Survey data on supply chain improvement and operational competency of oil and gas firms in Nigeria

The firm׳s suppliers are in most social responsibility literature considered a branch of the firm׳s stakeholders that may not necessarily benefit directly from the firm׳s social responsibility practices. However recent studies on CSR from the developing country׳s perspective has highlighted the importance that needs to be placed on supply chain improvement. Thus, this article presents data on the effect of supply chain improvement as a construct of corporate social responsibility on operational competency. The study employed a descriptive quantitative research design survey method. The study population consists of 1748 employees from four top oil and gas firms quoted in the Nigerian stock exchange. A sample size of 350 employees were selected. Data was analysed using statistical Package for Social Sciences (SPSS). Regression analysis was employed as the statistical tool of analysis. The field data set is made widely accessible in this article.


a b s t r a c t
The firm's suppliers are in most social responsibility literature considered a branch of the firm's stakeholders that may not necessarily benefit directly from the firm's social responsibility practices. However recent studies on CSR from the developing country's perspective has highlighted the importance that needs to be placed on supply chain improvement. Thus, this article presents data on the effect of supply chain improvement as a construct of corporate social responsibility on operational competency. The study employed a descriptive quantitative research design survey method. The study population consists of 1748 employees from four top oil and gas firms quoted in the Nigerian stock exchange. A sample size of 350 employees were selected. Data was analysed using statistical Package for Social Sciences (SPSS). Regression analysis was employed as the statistical tool of analysis. The field data set is made widely accessible in this article.
& The gathered data were based on randomly selected respondents among employees in oil and gas firms operating in Lagos.

Data source location
South west, Nigeria Data Accessibility Data is provided with this article

Value of data
The data provided gives an insight on the firms' involvement in supply chain improvement within the confines of corporate social responsibility in oil and gas firms in Nigeria. Further studies can review this stance in other industries.
The provided data also shows statistics on CSR from the developing country's perspective.
Considering the limited available data on CSR that goes beyond philanthropy from the developing country's perspective, future studies might consider expanding their investigation into other aspects of CSR beyond philanthropy.
Considering the limited available data on employees' perception of the firm's commitment to supply chain improvement, as well as lack of data set on this area of corporate social responsibility, the provided data opens up avenue for future studies focused on the creating shared value concept of CSR.

Data
A total of three hundred and fifty copies of questionnaire were administered to respondents from the top four listed oil and gas firms in Nigeria's stock exchange. Table 1 below shows that 22.9% of the population of this study were from Firm 1, 27.3% from Firm 2, 27.8% from Firm 3 and 22% from Firm 4. This clearly shows that each firm for the study was well represented. The demographic characteristics of the respondents are also highlighted in Table 2 below.

Statement of test statistics
Given that the correlation co-efficient measures the degree to which two things vary together, this model correlated two variables: supply chain improvement and operational competency. Table 3 showed the descriptive statistics of supply chain improvement and operational competency for each oil and gas Firm. Respondents from all the sampled firms agreed with all the constructs in this variable. Most of the respondents acknowledged positively to the contribution of firm's supply chain improvement on its operational competency. Nonetheless Firm 1(4.461), Firm 4 (4.313) and Firm 2 (4.007) respondents admitted favourably to the statement however, respondents from Firm 3 (3.993) slightly agreed. This indicates that management of Firm 3 needs to develop strategies that will help to facilitate their supply chain improvement. The above Table 4 showed the statistical significance of the two variables for each oil and gas firm: supply chain improvement and operational competence using the multiple regression. The statistics presented in the table above under R square is called the coefficient of determination and referred to as R 2 . The R Square tells how much of the variance in the dependent variable (operational competency) is explained by the independent variable (supply chain improvement). The F statistic tests the overall significance of the model. In this case, the value for each firm (Firm 1 ¼ 0.920, Firm 2 ¼ 0.601.  Firm 3 ¼ 0.510 and Firm 4 ¼ 0.579) is expressed as a percentage, this means that the independent variable (supply chain improvement) explains Firm 1 (92%), Firm 2 (60.1%), Firm 3 (51%) and Firm 4 (57.9%) of the variance in operational competency ( Table 5). The above Table 6 showed the statistical significance of the two variables of supply chain improvement and operational competency using the categorical regression. Table 7 shows the combined influence of the independent variables (training honesty in contracts with suppliers, dialogue with suppliers, promotion of local suppliers, support of local suppliers, industry standards) on operational competency (the dependent variable) of the firms.
The result in Table 8 shows the staff opinion on the potential of the firm's commitment to supply chain improvement in facilitating the operational competency of oil and gas firms, and it reveals that honest and quality in contracts with their suppliers is a major predictor of operational competency, which has the highest beta value of beta ¼ 0.499, p o .005, Sig. 0.000, than other variables: providing technical capacities and assistance to local suppliers (support of local suppliers) scaled (beta ¼ 0.490, p o .005, Sig. 0.000), promotion of local suppliers scaled (beta ¼ 0.144, p o .005, Sig. 0.004). Statistically, this means that honesty in contracts with suppliers makes the strongest unique contribution in influencing operational competence.

Experimental design, materials and methods
The data presented a quantitative research based on a descriptive research design to assess the effect of supply chain improvement on operational competency of oil and gas firms within the confines of corporate social responsibility and from a developing country's perspective. Survey method was considered appropriate for data gathering.
The population of the study consists of the stakeholders of four (4) top oil and gas firms listed on the Nigerian stock exchange. The choice of these firms is in support of previous studies [1,2] where it was statistically proffered that the study of corporate social responsibility is best situated in firms with top financial performance, as indicated by high stock price, which invariably means that the firm can carry out its economic obligations, and as such has resources to deal with social problems [3][4][5][6]. In total, there are one thousand, seven hundred and forty eight (1748) employees in all four firms. 350 employees were judiciously selected to partake in this research [7]. Data were collected from these organizations using an adapted researcher made questionnaire. A proportional analysis was conducted to determine the number of copies of the questionnaire to be distributed to the individual firms. The questionnaire is in two sections A and B. Section A contains background questions, section B consists of questions that are specific to the data provided, that is supply chain improvement and operational competency.
The data was coded and keyed into the statistical package for social sciences (SPSS) version 22. Data was described using inferential statistical tests involving multiple regression analysis.
The researchers ascertained that respondents were well informed about the background and the purpose of the research. Every respondent was entitled to the opportunity to stay anonymous and their responses treated with utmost confidentiality. Permission was obtained from the appropriate authorities in the firms where copies of the research instruments were distributed.

Ethical consideration
All procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Appendix A. Supplementary material
Supplementary data associated with this article can be found in the online version at http://dx.doi. org/10.1016/j.dib.2018.08.150.

Transparency document. Supplementary material
Transparency data associated with this article can be found in the online version at http://dx.doi. org/10.1016/j.dib.2018.08.150.