Should You Really Produce What Consumers Like Online? Empirical Evidence for Reciprocal Voting in Open Innovation Contests

In open innovation, firms increasingly rely on online consumer votes to evaluate ideas for new products and services. Votes can represent cost-effective external information about idea quality that can inform and facilitate a firm's task of evaluating and screening of ideas at the early stages of the innovation process. Challenging this perception, we proposed that consumer votes provided in open innovation contests can be socially biased by reciprocal voting. On the basis of theories related to cooperation and social influence, we argued that both gregarious consumers (those who solicit social ties) and consumers who initiate direct reciprocity (those who vote for others) signal a willingness to cooperate that stimulates reciprocal voting from peers. We empirically investigated consumer voting behavior using a unique dataset with information obtained from actual open innovation contests in which consumers could submit their own ideas and see and vote for the ideas of others. We found that both gregariousness and the initiation of direct reciprocity positively influence votes received. Such cooperation pays off for consumers because firms indeed use votes to inform internal idea evaluations. We also found, however, that the votes an idea receives during an innovation contest cannot significantly explain its later revealed quality. Reciprocity may be an effective form of cooperation among consumers, but it has potentially negative implications for firms' evaluations. Our results also indicated that beyond reciprocity, consumers and firms value different types of ideas, which further differentiates their evaluations. Thus, firms should not only be aware of social biases in votes but also account for the diverging idea preferences of customers.

[1]  Karl T. Ulrich,et al.  Idea Generation and the Quality of the Best Idea , 2009, Manag. Sci..

[2]  S. H. Ang Competitive Intensity and Collaboration: Impact on Firm Growth Across Technological Environments , 2008 .

[3]  P. Allison,et al.  7. Fixed-Effects Negative Binomial Regression Models , 2002 .

[4]  S. Borgatti,et al.  Making Invisible Work Visible: Using Social Network Analysis to Support Strategic Collaboration , 2002 .

[5]  Xiaohua Zeng,et al.  Social Ties and User Content Generation: Evidence from Flickr , 2013, Inf. Syst. Res..

[6]  Christiane Schwieren,et al.  Does Competition Enhance Performance or Cheating? A Laboratory Experiment , 2008, SSRN Electronic Journal.

[7]  R. Cooper,et al.  SCREENING NEW PRODUCTS FOR POTENTIAL WINNERS , 1993 .

[8]  David G. Rand,et al.  Human cooperation , 2013, Trends in Cognitive Sciences.

[9]  Sean J. Taylor,et al.  Social Influence Bias: A Randomized Experiment , 2013, Science.

[10]  Olivier Toubia,et al.  Adaptive Idea Screening Using Consumers , 2007 .

[11]  Raji Srinivasan,et al.  Social Influence Effects in Online Product Ratings , 2012 .

[12]  Joseph Lampel,et al.  The Role of Status-Seeking in Online Communities: Giving the Gift of Experience , 2007, J. Comput. Mediat. Commun..

[13]  James P. Kahan,et al.  Cooperation and Group Size in the N-Person Prisoners' Dilemma , 1976 .

[14]  Darren W. Dahl,et al.  Designing the Solution: The Impact of Constraints on Consumers' Creativity , 2005 .

[15]  Mary T. Dzindolet,et al.  Social and Cognitive Influences in Group Brainstorming: Predicting Production Gains and Losses , 2002 .

[16]  P. Richerson,et al.  The evolution of reciprocity in sizable groups. , 1988, Journal of theoretical biology.

[17]  Yi Xu,et al.  Innovation Contests, Open Innovation, and Multiagent Problem Solving , 2008, Manag. Sci..

[18]  S. Alexander Haslam,et al.  What have they done for us lately? The dynamics of reciprocity in intergroup contexts , 2005 .

[19]  D. Dahl,et al.  The Influence and Value of Analogical Thinking during New Product Ideation , 2002 .

[20]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[21]  Jacob Goldenberg,et al.  Lower Connectivity is Better: The Effects of Network Structure on Redundancy of Ideas and Customer Innovativeness in Interdependent Ideation Tasks , 2016 .

[22]  E. Deci,et al.  When Trying to Win , 1981 .

[23]  Leaf Van Boven,et al.  Identifiable but Not Identical: Combining Social Identity and Uniqueness Motives in Choice , 2012 .

[24]  Brian S. Silverman,et al.  Arms Race or Détente? How Interfirm Alliance Announcements Change the Stock Market Valuation of Rivals , 2009, Manag. Sci..

[25]  Erik Wästlund,et al.  Exploring Users' Appropriateness as a Proxy for Experts When Screening New Product/Service Ideas† , 2016 .

[26]  R. Brent Gallupe,et al.  Blocking electronic brainstorms. , 1994 .

[27]  W. Bearden,et al.  Reference Group Influence on Product and Brand Purchase Decisions , 1982 .

[28]  David Godes,et al.  Sequential and Temporal Dynamics of Online Opinion , 2012, Mark. Sci..

[29]  J. Tirole,et al.  Incentives and Prosocial Behavior , 2004 .

[30]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[31]  Christopher Lettl,et al.  Forecasting the Commercial Attractiveness of User-Generated Designs Using Online Data: : An Empirical Study within the LEGO User Community , 2014 .

[32]  A. Gouldner THE NORM OF RECIPROCITY: A PRELIMINARY STATEMENT * , 1960 .

