Contractor management performance evaluation model at prequalification stage
•We evaluate the contractor management capability at the prequalification stage.•The evaluation model is based on the management practices.•ANP was used to evaluate the multidirectional relationship among decision elements.•The technicality and feasibility of the model was validated.•The model enhan...
Gespeichert in:
Veröffentlicht in: | Expert systems with applications 2015-07, Vol.42 (12), p.5087-5101 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 5101 |
---|---|
container_issue | 12 |
container_start_page | 5087 |
container_title | Expert systems with applications |
container_volume | 42 |
creator | Rashvand, Pooria Majid, Muhd Zaimi Abd Pinto, Jeffrey K. |
description | •We evaluate the contractor management capability at the prequalification stage.•The evaluation model is based on the management practices.•ANP was used to evaluate the multidirectional relationship among decision elements.•The technicality and feasibility of the model was validated.•The model enhances the decision support tools for clients.
The client’s choice of contractor at the project prequalification stage is critical as the selected contractor is responsible for the overall coordination of a project. Although a wide variety of criteria have been employed to develop models for contractor selection, one critical component of their capability – management performance – has historically been among the least addressed but, we argue, most critical elements in a useful selection model. Even in the cases when management performance is considered, it has typically focused only on objective outcome criteria of limited predictive power, such as contractor time and cost performance. This paper reports on the results of a study to develop a comprehensive contractor evaluation model that directly addresses the contractor management capabilities and practices as a critical additional element at the prequalification stage. Using a multi-step research process, including extensive literature review, analysis and synthesis of critical contractor management performance factors, development of an analytic network project (ANP) model, and subsequent case study and field validation, we identified a robust model that enhances the decision support tools for the client organization by creating databases for comparing multiple contractors with respect to management practices. In addition, the evaluation of this prequalification criterion permits the contractors to focus on their efforts to address the critical management practices to improve their project performance. |
doi_str_mv | 10.1016/j.eswa.2015.02.043 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1825457793</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0957417415001505</els_id><sourcerecordid>1825457793</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-b21f27fa7130d95cb9308c05ae24e26db14e1956843cfcac91a7a3d4080a26393</originalsourceid><addsrcrecordid>eNp9kE1Lw0AQhhdRsFb_gKccvSTOfiSbgBcpfkHBi56X6WYiW5Jsu5tU_PduqWdPA_O-z8A8jN1yKDjw6n5bUPzGQgAvCxAFKHnGFrzWMq90I8_ZAppS54prdcmuYtwCcA2gF2y98uMU0E4-ZAOO-EUDjVO2o9D5kBaWMjpgP-Pk_JgNvqU-w5QH2s_Yu87ZUxKnhF6ziw77SDd_c8k-n58-Vq_5-v3lbfW4zq0COeUbwTuhO9RcQtuUdtNIqC2USEKRqNoNV8SbsqqVtJ1F23DUKFsFNaCoZCOX7O50dxf8fqY4mcFFS32PI_k5Gl6LUpU6fZ6q4lS1wccYqDO74AYMP4aDOaozW3NUZ47qDAiT1CXo4QRReuLgKJhoHSUXrQtkJ9N69x_-C2HkeJM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1825457793</pqid></control><display><type>article</type><title>Contractor management performance evaluation model at prequalification stage</title><source>Elsevier ScienceDirect Journals</source><creator>Rashvand, Pooria ; Majid, Muhd Zaimi Abd ; Pinto, Jeffrey K.</creator><creatorcontrib>Rashvand, Pooria ; Majid, Muhd Zaimi Abd ; Pinto, Jeffrey K.</creatorcontrib><description>•We evaluate the contractor management capability at the prequalification stage.•The evaluation model is based on the management practices.•ANP was used to evaluate the multidirectional relationship among decision elements.•The technicality and feasibility of the model was validated.•The model enhances the decision support tools for clients.
The client’s choice of contractor at the project prequalification stage is critical as the selected contractor is responsible for the overall coordination of a project. Although a wide variety of criteria have been employed to develop models for contractor selection, one critical component of their capability – management performance – has historically been among the least addressed but, we argue, most critical elements in a useful selection model. Even in the cases when management performance is considered, it has typically focused only on objective outcome criteria of limited predictive power, such as contractor time and cost performance. This paper reports on the results of a study to develop a comprehensive contractor evaluation model that directly addresses the contractor management capabilities and practices as a critical additional element at the prequalification stage. Using a multi-step research process, including extensive literature review, analysis and synthesis of critical contractor management performance factors, development of an analytic network project (ANP) model, and subsequent case study and field validation, we identified a robust model that enhances the decision support tools for the client organization by creating databases for comparing multiple contractors with respect to management practices. In addition, the evaluation of this prequalification criterion permits the contractors to focus on their efforts to address the critical management practices to improve their project performance.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2015.02.043</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>ANP ; Contractor selection ; Contractors ; Criteria ; Decision making system ; Decision support systems ; Expert systems ; Literature reviews ; Management ; Mathematical analysis ; Mathematical models ; MATLAB simulation ; Performance evaluation</subject><ispartof>Expert systems with applications, 2015-07, Vol.42 (12), p.5087-5101</ispartof><rights>2015 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-b21f27fa7130d95cb9308c05ae24e26db14e1956843cfcac91a7a3d4080a26393</citedby><cites>FETCH-LOGICAL-c403t-b21f27fa7130d95cb9308c05ae24e26db14e1956843cfcac91a7a3d4080a26393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0957417415001505$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Rashvand, Pooria</creatorcontrib><creatorcontrib>Majid, Muhd Zaimi Abd</creatorcontrib><creatorcontrib>Pinto, Jeffrey K.</creatorcontrib><title>Contractor management performance evaluation model at prequalification stage</title><title>Expert systems with applications</title><description>•We evaluate the contractor management capability at the prequalification stage.•The evaluation model is based on the management practices.•ANP was used to evaluate the multidirectional relationship among decision elements.•The technicality and feasibility of the model was validated.•The model enhances the decision support tools for clients.
The client’s choice of contractor at the project prequalification stage is critical as the selected contractor is responsible for the overall coordination of a project. Although a wide variety of criteria have been employed to develop models for contractor selection, one critical component of their capability – management performance – has historically been among the least addressed but, we argue, most critical elements in a useful selection model. Even in the cases when management performance is considered, it has typically focused only on objective outcome criteria of limited predictive power, such as contractor time and cost performance. This paper reports on the results of a study to develop a comprehensive contractor evaluation model that directly addresses the contractor management capabilities and practices as a critical additional element at the prequalification stage. Using a multi-step research process, including extensive literature review, analysis and synthesis of critical contractor management performance factors, development of an analytic network project (ANP) model, and subsequent case study and field validation, we identified a robust model that enhances the decision support tools for the client organization by creating databases for comparing multiple contractors with respect to management practices. In addition, the evaluation of this prequalification criterion permits the contractors to focus on their efforts to address the critical management practices to improve their project performance.</description><subject>ANP</subject><subject>Contractor selection</subject><subject>Contractors</subject><subject>Criteria</subject><subject>Decision making system</subject><subject>Decision support systems</subject><subject>Expert systems</subject><subject>Literature reviews</subject><subject>Management</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>MATLAB simulation</subject><subject>Performance evaluation</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhhdRsFb_gKccvSTOfiSbgBcpfkHBi56X6WYiW5Jsu5tU_PduqWdPA_O-z8A8jN1yKDjw6n5bUPzGQgAvCxAFKHnGFrzWMq90I8_ZAppS54prdcmuYtwCcA2gF2y98uMU0E4-ZAOO-EUDjVO2o9D5kBaWMjpgP-Pk_JgNvqU-w5QH2s_Yu87ZUxKnhF6ziw77SDd_c8k-n58-Vq_5-v3lbfW4zq0COeUbwTuhO9RcQtuUdtNIqC2USEKRqNoNV8SbsqqVtJ1F23DUKFsFNaCoZCOX7O50dxf8fqY4mcFFS32PI_k5Gl6LUpU6fZ6q4lS1wccYqDO74AYMP4aDOaozW3NUZ47qDAiT1CXo4QRReuLgKJhoHSUXrQtkJ9N69x_-C2HkeJM</recordid><startdate>20150715</startdate><enddate>20150715</enddate><creator>Rashvand, Pooria</creator><creator>Majid, Muhd Zaimi Abd</creator><creator>Pinto, Jeffrey K.