JOURNAL ARTICLE

Raising Leadership Self-Efficacy and Minimizing Organizational Burnout Among School Administrators in a GROW Model of Cognitive Behavioral Coaching.

  • Published In: Journal of Leadership & Organizational Studies, 2023, v. 30, n. 4. P. 464 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Igu, Ntasiobi C. N.; Onyishi, Charity N.; Amujiri, Benjamin A.; Binuomote, Michael O.; Modebelu, Melody N.; Okafor, Ifeoma P.; Awe, Bolupe Abayomi; Fausta, Manafa; Obih, Solomon O.; Eke, David O.; Ezemoyin, Marcel C.; Uzoma, Bethel N.; Ugwu, Joy I.; Mbon, Usen F. 3 of 3

Abstract

This article focuses on a randomized controlled trial investigating the effectiveness of the GROW-Model (GROW-M) of Cognitive Behavioral Coaching in reducing organizational burnout and enhancing leadership self-efficacy (LSE) among school administrators in Enugu State, Nigeria. The study involved 77 school administrators randomly assigned to either a GROW-M intervention group or a waitlisted control group, with the intervention delivered weekly over nine weeks. Results demonstrated that GROW-M significantly decreased burnout symptoms—including emotional exhaustion, depersonalization, and reduced professional efficacy—and significantly improved LSE, with these effects sustained at a three-month follow-up. The findings suggest that GROW-M coaching serves as a valuable resource for building resilience and coping skills in school leaders facing occupational stress, although the study notes limitations such as a small sample size and reliance on self-reported measures.

Additional Information

  • Source:Journal of Leadership & Organizational Studies. 2023/11, Vol. 30, Issue 4, p464
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:1548-0518
  • DOI:10.1177/15480518231171748
  • Accession Number:173121792
  • Copyright Statement:Copyright of Journal of Leadership & Organizational Studies is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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