The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Relationships between innovation stimulus, innovation capacity, and innovation performance
Open accessAbstract
This paper examines the integration of the human and technological aspects of innovation management by modelling the innovation stimulus – innovation capacity relationship in determining innovation performance. The research framework developed in this study was tested amongst 194 managers of Australian firms. The survey responses indicate that both the relationships between innovation stimulus and innovation capacity and between innovation capacity and innovation performance are significant and strong. However, innovation stimulus does not show any direct effect on innovation performance, suggesting that its effect is mediated through innovation capacity. The overall practical implication that can be drawn from the findings is that to achieve high innovation performance, organizations first need to develop the behavioural and cultural context and practices for innovation (i.e. stimulus), and only within such conducive environments is it possible for organizations to develop innovative capacity in research and development and technology so as to more effectively deliver innovation outcomes and performance.
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Absorptive Capacity: A New Perspective on Learning and Innovation
Cohen, W. M., & Levinthal, D. A. (1990) · Administrative Science Quarterly · doi:10.2307/2393553 · Cited by 35,728
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
The Knowledge-creating company: How Japanese companies create the dynamics of innovation
(1997) · Research Policy · doi:10.1016/s0048-7333(97)80234-x · Cited by 13,156
Leadership and Performance beyond Expectations
Longshore, J. M., & Bass, B. M. (1987) · The Academy of Management Review · doi:10.2307/258081 · Cited by 12,412
The Effect of a Market Orientation on Business Profitability
Narver, J. C., & Slater, S. F. (1990) · Journal of Marketing · doi:10.1177/002224299005400403 · Cited by 7,947
PSYCHOLOGICAL, EMPOWERMENT IN THE WORKPLACE: DIMENSIONS, MEASUREMENT AND VALIDATION.
Spreitzer, G. M. (1995) · Academy of Management Journal · doi:10.2307/256865 · Cited by 7,383
Technological Discontinuities and Organizational Environments
Tushman, M. L., & Anderson, P. (1986) · Administrative Science Quarterly · doi:10.2307/2392832 · Cited by 6,112
ASSESSING THE WORK ENVIRONMENT FOR CREATIVITY.
AMABILE, T. M., CONTI, R., COON, H., LAZENBY, J., & HERRON, M. (1996) · Academy of Management Journal · doi:10.2307/256995 · Cited by 6,029
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Metadata
- Authors
- Prajogo, D. I., & Ahmed, P. K.
- Venue
- R&D Management
- Publisher
- Wiley
- Published
- 2006-11
- Volume
- 36
- Issue
- 5
- Pages
- 499-515
- ISSN
- 0033-6807 (ISSN-L)
- 1467-9310
- OpenAlex
- W2142118070
- Cited by
- 708
- References
- 87
- FWCI
- 25.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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Data sources
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.