Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah

Established in January 2006, ORICC or Office for Research, Innovation, Commercialization and Consultancy Management of University Tun Hussein Onn Malaysia, Johor, has become the main drive force to enhance research culture and activities at the university. ORICC has created many bold ideas to increa...

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Main Author: Abdullah, Siti Nabilah Syuhada
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/33652/
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author Abdullah, Siti Nabilah Syuhada
author_facet Abdullah, Siti Nabilah Syuhada
author_sort Abdullah, Siti Nabilah Syuhada
building UiTM Institutional Repository
collection Online Access
description Established in January 2006, ORICC or Office for Research, Innovation, Commercialization and Consultancy Management of University Tun Hussein Onn Malaysia, Johor, has become the main drive force to enhance research culture and activities at the university. ORICC has created many bold ideas to increase the university’s research quantities and qualities, including the creation of bold mission and vision of research at UTHM. This study aims to analyze the current performance of these funds and find out factors which influences the researchers fund management performance. It can provide assistance in identifying groups of researchers which must be advised about their research expenditure and identify possible team manager candidates that are capable of managing the research project financially in the future. A logistic regression approach was used and it was discovered that a team manager’s age, faculty and the research project’s grant type affects the research project’s fund management status. It was found that research projects who are funded by internal grants are twice more likely to fail in managing their funds than research projects funded by external grants. In terms of team managers’ faculty, when compared to FKMP, team managers from PPD have the highest risk of failing to manage the research project funds followed by team manager from FPTV, FSTPI, FKEE and FPTP. Besides that, research projects with more team members are more likely to fail in managing their research fund compared to research project with fewer team members
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institution Universiti Teknologi MARA
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spelling uitm-336522020-08-18T05:53:58Z https://ir.uitm.edu.my/id/eprint/33652/ Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah Abdullah, Siti Nabilah Syuhada Regression. Correlation Research Methodology Statistical methods Established in January 2006, ORICC or Office for Research, Innovation, Commercialization and Consultancy Management of University Tun Hussein Onn Malaysia, Johor, has become the main drive force to enhance research culture and activities at the university. ORICC has created many bold ideas to increase the university’s research quantities and qualities, including the creation of bold mission and vision of research at UTHM. This study aims to analyze the current performance of these funds and find out factors which influences the researchers fund management performance. It can provide assistance in identifying groups of researchers which must be advised about their research expenditure and identify possible team manager candidates that are capable of managing the research project financially in the future. A logistic regression approach was used and it was discovered that a team manager’s age, faculty and the research project’s grant type affects the research project’s fund management status. It was found that research projects who are funded by internal grants are twice more likely to fail in managing their funds than research projects funded by external grants. In terms of team managers’ faculty, when compared to FKMP, team managers from PPD have the highest risk of failing to manage the research project funds followed by team manager from FPTV, FSTPI, FKEE and FPTP. Besides that, research projects with more team members are more likely to fail in managing their research fund compared to research project with fewer team members 2014-01 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/33652/1/33652.pdf Abdullah, Siti Nabilah Syuhada (2014) Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah. (2014) Degree thesis, thesis, Universiti Teknologi MARA Cawangan Kelantan. <http://terminalib.uitm.edu.my/33652.pdf>
spellingShingle Regression. Correlation
Research
Methodology
Statistical methods
Abdullah, Siti Nabilah Syuhada
Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title_full Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title_fullStr Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title_full_unstemmed Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title_short Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah
title_sort predicting research fund management performance using logistic regression: a case study of universiti tun hussein onn malaysia (uthm) research projects / siti nabilah syuhada abdullah
topic Regression. Correlation
Research
Methodology
Statistical methods
url https://ir.uitm.edu.my/id/eprint/33652/