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 |
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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. |
doi_str_mv | 10.11591/ijere.v9i1.20420 |
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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. 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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.</description><subject>Age Groups</subject><subject>College Administration</subject><subject>College Faculty</subject><subject>Doctoral Students</subject><subject>Educational Attainment</subject><subject>Educational Quality</subject><subject>Evaluation Methods</subject><subject>Faculty Workload</subject><subject>Foreign Countries</subject><subject>Higher Education</subject><subject>Income</subject><subject>Institutional Evaluation</subject><subject>Productivity</subject><subject>Reputation</subject><subject>Strategic Planning</subject><subject>Supervision</subject><subject>Teacher Attitudes</subject><subject>Universities</subject><issn>2252-8822</issn><issn>2620-5440</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GA5</sourceid><recordid>eNo9kEtPwzAQhC0EEhX0B3BAypFLinfjOMkRVS0PVeICZ2vjR-uqTYrtFvXfE1rEaVYzo9HqY-wO-ASgbODRr22wk0PjYYJcIL9gI5TI81IIfjncWGJe14jXbBzjmnMOhYC6LEdsPied-hAz3Xcp-HaffLfMUv9NwcQs2Ggp6FW2C73Z6-QPPh0z32Urv1zZkNnBpOT77pZdOdpEO_7TG_Y5n31MX_LF-_Pr9GmRa4Qy5Vq6tmoKImlrEE4aYaxpiZMBXRFZcOCca4VGw4FQ1wTaUEEoa5TQ8OKG3Z93bfBa7YLfUjiq2RugkIIXQ_5wzoeHv_Y2JrX1UdvNhjrb76PCopF1CVUlhiqcqzr0MQbr_ueAqxNWdcKqfrGqE9biB-VQbdw</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Henry, Caroline</creator><creator>Ghani, Nor Azura Md</creator><creator>Hamid, Umi Marshida Abd</creator><creator>Bakar, Ahmad Naqiyuddin</creator><general>Institute of Advanced Engineering and Science</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>7SW</scope><scope>ALSLI</scope><scope>CJNVE</scope><scope>M2S</scope><scope>PQEDU</scope><scope>ERI</scope><scope>GA5</scope></search><sort><creationdate>20200301</creationdate><title>Factors contributing towards research productivity in higher education</title><author>Henry, Caroline ; Ghani, Nor Azura Md ; Hamid, Umi Marshida Abd ; Bakar, Ahmad Naqiyuddin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c215t-c6fb793aa6e814f6d4dedba0ad1c7aae1f1fffb4c2d01a2c8a1cda3a268261903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age Groups</topic><topic>College Administration</topic><topic>College Faculty</topic><topic>Doctoral Students</topic><topic>Educational Attainment</topic><topic>Educational Quality</topic><topic>Evaluation Methods</topic><topic>Faculty Workload</topic><topic>Foreign Countries</topic><topic>Higher Education</topic><topic>Income</topic><topic>Institutional Evaluation</topic><topic>Productivity</topic><topic>Reputation</topic><topic>Strategic Planning</topic><topic>Supervision</topic><topic>Teacher Attitudes</topic><topic>Universities</topic><toplevel>online_resources</toplevel><creatorcontrib>Henry, Caroline</creatorcontrib><creatorcontrib>Ghani, Nor Azura Md</creatorcontrib><creatorcontrib>Hamid, Umi Marshida Abd</creatorcontrib><creatorcontrib>Bakar, Ahmad Naqiyuddin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ERIC</collection><collection>Social Science Premium Collection</collection><collection>Education Collection</collection><collection>Sociology Database</collection><collection>ProQuest One Education</collection><collection>ERIC</collection><collection>ERIC - Full Text Only (Discovery)</collection><jtitle>International journal of evaluation and research in education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Henry, Caroline</au><au>Ghani, Nor Azura Md</au><au>Hamid, Umi Marshida Abd</au><au>Bakar, Ahmad Naqiyuddin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1246403</ericid><atitle>Factors contributing towards research productivity in higher education</atitle><jtitle>International journal of evaluation and research in education</jtitle><date>2020-03-01</date><risdate>2020</risdate><volume>9</volume><issue>1</issue><spage>203</spage><epage>211</epage><pages>203-211</pages><issn>2252-8822</issn><eissn>2620-5440</eissn><abstract>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.</abstract><pub>Institute of Advanced Engineering and Science</pub><doi>10.11591/ijere.v9i1.20420</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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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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