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Barajei, C, Kusi, E, Ackon, F, Osman, A M, Mohammed, A M Z, Simpeh, F and Gyimah, F (2024) Success factors of the consultant selection stage of the Ghanaian public construction projects: The road sector’s perspective. Construction Economics and Building, 24(01-02), 144-62.
Bello, A O, Abdulraheem, A A, Afolabi, O P, Aka, A and Gbenga, P O (2024) Assessing the underlying factors affecting trust and transparency in the construction industry: A mixed method approach. Construction Economics and Building, 24(01-02), 3-28.
Chiponde, D, Gledson, B and Greenwood, D (2024) The institutional field of learning from project-related failures: opportunities and challenges. Construction Economics and Building, 24(01-02), 163-81.
Debs, L and Hubbard, B (2023) Gathering and disseminating lessons learned in construction companies to support knowledge management. Construction Economics and Building, 23(01-02), 56-76.
Domínguez-Herrera, M M, González-Morales, O and González-Díaz, E (2023) Social responsibility of construction company as strategy for sustainability in island territories. Construction Economics and Building, 23(01-02), 30-55.
Hong, J, Akotia, J and Egbu, C (2024) Virtual reality in construction activities: Barriers for adoption in China. Construction Economics and Building, 24(01-02), 77-93.
Kapogiannis, G, Palaios, P and Sawhney, A (2024) Digital construction led growth asymmetries in Europe: The need for collaborative culture. Construction Economics and Building, 24(01-02), 50-76.
Khan, I H and Munawer, T (2024) A systematic review of economic sustainability of vertical greenery systems for buildings. Construction Economics and Building, 24(01-02), 119-43.
Suriyanon, N, Sutheerawatthana, P, Kaewmoracharoen, M and Klansai, V (2023) The utility and value of contract terms: A case study on interior contractors. Construction Economics and Building, 23(01-02), 77-94.
Uddin, S M J, Albert, A, Pradhananga, N, Ganapati, N E and Prajapati, J (2023) Health and safety challenges among post-disaster reconstruction workers. Construction Economics and Building, 23(01-02), 4-30.
Upadhyaya, D and Malek, M S S (2024) An exploratory factor analysis approach to investigate health and safety factors in Indian construction sector. Construction Economics and Building, 24(01-02), 29-49.
- Type: Journal Article
- Keywords: dimensions; exploratory factor analysis; health & safety
- ISBN/ISSN: 2204-9029
- URL: https://doi.org/10.5130/ajceb.v24i1/2.8867
- Abstract:
Construction sites require greater safety precautions due to unsafe working conditions. Health and Safety (H&S) in the Indian construction sector is very poor. Even with this reality, Indian researchers have paid little attention to H&S issues. Understanding important dimensions improves on-site H&S. So, this study aims to find out the most important aspects and factors that affect health and safety on the job site in the Indian construction industry and get other developing countries to do the same. A piloted and tested questionnaire survey approach was employed in this study to verify and confirm the set of dimensions explored from the existing literature. After compiling a final set of 61 dimensions, Exploratory Factor Analysis (EFA) was used to analyze them. Out of the original 61 dimensions, 35 were deemed significant and clustered into 4 main factors: management regulatory factor, worker's self-regulatory factor, workplace regulatory factor, and government regulatory factor. The study's findings may help decision-makers, top management, and workers to understand H&S and its effective implementation. The results will also encourage developing countries to implement H&S governance for on-site H&S. Future studies for the Indian construction sector can examine the factors using confirmatory factor analysis (CFA), and a model by structural equation modeling (SEM) or Path Model can be developed by using the dimensions and extracted factors given in this work. In the future, emerging nations should conduct more research in this direction is also recommended.
Wood, X, Ghimire, P, Kim, S, Barutha, P and Jeong, H D (2024) Framework for evaluating the success of integrated project delivery in the industrial construction sector: A mixed methods approach & machine learning application. Construction Economics and Building, 24(01-02), 94-118.