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Understanding antecedents of new product development speed: A meta‐analysis
Author(s) -
Chen Jiyao,
Damanpour Fariborz,
Reilly Richard R.
Publication year - 2010
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/j.jom.2009.07.001
Subject(s) - generalizability theory , new product development , salient , process management , product (mathematics) , structural equation modeling , process (computing) , psychology , computer science , knowledge management , business , marketing , artificial intelligence , mathematics , developmental psychology , geometry , machine learning , operating system
Abstract New product development (NPD) speed is a key component of time‐based strategy, which has become increasingly important for managing innovation in a fast‐changing business environment. This meta‐analytic review assesses the generalizability of the relationships between NPD speed and 17 of its antecedents to provide a better understanding of the salient and cross‐situationally consistent factors that affect NPD speed. We grouped the antecedents into four categories of strategy, project, process, and team, and found that process and team characteristics are more generalizable and cross‐situationally consistent determinants of NPD speed than strategy and project characteristics. We also conducted subgroup analyses and found that research method variables, such as level of analysis, source of data, and measurement of speed, moderate the relationships between NPD speed and its antecedents. We apply the study's findings to assess several models of NPD speed, such as the balanced model of product development, the strategic orientation and organizational capability model, the compression vs. the experiential model, the centrifugal and centripetal model, and the product development cycle time model. We also discuss the implications of our findings for research and practice.