Open Innovation

CHARLES H. NOBLE is the Proffitt s Professor of Marketing and Director of the Marketing PhD Program at the University of Tennessee, where he teaches courses in product development and innovation. He is also the Vice Chair for the PDMA. SERDAR S. DURMUSOGLU is Associate Professor of Marketing at the University of Dayton. He teaches new product development, innovation, and entrepreneurship. ABBIE GRIFFIN holds the Royal L. Garff Presidential Chair in Marketing at the David Eccles School of Business at the University of Utah. She was editor of the Journal of Product Innovation Management from 1998 to 2003.

• Introduction: The Journey into Open Innovation xiii Charles H. Noble Serdar S. Durmusoglu PART 1: OPEN INNOVATION IN THE FUZZY FRONT END 1 1 DE?]BOTTLENECKING OPEN INNOVATION: TURNING PATENT?]BASED TECHNOLOGY NETWORK ANALYSIS INTO VALUE 3 Manfred Stadlbauer Gerhard Drexler 1.1 Methods of Patent Analysis and Data Mining 3 1.2 Patent Analytics for Identifying Open Innovation Partners 12 1.3 Nanotechnology Case Study 18 1.4 Conclusion 24 2 OPEN FORESIGHT WORKSHOPS FOR OPPORTUNITY IDENTIFICATION 27 Christiane Rau Fiona Schweitzer Oliver Gassmann 2.1 Corporate Foresight Workshops and Processes 28 2.2 Opening Up the Foresight Process 30 2.3 Stages of Opening Up the Foresight Process 32 2.4 Pitfalls to Avoid 45 2.5 Keys to Success 46 2.6 Conclusion 50 PART 2: OPEN INNOVATION IN THE DEVELOPMENT STAGE 53 3 KEEPING UP WITH THE VIRTUAL VOICE OF THE CUSTOMER SOCIAL MEDIA APPLICATIONS IN PRODUCT INNOVATION 57 Anna Dubiel Tim Oliver Brexendorf Sebastian Glockner 3.1 Introduction 57 3.2 The Voice of the Virtual Customer 59 3.3 The Social Media Phenomenon 59 3.4 Social Media in New Product Development 62 3.5 Success Factors 76 3.6 Conclusion 78 4 PREDICTION, PREFERENCE, AND IDEA MARKETS: HOW CORPORATIONS CAN USE THE WISDOM OF THEIR EMPLOYEES 81 Peter Koen 4.1 Introduction 81 4.2 Virtual Stock Markets in Corporations: Prediction, Preference, and Idea Markets 83 4.3 How Well Do Prediction, Preference, and Idea Markets Work in Corporations? 89 4.4 Implementing a Stock Market in Corporations 95 4.5 Choosing a Virtual Stock Market Software Platform 100 4.6 Conclusions 103 About the Contributor 105 5 CATALYZING TACIT KNOWLEDGE EXCHANGE WITH VISUAL THINKING TECHNIQUES TO ACHIEVE PRODUCTIVE OPEN INNOVATION COLLABORATIONS 107 Karen A. Kreutz Kim D. Benz 5.1 Introduction 107 5.2 Visual Thinking Introduction 109 5.3 Visual Thinking and Open Innovation Endeavors 114 5.4 Understanding the Tacit Knowledge Exchange Challenges 117 5.5 Using Visual Thinking in OI Teams 122 5.6 Conclusions 129 6 USER COLLABORATION THROUGH PRIVATE ONLINE COMMUNITIES 135 Thomas Troch Tom De Ruyck 6.1 Introduction 135 6.2 From Crowd?]Everything to Co?]Everything 136 6.3 Crowdsourcing, Co?]creation, and Structural Collaboration 137 6.4 Private Online Communities 138 6.5 How to Get Started with Private Online Communities 153 6.6 Conclusion 169 PART 3: OPEN INNOVATION WITH UNIVERSITIES 173 7 COLLABORATIVE INNOVATION ACROSS INDUSTRYACADEMY AND FUNCTIONAL BOUNDARIES: HOW COMPANIES INNOVATE WITH INTERDISCIPLINARY FACULTY AND STUDENT TEAMS 175 Jelena Spanjol Michael J. Scott Stephen Melamed Albert L. Page Donald Bergh Peter Pfanner 7.1 Introduction 176 7.2 The IPD Model: Resolving Major Open Innovation Challenges 177 7.3 Concept Prototypes: Virtual and Physical 194 7.4 Conclusion 199 Appendix A 200 Appendix B 201 Appendix C 212 Appendix D 214 Appendix E 218 About the Contributors 222 8 OPEN INNOVATION: A FRAMEWORK FOR COLLABORATIVE PRODUCT DEVELOPMENT BETWEEN INDUSTRY AND UNIVERSITIES 225 Aruna Shekar 8.1 Introduction 225 8.2 Open Innovation Program 226 8.3 A Framework for Open Innovation between University and Industry 227 8.4 An Example of an Open Innovation Project 234 8.5 What Industry Partners Can Expect from Open Innovation Projects 237 8.6 Challenges in University?]Industry Collaborations 239 8.7 Company Feedback from Industry Partners 240 8.8 Keys to Success 240 8.9 Pitfalls to Avoid 242 8.10 Benefits of the Open Innovation Program 243 8.11 Conclusions 243 About the Contributor 244 Appendix A 246 Appendix B 248 Appendix C 253 Appendix D 254 PART 4: OPEN INNOVATION FOR REALLY BIG INITIATIVES 257 9 OPEN INNOVATION AS A DISCOVERY SOLUTION FOR CONFRONTING THE EXTRAORDINARY CHALLENGE 259 Christopher W. Miller 9.1 Surfing on Innovation Impact Waves: The Source of the Really Big Problem 260 9.2 Process, Purpose, and Payoff 260 9.3 Conclusion 276 PART 5: BEST PRACTICES AND ADVICE FOR OPEN INNOVATION 279 10 HOW TO WORK WITH SMALL COMPANIES TO EXPAND YOUR OPEN INNOVATION CAPABILITIES 281 Donna Rainone Mike Rainone Louise Musial 10.1 Introduction 281 10.2 Definitions 282 10.3 Background of Open Innovation 283 10.4 Two Paths: The Intraprenurial Organization versus the Outsourced Organization 284 10.5 How to Build Entrepreneurship within a Large Corporation 288 10.6 Why Working With Small Companies Is Important 293 10.7 Conclusion 295 11 BOOSTING OPEN INNOVATION BY LEVERAGING BIG DATA 299 Gerhard Drexler Andrej Duh Andreas Kornherr Dean Koro ak 11.1 Open Innovation and Big Data 299 11.2 Big Data Applications in Today s World 306 11.3 Big Data Analytics in Action 308 11.4 Keys to Success and Pitfalls to Avoid 313 11.5 Conclusions 315 12 AMERICAN PRODUCTIVITY AND QUALITY CENTER BEST PRACTICES STUDY: USING OPEN INNOVATION TO GENERATE IDEAS 319 Christopher W. Miller G. Anne Orban Becky Partida Andrea Stroud Paige Leavitt 12.1 Open Innovation Best Practices Study 320 12.2 Open Innovation Best Practices 321 12.3 Eleven Best Open Innovation Practices 322 12.4 Open Innovation Enablers 333 12.5 Conclusion 337 INDEX 339