INTEGRATING EXPERT CUSTOMERS IN NEW PRODUCT DEVELOPMENT IN INDUSTRIAL BUSINESS - VIRTUAL ROUTES TO SUCCESS

Customer integration in new product development processes (NPD) has become a potent idea in the innovation literature and enjoys increasing attention in business. In general, methods of customer integration can considerably improve a firm’s knowledge base for new product development, particularly when customer knowledge can be incorporated, which otherwise remains tacit. Interestingly, no method has been developed yet which can help to exploit customers’ expertise at exactly those stages in the NPD process where user’s wants and aspirations have to be translated into product specifications. The emerging new methods of Virtual Customer Integration represent promising new methods for filling this gap. However, these methods must fulfill certain requirements in order to gain competitive advantages from customer integration. We introduce a framework that helps to select the most appropriate method and tool of customer integration, according to the particular requirements of an industrial organization in the design and prototyping stage. Establishing these criteria is critical as they directly derive from a firm’s innovation strategy. Hence, those criteria have to be elaborated in detail. This article provides a business case which shows how to do that and what implications can be derived for choosing appropriate methods of virtual customer integration.

[1]  J. Hauser,et al.  The virtual customer , 2002 .

[2]  John R. Hauser,et al.  Application and Test of Web-based Adaptive Polyhedral Conjoint Analysis , 2002 .

[3]  K. Ibeh,et al.  The drop and collect survey among industrial populations: Theory and empirical evidence , 2002 .

[4]  David W. Beach,et al.  Integrated Product Design for Marketability and Manufacturing , 1997 .

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

[6]  Eric von Hippel,et al.  The Journal of Product Innovation Management 18 (2001) 247–257 PERSPECTIVE: User toolkits for innovation , 2022 .

[7]  E. Dahan,et al.  The predictive power of internet-based product concept testing using visual depiction and animation , 2000 .

[8]  Elisa Montaguti product development managing a dispersed process , 2016 .

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

[10]  Barton A. Weitz,et al.  Product Development - Managing a Dispersed Process by , 2011 .

[11]  Robert G. Cooper,et al.  Winning at new products : accelerating the process from idea to launch , 2001 .

[12]  Eyal Biyalogorsky,et al.  Stuck in the Past: Why Managers Persist with New Product Failures , 2006 .

[13]  John R. Hauser,et al.  Polyhedral Methods for Adaptive Choice-Based Conjoint Analysis , 2004 .

[14]  I. Nonaka A Dynamic Theory of Organizational Knowledge Creation , 1994 .

[15]  Stig Ottosson,et al.  Virtual reality in the product development process , 2002 .

[16]  T. Newkirk Listening In , 1992 .

[17]  Ikujiro Nonaka,et al.  The `ART' of knowledge:: Systems to capitalize on market knowledge , 1998 .

[18]  Andrea Hemetsberger,et al.  Virtual Customer Integration in New Product Development in Industrial Markets: The QLL Framework , 2007 .

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

[20]  John R. Hauser,et al.  “Listening In” to Find and Explore New Combinations of Customer Needs , 2004 .

[21]  Ralph Katz,et al.  Shifting Innovation to Users via Toolkits , 2002, Manag. Sci..

[22]  Chuck Paustian Better Products Through Virtual Customers , 2001 .

[23]  Etienne Wenger,et al.  Communities of Practice: Learning, Meaning, and Identity , 1998 .

[24]  F. Sultan,et al.  Placing Trust at the Center of Your Internet Strategy , 2000 .