Linking ethical leadership to employee performance: The roles of leader-member exchange, self-efficacy, and organizational identification

By Fred Walumbwa, David M. Mayer, Peng Wang, Hui Wang, K. Workman, Amanda L. Christensen. 2011

964 citations recorded by the source corpus.

This research investigated the link between ethical leadership and performance using data from the People's Republic of China. Consistent with social exchange, social learning, and social identity theories, we examined leader-member exchange (LMX), self-efficacy, and organizational identification as mediators of the ethical leadership to performance relationship. Results from 72 supervisors and 201 immediate direct reports revealed that ethical leadership was positively and significantly related to employee performance as rated by their immediate supervisors and that this relationship was fully mediated by LMX, self-efficacy, and organizational identification, controlling for procedural fairness. We discuss implications of our findings for theory and practice.

Subfields: Demography, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/73abd7d41e695efdd7c25a71148074088cf2472e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

  1. M. Kaptein
  2. Dongkyu Kim
  3. David M. Mayer
  4. K. Kalshoven
  5. Christian Vandenberghe
  6. Rebecca L. Greenbaum
  7. Weichun Zhu
  8. Mayowa T. Babalola

In Information Systems and Management

  1. M. Kaptein
  2. Rebecca L. Greenbaum
  3. David M. Mayer
  4. Dongkyu Kim
  5. Christian Vandenberghe
  6. K. Kalshoven
  7. Linda Klebe Treviño
  8. Weichun Zhu

In Organizational Behavior and Human Resource Management

  1. M. Kaptein
  2. Christian Vandenberghe
  3. Rebecca L. Greenbaum
  4. Alexander Newman
  5. David M. Mayer
  6. Dongkyu Kim
  7. K. Kalshoven
  8. Michael E. Brown

Citations in the corpus