[33]  Karim R. Lakhani,et al.  Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis , 2011, Manag. Sci..

[34]  Rajesh Sethi,et al.  Stage-Gate Controls, Learning Failure, and Adverse Effect on Novel New Products , 2008 .

[35]  Sheila M. Puffer Prosocial behavior, noncompliant behavior, and work performance among commission salespeople. , 1987 .

[36]  R. Trivers The Evolution of Reciprocal Altruism , 1971, The Quarterly Review of Biology.

[37]  N. V. Joshi,et al.  Evolution of cooperation by reciprocation within structured demes , 1987, Journal of Genetics.

[38]  Brad R. C. Kelln,et al.  An Equity Theory Analysis of the Impact of Forgiveness and Retribution on Transgressor Compliance , 1999 .

[39]  Olivier Toubia,et al.  Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter? , 2013, Mark. Sci..

[40]  H. P. Sims,et al.  Some Determinants of Unethical Decision Behavior: An Experiment , 1978 .

[41]  John Duffy,et al.  Group size and cooperation among strangers , 2016 .

[42]  Eva Walther,et al.  Conformity effects in memory as a function of group size, dissenters and uncertainty. , 2002 .

[43]  Rebecca Walker Naylor,et al.  Beyond the “Like” Button: The Impact of Mere Virtual Presence on Brand Evaluations and Purchase Intentions in Social Media Settings , 2012 .

[44]  M. Nowak Five Rules for the Evolution of Cooperation , 2006, Science.

[45]  Martin Schreier,et al.  The Value of Crowdsourcing: Can Users Really Compete with Professionals in Generating New Product Ideas? , 2009 .

[46]  Barry L. Bayus,et al.  Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community , 2013, Manag. Sci..

[47]  Eric K. Clemons,et al.  Do Online Reviews Reflect a Product's True Perceived Quality? - An Investigation of Online Movie Reviews Across Cultures , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[48]  R. Olshavsky,et al.  The dual role of informational social influence: Implications for marketing management , 1987 .

[49]  Joel B. Cohen,et al.  Informational Social Influence and Product Evaluation. , 1972 .

[50]  Alessandro Lomi,et al.  Relational collaboration among spatial multipoint competitors , 2012, Soc. Networks.

[51]  C. Shalley,et al.  The Social Side of Creativity: A Static and Dynamic Social Network Perspective , 2003 .

[52]  E. Fehr,et al.  Fairness and Retaliation: The Economics of Reciprocity , 2000, SSRN Electronic Journal.

[53]  Robert G. Cooper,et al.  Perspective: The Stage‐Gate® Idea‐to‐Launch Process—Update, What's New, and NexGen Systems* , 2008 .

[54]  Roman M. Sheremeta,et al.  Entry into Winner-Take-All and Proportional-Prize Contests: An Experimental Study , 2010 .

[55]  Steven M. Smith,et al.  Constraining effects of examples in a creative generation task , 1993, Memory & cognition.

[56]  Ronald E. Goldsmith,et al.  Global Innovativeness and Consumer Susceptibility to Interpersonal Influence , 2006 .

[57]  Yong Tan,et al.  Do I Follow My Friends or the Crowd? Information Cascades in Online Movie Ratings , 2014, Manag. Sci..

[58]  Yun Wan The Matthew Effect in Online Review Helpfulness , 2013, ICEC.

[59]  A. Semin-Goossens,et al.  The boundaries of reciprocal cooperation , 1998 .

[60]  Karl T. Ulrich,et al.  Opportunity Spaces in Innovation: Empirical Analysis of Large Samples of Ideas , 2011, Manag. Sci..

[61]  Americus Reed,et al.  Informational Influence and the Ambiguity of Product Experience: Order Effects on the Weighting of Evidence , 1998 .

[62]  R. E. Burnkrant,et al.  Informational and Normative Social Influence in Buyer Behavior , 1975 .

[63]  Masanori Takezawa,et al.  Centrality in sociocognitive networks and social influence : An illustration in a group decision-making context , 1997 .

[64]  M. Giesler Consumer Gift Systems , 2006 .

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

[66]  D. T. Regan,et al.  Effects of a favor and liking on compliance , 1971 .

[67]  S. Gosling,et al.  Message in a Ballad , 2006, Psychological science.

[68]  Noah J. Goldstein,et al.  Social influence: compliance and conformity. , 2004, Annual review of psychology.

[69]  Richard H. Smith,et al.  The Effect of a Favor on Public and Private Compliance: How Internalized is the Norm of Reciprocity? , 1999 .

[70]  Ravi Bapna,et al.  Do Your Online Friends Make You Pay? A Randomized Field Experiment on Peer Influence in Online Social Networks - Online E-Companion Appendix , 2014, Manag. Sci..

[71]  David Schuff,et al.  What Makes a Helpful Review? A Study of Customer Reviews on Amazon.com , 2010 .

[72]  C. Whan Park,et al.  Students and Housewives: Differences in Susceptibility to Reference Group Influence , 1977 .

[73]  Richard G. Netemeyer,et al.  Measurement of Consumer Susceptibility to Interpersonal Influence , 1989 .

[74]  Lawrence K. Waters,et al.  Informational social influence and product quality judgments. , 1977 .

[75]  K. Dugosh,et al.  Cognitive and social comparison processes in brainstorming , 2005 .