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    Methodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research

    Source: Journal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 009::page 04022080
    Author:
    Bryan Franz
    ,
    Robert Leicht
    ,
    Mounir El Asmar
    ,
    Keith Molenaar
    DOI: 10.1061/(ASCE)CO.1943-7862.0002338
    Publisher: ASCE
    Abstract: The project-based nature of construction means that a unique team of designers, contractors, and specialty trade partners must be assembled for the delivery of each new asset. The decisions around how these parties are procured and contracted can have downstream consequences for the success of those delivered assets, both in the timeliness and cost-effectiveness of the project, as well as in meeting the long-term needs of the client. Over the last 20 years, this Journal has published several studies that statistically compare cost and schedule performance between two or more project delivery systems. New and emerging alternative project delivery systems have recently been included in these studies. However, greater consistency in the data collection, analysis, and reporting practices are needed in the published literature around the topic of project delivery systems to allow for comparisons of studies, identifying trends over time, and understanding this body of knowledge. This article presents a review of the research methods used in 30 empirical papers published in leading construction engineering and management journals that studied the performance of different project delivery systems. These papers serve as a basis to identify successful practices and propose a set of recommendations for more consistent quantitative research in this field. The authors argue that greater consistency in project delivery research is critically needed, proposing a path forward that will assist researchers in conducting more reliable project delivery research for years to come. The paper is structured around three main categories of recommendations: (1) overcoming bias in project delivery data collection, (2) making a fair comparison, and (3) standardizing the presentation of results. In each category, the authors identify successful practices from published papers and make specific recommendations that provide a consistent standard for future studies. The vision of the authors is that the recommendations advanced in this paper, derived from exemplary cases of published work, will start a dialogue in the construction, engineering, and management community about establishing a standard of practice for quantitative project delivery system research. This article can be used as a resource for peer-reviewers and editors evaluating a project delivery study’s readiness for publication, and for faculty and graduate students looking for consistent guidance in conducting project delivery studies.
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      Methodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research

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    contributor authorBryan Franz
    contributor authorRobert Leicht
    contributor authorMounir El Asmar
    contributor authorKeith Molenaar
    date accessioned2022-08-18T12:10:49Z
    date available2022-08-18T12:10:49Z
    date issued2022/06/24
    identifier other%28ASCE%29CO.1943-7862.0002338.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286147
    description abstractThe project-based nature of construction means that a unique team of designers, contractors, and specialty trade partners must be assembled for the delivery of each new asset. The decisions around how these parties are procured and contracted can have downstream consequences for the success of those delivered assets, both in the timeliness and cost-effectiveness of the project, as well as in meeting the long-term needs of the client. Over the last 20 years, this Journal has published several studies that statistically compare cost and schedule performance between two or more project delivery systems. New and emerging alternative project delivery systems have recently been included in these studies. However, greater consistency in the data collection, analysis, and reporting practices are needed in the published literature around the topic of project delivery systems to allow for comparisons of studies, identifying trends over time, and understanding this body of knowledge. This article presents a review of the research methods used in 30 empirical papers published in leading construction engineering and management journals that studied the performance of different project delivery systems. These papers serve as a basis to identify successful practices and propose a set of recommendations for more consistent quantitative research in this field. The authors argue that greater consistency in project delivery research is critically needed, proposing a path forward that will assist researchers in conducting more reliable project delivery research for years to come. The paper is structured around three main categories of recommendations: (1) overcoming bias in project delivery data collection, (2) making a fair comparison, and (3) standardizing the presentation of results. In each category, the authors identify successful practices from published papers and make specific recommendations that provide a consistent standard for future studies. The vision of the authors is that the recommendations advanced in this paper, derived from exemplary cases of published work, will start a dialogue in the construction, engineering, and management community about establishing a standard of practice for quantitative project delivery system research. This article can be used as a resource for peer-reviewers and editors evaluating a project delivery study’s readiness for publication, and for faculty and graduate students looking for consistent guidance in conducting project delivery studies.
    publisherASCE
    titleMethodological Consistency for Quantitative Analysis and Reporting in Project Delivery System Performance Research
    typeJournal Article
    journal volume148
    journal issue9
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0002338
    journal fristpage04022080
    journal lastpage04022080-11
    page11
    treeJournal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 009
    contenttypeFulltext
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