User Ideation on Online Platforms: A Case Study of My Starbucks Idea

The objective of this study is to explore the factors that are keys for an idea to be implemented on an online crowdsourcing platform. A data set of 320 implemented ideas from My Starbucks Idea – an online crowdsourcing platform – has been analyzed. We find that only one out of 500 users’ submitted ideas are selected for implementation. The number of implemented ideas increases significantly at the early stage of the platform. At the mature stage, even though an increasing number of ideas are submitted, implemented ideas are proportionately low. Among the three categories of ideas – product, experience, and involvement – ideas of the product category are implemented with lower values of some associated variables than that of the experience category whereas those values in the involvement category are highest. Linked ideas need lower scores than sole ideas to get implemented. The chance that an idea to be implemented largely depends on vote received by and point earned on that idea.

[1]  M. Hoegl,et al.  Organizational knowledge creation and the generation of new product ideas: A behavioral approach , 2008 .

[2]  Paul Michael Di Gangi,et al.  Getting Customers' Ideas to Work for You: Learning from Dell how to Succeed with Online User Innovation Communities , 2010, MIS Q. Executive.

[3]  M. Sawhney,et al.  Communities of Creation: Managing Distributed Innovation in Turbulent Markets , 2000 .

[4]  K. Boudreau,et al.  How to Manage Outside Innovation , 2009 .

[5]  Linus Dahlander,et al.  Online Communities and Open Innovation , 2008 .

[6]  Mokter Hossain.  Performance and Potential of Open Innovation Intermediaries , 2012 .

[7]  Dominik Walcher,et al.  Toolkits for Idea Competitions: A Novel Method to Integrate Users in New Product Development , 2006 .

[8]  K. Lakhani,et al.  The Principles of Distributed Innovation , 2007, Innovations: Technology, Governance, Globalization.

[9]  Henry Chesbrough,et al.  Open Innovation: The New Imperative for Creating and Profiting from Technology , 2003 .

[10]  Martin W. Wallin,et al.  A man on the inside: Unlocking communities as complementary assets , 2006 .

[11]  Peter R. Magnusson,et al.  Tuning Users' Innovativeness During Ideation , 2010 .

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

[13]  M. Rocío Martínez-Torres,et al.  Application of evolutionary computation techniques for the identification of innovators in open innovation communities , 2013, Expert Syst. Appl..

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

[15]  M. Hossain,et al.  Users' motivation to participate in online crowdsourcing platforms , 2012, 2012 International Conference on Innovation Management and Technology Research.

[16]  Carlos Angel Iglesias,et al.  Classifying and comparing community innovation in Idea Management Systems , 2013, Decis. Support Syst..

[17]  J. Wiley.  Expertise as mental set: The effects of domain knowledge in creative problem solving , 1998, Memory & cognition.

[18]  J. West,et al.  Managing Distributed Innovation: Strategic Utilization of Open and User Innovation , 2012 .

[19]  A. Petruzzelli,et al.  A literature review on markets for ideas: Emerging characteristics and unanswered questions , 2014 .

[20]  Heli Väätäjä,et al.  Rewarding in open innovation communities – how to motivate members , 2010 .

[21]  A. Bullinger,et al.  Innovation Contests: A Review, Classification and Outlook , 2012 .

[22]  René Rohrbeck,et al.  Sourcing innovation from your customer: how multinational enterprises use Web platforms for virtual customer integration , 2010, Technol. Anal. Strateg. Manag..

[23]  Karim R Lakhani,et al.  Using the crowd as an innovation partner. , 2013, Harvard business review.

[24]  Stefan Hrastinski,et al.  A Review of Technologies for Open Innovation: Characteristics and Future Trends , 2010, 2010 43rd Hawaii International Conference on System Sciences.

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

[26]  Daniel A. Levinthal,et al.  ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .

[27]  J. Rayport,et al.  Spark innovation through empathic design. , 1997, Harvard business review.

[28]  M. Sawhney,et al.  Collaborating to create: The Internet as a platform for customer engagement in product innovation , 2005 .

[29]  J. Rowley,et al.  Customer community and co-creation: a case study , 2007 .

[30]  Nikolaus Franke,et al.  Integrating Problem Solvers from Analogous Markets in New Product Ideation , 2014, Manag. Sci..

[31]  Fernando González-Ladrón-de-Guevara,et al.  Towards an integrated crowdsourcing definition , 2012, J. Inf. Sci..

[32]  Volker Bilgram,et al.  User-Centric Innovations in New Product Development - Systematic Identification of Lead Users Harnes , 2008 .

[33]  Greg A. Stevens,et al.  3,000 Raw Ideas = 1 Commercial Success! , 1997 .

[34]  O. Gassmann,et al.  Open R&D and Open Innovation: Exploring the Phenomenon , 2009 .

[35]  G. Jouret.  Inside Cisco's Search for the Next Big Idea , 2009 .

[36]  Peter A. Rosen,et al.  Crowdsourcing Lessons for Organizations , 2011, J. Decis. Syst..

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

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