Valaei, N., Rezaei, Sajad ORCID: https://orcid.org/0000-0001-7942-0611 and Ismail, W.K.W. (2017) Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling. Journal of Business Research, 70. pp. 224-233. ISSN 0148-2963
Full text not available from this repository. (Request a copy)Abstract
Some degree of ambiguity and inconsistency in organizational learning capability and its outcomes still exists, especially among small and medium-sized enterprises (SMEs). This study argues that exploitative learning strategy, explorative learning strategy, improvisational creativity, and compositional creativity are several antecedents (causal conditions) of innovation as an outcome (solution) within SMEs. This study analyzes data from a survey of 206 top managers of SMEs using PLS-structural equation modelling (PLS-SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) to demonstrate innovation and its dependence on combinations of complex antecedent conditions and various alternative paths. Though the results of the PLS-SEM analysis support the hypothetical paths except explorative learning and compositional creativity; the fsQCA findings indicate conditional support for the proposed antecedents and outcomes except explorative learning and exploitative learning. Furthermore, the complex solutions of the fsQCA analysis indicate that five combinations sufficiently explain innovation. © 2016 Elsevier Inc.
Item Type: | Article |
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Additional Information: | Staff and students at the University of Worcester can access the full-text of the online published article via the official URL. External users should check availability with their local library or Interlibrary Requests Service. |
Uncontrolled Discrete Keywords: | compositional creativity, fsQCA, improvisational creativity, innovation, learning strategies, PLS-SEM |
Divisions: | College of Business, Psychology and Sport > Worcester Business School |
Related URLs: | |
Depositing User: | Sajad Rezaei |
Date Deposited: | 17 Jan 2020 13:47 |
Last Modified: | 17 Jun 2020 17:34 |
URI: | https://eprints.worc.ac.uk/id/eprint/9048 |
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