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Modeling the Nonlinearities Between Coaching Leadership and Turnover Intention by Artificial Neural Networks

Author

Listed:
  • Won Seok Bang
  • Wee Kuk Hoan
  • Ju Young Park
  • Nagireddy gari Subba Reddy

Abstract

This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression analysis. An individual ANN software was developed to predict and evaluate the relative importance of input variables on turnover intention. Furthermore, we identified the nonlinear relationship by performing a sensitivity analysis on the model. Based on the results, we concluded that coaching leadership strongly affects teachers’ attitudes toward not leaving their school. The graphical illustration of results provided strong evidence of nonlinear and complexity, suggesting that ANN models can recognize the relationship between coaching leadership dimensions with turnover Intention.

Suggested Citation

  • Won Seok Bang & Wee Kuk Hoan & Ju Young Park & Nagireddy gari Subba Reddy, 2022. "Modeling the Nonlinearities Between Coaching Leadership and Turnover Intention by Artificial Neural Networks," SAGE Open, , vol. 12(4), pages 21582440221, October.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:4:p:21582440221126885
    DOI: 10.1177/21582440221126885
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    References listed on IDEAS

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    1. Ministry of Human Resource Development, GOI, 2020. "National Education Policy 2020," Working Papers id:13106, eSocialSciences.
    2. Ozgur Demirtas & A. Akdogan, 2015. "The Effect of Ethical Leadership Behavior on Ethical Climate, Turnover Intention, and Affective Commitment," Journal of Business Ethics, Springer, vol. 130(1), pages 59-67, August.
    3. Sousa-Poza, Alfonso & Sousa-Poza, Andres A., 2007. "The effect of job satisfaction on labor turnover by gender: An analysis for Switzerland," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(6), pages 895-913, December.
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