Developing A Human Resource Development Framework for Pakistani Universities

Abstract

In this competitive globe, human resources especially skilled workforce is extremely essential in any organization or institution. The development of human resources determines the overall productivity, efficiency, and effectiveness of every organization. Based on the previous studies, a conceptual framework was developed. All executive, administrative heads, and faculty members of HEC approved universities working in public and private sectors in the province of Punjab (Pakistan) were the study population. The study was delimited to the province of Punjab, and ten public and ten private sector universities were selected through purposive sampling technique. At the first stage, ten public and ten private sector universities were selected, and at the next stage social sciences departments were selected through random sampling technique for seeking the valuable opinions of the respondents. A total 800 questionnaires were administrated, and 558 respondents (69.75%) responded. The research instrument was piloted prior to its administration. Before data entry, it was sorted out, cleaned, and scanned. After data entrance, it was analyzed using Statistical Package for Social Sciences (SPSS) version 21 and Structural Equation Modeling (SEM) using AMOS software version 24. Analysis of the data revealed a gap between existing and required human resource development practices for faculty development programs in Pakistani universities. During data analysis, the items correlated to their constructs were used in the confirmatory factor analysis, and a measurement model for each construct was developed. Data analysis, findings, and conclusions were drawn, and a human resource development framework was developed for faculty and organizational development. The proposed model would VII provide a better insight to manage the human resource development practices in such a way that it would transform Pakistani universities into top-ranking institutions. Keywords: Human resource development, Structural Equation Modeling, Faculty development, Higher education, Assessment scale, Exogenous variables, Endogenous variables