Predictive Crowding as a Concept to Support the Assessment of Disruptive Ideas: A Conceptual Framework

Purpose - The purpose of this paper, is to develop a conceptual framework for a holistic view on how to use crowd intelligence to identify the logic of sequences to fully address the potential of crowds, and contest the common assumption that one crowd fits all challenges. Design/methodology/approach - This conceptual development is based on both deductive and inductive reasoning and is the result of interdisciplinary collaboration of partner universities and research institutions. Findings - A number of research postulations are presented, opening a future research stream to provide a new perspective on application possibilities of crowdsourcing in SMEs, and encourage further discussion on crowd definition and crowd selection for varying applications. Research limitations/implications - Subsequent empirical work is called for to test various research postulations. Practical Implications - The conceptual framework demonstrates the applicability of crowd intelligence for predictive assessment of disruptive ideas, and adds to the literature on how SMEs could use Predictive Crowding (Expert Crowds) to assess disruptive ideas

[1]  Steven C. Wheelwright,et al.  Strategic Management of Technology and Innovation , 1992 .

[2]  Ohad Shamir,et al.  Good learners for evil teachers , 2009, ICML '09.

[3]  Robert G. Cooper,et al.  What's Next?: After Stage-Gate , 2014 .

[4]  G. Hearn,et al.  FROM VALUE CHAIN TO VALUE CREATING ECOLOGY , 2007 .

[5]  H. Chesbrough,et al.  Open Innovation and Strategy , 2007 .

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

[7]  Birgit Verworn,et al.  The Fuzzy Front End of Japanese New Product Development Projects: Impact on Success and Differences between Incremental and Radical Projects , 2007 .

[8]  D. Gann,et al.  How open is innovation , 2010 .

[9]  B. Kogut,et al.  Open-source Software Development and Distributed Innovation , 2001 .

[10]  R. Kozinets,et al.  The Wisdom of Consumer Crowds , 2008 .

[11]  Christian Lüthje,et al.  Whom Should Firms Attract to Open Innovation Platforms? The Role of Knowledge Diversity and Motivation , 2011 .

[12]  Soumaya Ben Letaifa.  The uneasy transition from supply chains to ecosystems: The value-creation/value-capture dilemma , 2014 .

[13]  Todd R. Zenger,et al.  Closed or open innovation? Problem solving and the governance choice , 2014 .

[14]  A. Nerkar,et al.  Beyond local search: boundary‐spanning, exploration, and impact in the optical disk industry , 2001 .

[15]  O. Gassmann,et al.  The Future of Open Innovation , 2010 .

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

[17]  Avinash Dixit,et al.  The Art of Strategy: A Game Theorist's Guide to Success in Business and Life , 2010 .

[18]  Oliver Gassmann,et al.  Opening Up the Innovation Process: Towards an Agenda , 2006 .

[19]  H. Krcmar,et al.  Community Engineering for Innovations: The Ideas Competition as a Method to Nurture a Virtual Community for Innovations , 2009 .

[20]  Gregory N. Hearn,et al.  Value creating ecologies : understanding next generation business systems , 2006 .

[21]  Mohanbir Sawhney,et al.  The Power of Innomediation , 2003 .

[22]  Cynthia Rudin,et al.  Learning to Predict the Wisdom of Crowds , 2012, ArXiv.

[23]  Linda L. Price,et al.  Why Consumers Engage in Virtual New Product Developments Initiated by Producers , 2015 .

[24]  Peter J. Williamson,et al.  Antecedents and implications of disruptive innovation: Evidence from China , 2015 .

[25]  Allan Afuah,et al.  Redefining Firm Boundaries in the Face of the Internet: Are Firms Really Shrinking? , 2003 .

[26]  Linus Dahlander,et al.  Distant Search, Narrow Attention: How Crowding Alters Organizations’ Filtering of Suggestions in Crowdsourcing , 2014 .

[27]  Paul Israel,et al.  The Sources of Innovation , 1990 .

[28]  Cornelius Herstatt,et al.  User-innovators and "local" information: The case of mountain biking , 2005 .

[29]  Jeff Howe,et al.  Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business , 2008, Human Resource Management International Digest.

[30]  Efraim Turban,et al.  What can crowdsourcing do for decision support? , 2014, Decis. Support Syst..

[31]  E. Huizingh.  Open innovation: State of the art and future perspectives , 2011 .

[32]  Ulrich Lichtenthaler,et al.  RETRACTED: Technology commercialization intelligence: Organizational antecedents and performance consequences , 2009 .

[33]  Michael A. Cusumano.  Platforms and services , 2010, Commun. ACM.

[34]  Keld Laursen.  Keep searching and you’ll find: what do we know about variety creation through firms’ search activities for innovation? , 2012 .

[35]  V. Chiesa,et al.  Organizing for technological collaborations: a managerial perspective , 1998 .

[36]  Todd R. Zenger,et al.  Open or Closed Innovation? Problem Solving and Governance Choice , 2012 .

[37]  Robert G. Cooper,et al.  Optimizing the Stage-Gate Process: What Best-Practice Companies Do—I , 2002 .

[38]  Carliss Y. Baldwin,et al.  How User Innovations Become Commercial Products: A Theoretical Investigation and Case Study , 2006 .

[39]  Clayton M. Christensen.  The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail , 2013 .

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

[41]  R. Cooper.  Third‐Generation New Product Processes , 1994 .

[42]  Tuomas Ahola,et al.  A network perspective on idea and innovation crowdsourcing in industrial firms , 2014 .

[43]  J. Howells.  Intermediation and the role of intermediaries in innovation , 2006 .

[44]  R. Cooper,et al.  Maximizing Productivity in Product Innovation , 2008 .

[45]  R. Yin.  Case Study Research: Design and Methods , 1984 .

[46]  Philip E. T. Lewis,et al.  Research Methods for Business Students , 2006 .

[47]  Thierry Bücheler,et al.  Understanding Science 2.0: Crowdsourcing and Open Innovation in the Scientific Method , 2011, FET.

[48]  Allan Afuah,et al.  Users as Innovators: A Review, Critique, and Future Research Directions , 2009 .

[49]  Michael E. Raynor,et al.  The Innovator's Solution: Creating and Sustaining Successful Growth , 2003 .

[50]  Marcus M. Keupp,et al.  Determinants and Archetype Users of Open Innovation , 2009 .

[51]  Panagiotis G. Ipeirotis,et al.  Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.

[52]  Jan Marco Leimeister,et al.  Crowdsourcing: How to Benefit from (Too) Many Great Ideas , 2013, MIS Q. Executive.

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

[54]  Oliver Gassmann,et al.  Management of the Fuzzy Front End of Innovation , 2014 .

[55]  J. Füller,et al.  Crowdsourcing: How Social Media and the Wisdom of the Crowd Change Future Companies , 2014 .

[56]  Daren C. Brabham.  Crowdsourcing as a Model for Problem Solving , 2008 .

[57]  R. Narula,et al.  Innovating through strategic alliances: moving towards international partnerships and contractual agreements , 1999 .

[58]  Philip E. T. Lewis,et al.  Research Methods for Business Students (5th edn) , 2007 .

[59]  A. Salter,et al.  The paradox of openness: Appropriability, external search and collaboration , 2014 .

[60]  B. Frey,et al.  Motivation, Knowledge Transfer, and Organizational Forms , 2000 .

[61]  Akio Nagahira,et al.  Reducing project related uncertainty in the “ fuzzy front end ” of innovation – A comparison of German and Japanese product innovation projects , 2003 .