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      Barriers to the adoption of value management in developing countries

      , ,
      Engineering, Construction and Architectural Management
      Emerald

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          Abstract

          Purpose

          The purpose of this paper is to determine the barriers to the adoption of value management (VM) in the construction industry of developing countries with a view to providing possible measures in avoiding these barriers and increasing the usage of the system within the construction industry.

          Design/methodology/approach

          The level of knowledge and adoption of VM practices, as well as the barriers to its adoption in the construction industry were assessed through a survey design. Construction professionals were sampled from the six geo-political zones in Nigeria through the use of a structured questionnaire. Factor analysis was conducted on data gathered on the barriers of VM.

          Findings

          The study revealed a moderate level of knowledge of VM among construction professionals. This implies that the problem of VM is not that of awareness, but readiness to adopt the system. The study also reveals that the barriers to the adoption of VM can be categorised under the general stakeholder’s barriers, training and education barriers, client barriers and government/top management barriers.

          Practical implications

          This study was conducted across the six geo-political zones of the country as against common practice of selecting a particular region or states to represent the entire country. The findings therefore show a true reflection of the barriers to VM adoption in the country and its recommendations can to a large extent promote the adoption of VM in the country and also other developing countries where construction projects are executed through similar method, style and approach.

          Originality/value

          This paper highlights the possible barriers to the adoption of VM in Nigeria construction industry and provides ways to avoiding these barriers in order to achieve better quality construction and value for money.

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          Most cited references41

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          Is Open Access

          Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

          Statistical errors are common in scientific literature and about 50% of the published articles have at least one error. The assumption of normality needs to be checked for many statistical procedures, namely parametric tests, because their validity depends on it. The aim of this commentary is to overview checking for normality in statistical analysis using SPSS.
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            Multivariate Data Analysis

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              Analysis of factors influencing project cost estimating practice

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Engineering, Construction and Architectural Management
                ECAM
                Emerald
                0969-9988
                August 10 2018
                August 10 2018
                August 10 2018
                August 10 2018
                : 25
                : 7
                : 818-834
                Article
                10.1108/ECAM-04-2017-0070
                7d303578-7300-4a95-8317-0ecf05c342b9
                © 2018

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