Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary 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 operating...

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Main Authors:	Adeleke, A. Q., Windapo, Abimbola Olukemi, Bamgbaded, J. A., Salimon, Maruf Gbadebo, Afolabi, Yakibi Ayodele
Format:	Article
Language:	English
Published:	Penerbit Universiti Malaysia Pahang 2018
Subjects:	HD Industries. Land use. Labor
Online Access:	http://umpir.ump.edu.my/id/eprint/22605/ http://umpir.ump.edu.my/id/eprint/22605/ http://umpir.ump.edu.my/id/eprint/22605/1/Organizational%20Factors%2C%20Construction%20Risk%20Management%20and%20Government.pdf

id	ump-22605
recordtype	eprints
spelling	ump-226052018-11-12T03:26:16Z http://umpir.ump.edu.my/id/eprint/22605/ Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis Adeleke, A. Q. Windapo, Abimbola Olukemi Bamgbaded, J. A. Salimon, Maruf Gbadebo Afolabi, Yakibi Ayodele HD Industries. Land use. Labor 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 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. Penerbit Universiti Malaysia Pahang 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22605/1/Organizational%20Factors%2C%20Construction%20Risk%20Management%20and%20Government.pdf Adeleke, A. Q. and Windapo, Abimbola Olukemi and Bamgbaded, J. A. and Salimon, Maruf Gbadebo and Afolabi, Yakibi Ayodele (2018) Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis. Journal of Governance & Integrity, 1 (2). pp. 135-149. ISSN 2600-7479 http://jgi.ump.edu.my/index.php/en/current-issue/71-organizational-factors-construction-risk-management-and-government-regulations-in-nigerian-construction-companies-data-screening-and-premilinary-analysis/file
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	HD Industries. Land use. Labor
spellingShingle	HD Industries. Land use. Labor Adeleke, A. Q. Windapo, Abimbola Olukemi Bamgbaded, J. A. Salimon, Maruf Gbadebo Afolabi, Yakibi Ayodele Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary 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 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	Article
author	Adeleke, A. Q. Windapo, Abimbola Olukemi Bamgbaded, J. A. Salimon, Maruf Gbadebo Afolabi, Yakibi Ayodele
author_facet	Adeleke, A. Q. Windapo, Abimbola Olukemi Bamgbaded, J. A. Salimon, Maruf Gbadebo Afolabi, Yakibi Ayodele
author_sort	Adeleke, A. Q.
title	Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis
title_short	Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis
title_full	Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis
title_fullStr	Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis
title_full_unstemmed	Organizational Factors, Construction Risk Management and Government Regulations in Nigerian Construction Companies: Data Screening and Preliminary Analysis
title_sort	organizational factors, construction risk management and government regulations in nigerian construction companies: data screening and preliminary analysis
publisher	Penerbit Universiti Malaysia Pahang
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22605/ http://umpir.ump.edu.my/id/eprint/22605/ http://umpir.ump.edu.my/id/eprint/22605/1/Organizational%20Factors%2C%20Construction%20Risk%20Management%20and%20Government.pdf
first_indexed	2023-09-18T22:33:45Z
last_indexed	2023-09-18T22:33:45Z
_version_	1777416457988079616

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

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