Managerial Effectiveness

The purpose of this paper is to investigate the theoretical linear model on intelligence, i.e. emotional, social, cognitive, and cultural intelligence and its impact on managerial effectiveness and career success in the perspective of insurance sector of Pakistan. Data collected from 202 managers of insurance companies by using structured questionnaires’ and simple random sampling technique. Multiple regression analysis has used to check the simultaneous effect of multiple types of intelligence on managerial job outcomes. The results of research revealed that emotional, social, and cognitive intelligence have positive effect on managerial effectiveness and career success. Emotional intelligence is one of the strongest predictor that has significant impact of managerial effectiveness compared to other types of intelligence. Conversely, cultural intelligence has insignificant relation with managerial effectiveness and career success. There are very rare studies conducted to explore the role of multiple types of intelligence to improve managerial job outcomes in the context of insurance sector. This study proved that the transformation of business from production era to relationship-based era increases the importance of multiple types of intelligence to become an effective manager.  Moreover, this study contributes in theoretical literature and explores new dimensions for future researchers, practitioners’, and management consultants to recognize the effectiveness of intelligence especially in services sector organizations. Data collected from one sector and by using one point of time raised the issue of common method variance and causality. This study has examined the overarching model on intelligence. Researchers did not find a single study that has addressed the multiple types of intelligence and its impact on managerial outcomes in the perspective of insurance sector.

Lecturers are one of  the keys of success in the higher education  system  process which is expected  to improve broadly in the quality of education. This study aims to determine the effect of managerial effectiveness, work environment, and self-development on work engagements. The population of this study is lecturers who have a National Lecturer Registration Number at the College of Economics, with a population of 377 lecturers and a sample of 200 lecturers, with a proportional random sampling technique. The data analysis technique in this study used Structural Equation Modeling (SEM) and data processing used Partial Least Square-Structural Equation Model (PLS-SEM) software. The results of the study showed that (1) managerial effectiveness does not have direct effect on work engagement, (2) work environment has positive direct effect on work engagement, (3) self-development has positive direct effect on work engagement (4) managerial effectiveness has positive direct effect on work environment, (5) managerial effectiveness does not have direct effect on self-development, (6) work environment has positive direct effect on self-development.