The purpose of this sequential explanatory research study is to predict the psychographics and demographics that are associated with performance among faculty in Dubai Higher Education Institutions (HEIs) and thereafter to develop a regression model. Using the purposive sampling, twenty faculty members among Dubai HEIs were used to answer the validated and tried-out interview guide which results were coded, interpreted, and clustered into themes. The research findings reveal that professional qualification, commitment, job satisfaction, motivation, personal differences, and perceived fairness in management emerged as psychographics that influence faculty performance. The psychographics and the demographics were tested whether these predict faculty performance. Using stratified sampling, not lesser than one hundred forty-nine (149) faculty members were selected to answer the validated and tried questionnaire. Using MANCOVA, the figures disclose that the educational level, professional qualification, commitment, job satisfaction, motivation, and perceived fairness in management are predictors of faculty performance. The regression model of the study is Faculty Performance = 32.076 + 12.977 Educational Level + 2.070 Professional Qualification + .967 Commitment – 10.388 Job Satisfaction + 6.926 Motivation – 1.302 Perceived Fairness in Management. The findings of this study would contribute to the identification of criteria in the hiring of faculty in Dubai HEIs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.