New product development structures and time-to-market

In fast-cycle, high technology industries, the speed and rate at which companies can introduce products into the market are critical for sustaining competitive advantage and market share. The authors analyze new product development by three international manufacturers that dominate a segment of the electronic component industry. The objective is to examine the impact of two distinct product development strategies and structures on time-to-market. The analysis of more than 200 new product developments provides important findings. A concentrated new product development structure, in contrast to a distributed structure, affords rapid prototyping. However, volume production is reached faster in the distributed structure. Also, devoting more time to prototyping hastens volume production.

[1]  Naufel J. Vilcassim,et al.  Investigating Household Purchase Timing Decisions: A Conditional Hazard Function Approach , 1991 .

[2]  L. Hansen.  LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF , 1982 .

[3]  G. Stalk.  Time-The Next Source of Competitive Advantage , 1988 .

[4]  K. Clark,et al.  Dynamic Manufacturing: Creating the Learning Organization , 1988 .

[5]  C. Bartlett,et al.  Managing across Borders: The Transnational Solution , 1990 .

[6]  Tony Lancaster,et al.  ECONOMETRIC METHODS FOR THE DURATION OF UNEMPLOYMENT , 1979 .

[7]  M. Eichenbaum,et al.  A Time Series Analysis of Representative Agent Models of Consumption Andleisure Choice Under Uncertainty , 1986 .

[8]  H. Theil.  Principles of econometrics , 1971 .

[9]  J. Kalbfleisch,et al.  The Statistical Analysis of Failure Time Data , 1980 .

[10]  Abbie Griffin,et al.  The Voice of the Customer , 1993 .

[11]  J. Heckman,et al.  A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data , 1984 .

[12]  J. Hauser,et al.  The House of Quality , 1988 .

[13]  S. Ghoshal,et al.  Horses for Courses: Organizational Forms for Multinational Corporations , 1993 .

[14]  D. McFadden.  A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration , 1989 .

[15]  Kannan Srinivasan,et al.  Consumer Purchase Behavior in a frequently Bought Product Category: Estimation Issues and Managerial Insights from a Hazard Function Model with Heterogeneity , 1993 .

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

[17]  S. Sanderson,et al.  Managing product families: The case of the Sony Walkman , 1995 .

[18]  John Paul Macduffie,et al.  Product variety and manufacturing performance: evidence from the international automotive assembly plant study , 1996 .

[19]  Jeffrey R. Williams,et al.  How Sustainable is Your Competitive Advantage? , 1992 .

[20]  R. Jaikumar.  Postindustrial manufacturing , 1986 .

[21]  Tony Lancaster,et al.  The Econometric Analysis of Transition Data. , 1992 .

[22]  Preston G. Smith,et al.  Developing products in half the time , 1995 .

[23]  C. Prahalad,et al.  Corporate imagination and expeditionary marketing. , 1991, Harvard business review.

[24]  Kim B. Clark,et al.  Product development performance : strategy, organization, and management in the world auto industry / Kim B. Clark, Tahahiro Fujimoto , 1991 .

[25]  D. Pollard,et al.  Simulation and the Asymptotics of Optimization Estimators , 1989 .