Analysis of Job Satisfaction of Faculty in Universities in Rwanda


Book Description

This study analyzed factors contributing to job satisfaction of faculty members in public and private universities in Kigali, Rwanda. This would improve faculty members' performance; provide better quality of education so as to build a competitive and dynamic knowledge based economy. The study used a descriptive-correlation and descriptive comparative research design, where 169 out of 300 respondents completed a structured questionnaire. The data collected in the study was analyzed by the Statistical Package for Social Science (SPSS). Study findings revealed that faculty members in public and private universities were moderately satisfied with their work of teaching; faculty members had low level work satisfaction in terms of remuneration, moderate level of work satisfaction in terms of promotion, leadership, supervision, spirituality and high level of work satisfaction in terms of gender equality; a significant moderate positive correlation between each of the independent variable remuneration, promotion, supervision, leadership, and spirituality with job satisfaction; a significant low positive correlation between independent variable gender equality .













Job Satisfaction in Higher Education


Book Description

This book is about the job satisfaction or dissatisfaction of workers generally, and those in higher education in particular. The aim of the book is to explain how to determine the average level of workers’ job satisfaction as a basis for decision and policy making in organisations including the relevant government departments.







International Survey of Research University Faculty


Book Description

The report examines the feelings of research university faculty about their level of satisfaction with a broad range of factors and attributes of their current jobs: their relationship with students, colleagues, college and departmental administration; their feelings about prospects for advancement, their level of job security and their hopes for the future. The study also provides data on faculty evaluation of highly specific job features such as health benefits, retirement benefits, salaries, the quality of information technology and office space at the university and much more. Faculty comment on what they like most and least about their academic positions, and whether they would do it all over again.




A Study of Job Satisfaction Among Non PHD Faculty In Universities


Book Description

This study was conducted to comprehend the overall job satisfaction of non-PhD faculty in universities of Sindh. The study was based on (Herzberg's, 1959) two factors, motivator (Advancement, Recognition) and Hygiene (Interpersonal, Policies, Compensation) of job satisfaction. A well-structured questionnaire based on (Castillo & Cano, 2004) job satisfaction index was applied to obtain required data from non-PhD faculty members of universities. 125 non PhD faculty members from various universities at a response rate of 83% participated in the survey. The 81% data was reliable for the analysis. The frequencies and cross tabs were calculated from the data. The majority of the respondents was male, graduate, below 30 years of age, married and had job experience of more than 5 years. The factor analysis was applied to find out the underlying variance among the variables. The analysis has found five new components of the job satisfaction. The results showed that overalljob satisfaction among the non-PhD faculty members of universities was very low. The motivator and job satisfaction components have significant impact on the overall job satisfaction of the non-PhD faculty.Considering the results, the management of the universities is recommended to focus on the job motivators (Advancement, Recognition) hygiene (Interpersonal/Administration relationship, Policies, Compensation) of the non-PhD faculty for the improvement of job satisfaction and performance. The researchers and scholars may conduct further studies on the factors identified through factor analysis.