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Al-Kheetan, M J, Rahman, M M and Chamberlain, D A (2018) Remediation and protection of masonry structures with crystallising moisture blocking treatment. International Journal of Building Pathology and Adaptation, 36(01), 77–92.

Ali, A S, Azmi, N F and Baaki, T K (2018) Cost performance of building refurbishment works: the case of Malaysia. International Journal of Building Pathology and Adaptation, 36(01), 41–62.

  • Type: Journal Article
  • Keywords: Malaysia; Factors; Building refurbishment; Cost performance; Elemental cost variation;
  • ISBN/ISSN: 2398-4708
  • URL: https://doi.org/10.1108/IJBPA-02-2017-0010
  • Abstract:
    Refurbishment is inherently more sustainable than building new. However, planned and actual costs of refurbishment projects are bound to vary due to the complex nature of most such projects. This can affect the performance of refurbishment work. The purpose of this paper is to examine factors responsible for elemental cost variations between the actual and planned costs of refurbishment projects. The study also examines factors that contribute to differences in actual and planned cost between refurbishment and new build projects. Design/methodology/approach A quantitative approach was adopted for this study. A literature review identified factors responsible for elemental cost variations in refurbishment projects, as well as factors responsible for differences in actual and planned cost of new build and refurbishment projects. This was followed by a questionnaire survey of refurbishment projects across Malaysia. A total of 55 respondents provided input through a questionnaire survey to identify these factors. Findings This study demonstrates that procurement strategy (PS), inappropriate contractors (IC), poor project management (PPM), availability of funding, materials and equipment, and force majeure (FM) significantly affect refurbishment cost performance. Electrical installations, firefighting equipment, and painting were the building elements most affected by cost variations. A regression model for refurbishment cost prediction indicates that PS, IC, PPM, availability of funding, materials and equipment, and FM were significant predictors of building refurbishment cost performance. Originality/value This paper provides insight into the major factors affecting elemental cost variation of refurbishment works, as well as building elements most affected by cost variations and provides a model for predicting refurbishment cost performance.

Enshassi, A, Ayash, A and Mohamed, S (2018) Key barriers to the implementation of energy-management strategies in building construction projects. International Journal of Building Pathology and Adaptation, 36(01), 15–40.

Hosseini, M R, Roelvink, R, Papadonikolaki, E, Edwards, D J and Pärn, E (2018) Integrating BIM into facility management. International Journal of Building Pathology and Adaptation, 36(01), 2–14.

Ogbeifun, E, Mbohwa, C and Pretorius, J C (2018) Developing an effective renovation plan: the influence of data collection tools. International Journal of Building Pathology and Adaptation, 36(01), 63–76.

Opawole, A and Jagboro, G O (2018) Compensation mechanisms for minimizing private party risks in concession-based public-private partnership contracts. International Journal of Building Pathology and Adaptation, 36(01), 93–120.