The probabilistic of abandoned project status using ordinal logistic regression analysis

Salam, Saidah An’nisaa and Nur Farhayu, Ariffin and Mohamad Idris, Ali and Noram Irwan, Ramli (2023) The probabilistic of abandoned project status using ordinal logistic regression analysis. In: AIP Conference Proceedings; 2021 World Sustainable Construction Conference, WSCC 2021 , 15 - 16 October 2021 , Virtual, Kuantan, Pahang. pp. 1-9., 2688 (030003). ISSN 0094-243X ISBN 978-073544483-6

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The abandoned housing project leads to many negative impacts on the environment, Malaysian economy and society. The homebuyers are the victim in this matter since they are unable to own their dream house and need to pay for their existing rental house. Even worse, unfortunate homebuyers are not allowed to cross over Malaysia and get other loans from the financial institution if they failed to pay for the abandoned housing loan. Therefore, the objective of this paper is to identify the factors that contribute to the abandoned housing projects and their impact on the nation, environment, and society. Through extensive literature review from the previous studies, several factors and impacts have been listed. A quantitative research methodology was conducted in data collection through a well-designed questionnaire which was based on the extensive literature review, semi-structured interviews, and discussions with the expert panels. The questionnaires had been distributed to 100 respondents from the population of housing development stakeholders such as developers, contractors, consultants, and authorities. After that, the data were analysed using the descriptive statistics of Ordinal Logistic Regression (OLR) method whereby the relationship between each factor that contributes to the abandoned housing project and the project status for 10 selected respondents from the interview session was obtained. Further, this study develops the Probabilistic Model of Abandoned Project Status (PMAPS) to show the relationship between the factors of abandoned housing projects and the probability of project status. The findings conclude that the main factors of abandoned housing projects are financial factors, followed by project participant factors, project management factors, market signal, procurement factors, and external factors. The PMAPS can predict the project status with regards to the problem (factors of abandoned housing project) faced in each project. These findings could assist the stakeholders involved in predicting their project status regards to the problem faced. It also can be a guide for the development practitioner to apply the appropriate mitigation plan to avoid project abandonment. .

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Construction industry; Project abandonment; Ordinal Logistic Regression (OLR)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TH Building construction
Faculty/Division: Institute of Postgraduate Studies
Faculty of Civil Engineering Technology
Depositing User: Dr. Nur Farhayu Ariffin
Date Deposited: 02 Nov 2023 06:22
Last Modified: 02 Nov 2023 06:22
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