The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
An approach to employees’ job performance through work environmental variables and leadership behaviours
Open accessAbstract
This study examines how the combined effects of work environmental factors and leadership behaviours lead to the presence (or absence) of industrial employees job performance by applying fuzzy-set qualitative comparative analysis (fsQCA). A sample composed of supervisor-subordinate dyads was used to test the propositions of this study. The results show that the most important variables are transformational leadership and social support. Employee empowerment and task significance seem to play a secondary role in leading to employee job performance. These findings support the need for managers to use positive leadership to manage human resources. This paper contributes to the advancement of the knowledge of employee job performance through the identification of the combinations of conditions that can lead to the presence or absence of this important organizational outcome. Directions for future studies are commented on at the end of the paper.
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PSYCHOLOGICAL CONDITIONS OF PERSONAL ENGAGEMENT AND DISENGAGEMENT AT WORK.
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Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
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Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research
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A New Model of Work Role Performance: Positive Behavior in Uncertain and Interdependent Contexts
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IMPACT OF TRANSFORMATIONAL LEADERSHIP ON FOLLOWER DEVELOPMENT AND PERFORMANCE: A FIELD EXPERIMENT.
Dvir, T., Eden, D., Avolio, B. J., & Shamir, B. (2002) · Academy of Management Journal · doi:10.2307/3069307 · Cited by 1,906
Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets
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Metadata
- Authors
- Ángeles López-Cabarcos, M., Vázquez-Rodríguez, P., & Quiñoá-Piñeiro, L. M.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 140
- Pages
- 361-369
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3213305118
- Cited by
- 293
- References
- 16
- FWCI
- 45.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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