Stimulating Innovation on Social Product Development: An Analysis of Social Behaviors in Online Innovation Communities

With firms’ increasing adoption of social product development strategies, such as mass collaboration and crowdsourcing, online users are actively participating in the development of new products and services via social media platforms. Online innovation communities (OICs), one representative of such social media platforms, have been used by large firms to collect ideas from their users and facilitate the product development process. While it is extensively studied that product ideas with high popularity on OICs are of great importance to the product development, research on what social behaviors of online users lead to the high popularity is largely unclear. This article conducts an empirical study by collecting a large-scale, quantitative dataset from an OIC between 2014 and 2018. With the analysis of users’ online idea posting and commenting behaviors, our results reveal that the idea contribution experience, together with comment diversity, positively influence the overall popularity of an individual's ideas, while the motivation of providing comments is negatively related. Moreover, user's innovation capability poses a positive effect on both overall and average popularity of ideas. These findings can help firms better incentivise their users on OICs to improve the effectiveness and efficiency of social product development.

[1]  Wolfgang Stroebe,et al.  How the Group Affects the Mind: A Cognitive Model of Idea Generation in Groups , 2006, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.

[2]  Sung Kim,et al.  Seeds of Change: Substance and Influence in Brand Communities , 2011, ICIS.

[3]  Eric von Hippel,et al.  Democratizing innovation: The evolving phenomenon of user innovation , 2005 .

[4]  A. Bullinger,et al.  Community-Based Innovation Contests: Where Competition Meets Cooperation , 2010 .

[5]  A. Muñiz,et al.  How Brand Community Practices Create Value , 2009 .

[6]  Daniel J Flint,et al.  Compressing new product success-to-success cycle time , 2002 .

[7]  Joel Podolny Networks as the Pipes and Prisms of the Market1 , 2001, American Journal of Sociology.

[8]  Atreyi Kankanhalli,et al.  Which ideas are more likely to be implemented in online user innovation communities? An empirical analysis , 2016, Decis. Support Syst..

[9]  Patricia E. Tweet Brokerage and Closure: An Introduction to Social Capital , 2006 .

[10]  Kelly Lyons,et al.  Leveraging social media to gather user feedback for software development , 2011, Web2SE '11.

[11]  D. Harrison,et al.  What's the difference? Diversity constructs as separation, variety, or disparity in organizations. , 2007 .

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

[13]  David L. Williams,et al.  Suppressor Variables in Multiple Regression/Correlation , 1992 .

[14]  Stephen K. Markham,et al.  Perspective: New Product Failure Rates: Influence of Argumentum ad Populum and Self‐Interest , 2013 .

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

[16]  Dirk Schaefer Industrial Game Changers for the Socio-sphere , 2012 .

[17]  F. Piller,et al.  From Social Media to Social Product Development: The Impact of Social Media on Co-Creation of Innovation , 2012 .

[18]  G. Pisano Which kind of collaboration is right for you , 2009 .

[19]  B. Uzzi,et al.  Social Structure and Competition in Interfirm Networks: The Paradox of Embeddedness , 1997 .

[20]  Edmund A. Mennis The Wisdom of Crowds: Why the Many Are Smarter than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations , 2006 .

[21]  Glen L. Urban,et al.  Lead User Analyses for the Development of New Industrial Products , 1988 .

[22]  John Qi Dong,et al.  Stimulating innovation by user feedback on social media: The case of an online user innovation community , 2017, Technological Forecasting and Social Change.

[23]  Jan Marco Leimeister,et al.  The Effect of Rating Scales on Decision Quality and User Attitudes in Online Innovation Communities , 2012, Int. J. Electron. Commer..

[24]  Andreas Herrmann,et al.  Should You Really Produce What Consumers Like Online? Empirical Evidence for Reciprocal Voting in Open Innovation Contests , 2018 .

[25]  E. Hippel,et al.  User Community vs. Producer Innovation Development Efficiency: A First Empirical Study , 2013 .

[26]  Karim R. Lakhani,et al.  Marginality and Problem-Solving Effectiveness in Broadcast Search , 2010, Organ. Sci..

[27]  Paul Michael Di Gangi,et al.  Steal my idea! Organizational adoption of user innovations from a user innovation community: A case study of Dell IdeaStorm , 2009, Decis. Support Syst..

[28]  Gaston Heimeriks,et al.  Crowdsourcing ideas: Involving ordinary users in the ideation phase of new product development , 2016 .

[29]  Christoph Fuchs,et al.  Customer Empowerment in New Product Development , 2011 .

[30]  Linus Dahlander,et al.  Progressing to the Center: Coordinating Project Work , 2011, Organ. Sci..

[31]  D. Dougherty Interpretive Barriers to Successful Product Innovation in Large Firms , 1992 .

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

[33]  Jong de Jpj,et al.  Open innovation in SMEs : trends, motives and management challenges , 2009 .

[34]  Kaveh Abhari,et al.  Measuring the Perceived Functional Affordances of Collaborative Innovation Networks in Social Product Development , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[35]  Annouk Lievens,et al.  Virtual lead user communities: Drivers of knowledge creation for innovation , 2012 .

[36]  Paul R. Carlile,et al.  Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge Across Boundaries , 2004, Organ. Sci..

[37]  John Roberts,et al.  The nature of lead users and measurement of leading edge status , 2004 .

[38]  F. Rothaermel,et al.  Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of TimeZone.com , 2001 .

[39]  Dirk Schaefer,et al.  Social Product Development: Introduction, Overview, and Current Status , 2014 .

[40]  E. Hippel,et al.  Lead users: a source of novel product concepts , 1986 .

[41]  J. Füller Refining Virtual Co-Creation from a Consumer Perspective , 2010 .

[42]  M. Rocío Martínez-Torres,et al.  Analysis of open innovation communities from the perspective of social network analysis , 2014, Technol. Anal. Strateg. Manag..

[43]  Dazhong Wu,et al.  Understanding Communication and Collaboration in Social Product Development Through Social Network Analysis , 2016, J. Comput. Inf. Sci. Eng..

[44]  J. West,et al.  Open innovation : researching a new paradigm , 2008 .

[45]  D. Randy Garrison,et al.  ASSESSING TEACHING PRESENCE IN A COMPUTER CONFERENCING CONTEXT , 2019, Online Learning.

[46]  J. T. Wulu,et al.  Regression analysis of count data , 2002 .

[47]  B. Uzzi,et al.  Collaboration and Creativity: The Small World Problem1 , 2005, American Journal of Sociology.