Negative price premium effect in online market - The impact of competition and buyer informativeness on the pricing strategies of sellers with different reputation levels

Motivated by the contradictory findings in literature regarding whether high-reputation sellers enjoy a price premium over low-reputation sellers, this paper examines the pricing strategies of sellers with different reputation levels. We find that a negative price premium effect (i.e., a high-reputation seller charges a lower price than a low-reputation seller) exists due to: (1) the presence of both informed and uninformed buyers, which makes sellers follow mixed pricing strategies. It is then possible for a high-reputation seller setting a lower price than a low-reputation seller. Moreover, when the proportion of informed buyers exceeds a certain threshold, the expected price of a high-reputation seller is even lower than that of a low-reputation seller; (2) the competition among the sellers, which reduces the high-reputation sellers' prices but increases the low-reputation sellers' prices. Consequently, a high-reputation seller is more likely to charge a lower price than a low-reputation seller when the competition intensifies. Our empirical findings also support our theoretical results on the negative price premium effect.

[1]  H. Varian A Model of Sales , 1980 .

[2]  A. S. Kunnathur,et al.  Exploring the Impacts of Interdependent Relationships on IOS Use: The Roles of Governance Mechanisms , 2010, J. Comput. Inf. Syst..

[3]  Norris I. Bruce,et al.  Seller rating, price, and default in online auctions , 2004 .

[4]  Zhulei Tang,et al.  The Impact of Shopbot Use on Prices and Price Dispersion: Evidence from Online Book Retailing , 2010 .

[5]  Zhongju Zhang,et al.  Price competition in e-tailing under service and recognition differentiation , 2007, Electron. Commer. Res. Appl..

[6]  Anindya Ghose,et al.  Internet Exchanges for Used Goods: An Empirical Analysis of Trade Patterns and Adverse Selection , 2008, MIS Q..

[7]  Jeffrey M. Perloff,et al.  Price Dispersion on the Internet: Good Firms and Bad Firms , 2001 .

[8]  Zhongju Zhang,et al.  Oligopolistic price competition and adverse price effect in online retailing markets , 2008, Decis. Support Syst..

[9]  J. Livingston How Valuable Is a Good Reputation? A Sample Selection Model of Internet Auctions , 2005, Review of Economics and Statistics.

[10]  S. Utz,et al.  On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions , 2009, Int. J. Electron. Commer..

[11]  P. Nelson Information and Consumer Behavior , 1970, Journal of Political Economy.

[12]  Huaping Chen,et al.  Pricing Strategy in Online Retailing Marketplaves of Homogeneous Goods: Should High Reputation Seller Charge More? , 2009, AMCIS.

[13]  B. Ratchford,et al.  Can price dispersion in online markets be explained by differences in e-tailer service quality? , 2002 .

[14]  Sulin Ba,et al.  Online Price Dispersion: A Game Theoretic Perspective and Empirical Evidence , 2008 .

[15]  Ming Zhou,et al.  Revisiting feedback systems: Trust building in digital markets , 2009, Inf. Manag..

[16]  David M. Kreps,et al.  Reputation and imperfect information , 1982 .

[17]  S. Salop,et al.  The Noisy Monopolist: Imperfect Information, Price Dispersion and Price Discrimination , 1977 .

[18]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[19]  Elliot Rabinovich,et al.  Assessing Markups, Service Quality, and Product Attributes in Music CDs' Internet Retailing , 2008 .

[20]  Zhongju Zhang,et al.  Research Note - Online Price Dispersion: A Game-Theoretic Perspective and Empirical Evidence , 2012, Inf. Syst. Res..

[21]  Christopher Tucci,et al.  Reducing internet auction fraud , 2008, CACM.

[22]  Ramayya Krishnan,et al.  Retail Strategies on the Web: Price and Non-Price Competition in the Online Book Industry , 2003 .

[23]  Christina Soh,et al.  Electronic Marketplaces and Price Transparency: Strategy, Information Technology, and Success , 2006, MIS Q..

[24]  George Alessandria,et al.  Consumer Search, Price Dispersion, and International Relative Price Fluctuations , 2009 .

[25]  Cynthia G. McDonald,et al.  Reputation in an Internet Auction Market , 2002 .

[26]  Ravi Bapna,et al.  Understanding the confluence of retailer characteristics, market characteristics and online pricing strategies , 2006, Decis. Support Syst..

[27]  R. Nelson,et al.  An Analysis of Pricing Strategy and Price Dispersion on the Internet , 2007 .

[28]  J. Stiglitz,et al.  Bargains and Ripoffs: A Model of Monopolistically Competitive Price Dispersion , 1977 .

[29]  Jie Zhang,et al.  The roles of players and reputation: Evidence from eBay online auctions , 2006, Decis. Support Syst..

[30]  Robert J. Kauffman,et al.  Doing their bidding: An empirical examination of factors that affect a buyer’s utility in Internet auctions , 2006, Inf. Technol. Manag..

[31]  Steven Walczak,et al.  Dressing Your Online Auction Business for Success: An Experiment Comparing Two eBay Businesses , 2008, MIS Q..

[32]  Paul A. Pavlou,et al.  Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior , 2002, MIS Q..

[33]  Baohong Sun,et al.  Internet Auction Features as Quality Signals. , 2009 .

[34]  John Morgan,et al.  Persistent Price Dispersion in Online Markets , 2006 .

[35]  Erik Brynjolfsson,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 2000 .

[36]  Cynthia Benzing,et al.  The Determinants of Price in Internet Auctions of Used Cars , 2007 .

[37]  Michael R. Baye,et al.  Price Dispersion in the Small and in the Large: Evidence from an Internet Price Comparison Site , 2004 .

[38]  Eric K. Clemons,et al.  Consumer informedness and diverse consumer purchasing behaviors: traditional mass-market, trading down, and trading out into the long tail , 2007, Electron. Commer. Res. Appl..

[39]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..