How user relationships affect user perceived value propositions of enterprises on social commerce platforms

Social commerce is a popular topic issue in the academic field. Prior research mostly focused on the effectiveness of social commerce on consumers. However, the effect of social commerce on electronic commerce enterprises has rarely been involved. By combining social network theories, information theories, and the value theory of electronic commerce, with information quality and credibility as the path, this study investigates how inter-user relationship on a social commerce platform affect user’s perceptions of the value proposition of electronic commerce enterprises. The results show that the instrumental inter-user relationships can significantly improve a consumer’s perceptions of a product’s quality and information, and then improve the perception of efficiency value proposition and novelty value proposition of electronic commerce enterprises. The expressive relationships between users can effectively improve the expression of consumer awareness of product credibility, and thus enhance the consumer’s perception of the value proposition of electronic commerce enterprises.

[1]  A. Coughlan,et al.  An Empirical Investigation * , 2002 .

[2]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[3]  R. Amit,et al.  The fit between product market strategy and business model: implications for firm performance , 2008 .

[4]  Minhong Wang,et al.  Effects of social tie content on knowledge transfer , 2010, J. Knowl. Manag..

[5]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[6]  Joseph P. Cannon,et al.  An Examination of the Nature of Trust in Buyer–Seller Relationships: , 1997 .

[7]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[8]  Satish Nambisan,et al.  DESIGNING VIRTUAL CUSTOMER ENVIRONMENTS FOR NEW PRODUCT DEVELOPMENT : TOWARD A THEORY , 2005 .

[9]  James A. Narus,et al.  Customer value propositions in business markets. , 2006, Harvard business review.

[10]  Mark S. Granovetter.  T H E S T R E N G T H O F WEAK TIES: A NETWORK THEORY REVISITED , 1983 .

[11]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[12]  Olivier Toubia,et al.  Deriving Value from Social Commerce Networks , 2009 .

[13]  S. Li,et al.  Interpersonal Trust and Platform Credibility in a Chinese Multibrand Online Community , 2011 .

[14]  Dan J. Kim,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2019 .

[15]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[16]  R. Cross,et al.  THE STRENGTH OF WEAK TIES YOU CAN TRUST: THE MEDIATING ROLE OF TRUST IN EFFECTIVE KNOWLEDGE TRANSFER. , 2002 .

[17]  Deborah E. Gibbons,et al.  Friendship and Advice Networks in the Context of Changing Professional Values , 2004 .

[18]  K. Stewart.  Trust Transfer on the World Wide Web , 2002 .

[19]  Raphael Amit,et al.  Business Model Design: An Activity System Perspective , 2010 .

[20]  Gerald Häubl,et al.  Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents , 2009 .

[21]  Fernando Suarez,et al.  Network Effects Revisited: The Role of Strong Ties in Technology Selection , 2005 .

[22]  ChenHuaping,et al.  Credibility of Electronic Word-of-Mouth , 2009 .

[23]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[24]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

[25]  David F Ballantyne,et al.  Creating value-in-use through marketing interaction: the exchange logic of relating, communicating and knowing , 2006 .

[26]  Abhijit Chaudhury,et al.  An empirical investigation of decision-making satisfaction in web-based decision support systems , 2004, Decis. Support Syst..

[27]  S. Li,et al.  The Influence of eWOM on Virtual Consumer Communities: Social Capital, Consumer Learning, and Behavioral Outcomes , 2007, Journal of Advertising Research.

[28]  P. V. Marsden,et al.  Homogeneity in confiding relations , 1988 .

[29]  Harikesh S. Nair,et al.  Social Ties and User Generated Content: Evidence from an Online Social Network , 2011 .

[30]  Nabizadeh Tahereh,et al.  INVESTIGATING THE INTENTION TO DISCLOSE INFORMATION IN MOBILE BANKING , 2018 .

[31]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[32]  R. Amit,et al.  Value creation in E‐business , 2001 .

[33]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[34]  Yogesh V. Joshi,et al.  New Product Diffusion with Influentials and Imitators , 2007 .

[35]  William B. Stevenson,et al.  Nationality, Cultural Distance, and Expatriate Status: Effects on the Managerial Network in a Multinational Enterprise , 2001 .

[36]  Geoffrey G. Parker,et al.  Two-Sided Network Effects: A Theory of Information Product Design , 2010, Manag. Sci..

[37]  Raphael Amit,et al.  Business Model Design and the Performance of Entrepreneurial Firms , 2007, Organ. Sci..

[38]  Daniel Z. Levin,et al.  The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer , 2004, Manag. Sci..

[39]  Renata Gonçalves Curty,et al.  Social commerce: Looking back and forward , 2011, ASIST.

[40]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[41]  Sumeet Gupta,et al.  Investigating the intention to purchase digital items in social networking communities: A customer value perspective , 2011, Inf. Manag..

[42]  James Surowiecki.  The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations Doubleday Books. , 2004 .

[43]  Wei Chen,et al.  The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings , 2011, Comput. Hum. Behav..

[44]  Jyun-Cheng Wang,et al.  Social interaction and continuance intention in online auctions: A social capital perspective , 2009, Decis. Support Syst..

[45]  E. Jaynes.  Information Theory and Statistical Mechanics , 1957 .

[46]  Yi-Cheng Ku,et al.  Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings , 2006, J. Manag. Inf. Syst..

[47]  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..

[48]  James N. Baron,et al.  Resources and Relationships: Social Networks and Mobility in the Workplace , 1997 .

[49]  Pauline Rafferty,et al.  Making the Long Tail visible: social networking sites and independent music discovery , 2009, Program.

[50]  Steven B. Andrews,et al.  Power, Social Influence, and Sense Making: Effects of Network Centrality and Proximity on Employee Perceptions. , 1993 .

[51]  William R. King,et al.  Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations , 2005, MIS Q..

[52]  Efraim Turban,et al.  Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce , 2011, Int. J. Electron. Commer..

[53]  Andrew Parker,et al.  Beyond answers: dimensions of the advice network , 2001, Soc. Networks.