An Empirical Study on Sales Performance Effect and Pricing Strategy for E-Commerce: From the Perspective of Mobile Information

The emergence of Internet product sales platform has not only greatly enriched consumers’ choices and facilitated their purchasing behavior but also provided space for counterfeit products and relevant fraudulent signal strategies in China, which damage the consumer’s rights and interests and further disrupt the normal order of the e-commerce market. However, effective empirical study on the long-term and dynamic influence mechanism of fraudulent signals of counterfeit products and the seller incentive mechanism is still unavailable in academic circles, especially in the Chinese market, where government regulation is deemed to be lacking. For the purpose of this paper, an empirical study has been conducted by virtue of Internet e-commerce platform data based on data capture technology to analyze the dynamic performance effect mechanism of e-commerce fraudulent signals of counterfeit products under multiple game conditions. The study results show that selling of counterfeit products by using fraudulent signals can improve the current sales performance, but it will cause a long-term performance decline consequently. Additionally, from the perspective of the pricing mechanism, this paper analyzes the said seller incentive mechanism of counterfeit products. Finally, this paper puts forward relevant management suggestions based on the empirical study findings.

[1]  Guido Lang,et al.  The role of external and internal signals in E-commerce , 2016, Decis. Support Syst..

[2]  M. Spence Job Market Signaling , 1973 .

[3]  A. Rebecca Reuber,et al.  Signalling reputation in international online markets , 2009 .

[4]  Silvester Ivanaj,et al.  Measuring E-Learners' Perceptions of Service Quality , 2019, J. Organ. End User Comput..

[5]  Anindya Ghose,et al.  Analyzing the Relationship Between Organic and Sponsored Search Advertising: Positive, Negative, or Zero Interdependence? , 2010, Mark. Sci..

[6]  Praveen Ranjan Srivastava,et al.  Impact of Information Technology on Information Search Channel Selection for Consumers , 2018, J. Organ. End User Comput..

[7]  Chung-Lun Wei,et al.  Exploring Signaling Roles of Service Providers' Reputation and Competence in Influencing Perceptions of Service Quality and Outsourcing Intentions , 2019, J. Organ. End User Comput..

[8]  Shan Wang,et al.  A study of B2B e-market in China: E-commerce process perspective , 2008, Inf. Manag..

[9]  Ashish Agarwal,et al.  Do Organic Results Help or Hurt Sponsored Search Performance? , 2012, Inf. Syst. Res..

[10]  Mary Ann Eastlick,et al.  An online prepurchase intentions model: The role of intention to search , 2001 .

[11]  Sergio Román,et al.  The Perceptions of Consumers Regarding Online Retailers’ Ethics and Their Relationship with Consumers’ General Internet Expertise and Word of Mouth: A Preliminary Analysis , 2008 .

[12]  Brian Connelly,et al.  Return Time Leniency in Online Retail: A Signaling Theory Perspective on Buying Outcomes , 2018, Decis. Sci..

[13]  Timothy G. Pollock,et al.  Crossed Wires: Endorsement Signals and the Effects of IPO Firm Delistings on Venture Capitalists’ Reputations , 2019, Academy of Management Journal.

[14]  Ziliang Deng,et al.  Early-mover advantages at cross-border business-to-business e-commerce portals , 2016 .

[15]  Iryna Pentina,et al.  Performance Implications of Online Entry Timing by Store-Based Retailers: A Longitudinal Investigation , 2009 .

[16]  I. Clarke,et al.  Web-based B2B portals , 2003 .

[17]  Sankar Sen,et al.  Why Do Consumers Buy Counterfeit Luxury Brands? , 2009 .

[18]  Brian L. Connelly,et al.  Signalling Theory and Equilibrium in Strategic Management Research: An Assessment and a Research Agenda , 2014 .

[19]  V. Mitchell,et al.  A Preliminary Investigation into Pre‐ and Post‐Purchase Risk Perception and Reduction , 1994 .

[20]  X. Zhang,et al.  Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .

[21]  A. Rebecca Reuber,et al.  When Nobody Knows Your Name: Country-of-Origin as a Reputational Signal for Online Businesses , 2011 .

[22]  Shanshan Hu,et al.  Sponsored Search Marketing: Dynamic Pricing and Advertising for an Online Retailer , 2015, Manag. Sci..

[23]  Elison Ai Ching Lim,et al.  Spot the difference: consumer responses towards counterfeits , 2001 .

[24]  Luiza Fabisiak Web Service Usability Analysis Based on User Preferences , 2018, J. Organ. End User Comput..