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RETRACTED ARTICLE: The optimal pricing strategy to evaluate the reputations of sellers in online platforms using the game theory model

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This article was retracted on 13 February 2024

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Abstract

Most online markets establish reputation systems to assist in building trust between sellers and buyers. Sellers’ reputations not only provide guidelines for buyers but may also inform sellers of their optimal pricing strategy. In this research, we assumed two types of buyers – informed buyers and uninformed buyers. Informed buyers know more about the reputation of the seller but may incur a search cost. Then we developed a benchmark model and a competition model. We found that high reputation sellers and low reputation sellers adopt different pricing strategies depending on the informativeness of buyers and the competition among sellers. With a large proportion of well-informed buyers, high reputation sellers may charge a lower price than low reputation sellers, i.e., a negative price premium effect, in contrast to conclusions of some previous studies. Empirical findings were consistent with our theoretical models. We collected data on five categories of products, televisions, laptops, cosmetics, shoes, and beverages, from Taobao – a leading e-commerce market. A negative price premium effect was observed for TVs, laptops, and cosmetics; a price premium effect was observed for beverages; no significant trend was observed for shoes. We infer product value and market complexity are the main factors of buyer informativeness.

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References

  • Akerlof GA (1970) The market for lemons: Quality uncertainty and the market mechanism. Q J Econ 84(3):488–500

    Article  Google Scholar 

  • Alessandria G (2009) Consumer search, price dispersion, and international relative price fluctuations. Int Econ Rev 50(3):803–829

    Article  Google Scholar 

  • Ba S, Pavlou PA (2002) Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Q 26:243–268

    Article  Google Scholar 

  • Ba S, Stallaert J, Zhang Z (2007) Price competition in e-tailing under service and recognition differentiation. Electron Commer Res Appl 6(3):322–331

    Article  Google Scholar 

  • Baye MR et al (2004) Price dispersion in the small and in the large: Evidence from an internet price comparison site. J Ind Econ 52(4):463–496

    Article  Google Scholar 

  • Baylis K, Perloff JM (2002) Price dispersion on the Internet: Good firms and bad firms. Rev Ind Organ 21(3):305–324

    Article  Google Scholar 

  • Carbal L, Hortaçsu A (2010) The dynamics of seller reputation: evidence from ebay. J Ind Econ 58(1):54–78

    Article  Google Scholar 

  • Cao Y (2021) Retracted article: Artificial intelligence-based plant environment detection in coastal areas and B2C e-commerce network marketing. Arab J Geosci 14(11):1–17

    Article  Google Scholar 

  • Chen P et al (2015) Can online markets attract high-quality products? Econ Model 51:65–71. https://doi.org/10.1016/j.econmod.2015.07.010

    Article  Google Scholar 

  • Clay K et al (2002) Retail strategies on the web: Price and non–price competition in the online book industry. J Ind Econ 50(3):351–367

    Article  Google Scholar 

  • Fan S (2019) The “lemon” problem in electronic commerce and its solution. Administrative Assets and Finance 12:25–26

    Google Scholar 

  • Filippas A et al (2022) Reputation inflation. ACM Conference on Economics and Computation. New York: ACM

  • Fisher F et al (2013) Inflated Dollors and Reputations. American Spectator 46:6–7

    Google Scholar 

  • Fu R (2019) An empirical study on online and offline price mean and price dispersion in B2C market. Doctural Dissertation. South China University of Technology

  • Giannakas K, Fulton M (2020) On the market for Lemons: quality provision in markets with asymmetric information. Humanities and Social Sciences Communications 7(1). https://doi.org/10.1057/s41599-020-00658-w

  • Guo YF (2012) Price and Reputation in E-commerce Market – Based on the Analysis of Taobao.com. Chinese Price 1:46–49

    Google Scholar 

  • Jolivet G et al (2016) Reputation and prices on the e-market: Evidence from a major french platform. Int J Ind Organ 45:59–75

    Article  Google Scholar 

  • Lee HG et al (2003) Is the internet making retail transactions more efficient?: Comparison of online and offline CD retail markets. Electron Commer Res Appl 2(3):266–277

    Article  Google Scholar 

  • Li L et al (2016) Buying reputation as a signal of quality: evidence from an online marketplace. J Econ 51(4):965–988

