متن کاملAssessing the Exchange Rate Fluctuation on Tehrans Stock Market Price: A GARCH Application
This paper empirically investigates the exchange rate effects of Iranian Rial against Dollar (Rial vs.US) on stock prices in Iran. The sample period for the study has been taken from March 20, 2004 to March 20, 2010 using daily nominal exchange rate of Rial /us and daily closing values of Tehran Stock Exchange. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model has been use...
متن کامل