Towards measuring strategic leadership capabilities for innovation: an empirical validation

Gaurav Tikas

Evidence-based HRM, 2023, vol. 12, issue 3, 704-723

Abstract: Purpose - This study aims to conceptualize and measure strategic leadership capabilities within research and development (R&D) teams pursuing high-tech innovation at public-funded R&D organizations in India. Design/methodology/approach - A rigorous five-stage multi-method approach defines, conceptualizes and validates the core construct “strategic leadership capabilities for innovation” (SLCI). The first stage correlates the insights generated from theoretical analysis and expert opinions on the importance of leadership for innovation. The second study identifies a three-dimensional factor structure underlying the SLCI construct and the third validates it through a confirmatory factor analysis. Replication provides additional validation. Findings - SLCI emerges as a three-dimensional construct with sub-dimensions: dynamic envisioning, ambidextrous resource utilization and empowering support for innovation. Originality/value - Conceptualization of the SLCI construct and its measurement through a 15-item scale that has been empirically validated in the public-funded R&D organizations in India.

Keywords: Innovation; Capability; Organizational leadership and leadership development; Human resource management (general); Teamwork; Strategic; High performance organizations; Research methodology (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ebhrmp:ebhrm-03-2023-0054

DOI: 10.1108/EBHRM-03-2023-0054

Access Statistics for this article

Evidence-based HRM is currently edited by Prof Thomas Lange

More articles in Evidence-based HRM from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().