    Google Scholar 

  • Li W (2019) An Empirical Study on Price Level and Price Dispersion of E-Commerce -- Taking Online Room Reservation as an Example. Doctoral Dissertation. Southwest Jiaotong University

  • Liu Y et al (2012) Negative price premium effect in online market—The impact of competition and buyer informativeness on the pricing strategies of sellers with different reputation levels. Decis Support Syst 54(1):681–690

    Article  MathSciNet  Google Scholar 

  • Liu Y et al (2009) Pricing strategy in online retailing marketplaces of homogeneous goods: Should high reputation seller charge more? SIGeBIZ track of the Americas Conference on Information Systems. Heidelberg: Springer, pp. 155–168

  • Luo J et al (2018) Pricing strategies in online book industry: a comparative study. IseB 16(4):791–816

    Article  Google Scholar 

  • Luo W, Chung QB (2010) Retailer reputation and online pricing strategy. J Comput Inf Syst 50(4):50–56

    Google Scholar 

  • Mahmoud MA et al (2018) The effect of trust, commitment, and conflict handling on customer retention: the mediating role of customer satisfaction. Journal of Relationship Marketing 17(4):257–276

    Article  Google Scholar 

  • Moscarini G, Ottaviani M (2001) Price Competition for an Informed Buyer. J Econ Theory 101(2):457–493

    Article  MathSciNet  Google Scholar 

  • Peng H, Ling M (2009) Will Commodity Properties Affect Seller’s Creditworthy: Evidence in C2C E-commerce Market in China. The International Conference on Web Information Systems and Mining, pp. 535–544

  • Qian et al (2021) Reputation and Pricing Dynamics in Online Markets. IEEE/ACM Trans Networking 29(4):1745–1759

    Article  Google Scholar 

  • Salop S, Stiglitz J (1977) Bargains and ripoffs: A model of monopolistically competitive price dispersion. Rev Econ Stud 44(3):493–510

    Article  Google Scholar 

  • Shen L et al (2020) Impacts of online shopping convenience and physical retail proximity on housing prices in Shenzhen, 2016–2018. J Housing Built Environ 35(4):1157–1176. https://doi.org/10.1007/s10901-020-09732-w

    Article  Google Scholar 

  • Tadelis S (2016) Reputation and Feedback Systems in Online Platform Markets. Annu Rev Ecol 8(1):321–340

    Article  Google Scholar 

  • Varian HR (1980) A model of sales. Am Econ Rev 70(4):651–659

    Google Scholar 

  • Wahab HKA, Giwah B (2020) The Effect of Celebrity Firms on Customer Commitment in E-Commerce Setting: the Mediating Roles of Trust and Identification. International Knowledge Sharing Platform 11:111–127

    Google Scholar 

  • Wang W, Li F (2020) ’What determines online transaction price dispersion? Evidence from the Largest Online Platform in China’, Electronic Commerce Research and Applications 42:100968

    Article  Google Scholar 

  • Xie H, Liu JC (2017) Mining deficiencies of online reputation systems: Methodologies, experiments and implications. IEEE Trans Serv Comput 13(5):887–900

    Article  Google Scholar 

  • Xu M (2018) The Impact of Consumer Interaction on Consumer Trust and Purchase Intention: Based on Social E-Markets. Doctoral Dissertation. Beijing Jiaotong University

  • You W et al (2011) Reputation inflation detection in a Chinese C2C market. Electron Commer Res Appl 10(5):510–519

    Article  Google Scholar 

  • Zhang X et al (2012) Do different reputation systems provide consistent signals of seller quality: a canonical correlation investigation of Chinese C2C marketplaces. Electron Mark 22(3):155–168

    Article  Google Scholar 

  • Zhuang W et al (2021) Big Data Analytics in E-commerce for the US and China Through Literature Reviewing. Journal of Systems Science and Information 9(1):16–44

    Article  MathSciNet  Google Scholar 

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Correspondence to Zehao Chen.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s12063-024-00463-7

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Chen, Z., Zhu, Y., Shen, T. et al. RETRACTED ARTICLE: The optimal pricing strategy to evaluate the reputations of sellers in online platforms using the game theory model. Oper Manag Res 15, 953–964 (2022). https://doi.org/10.1007/s12063-022-00306-3

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