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The adoption of value management (VM) has been on the rise in the construction industry, especially in the past decade. Identifying the main barriers to VM application for ameliorating poor project outcomes in the construction industry is a critical step to overcoming its implementation. Therefore, this study aims to examine the barriers to the adoption of VM in the Nigerian construction industry (NCI) and identify the critical ones for action by construction stakeholders.

This study used two rounds of Delphi surveys with 15 VM experts to identify the challenges to VM adoption. The Delphi team’s data from the two surveys were analysed using descriptive statistics. The mean-mode approach was used to identify ten major barriers to VM adoption based on the consensus reached during the second round of the Delphi poll. Following that, an interrater agreement analysis and a significant level analysis were performed.

Of the 17 identified barriers hindering VM adoption on construction projects in the NCI, 10 were found to be profound after statistical analyses of the data. The significant barriers include communication gap between the client and other consultants; delay in design preparation because of VM services; the pretext that VM is being practiced in the construction industry; and the wrong perception of VM by construction professionals, among others. The findings of the analysis suggested that the lack of VM adoption in the NCI was because of inadequate knowledge of VM techniques among construction professionals. Therefore, it is advised that VM training be provided for concerned stakeholders to address the lack of VM expertise among Nigerian construction professionals.

This study investigated the barriers to VM adoption on construction projects in the NCI with the opinions of a few construction professionals who can be regarded as VM experts. As against obtaining large survey responses from construction professionals who may not be knowledgeable in the VM process, the limited VM experts’ responses provide a valid basis for drawing inferences and making recommendations to address the paucity of VM applications in the NCI.

Through a Delphi survey, the critical barriers to the adoption of VM were identified, along with recommendations to help construction stakeholders overcome the challenges and enjoy the benefits of VM.

Micro, small and medium-sized enterprises are the live wire of construction industry in developing countries. These classes of establishments are most affected by economic contraction and turmoil, thus affecting their performance and survivability. Hence, the purpose of this study is to investigate and prioritize the survival determinants of construction consulting organization during economic contraction in Nigeria using quantity surveying firms as a focal point.

The study adopted the descriptive-survey design and quantitative data were collected through questionnaire purposely administered to quantity surveying firms in the Southwestern part of Nigeria. The data obtained from 99 quantity surveying firms on survival determinants were analysed using various statistical analysis such as mean score, standard deviation, Mann–Whitney U test, Kruskal–Wallis H test, and so on. Principal component analysis was used to identify the principal components of survival determinants, while the factors were prioritized using fuzzy synthetic evaluation (FSE).

The result of the analysis reveals eight factors that significantly determines the survival of firms during the period of economic contraction. Furthermore, the eight grouped factors were prioritized accordingly namely firm's innovation and diversification, ownership structure and networking, education level and management skills, and so on.

This study investigated the survival determinants of quantity surveying firms and prioritized it with the opinions of principal partners in quantity surveying establishments. As against obtaining large survey responses from all quantity surveyors in the study area that may not have practical experience of managing firms, the limited responses received provide valid basis to broaden the horizon of professionals and other stakeholders on the key determinants for firms to survive economic turmoil.

This study contributes to the body of knowledge by providing information on prioritized factors that must be considered in an appropriate order by quantity surveying firms to survive economic contraction.