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Ankrah, N A, Proverbs, D and Debrah, Y (2009) Factors influencing the culture of a construction project organisation: an empirical investigation. Engineering, Construction and Architectural Management, 16(01), 26–47.

Arif, M, Egbu, C, Alom, O and Khalfan, M M A (2009) Measuring knowledge retention: a case study of a construction consultancy in the UAE. Engineering, Construction and Architectural Management, 16(01), 92–108.

Enshassi, A, Mohamed, S and El-Ghandour, S (2009) Problems associated with the process of claim management in Palestine: Contractors' perspective. Engineering, Construction and Architectural Management, 16(01), 61–72.

Kaka, A P and Khosrowshahi, F (2009) A mathematical-based model for company-level budgeting incorporating future unknown contracts. Engineering, Construction and Architectural Management, 16(01), 48–60.

Kamardeen, I (2009) Strategic safety management information system for building projects in Singapore. Engineering, Construction and Architectural Management, 16(01), 8–25.

  • Type: Journal Article
  • Keywords: decision support systems; procurement; quality; safety
  • ISBN/ISSN: 0969-9988
  • URL: http://www.ingentaconnect.com/content/mcb/286/2009/00000016/00000001/art00001
  • Abstract:
    Purpose - The construction industry in Singapore has been recording higher accident rates compared with other industries. As an initiative to reduce occupational accidents, the Building and Construction Authority of Singapore proposed to clients to adopt quality-fee method (QFM) for tender evaluation, departing from the traditional lowest price method. Assessing tenderers' safety proposals is a crucial task for clients' project managers to implement QFM, but it is a difficult and challenging task. This study aims to provide a tool to facilitate this. Design/methodology/approach - A triple-index model was developed for estimating potential accident risks in building projects, given that a contractor's proposed safety system is in place to combat the accident hazards inherent in the project. The model was then automated as a decision support system (DSS). Case studies were conducted to test the reliability and accuracy of the DSS. Findings - The DSS produces project accident indices, and it was found in the case studies that values for this index are positively correlated with the number of accidents in building projects. The findings proved that the DSS makes a significant contribution to the state-of-the-art of risk assessment. Practical implications - The proposed model and its DSS would facilitate the implementation of QFM for tender evaluation and thereby reduce accidents. Originality/value - The paper presents a novel tool to combat accidents in construction at the early stage of tender evaluation.

Sharma, A K and Vohra, E (2009) Critical evaluation of road infrastructure in India: a cross-country view. Engineering, Construction and Architectural Management, 16(01), 73–91.