Study of Innovative Behavior in High Technology Product Development Organizations

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A01=Mark Anthony Robben
AD=20200701
Adaption Innovation Theory
Author_Mark Anthony Robben
Category1=Non-Fiction
Category=KCF
Category=KCL
Category=KJMV5
Category=KJU
Category=NL-KC
Category=NL-KJ
complexity of information
COP=United Kingdom
designers
Discount=15
engineering management
engineers
Entrepreneur Section
eq_bestseller
eq_business-finance-law
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Estimated Path Significance
Format=BC
Format_Paperback
high technology product development organizations
HMM=234
IMPN=Routledge
Individual Innovative Behavior
individual innovative behaviour in organisations
innovation antecedents
Innovative Behavior
ISBN13=9781138326293
KAI Inventory
Kirton Adaption Innovation
lab technicians
Language_English
Leader Member Exchange
Leader Member Exchange Theory
Mark Anthony Robben
Multiple Linear Regression
Negative Path Coefficient
Negative Regression Coefficient
Negatively Related
Null Hypothesis
organisational innovation
PA=Not yet available
PD=20200701
POP=London
Positive Regression Coefficient
Present Work Environment
Price_€20 to €50
Problem Solving Style
product development teams
PS=Forthcoming
PUB=Taylor & Francis Ltd
research methodology
Significant Positive Regression Coefficient
Significant Regression Coefficient
SN=Studies on Industrial Productivity: Selected Works
Structural Equation Model
Structural Equation Modeling
Structural Equation Modeling Path
Structural Equation Modeling Path Model
Structural Equation Modeling Techniques
structural equation modelling
Subject=Business & Management
Subject=Economics
Subordinate Survey
WMM=156

Product details

  • ISBN 9781138326293
  • Format: Paperback
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 01 Jul 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: London, GB
  • Product Form: Paperback
  • Language: English
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Originally published in 1999, this volume integrates several streams of research on the antecedents of innovation to test a model of individual innovative behavior in a high technology product development organization. The sample for this research was a group of Engineers, Designers and Lab Technicians employed in an engineering department responsible for the development of high technology products. Structural equation modeling techniques and multiple linear regression were used to evaluate the research.

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