Survey datasets on categories of factors militating against safety practices on construction sites.

The causes of occupational accidents have been classified into unsafe conditions and unsafe behaviour. Interestingly, numerous authors have contributed to the issues of safety practices in managing building production process with different views on factors causing construction accident and insensitiveness to safety practices, but there have been a little efforts to bring together major causes and factors militating against safety practices in unified manners. Therefore, all identified forty nine factors from literature review [1], [2], [3], [4], [5], [6], [7], [8], [9], [9], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32] were brought together and grouped into five different categories. Descriptive statistics were performed on the data to rank these factors as affected workmen on construction sites. The results were presented in figures, text file and tables using Mean Score. The data presented in this study were enable construction managers to standardize project risks assessment and management.

Dataset for material logistics on construction sites.

Data in this article describes logistics management on construction sites in Abuja, Nigeria. Data was elicited from 55 construction professionals comprising of Architects, Builders, Civil Engineers, Project Managers and Quantity Surveyors. The Data set in this study consists of responses on: factors affecting material purchase on construction sites, factors affecting accuracy of material delivery, challenges encountered during material delivery, benefits of material delivery on construction sites and methods of forecasting material demand on construction sites. This article provides insight into logistics management on construction sites in Nigeria and it can be a useful guide for similar research in other contexts.

Survey data on e-Procurement adoption in the Nigerian building industry.

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.

Survey dataset on occupational hazards on construction sites.

The construction site provides an unfriendly working conditions, exposing workers to one of the harshest environments at a workplace. In this dataset, a structured questionnaire was design directed to thirty-five (35) craftsmen selected through a purposive sampling technique on various construction sites in one of the most populous cities in sub-Saharan Africa. The set of descriptive statistics is presented with tables, stacked bar chats and pie charts. Common occupational health conditions affecting the cardiovascular, respiratory and musculoskeletal systems of craftsmen on construction sites were identified. The effects of occupational health hazards on craftsmen and on construction project performance can be determined when the data is analyzed. Moreover, contractors' commitment to occupational health and safety (OHS) can be obtained from the analysis of the survey data.

Data exploration of social client relationship management (CRM 2.0) adoption in the Nigerian construction business.

Integrating social client relationship management (CRM 2.0) in the built environment can enhance the relationship between construction organizations and client towards sustaining a long and lasting collaboration. The data exploration analyzed the e-readiness of contracting and consulting construction firms in the uptake of CRM 2.0 and the barriers encountered in the adoption of the modern business tool. The targeted organizations consist of seventy five (75) construction businesses operating in Lagos State which were selected from a pool of registered contracting and consulting construction firms using random sampling technique. Descriptive statistics of the e-readiness of contracting and consulting construction firms for CRM 2.0 adoption and barriers limiting its uptake were analyzed. Also, inferential analysis using Mann-Whitney U statistical and independent sample t-test was performed on the dataset obtained. The data generated will support construction firms on the necessity to engage in client social relationship management in ensuring sustainable client relationship management in the built environment.

Survey dataset on work-life conflict of women in the construction industry.

Work-life conflict can have a detrimental effect on family life, particularly for women who have to work in order to support their families financially. The data set presents the views of 50 female construction professionals in Lagos, Nigeria through a purposive sampling technique with the aid of questionnaire. Categorical Regression was used to assess the effect of work pressure on family expectations. The features of the respondents in terms of profession, years of experience, office location and household characteristics were presented in bar chart. Analysis of the data can provide information on the work experiences of women in the construction industry particularly work load, hours worked per day, work on weekends and work on holidays. The data can also provide insights on the family expectations that are significantly affected by work pressure.

Survey datasets on women participation in green jobs in the construction industry.

The unique qualities of women can make them bearers of solutions towards achieving sustainability and dealing with the dangers attributed to climate change. The attitudinal study utilized a questionnaire instrument to obtain perception of female construction professionals. By using a well-structured questionnaire, data was obtained on women participating in green jobs in the construction Industry. Descriptive statistics is performed on the collected data and presented in tables and mean scores (MS). In addition, inferential statistics of categorical regression was performed on the data to determine the level of influence (beta factor) the identified barriers had on the level of participation in green jobs. Barriers and the socio-economic benefits which can guide policies and actions on attracting, retaining and exploring the capabilities of women in green jobs can be obtained from the survey data when analyzed.