Factors contributing towards research productivity in higher education

Research Productivity (RP) is the key element in the establishment of ranking and rating system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven the research culture among academic staff, there are still constraints and resistance towards conducting research. The...

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Veröffentlicht in:International journal of evaluation and research in education 2020-03, Vol.9 (1), p.203-211
Hauptverfasser: Henry, Caroline, Ghani, Nor Azura Md, Hamid, Umi Marshida Abd, Bakar, Ahmad Naqiyuddin
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container_issue 1
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container_title International journal of evaluation and research in education
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creator Henry, Caroline
Ghani, Nor Azura Md
Hamid, Umi Marshida Abd
Bakar, Ahmad Naqiyuddin
description Research Productivity (RP) is the key element in the establishment of ranking and rating system in the Higher Education (HE) sector. Despite of the many initiatives taken to enliven the research culture among academic staff, there are still constraints and resistance towards conducting research. Therefore, this study attempts to identify the factors affecting RP and develop an appropriate model to determine the RP of an academic staff in Universiti Teknologi MARA (UiTM). In this study, 5 research related indicators were used in the determination of RP. Since the population size of UiTM is large, the primary data was collected by using questionnaire survey and stratified random sampling. The variables that were found to be significant in determining RP of an academic staff were age cohort, highest qualification, cluster and track emphasis. Satisfaction towards annual KPI, UiTM current policy and monthly income were also found to influence the RP of an academic staff. In addition, perceiving the role of principal investigator as a chore and burden and supervising and graduating a PhD student perception as burden and pleasure were also found to be affecting RP. Using these variables, Logistic Regression Model was used to determine the RP of an academic staff in UiTM. In conclusion, personal, environmental and behavioural factors were found to have influence on the RP among academic staff of UiTM. Therefore, generally it is possible to maximize the RP of academic staff by identifying the factors influencing RP followed by strategic management and proper monitoring system.
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In addition, perceiving the role of principal investigator as a chore and burden and supervising and graduating a PhD student perception as burden and pleasure were also found to be affecting RP. Using these variables, Logistic Regression Model was used to determine the RP of an academic staff in UiTM. In conclusion, personal, environmental and behavioural factors were found to have influence on the RP among academic staff of UiTM. 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subjects Age Groups
College Administration
College Faculty
Doctoral Students
Educational Attainment
Educational Quality
Evaluation Methods
Faculty Workload
Foreign Countries
Higher Education
Income
Institutional Evaluation
Productivity
Reputation
Strategic Planning
Supervision
Teacher Attitudes
Universities
title Factors contributing towards research productivity in higher education
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