Assessing the not-invented-here syndrome
Development and validation of implicit and explicit measurements
Bibliographic Data
The not-invented-here (NIH) syndrome has been called one of the largest obstacles in innovation management, preventing effective knowledge transfer between organizational units and individuals. NIH is defined as a negatively shaped attitude towards knowledge that has to cross a disciplinary, spatial, or organizational boundary, resulting in either its suboptimal utilization or its rejection. Our goal is to equip scholars with appropriate measurement instruments for the phenomenon. On the basis of 4 studies with 1,238 subjects overall, we developed an implicit measure based on the implicit-association test as well as an explicit (survey) measure of NIH, taking into account theoretical insights on attitude structure. We provide evidence for reliability as well as construct and criterion validity. We want to facilitate further research on NIH and knowledge transfer (a) by providing a better theoretical framework for NIH on the basis of the tripartite componential model of attitudes, (b) by demonstrating the application of association-based implicit measures for management research, and (c) by providing a validated multidimensional survey scale to measure NIH explicitly. We also provide recommendations on how managers can utilize the NIH measurement instruments to investigate NIH and potential countermeasures in detail and they can test the behavioral outcomes postulated by previous research
Cognitive psychology · Cognitive science · Development (topology · Mathematical analysis · Behavioral Health and Interventions · Mathematics · Neural and Behavioral Psychology Studies · Psychology
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Microfoundations of open innovation in schools
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The psychology of attitudes
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Multidimensionafity of Leader-Member Exchange
Implicit social cognition
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A Meta-Analysis on the Correlation Between the Implicit Association Test and Explicit Self-Report Measures
Biased Assimilation, Attitude Polarization, and Affect in Reactions to Stereotype-Relevant Scientific Information
Open for innovation
A Paradigm for Developing Better Measures of Marketing Constructs
In Search of Complementarity in Innovation Strategy
Employee Learning Orientation, Transformational Leadership, and Employee Creativity
Implicit Romantic Fantasies and Women's Interest in Personal Power
Attitudes and Attitude Change
Levels of Organizational Trust in Individualist Versus Collectivist Societies
Cutoff criteria for fit indexes in covariance structure analysis
Implicit Measures in Social Cognition Research
Implicit social cognition
A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires
Nature and Operation of Attitudes
Attitudes and Attitude Change
Harvesting implicit group attitudes and beliefs from a demonstration web site
The Brief Implicit Association Test
Understanding and Using the Implicit Association Test
Predictive Validity of the Implicit Association Test in Studies of Brands, Consumer Attitudes, and Behavior
A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept
The Go/No-Go Association Task
Automatic associations and discrimination in hiring
Attitudes and the Prediction of Behavior
Matching Versus Mismatching Attitude Functions
Multiple categorization in resume screening
Asking about well‐being gets you half an answer
Measuring implicit psychological constructs in organizational behavior
To create without losing face
Not Invented Here? Innovation in company towns
Coefficient alpha and the internal structure of tests
A hierarchical model of approach and avoidance achievement motivation
Understanding and using the Implicit Association Test
Understanding and using the Implicit Association Test
Empirical validation of affect, behavior, and cognition as distinct components of attitude
Measuring individual differences in implicit cognition
Perspective taking and automatic intergroup evaluation change
Prescriptive Gender Stereotypes and Backlash Toward Agentic Women
Intergroup Bias
Convergent and discriminant validation by the multitrait-multimethod matrix
On the Use of College Students in Social Science Research
| Citations per year | 2.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |