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...

Full description

Saved in:
Bibliographic Details
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:
Online Access:http://umpir.ump.edu.my/id/eprint/22605/1/Organizational%20Factors%2C%20Construction%20Risk%20Management%20and%20Government.pdf
http://umpir.ump.edu.my/id/eprint/22605/
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
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.22605
record_format eprints
spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/22605/1/Organizational%20Factors%2C%20Construction%20Risk%20Management%20and%20Government.pdf
http://umpir.ump.edu.my/id/eprint/22605/
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
_version_ 1643669427148816384
score 13.154949