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Decision tree and ordinal logistic regression methods for maintaining university sutainability


Teoh, Siew Chin and Mohd Shokri, Mohammed Syazwan and Abd Rahman, Rosshairy (2019) Decision tree and ordinal logistic regression methods for maintaining university sutainability. International Journal of Supply Chain Management (IJSCM), 8 (1). pp. 989-997. ISSN 2050-7399

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Abstract

Recently, there are lots of cases regarding the use of fake account and cyberbullying. The irresponsible attitude is badly affecting the motivation of individual who being attacked and ruining the reputation of organization involved. This study is conducted among university students that aims to determine the factors of choosing fake account as a medium to raise an issue and to identify the impact of cyberbullying towards university’s reputation. About 380 samples were taken from undergraduate and postgraduate students.The data was analyzed using Decision Tree and Ordinal Logistic Regression (ORD) methods. The results show that there are students who have experienced cyberbullying or cyber victimization, which caused by the lack of parental support. The analysis from ORD method shows that fake account could affect university’s reputation. Hence, this research hopefully capable to create awareness among university students and help them to proudly present their university’s great name throughout the world. This is important to ensure the sustainability of community and university

Item Type: Article
Uncontrolled Keywords: Decision Tree, Ordinal Logistic Regression, University sustainability, cyberbullying, fake account.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Quantitative Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 04 Mar 2019 03:09
Last Modified: 04 Mar 2019 03:09
URI: http://repo.uum.edu.my/id/eprint/25704

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