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Directions in the Field of Technology Innovation Management

Directions in the Field of Technology Innovation Management
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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: 20
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.ch011

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Abstract

Although the goal of this book is to provide foundational knowledge through indepth consideration of the seminal literature in the technology innovation management field, we now offer some thoughts on integrating the past, present, and future research directions in this field. The underlying theme that holds together the research considered in this book is the tension between the old (current routine) and the new (innovation). Mainstream business and management theory, like economic theory, focuses on the assumption of equilibrium. The study of technology innovation management at its core considers how to manage in the face of dynamics caused by the novelty and uncertainty associated with innovation. The nature of these dynamics can differ depending on a variety of factors. In some cases, the innovation causes smaller disruptions, due either to the magnitude or the nature of its effects. Such changes are often associated with terminology such as continuous, evolutionary, incremental, or sustaining. At other times, the disruptions are quite large, either due to a greater magnitude of change or a substantial difference in the change. These changes are often associated with terms such as discontinuous, disruptive, radical, or revolutionary. A major challenge to technology innovation management research is that the assumption of equilibrium is needed in many cases to allow for sufficient simplification of phenomena to produce generalizable theory and solutions that are tractable and close formed.

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