Modeling for management of variations in building projects
Faculty / School
Faculty of Business Administration (FBA)
Department of Management
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Engineering, Construction and Architectural Management
Purpose - This paper seeks to present research into the development of a theoretical model for making more informed decisions for the management of variations in building projects. Primarily, the study proposes six principles of effective variation management, which would be helpful for building professionals in assessing and taking proactive measures for reducing the adverse impact of variations. Design/methodology/approach - Based on the principles of effective variation management, a theoretical framework for management of variation orders was developed. The stages presented in the theoretical framework were grouped into three main phases - screening, choice of promising alternatives, and dominance building. Based on the theoretical framework, a model for management of variations was developed. Findings - The theoretical model presents a structured format for management of variation orders. The model will enable the project team to take advantage of beneficial variations when the opportunity arises without an inordinate fear of the negative impacts. By having a systematic way to manage variations, the efficiency of project work and the likelihood of project success should increase. Originality/value - The study would assist building professionals in developing an effective variation management system. The model emphasized sharing the lessons learned from existing projects with project teams of future projects. The lessons learned should be identified throughout the project life cycle and communicated to current and future project participants. The system would be helpful for them to take proactive measures for reducing variation orders. Hence, the study is valuable for all professionals involved with building projects.
HJRS - W Category, Scopus, Web of Science - Social Sciences Citation Index (SSCI), Web of Science - Science Citation Index Expanded (SCI)
Journal Quality Ranking
Impact Factor: 3.531
Arain, F. M., & Pheng, L. (2007). Modeling for management of variations in building projects. Engineering, Construction and Architectural Management, 14 (5), 420-433. Retrieved from https://ir.iba.edu.pk/faculty-research-articles/148