Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach

Estimation of cost for building and civil engineering projects with minimum error at the conceptual stage of project development is crucial for planning. This paper evaluated the most significant cost escalation causing factors in building and civil engineering projects. Questionnaires were administ...

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Main Authors: Muhammad, N. Z., Keyvanfar, A., Majid, M. Z. A., Shafaghat, A., Magana, A. M., Lawan, H., Balubaid, S.
Format: Article
Language:English
Published: Penerbit UTM Press 2015
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Online Access:http://eprints.utm.my/id/eprint/57904/1/AliKeyvanfar2015_AssessmentofCostEscalationFactors.pdf
http://eprints.utm.my/id/eprint/57904/
http://dx.doi.org/ 10.11113/jt.v74.4614
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spelling my.utm.579042021-10-28T07:37:35Z http://eprints.utm.my/id/eprint/57904/ Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach Muhammad, N. Z. Keyvanfar, A. Majid, M. Z. A. Shafaghat, A. Magana, A. M. Lawan, H. Balubaid, S. TA Engineering (General). Civil engineering (General) Estimation of cost for building and civil engineering projects with minimum error at the conceptual stage of project development is crucial for planning. This paper evaluated the most significant cost escalation causing factors in building and civil engineering projects. Questionnaires were administered to clients, consultants and contractors to elicit information regarding their opinions with regard to these factors. Mean score value for each factor was determined. Also level of agreement of ranking of such factors between groups was investigated. The results of the analysis show that the most significant causes were the “Fluctuation of price of material” and “Variations” with the highest mean score values of 3.9 and 3.73 respectively. Also there was agreement in the opinions between all the groups with regard to these factors. A linear multiple regression models for the prediction of final cost of construction of building and civil engineering projects were developed using Statistical Package for Social Sciences (SPSS). Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/57904/1/AliKeyvanfar2015_AssessmentofCostEscalationFactors.pdf Muhammad, N. Z. and Keyvanfar, A. and Majid, M. Z. A. and Shafaghat, A. and Magana, A. M. and Lawan, H. and Balubaid, S. (2015) Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach. Jurnal Teknologi, 74 (4). pp. 85-91. ISSN 0127-9696 http://dx.doi.org/ 10.11113/jt.v74.4614 DOI: 10.11113/jt.v74.4614
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Muhammad, N. Z.
Keyvanfar, A.
Majid, M. Z. A.
Shafaghat, A.
Magana, A. M.
Lawan, H.
Balubaid, S.
Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
description Estimation of cost for building and civil engineering projects with minimum error at the conceptual stage of project development is crucial for planning. This paper evaluated the most significant cost escalation causing factors in building and civil engineering projects. Questionnaires were administered to clients, consultants and contractors to elicit information regarding their opinions with regard to these factors. Mean score value for each factor was determined. Also level of agreement of ranking of such factors between groups was investigated. The results of the analysis show that the most significant causes were the “Fluctuation of price of material” and “Variations” with the highest mean score values of 3.9 and 3.73 respectively. Also there was agreement in the opinions between all the groups with regard to these factors. A linear multiple regression models for the prediction of final cost of construction of building and civil engineering projects were developed using Statistical Package for Social Sciences (SPSS).
format Article
author Muhammad, N. Z.
Keyvanfar, A.
Majid, M. Z. A.
Shafaghat, A.
Magana, A. M.
Lawan, H.
Balubaid, S.
author_facet Muhammad, N. Z.
Keyvanfar, A.
Majid, M. Z. A.
Shafaghat, A.
Magana, A. M.
Lawan, H.
Balubaid, S.
author_sort Muhammad, N. Z.
title Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
title_short Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
title_full Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
title_fullStr Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
title_full_unstemmed Assessment of cost escalation factors for building and civil engineering projects in Nigerian construction industry: A multiple regression approach
title_sort assessment of cost escalation factors for building and civil engineering projects in nigerian construction industry: a multiple regression approach
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/57904/1/AliKeyvanfar2015_AssessmentofCostEscalationFactors.pdf
http://eprints.utm.my/id/eprint/57904/
http://dx.doi.org/ 10.11113/jt.v74.4614
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score 13.211869