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Technology Development and Innovative Practice
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Author(s): Robert S. Friedman (New Jersey Institute of Technology, USA), Desiree M. Roberts (Rensselaer Polytechnic Institute, NY, USA)and Jonathan D. Linton (Rensselaer Polytechnic Institute, NY, USA)
Copyright: 2009
Pages: 27
Source title:
Principle Concepts of Technology and Innovation Management: Critical Research Models
Source Author(s)/Editor(s): Robert S. Friedman (New Jersey Institute of Technology, USA), Desiree M. Roberts (Empire State College - SUNY, USA)and Jonathan D. Linton (University of Ottawa, Canada)
DOI: 10.4018/978-1-60566-038-7.ch003
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Abstract
This chapter on innovative practice supporting technological development has several thematic overlays that show some consistency in terms of patterns, but also some diversity in terms of strategies that researchers have employed in this area. Beginning with Hage and Aiken’s (1969) seminal work on routinization and how the social structures of organizations affect technological development and innovation, readers will see two general trends in terms of approach: the statistical and the sociological. Whether it is Aldrich’s (1972) use of path analysis to study the nature and effects of organizational variables on innovative practice, or Rothwell et al.’s (1974) identification of innovation success factors, or Downs and Mohr’s (1976) defining of innovation through factors of variability, quantitative methods are shown to be increasingly powerful tools in identifying the nature of innovation and technology development. Nelson and Winter (1977) continue in this vein by establishing an inclusive theoretical structure for innovation, Dewar and Hage (1978) identify variables of structural differentiation and complexity that affect this domain, and Kimberly and Evanisko (1981) suggest variables to follow that come from both within individual organization units and their wider contexts. Pavitt (1984) uses sectoral pattern analysis to describe how a combination of technology sources, user requirements, and potential technology appropriation affect how we understand technical change and the structural relationships between technology and industry. Fisher and Fry (1971) end the quantitatively based section with a discussion of their substitution forecasting model.
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