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      Factors affecting BIM implementation: evidence from countries with different income levels

      , , , , , ,
      Construction Innovation
      Emerald

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          Abstract

          Purpose

          This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries with different income levels. To achieve that aim, the study objectives are to identify: critical factors affecting BIM implementation in low-, lower-middle-, upper-middle- and high-income countries; overlapping critical factors between countries with different income levels; and agreements on the critical factors between countries with different income levels.

          Design/methodology/approach

          This study identified potential BIM implementation factors using a systematic literature review and semi-structured interviews with architectural, engineering and construction (AEC) professionals. Then, the factors were inserted into a questionnaire survey and sent to AEC professionals in Afghanistan, India, Malaysia and Saudi Arabia. The collected data was analyzed using the following techniques and tests: mean, standard deviation, normalized value, Kruskal–Wallis, Dunn and Mann–Whitney.

          Findings

          Five critical factors overlap between all countries: “availability of guidelines for implementing BIM,” “cost-benefit of implementing BIM,” “stakeholders’ willingness to learn the BIM method,” “consistent views on BIM between stakeholders” and “existence of standard contracts on liability and risk allocation.” Also, the criticality of the factors often differs between income levels, especially between low- and high-income countries, suggesting a significant gap between low- and high-income countries in BIM implementation.

          Originality/value

          This study differs from prior works by empirically analyzing the symmetries and asymmetries in BIM implementation factors between countries with different income levels (i.e. low-, lower-middle-, upper-middle- and high-income countries).

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          Most cited references90

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Is Open Access

            InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams

            Background Set comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited. Results We have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains. Conclusions InteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.
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              Building information modelling framework: A research and delivery foundation for industry stakeholders

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                Author and article information

                Journal
                Construction Innovation
                CI
                Emerald
                1471-4175
                1471-4175
                April 26 2022
                April 14 2023
                April 26 2022
                April 14 2023
                : 23
                : 3
                : 683-710
                Article
                10.1108/CI-11-2021-0217
                f531929c-f561-4919-8e01-9fe21b5d32a1
                © 2023

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