A multi-criteria evaluation and stationary analysis of value management implementation barriers for sustainable residential building projects

Ahmed Farouk Kineber, Ali Hassan Ali, Nehal Elshaboury, Ayodeji Emmanuel Oke, Mehrdad Arashpour

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

Over the past 20 years, value management (VM) has become a well-established technique, while in underdeveloped countries; informal methods are used for VM-related activities. This study aims to examine the barriers to VM deployment. These barriers are categorized into environment and culture, workshop dynamics, knowledge and stakeholders and standardization. A review of prior research is conducted to identify these barriers, which are further categorized through a semi-structured interview. The significance of these barriers is determined through 335 structured surveys with building specialists. The four categories of barriers are then assessed using fuzzy synthetic evaluation and weighted aggregated sum product assessment—technique for order of preference by similarity to ideal solution methods. In addition, a stationary method is used to evaluate the incorporation of VM barriers into residential projects. According to the findings, the most significant category of barriers that hinder the widespread use of VM is knowledge and stakeholders. Among these categories, the most influential barriers that constrain the VM implementation are workshop decision-maker participation issues. This research provides a roadmap for effective VM adoption in developing countries by helping stakeholders in the residential building industry understand VM barriers and leverage them to enhance the value of their projects.

Original languageEnglish
Pages (from-to)199-212
Number of pages14
JournalInternational Journal of Construction Management
Volume24
Issue number2
DOIs
Publication statusPublished - 8 Jan 2024

Keywords

  • implementation barriers
  • Multi-Criteria evaluation
  • residential building projects
  • stationary analysis
  • Value management

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