The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Determinants of innovation capability: the roles of transformational leadership, knowledge sharing and perceived organizational support
Abstract
Purpose: The study aims to explore the differences in transformational leadership’s (TL’s) influences on each aspect of innovation capability, namely, product innovation and process innovation. It also deepens understanding of the pathways and conditions to improve specific aspects of innovation capability by assessing the mediating role of knowledge sharing (KS) and moderating mechanism of perceived organizational support (POS). Design/methodology/approach: The paper utilized structural equation modeling and cross-sectional design to test hypotheses in the proposed research model based on using data collected from 394 participants at 88 Chinese firms. Findings: The findings indicate that KS mediates TL’s effects on innovation capabilities. In addition, the influences of TL and KS on specific aspects of innovation capability are different and depend on the extent of employees’ POS. Research limitations/implications: Future studies should test mediating roles of knowledge management’s constituents and/or investigate the moderating roles of firm ownership form to increase the understanding of potential factors or key conditions that may have significant influences on a firm’s innovation capability. Practical implications: The paper significantly contributes to increasing the understanding of the link between TL and specific aspects of innovation capability by highlighting the important role of stimulating KS and enhancing POS. Originality/value: The paper provides useful information and valuable initiatives to increase leadership outcomes and firm’s capability for innovation.
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Perceived organizational support.
Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986) · Journal of Applied Psychology · doi:10.1037/0021-9010.71.3.500 · Cited by 10,023
Two decades of research and development in transformational leadership
Bass, B. M. (1999) · European Journal of Work and Organizational Psychology · doi:10.1080/135943299398410 · Cited by 3,254
Anderson, N., Potočnik, K., & Zhou, J. (2014) · Journal of Management · doi:10.1177/0149206314527128 · Cited by 3,103
Predicting unit performance by assessing transformational and transactional leadership.
Bass, B. M., Avolio, B. J., Jung, D. I., & Berson, Y. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.2.207 · Cited by 3,026
Barczak, G., Lassk, F., & Mulki, J. (2010) · Creativity and Innovation Management · doi:10.1111/j.1467-8691.2010.00574.x · Cited by 479
Cited by
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
Lei, H., Gui, L., & Le, P. B. (2021) · Journal of Knowledge Management · doi:10.1108/jkm-04-2020-0247 · Cited by 220
Self-citationZhang, Y., Albattat, A., Rehman, A. U., & Azam, S. M. F. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2582220 · Cited by 6
Transformational Leadership and Innovation for Competitive Advantage in Large Firms and SMEs
Ashoor, W. A. (2021) · International Journal of R&D Innovation Strategy · doi:10.4018/ijrdis.20210101.oa2 · Cited by 5
Metadata
- Authors
- Le, P. B., & Lei, H.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2019-04-08
- Volume
- 23
- Issue
- 3
- Pages
- 527-547
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W2912739288
- Cited by
- 554
- References
- 11
- FWCI
- 75.45
- Type
- journal article
- Language
- en
- Open access
- closed
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