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المؤلفNaji, Khalid
المؤلفGunduz, Murat
المؤلفSalat, Fatema
تاريخ الإتاحة2023-12-05T10:28:40Z
تاريخ النشر2021
اسم المنشورEngineering, Construction and Architectural Management
المصدرScopus
الرقم المعياري الدولي للكتاب9699988
معرّف المصادر الموحدhttp://dx.doi.org/10.1108/ECAM-05-2020-0333
معرّف المصادر الموحدhttp://hdl.handle.net/10576/50102
الملخصPurpose: The construction sector has a global reach, and construction professionals worldwide often encounter challenges in delivering a project on time and within the assigned budget. Hence, this paper aims to investigate the preproject factors that most affect the performance of construction projects. Design/methodology/approach: A literature review was conducted to identify these factors from previous research, after which a questionnaire was developed and distributed to construction industry professionals worldwide. The response data were collected and analyzed using several methods, including Cronbach's alpha, Relative Importance Index (RII), Kruskal-Wallis test, and Spearman's and Pearson correlations. Findings: The results highlight four categories of significance, namely design, stakeholder, engineering, and procurement, with 31 factors being assigned to these categories. The relationships between each factor based on the categories established in the survey are then presented. With the help of data analysis, focusing on these significant preproject factors will help management teams to evaluate and improve the preconstruction process to achieve a higher project success rate. Originality/value: This study differs from other studies in the literature by gathering all relevant preconstruction success factors by an extensive literature review. Finally, highly ranked factors are studied in detail for a better understanding of the impact of preconstruction factors on project performance. This study is supported by powerful tests such as Kruskal-Wallis test and Spearman's correlation to study the perception of different groups on preconstruction factors. Furthermore, the data analysis will help in identifying and avoiding the failure part of the previous projects and will improve the planning and/or forecasting of the new projects.
راعي المشروعData availability: All data, models, and code generated or used during the study are available from the corresponding author by request.
اللغةen
الناشرEmerald Group Holdings Ltd.
الموضوعConstruction project management
Key performance indicators
Preconstruction
Productivity
Project planning and budgeting
Project success factors
Relative importance index
Risk assessment
Risk management
Sustainability
العنوانAssessment of preconstruction factors in sustainable project management performance
النوعArticle
الصفحات3060-3077
رقم العدد10
رقم المجلد28
dc.accessType Abstract Only


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