</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150715</creationdate><title>Contractor management performance evaluation model at prequalification stage</title><author>Rashvand, Pooria ; Majid, Muhd Zaimi Abd ; Pinto, Jeffrey K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-b21f27fa7130d95cb9308c05ae24e26db14e1956843cfcac91a7a3d4080a26393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>ANP</topic><topic>Contractor selection</topic><topic>Contractors</topic><topic>Criteria</topic><topic>Decision making system</topic><topic>Decision support systems</topic><topic>Expert systems</topic><topic>Literature reviews</topic><topic>Management</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>MATLAB simulation</topic><topic>Performance evaluation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rashvand, Pooria</creatorcontrib><creatorcontrib>Majid, Muhd Zaimi Abd</creatorcontrib><creatorcontrib>Pinto, Jeffrey K.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rashvand, Pooria</au><au>Majid, Muhd Zaimi Abd</au><au>Pinto, Jeffrey K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Contractor management performance evaluation model at prequalification stage</atitle><jtitle>Expert systems with applications</jtitle><date>2015-07-15</date><risdate>2015</risdate><volume>42</volume><issue>12</issue><spage>5087</spage><epage>5101</epage><pages>5087-5101</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>•We evaluate the contractor management capability at the prequalification stage.•The evaluation model is based on the management practices.•ANP was used to evaluate the multidirectional relationship among decision elements.•The technicality and feasibility of the model was validated.•The model enhances the decision support tools for clients.
The client’s choice of contractor at the project prequalification stage is critical as the selected contractor is responsible for the overall coordination of a project. Although a wide variety of criteria have been employed to develop models for contractor selection, one critical component of their capability – management performance – has historically been among the least addressed but, we argue, most critical elements in a useful selection model. Even in the cases when management performance is considered, it has typically focused only on objective outcome criteria of limited predictive power, such as contractor time and cost performance. This paper reports on the results of a study to develop a comprehensive contractor evaluation model that directly addresses the contractor management capabilities and practices as a critical additional element at the prequalification stage. Using a multi-step research process, including extensive literature review, analysis and synthesis of critical contractor management performance factors, development of an analytic network project (ANP) model, and subsequent case study and field validation, we identified a robust model that enhances the decision support tools for the client organization by creating databases for comparing multiple contractors with respect to management practices. In addition, the evaluation of this prequalification criterion permits the contractors to focus on their efforts to address the critical management practices to improve their project performance.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2015.02.043</doi><tpages>15</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0957-4174 |
ispartof | Expert systems with applications, 2015-07, Vol.42 (12), p.5087-5101 |
issn | 0957-4174 1873-6793 |
language | eng |
recordid | cdi_proquest_miscellaneous_1825457793 |
source | Elsevier ScienceDirect Journals |
subjects | ANP Contractor selection Contractors Criteria Decision making system Decision support systems Expert systems Literature reviews Management Mathematical analysis Mathematical models MATLAB simulation Performance evaluation |
title | Contractor management performance evaluation model at prequalification stage |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T04%3A11%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Contractor%20management%20performance%20evaluation%20model%20at%20prequalification%20stage&rft.jtitle=Expert%20systems%20with%20applications&rft.au=Rashvand,%20Pooria&rft.date=2015-07-15&rft.volume=42&rft.issue=12&rft.spage=5087&rft.epage=5101&rft.pages=5087-5101&rft.issn=0957-4174&rft.eissn=1873-6793&rft_id=info:doi/10.1016/j.eswa.2015.02.043&rft_dat=%3Cproquest_cross%3E1825457793%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1825457793&rft_id=info:pmid/&rft_els_id=S0957417415001505&rfr_iscdi=true |