The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Need for Cognition as an Antecedent of Individual Innovation Behavior
Abstract
The authors propose that need for cognition, an individual’s tendency to engage in and enjoy thinking, is associated with individual innovation behavior. Moreover, drawing on an interactionist perspective, the authors suggest that need for cognition becomes more important when individuals face lower job autonomy and time pressure in their work. This is because, when these job characteristics are low, there is no contextual driving force for individual innovation, so personality has a stronger influence. In a multisource study of 179 employees working in a Dutch research and consultancy organization, the authors’ expectations were largely supported. They found that need for cognition was positively associated with peer-rated innovation behavior, as were job autonomy and time pressure, even when controlling for openness to experience and proactive personality. Furthermore, the relationship between need for cognition and innovation behavior was strongest for individuals with low job autonomy and low time pressure and indeed was nonexistent at high levels of these contextual variables. This study, therefore, suggests that context can substitute for an individual’s need for cognition when it comes to individual innovation.
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Cited by
Anderson, N., Potočnik, K., & Zhou, J. (2014) · Journal of Management · doi:10.1177/0149206314527128 · Cited by 3,103
INNOVATION IN THE PUBLIC SECTOR: A SYSTEMATIC REVIEW AND FUTURE RESEARCH AGENDA
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Metadata
- Authors
- Wu, C.-H., Parker, S. K., & de Jong, J. P. J.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2011-12-21
- Volume
- 40
- Issue
- 6
- Pages
- 1511-1534
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2125481661
- Cited by
- 348
- References
- 15
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.