Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis

Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis

The aim of this paper is to investigate the accumulated data pertaining to the organizational factors, construction risk management and government regulations in Nigerian construction companies. A total sample of 238 were selected from the total population of 338 contractors (i.e., contract manager,...

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Main Authors: Adeleke, A. Q., A. Y., Bahaudin, AM., Kamaruddeen, Nawanir, Gusman, Akindoyo, D. O.
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2017
Subjects:
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/17625/
http://umpir.ump.edu.my/id/eprint/17625/
http://umpir.ump.edu.my/id/eprint/17625/1/22.%20Organizational%20factors%2C%20construction%20risk%20management%20and%20government%20regulations%20in%20nigerian%20construction%20companies%20%20-%20%20data%20screening%20and%20premilinary%20analysis.pdf
id ump-17625
recordtype eprints
spelling ump-176252018-09-27T08:21:52Z http://umpir.ump.edu.my/id/eprint/17625/ Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis Adeleke, A. Q. A. Y., Bahaudin AM., Kamaruddeen Nawanir, Gusman Akindoyo, D. O. HD28 Management. Industrial Management The aim of this paper is to investigate the accumulated data pertaining to the organizational factors, construction risk management and government regulations in Nigerian construction companies. A total sample of 238 were selected from the total population of 338 contractors (i.e., contract manager, executive director, marketing manager, project manager and engineers) operating in Abuja and Lagos State construction companies in Nigeria. Therefore, a proportionate stratified random sampling approach was employed for this study to further divide the companies into different strata, and they were all picked randomly from each stratum. Furthermore, data cleaning and screening were conducted with the intent to fulfil the multivariate analysis assumptions. Hence, this study carried out various tests like missing data analysis, outliers, normality, Multicollinearity, non-response bias and common method variance with the use of Statistical Package for Social Science (SPSS) v21. Lastly, it was discovered that the data fulfil all the requirements for multivariate analysis. Universiti Malaysia Pahang 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17625/1/22.%20Organizational%20factors%2C%20construction%20risk%20management%20and%20government%20regulations%20in%20nigerian%20construction%20companies%20%20-%20%20data%20screening%20and%20premilinary%20analysis.pdf Adeleke, A. Q. and A. Y., Bahaudin and AM., Kamaruddeen and Nawanir, Gusman and Akindoyo, D. O. (2017) Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis. In: Proceedings of the FGIC 1st Conference on Governance & Integrity, 3-4 April 2017 , Yayasan Pahang, Kuantan, Malaysia. pp. 396-409.. ISBN 978-967-2054-37-5 http://fgic.ump.edu.my/images/docman/1st-FGIC-Proceedings.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Adeleke, A. Q.
A. Y., Bahaudin
AM., Kamaruddeen
Nawanir, Gusman
Akindoyo, D. O.
Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
description The aim of this paper is to investigate the accumulated data pertaining to the organizational factors, construction risk management and government regulations in Nigerian construction companies. A total sample of 238 were selected from the total population of 338 contractors (i.e., contract manager, executive director, marketing manager, project manager and engineers) operating in Abuja and Lagos State construction companies in Nigeria. Therefore, a proportionate stratified random sampling approach was employed for this study to further divide the companies into different strata, and they were all picked randomly from each stratum. Furthermore, data cleaning and screening were conducted with the intent to fulfil the multivariate analysis assumptions. Hence, this study carried out various tests like missing data analysis, outliers, normality, Multicollinearity, non-response bias and common method variance with the use of Statistical Package for Social Science (SPSS) v21. Lastly, it was discovered that the data fulfil all the requirements for multivariate analysis.
format Conference or Workshop Item
author Adeleke, A. Q.
A. Y., Bahaudin
AM., Kamaruddeen
Nawanir, Gusman
Akindoyo, D. O.
author_facet Adeleke, A. Q.
A. Y., Bahaudin
AM., Kamaruddeen
Nawanir, Gusman
Akindoyo, D. O.
author_sort Adeleke, A. Q.
title Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
title_short Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
title_full Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
title_fullStr Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
title_full_unstemmed Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Premilinary Analysis
title_sort organizational factors, construction risk management and government regulations in nigerian construction companies: data screening and premilinary analysis
publisher Universiti Malaysia Pahang
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/17625/
http://umpir.ump.edu.my/id/eprint/17625/
http://umpir.ump.edu.my/id/eprint/17625/1/22.%20Organizational%20factors%2C%20construction%20risk%20management%20and%20government%20regulations%20in%20nigerian%20construction%20companies%20%20-%20%20data%20screening%20and%20premilinary%20analysis.pdf
first_indexed 2023-09-18T22:24:27Z
last_indexed 2023-09-18T22:24:27Z
_version_ 1777415873143767040

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