The Impact of User-Generated Content On Product Innovation

Our research investigates the impact of user-generated content (UGC) on product innovation. Prior research has focused on the role of UGC as a form of consumer-to-consumer communication that enhances product promotion. Our research focuses on the role of UGC as a form of consumer-to-developer communication that facilitates product innovation. Specifically, we examine the impact of two categories of UGC (i.e., contributions that reflect user ideas and contributions that contain user-generated solutions) on two innovation outcomes (product improvement and market response). We apply this categorization to a longitudinal sample of nearly 5,000 open source software projects and jointly model the impact of idea-centric and solution-centric contributions on these innovation metrics. In contrast to commonly held thought, our results suggest that the impact of UGC is not strictly positive, but varies according to both the type of UGC as well as the metric of product innovation. Collectively, our research provides a broadened conceptualization of UGC and suggests that user contributions may both help and hinder product innovation.The recent rise in user-generated content (UGC) is dramatically reshaping the marketing landscape (Marketing Science Institute 2008). An increasing number of knowledgeable and connected consumers are no longer content with merely choosing and using a company’s products; they also want to contribute to the development and promotion of these offerings (O’Hern and Rindfleisch 2010; von Hippel 2005). These contributions have fueled the rise of new ventures such as Jones Soda, Threadless, and YouTube, and are being creatively leveraged by a growing collection of established firms such as Dell, Intuit, and Procter & Gamble (Chafkin 2008; Cook 2008; Huston and Sakkab 2006). These changes in marketing practice also challenge marketing thought, as the rise of user contributions disrupts established paradigms regarding the roles of firms and consumers (Vargo and Lusch 2004).In recent years, a growing number of scholars have begun to investigate the impact of UGC on various marketing outcomes (Chevalier and Mayzlin 2006; Godes and Mayzlin 2004; Li and Hitt 2008; Mayzlin 2006; Moe and Trusov 2011). Although this emerging research provides important contributions to our understanding of UGC, it is characterized by a singular focus on consumer-to-consumer communications, and suggests that the power of UGC lies in its ability to draw attention to a product and promote it via word of mouth. Thus, much of the extant UGC research has focused on contributions that are evaluative in nature, such as product ratings and reviews (e.g., Amazon.com, Yelp.com). However, emerging research in the user innovation domain suggests that user contributions can also be creative in nature, ranging from requests for specific product enhancements (e.g., Dell IdeaStorm) to actual product modifications (e.g., The Sims and Firefox). These latter forms of UGC serve as a means of consumer-to-developer communication, and provide a mechanism for consumers to contribute ideas and solutions that may directly influence product innovation. Although a growing body of research suggests that consumer contributions enhance the innovation process of many firms, this work is seldom cited in the UGC literature (see Piller and Ihl 2009 for a review).Our research seeks to address this gap and contribute to the emerging UGC literature by assessing the impact of a wider array of UGC activity on product innovation. Given our broadened perspective and focus on product innovation, we define UGC as original contributions by a product’s users aimed at fellow users and/or product developers. These contributions provide product developers with either information regarding how a product performs or how it can be improved (i.e., idea-centric UGC), or information containing actual solutions to product-related problems (i.e., solution-centric UGC). Although marketing’s existing UGC literature predominantly focuses on idea-centric UGC in the form of ratings and reviews, we consider both types of UGC and suggest that these two categories of contributions vary in their impact on product innovation. Our definition and conceptualization enriches the extant UGC research by incorporating insights from related research in the domain of user innovation (e.g., Franke and Shah 2003; Luthje et al. 2005; Thomke and von Hippel 2002; von Hippel 2005). This conceptualization serves as a point of distinction from prior UGC research in marketing, which generally views user contributions as a form of word of mouth communication rather than as a creative means of product innovation.Using open source software (OSS) as our empirical context, we test our conceptualization by jointly examining the impact of two different categories of UGC (idea-centric vs. solutioncentric) on two different innovation metrics (product improvement vs. market response) across a longitudinal sample of 4,978 OSS projects. Our analysis reveals both positive and negative effects of UGC on innovation performance and indicates that the type of UGC that impacts product improvement is different from the type of UGC that impacts market response. Thus, our results suggest that the effects of UGC are more nuanced than previously recognized. Our research contributes to both marketing theory and practice. We enhance marketing theory by presenting an expanded conceptualization of UGC that reflects the multiple ways in which users can participate in developing and promoting new products. We enhance marketing practice by offering managerially relevant insights regarding how to utilize UGC to enhance both internal (i.e., product improvement) and external (i.e., market response) innovation metrics.

[1]  Lorin M. Hitt,et al.  Self Selection and Information Role of Online Product Reviews , 2007, Inf. Syst. Res..

[2]  Balaji Rajagopalan,et al.  Exploring the Open Source Software Bazaar , 2004 .

[3]  F. Piller,et al.  Open Innovation with Customers Foundations, Competences and International Trends , 2009 .

[4]  Gaurav Bhalla Collaboration and Co-creation: New Platforms for Marketing and Innovation , 2010 .

[5]  Sonali K. Shah Motivation, Governance, and the Viability of Hybrid Forms in Open Source Software Development , 2006, Manag. Sci..

[6]  Yong Liu Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .

[7]  Kevin Crowston,et al.  Free/Libre open-source software development: What we know and what we do not know , 2012, CSUR.

[8]  Wendy W. Moe,et al.  Measuring the Value of Social Dynamics in Online Product Ratings Forums , 2010 .

[9]  Dina Mayzlin,et al.  Promotional Chat on the Internet , 2006 .

[10]  C. Anderson,et al.  Free: The Future of a Radical Price , 2009 .

[11]  Anne S. Miner,et al.  Organizational Improvisation and Organizational Memory , 1998 .

[12]  Wayne D. Hoyer,et al.  Consumer Cocreation in New Product Development , 2010 .

[13]  S. Cook THE CONTRIBUTION REVOLUTION : Letting Volunteers Build Your Business , 2008 .

[14]  N. Sakkab,et al.  Connect and Develop : Inside Procter & Gamble's New Model for Innovation , 2006 .

[15]  Gerard J. Tellis,et al.  Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance , 2011, Mark. Sci..

[16]  J. Tirole,et al.  Some Simple Economics of Open Source , 2002 .

[17]  Reinhard Prügl,et al.  Learning from Leading-Edge Customers at the Sims: Opening Up the Innovation Process Using Toolkits , 2006 .

[18]  Kevin Crowston,et al.  Core and Periphery in Free/Libre and Open Source Software Team Communications , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[19]  Michael Keane,et al.  A Computationally Practical Simulation Estimator for Panel Data , 1994 .

[20]  Robert P. Leone,et al.  Psychological Implications of Customer Participation in Co-Production , 2003 .

[21]  Kevin Crowston,et al.  Coordination practices within FLOSS development teams: The bug fixing process , 2004, Computer Supported Acitivity Coordination.

[22]  Likoebe M. Maruping,et al.  Impacts of License Choice and Organizational Sponsorship on User Interest and Development Activity in Open Source Software Projects , 2006, Inf. Syst. Res..

[23]  David Godes,et al.  Using Online Conversations to Study Word-of-Mouth Communication , 2004 .

[24]  J. Geweke,et al.  Bayesian Inference in Econometric Models Using Monte Carlo Integration , 1989 .

[25]  Sonali K. Shah,et al.  How Communities Support Innovative Activities: An Exploration of Assistance and Sharing Among End-Users , 2003 .

[26]  Peter S. Fader,et al.  Customer-Base Analysis in a Discrete-Time Noncontractual Setting , 2009, Mark. Sci..

[27]  Panagiotis G. Ipeirotis,et al.  Show me the money!: deriving the pricing power of product features by mining consumer reviews , 2007, KDD '07.

[28]  Karim R. Lakhani,et al.  Community, Joining, and Specialization in Open Source Software Innovation: A Case Study , 2003 .

[29]  Patricia R. Ladd,et al.  The Wikipedia revolution : how a bunch of nobodies created the world's greatest encyclopedia , 2009 .

[30]  Patricia B. Seybold,et al.  Outside Innovation: How Your Customers Will Co-Design Your Company's Future , 2006 .

[31]  P. Evans,et al.  Collaboration rules , 2005, IEEE Engineering Management Review.

[32]  Param Vir Singh,et al.  Social Capital, Structural Holes and Team Composition: Collaborative Networks of the Open Source Software Community , 2007, ICIS.

[33]  Matthew O'Hern,et al.  CUSTOMER CO-CREATION: A TYPOLOGY AND RESEARCH AGENDA , 2009 .

[34]  Gary L. Lilien,et al.  User-Generated Open Source Products: Founder's Social Capital and Time to Product Release , 2012, Mark. Sci..

[35]  V. Dhar,et al.  Does Chatter Matter? The Impact of User-Generated Content on Music Sales , 2007 .

[36]  John Cullen,et al.  Democratizing Innovation , 2020, Encyclopedia of Creativity, Invention, Innovation and Entrepreneurship.

[37]  David A. Schweidel,et al.  Online Product Opinions: Incidence, Evaluation, and Evolution , 2012, Mark. Sci..

[38]  Subrata Biswas,et al.  The Future of Competition: Co-Creating Unique Value with Customers , 2004 .

[39]  Michel Wedel,et al.  Cross-Selling Through Database Marketing: A Mixed Data Factor Analyzer for Data Augmentation and Prediction , 2003 .

[40]  E. Hippel,et al.  Customers As Innovators: A New Way to Create Value , 2002 .

[41]  David Godes,et al.  Firm-Created Word-of-Mouth Communication: Evidence from a Field Test , 2009, Mark. Sci..

[42]  Stephen L. Vargo,et al.  Evolving to a New Dominant Logic for Marketing , 2004 .

[43]  J. Herbsleb,et al.  Two case studies of open source software development: Apache and Mozilla , 2002, TSEM.

[44]  Barry L. Bayus,et al.  Crowdsourcing and Individual Creativity Over Time: The Detrimental Effects of Past Success , 2010 .

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

[46]  Steven Weber,et al.  The Success of Open Source , 2004 .

[47]  Aric P Rindfleisch,et al.  Customer Co-Creation , 2010 .

[48]  D. McFadden,et al.  The method of simulated scores for the estimation of LDV models , 1998 .

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

[50]  Kevin Crowston,et al.  Reclassifying Success and Tragedy in FLOSS Projects , 2010, OSS.

[51]  D. Roodman,et al.  Estimating Fully Observed Recursive Mixed-Process Models with Cmp , 2009 .

[52]  Gary L. Lilien,et al.  Location, Location, Location: How Network Embeddedness Affects Project Success in Open Source Systems , 2006, Manag. Sci..

[53]  David Fisk A model of innovation , 2007 .