Measuring institutional support strategies and faculty job effectiveness.

This study examines the influence of institutional support strategies on the effectiveness of Faculty core job responsibilities in some selected public universities in Nigeria. Survey research design was adopted for the assessment of the subject matter. Six hundred (600) respondents were surveyed across all the colleges/faculties of universities selected in Nigeria with the use of stratified sampling technique. Only four hundred and twenty nine (429) copies of questionnaire representing (71.5%) response rate were returned and used for this study. Structural Equation Model (AMOS 22) was used for the analysis to find the influence institutional support initiative on efficacy of job responsibilities of Faculty. Results show research support, pedagogical support and technical support are predictors of Faculty responsiveness to quality research productivity, quality knowledge sharing and administrative efficiency. The study emphasised the need for review of the various institutional support in order to determine the appropriateness and relevance of the initiative. The study contributes to the exiting knowledge in HRM and Facility job performance. The insights from this study would be of great value to the management of universities, and other stakeholders to develop and invest in appropriate institutional support that will enhance job effectiveness of Faculty members.

Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set.

The main objective of this paper is to present the data set which depicts faculty commitment and effectiveness of job responsibilities in a changing world and the moderating role of the university׳s support system. The population of the study consisted all the 1912 Faculty members of six selected private universities in Southwest, Nigeria [5]. The sample size determination formula by [5] was adopted, resulting in the selection of 400 respondents to whom a structured questionnaire was administered accordingly. Only 343 copies of the questionnaire were valid and used for this data set. Structural equation modeling, which combines factor analysis and multiple regression, was used to present the structural relationship between dependent and independent variables. When the data is analysed, it will help to determine the degree of relationship and the strength of significance between the observed variables and the latent constructs.

Data on perception of faculty members on the influence of faculty support initiatives on the efficacy of job responsibilities.

The main objective of this survey is to present data on the perception of the influence of faculty support initiatives on efficacy of job responsibilities using six private university in Nigeria as case study. The population of the study included all faculty members of selected private universities with a total of 1912 faculty members. A sample size of 500 were selected to participate in the survey based on the outcome of the sample size determination formula suggested by Falola et al. (2016) [5]. The validity and reliability of the research instrument were carried out. Regression analysis and structural equation modeling were used as statistical tool of analysis. It is believed that when the data is analysed, it will give insight into how faculty support initiatives of various universities can help in enhancing the effectiveness of job responsibilities.

Job design and behavioural outcome of employees in agricultural research training, Ibadan, Nigeria.

This study focused on the relationship between job design and behavioural outcomes of employees in Agricultural Research Training, Ibadan, Oyo State, Nigeria. The study was quantitative and the items in the questionnaire were adapted from previous studies. A total of 227 respondents were surveyed and statistical regression models were used to examine the relationship between the independent variables (job design) and dependent variables (employee behavioural outcomes). The findings showed that 14.4% of the variance in job design dimensions can explain the variance in employee behavioural outcome. The model revealed that task identity, sense of autonomy and skill variety had more statistical significance in predicting employee behavioural outcome, recording the highest beta value than other variables such as task significance and feedback mechanisms. The model indicates that the strength of regression weights of paths has a strong direction.