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:	Regression Correlation Research Methodology Statistical methods
Online Access:	https://ir.uitm.edu.my/id/eprint/33652/1/33652.pdf
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id	my-uitm-ir.33652
record_format	uketd_dc
spelling	my-uitm-ir.336522020-08-18T05:53:58Z Predicting research fund management performance using logistic regression: A case study of Universiti Tun Hussein Onn Malaysia (UTHM) research projects / Siti Nabilah Syuhada Abdullah 2014-01 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 https://ir.uitm.edu.my/id/eprint/33652/ https://ir.uitm.edu.my/id/eprint/33652/1/33652.pdf text en public degree Universiti Teknologi MARA Cawangan Kelantan Faculty of Computer and Mathematical Sciences Che Yusof, Nur Syaliza Hanim
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Che Yusof, Nur Syaliza Hanim
topic	Regression Correlation Research Methodology Statistical methods
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
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
format	Thesis
qualification_level	Bachelor degree
author	Abdullah, Siti Nabilah Syuhada
author_facet	Abdullah, Siti Nabilah Syuhada
author_sort	Abdullah, Siti Nabilah Syuhada
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_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_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_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
granting_institution	Universiti Teknologi MARA Cawangan Kelantan
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/33652/1/33652.pdf
_version_	1783734247955103744

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

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