Purpose of Study: The study aimed to examine the mediating effects of employee commitment in the relationship between toxic leadership and employee performance in the context of the banking sector, KP, Pakistan. The study is expected to provide significant information to existing knowledge databases about the toxic leaders, organizational commitment, and employees’ performance.
Methodology of Study: The cross-sectional design was used to conduct the study by using a 5-point Likert scale through the questionnaire to collect primary data from the high-level managers of selected commercial banks located south region of KP, Pakistan. The sample of 234 employees of both public/private sector banks was taken randomly as the sample. To compute sample, Yamane (1967) formula for selecting sample from finite population: n=population (566), level of significance, e = 0.05 & n=sample size, sample size (n) = N/1+Ne2 = 566/1+566(0.05), 2 = 234.
Main Findings: The results of the study revealed that the significant and positive association among the research variables, the significant impact of the predictors on the criterion variable, and the significant partial mediating role of the employee commitment in the relationship between the toxic leadership and employees’ performance.
Applications of Study: The current study focuses on examining the role of toxic leadership on employee performance with mediating effect of employee commitment within the banking sector of KP, Pakistan. This study's significance lies in the banking sector, desiring to acquire sustainable competitive advantage through increased employee performance and employee commitment.
Novelty/Originality of Study: The expectation that organizational commitment can improve the relationship between toxic leadership and employee performance is missed to a certain extent in the educational context that is expected to offer a new contribution to an existing database of research.
The Relationship among Emotional Leadership, Job Satisfaction and Organizational Commitment: Taking China’s Hotel Industry as an Example
