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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.
- Type: Journal Article
- Keywords: contract terms; payment; Thailand; case study; negotiation; owner; tenants
- ISBN/ISSN:
- URL: https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/8532
- Abstract:
This study applied the conjoint analysis technique to appraise the utility of interior contractors’ contract terms and project price conditions, the sample group comprising 112 interior contractors working in 12 shopping centers of a public company in Thailand. The results showed that the advance payment term, the period of an interim payment term, the period to make a payment term, and the project price conditions had average utility ratios (ratio of its utility to the total utility) of 28.53%, 20.24%, 20.41%, and 25.87%, respectively. These results confirmed that each of these three contract terms are as important to interior contractors as the project price condition (no price reduction by 5% of the proposed price). This study also valued the three contract terms by comparing their utility with the utility of the project price condition. The values of the terms to the interior contractor were as follows: the value of the advance payment term varied between 0.00–11.67% of the proposed price; the value of the period of the interim payment term varied between 1.25–8.33% of the proposed price; and the value of the period to make a payment term varied between 2.00–11.67% of the proposed price. The value of all three contract terms varied between 12.00–20.00% of the proposed price. The insights into the utility and value of these three contract terms from this study could aid project owners or tenants of shopping centers in project price negotiations.
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.
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.