Critical assessment of construction contract administration using fuzzy structural equation modeling
<h3>Purpose</h3><p dir="ltr">This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract admi...
محفوظ في:
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| مؤلفون آخرون: | |
| منشور في: |
2020
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إضافة وسم
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| _version_ | 1864513554903728128 |
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| author | Murat Gunduz (16875960) |
| author2 | Hesham Ahmed Elsherbeny (18111892) |
| author2_role | author |
| author_facet | Murat Gunduz (16875960) Hesham Ahmed Elsherbeny (18111892) |
| author_role | author |
| dc.creator.none.fl_str_mv | Murat Gunduz (16875960) Hesham Ahmed Elsherbeny (18111892) |
| dc.date.none.fl_str_mv | 2020-05-04T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1108/ecam-05-2019-0246 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Critical_assessment_of_construction_contract_administration_using_fuzzy_structural_equation_modeling/27824553 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Strategy, management and organisational behaviour Mathematical sciences Applied mathematics Fuzzy set Structural equation model Contract administration Contract project management Contract project success factor Contract risk assessment |
| dc.title.none.fl_str_mv | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Purpose</h3><p dir="ltr">This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.</p><h3>Design/methodology/approach</h3><p dir="ltr">The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.</p><h3>Findings</h3><p dir="ltr">The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.</p><h3>Originality/value</h3><p dir="ltr">The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management</p><h2>Other Information</h2><p dir="ltr">Published in: Engineering, Construction and Architectural Management<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1108/ecam-05-2019-0246" target="_blank">https://dx.doi.org/10.1108/ecam-05-2019-0246</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9fe1c97ffb40b57a7380f7b7dd9aa357 |
| identifier_str_mv | 10.1108/ecam-05-2019-0246 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/27824553 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Critical assessment of construction contract administration using fuzzy structural equation modelingMurat Gunduz (16875960)Hesham Ahmed Elsherbeny (18111892)Commerce, management, tourism and servicesStrategy, management and organisational behaviourMathematical sciencesApplied mathematicsFuzzy setStructural equation modelContract administrationContract project managementContract project success factorContract risk assessment<h3>Purpose</h3><p dir="ltr">This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.</p><h3>Design/methodology/approach</h3><p dir="ltr">The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.</p><h3>Findings</h3><p dir="ltr">The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.</p><h3>Originality/value</h3><p dir="ltr">The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management</p><h2>Other Information</h2><p dir="ltr">Published in: Engineering, Construction and Architectural Management<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1108/ecam-05-2019-0246" target="_blank">https://dx.doi.org/10.1108/ecam-05-2019-0246</a></p>2020-05-04T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1108/ecam-05-2019-0246https://figshare.com/articles/journal_contribution/Critical_assessment_of_construction_contract_administration_using_fuzzy_structural_equation_modeling/27824553CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/278245532020-05-04T03:00:00Z |
| spellingShingle | Critical assessment of construction contract administration using fuzzy structural equation modeling Murat Gunduz (16875960) Commerce, management, tourism and services Strategy, management and organisational behaviour Mathematical sciences Applied mathematics Fuzzy set Structural equation model Contract administration Contract project management Contract project success factor Contract risk assessment |
| status_str | publishedVersion |
| title | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| title_full | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| title_fullStr | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| title_full_unstemmed | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| title_short | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| title_sort | Critical assessment of construction contract administration using fuzzy structural equation modeling |
| topic | Commerce, management, tourism and services Strategy, management and organisational behaviour Mathematical sciences Applied mathematics Fuzzy set Structural equation model Contract administration Contract project management Contract project success factor Contract risk assessment |