O.R. Dani

This study examined the relationship between emotional intelligence and leadership effectiveness among medical doctors in selected hospitals in Benin City, Edo State. Specifically, it aimed to investigate the impact of relationship management on leadership effectiveness; determine the extent to which self-motivation influences leadership effectiveness; examine the impact of empathy on leadership effectiveness; investigate the relationship between self-awareness and leadership effectiveness; assess how self-regulation affects leadership effectiveness; and examine the relationship between demographic factors (gender, age, years of medical practice, educational qualification) and emotional intelligence. By exploring these dimensions, the research seeks to provide empirical insights into how emotional competencies impact leadership effectiveness among medical doctors, thereby enhancing effective healthcare leadership. A survey research design was employed to facilitate a rigorous and in-depth examination of medical professionals' emotional intelligence and their effectiveness as leaders within the selected hospitals. The study population comprised of one thousand four hundred and forty- nine (1449) medical doctors (consultants, resident doctors, medical officers, and house officers) employed at two selected hospitals in Benin City, Edo State, the University of Benin Teaching Hospital (UBTH) and Edo Specialist Hospital. Primary data for this study were collected through the administration of structured questionnaires to a sample of medical doctors at the University of Benin Teaching Hospital (UBTH) and Edo Specialist Hospital (ESH) in Benin City, Edo State through direct, in-person distribution measuring constructs related to relationship management, self-motivation, empathy, self-awareness, and selfregulation using a 5- point Likert scale with options ranging from strong agreement (SA) through a neutral zone (Undecided = U) to strong disagreement (SD). The data were analysed using both descriptive statistics (frequency distributions, percentages, means, and standard deviations) and inferential statistics (correlation and regression analysis) via SPSS version 24 at a 5% significance threshold.This study examined the relationship between emotional intelligence and leadership effectiveness among medical doctors in selected hospitals in Benin City, Edo State. Specifically, it aimed to investigate the impact of relationship management on leadership effectiveness; determine the extent to which self-motivation influences leadership effectiveness; examine the impact of empathy on leadership effectiveness; investigate the relationship between self-awareness and leadership effectiveness; assess how self-regulation affects leadership effectiveness; and examine the relationship between demographic factors (gender, age, years of medical practice, educational qualification) and emotional intelligence. By exploring these dimensions, the research seeks to provide empirical insights into how emotional competencies impact leadership effectiveness among medical doctors, thereby enhancing effective healthcare leadership. A survey research design was employed to facilitate a rigorous and in-depth examination of medical professionals' emotional intelligence and their effectiveness as leaders within the selected hospitals. The study population comprised of one thousand four hundred and forty- nine (1449) medical doctors (consultants, resident doctors, medical officers, and house officers) employed at two selected hospitals in Benin City, Edo State, the University of Benin Teaching Hospital (UBTH) and Edo Specialist Hospital. Primary data for this study were collected through the administration of structured questionnaires to a sample of medical doctors at the University of Benin Teaching Hospital (UBTH) and Edo Specialist Hospital (ESH) in Benin City, Edo State through direct, in-person distribution measuring constructs related to relationship management, self-motivation, empathy, self-awareness, and selfregulation using a 5- point Likert scale with options ranging from strong agreement (SA) through a neutral zone (Undecided = U) to strong disagreement (SD). The data were analysed using both descriptive statistics (frequency distributions, percentages, means, and standard deviations) and inferential statistics (correlation and regression analysis) via SPSS version 24 at a 5% significance threshold.