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1.
Data Brief ; 20: 1745-1748, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30276227

ABSTRACT

This article describes the data associated with the research paper entitled "Subjective life satisfaction in public housing in urban areas of Ogun State" by Ibem and Amole (2013). A multistage sampling technique and questionnaire were used to extract data from occupants in 517 dwelling units in ten selected government mass housing schemes located in five urban centers in Ogun State, Nigeria. The dataset has 57 different variables describing households' demographics, dwelling units' features, supply of basic services, and neighbourhood environment in the residential estates. In addition, it also contains variables used to assess residential satisfaction and satisfaction with life. The Statistical Package of the Social Sciences (SPSS) file, descriptive statistics for all the variables and questionnaire used to derive the data are provided in this article. The dataset will enhance understanding of the main research findings and conclusions.

2.
Data Brief ; 18: 823-826, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29900244

ABSTRACT

This article is a description of data related to the research article entitled "Factors influencing e-Procurement adoption in the Nigerian Building Industry" (Ibem et al., 2016) [1]. The data were derived via a questionnaire survey involving 213 participants comprising architects, quantity surveyors, builders, construction/project managers, and engineers working in consulting and contracting firms, private client organisations and government agencies. The survey was conducted in Nigeria between June and November 2015. The data set contains responses on the levels of awareness and extent of use of the different e-Procurement technologies, the barriers to the uptake as well as the factors influencing e-Procurement adoption by organizations in the Nigerian building industry. The survey data and results of the analysis are made available in this article for further use by researchers; and for the purpose of improving understanding of the key findings of the survey.

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