Optimal human resource planning with P-graph for universities undergoing transition

Abstract

This study deals with the problem of human resources planning due to the additional workforce requirements of research activities. In practice, planning of human resource expansion is seldom done in a systematic manner, thus leading to sub-optimal results. In this work, a P-graph model is developed as a decision support tool to aid in planning expansion of staffing levels for Higher Education Institutions. Many higher education institutions in the developing world are undergoing the transition from being teaching-intensive to becoming increasingly research-oriented. This shift is widely recognized as an important adjustment to the need for universities to play a greater role in creating knowledge capital, which is an essential component to fuel the next phase of growth of developing countries. Research universities are an essential resource for facilitating eco-innovation in industry. New targets that involve increased research output tend to put strain on institutional processes and resources that were previously configured to meet the demands of teaching-intensive organizations. The model formulation is based on an input-output framework that reflects interdependencies among different employee categories. The use of the model is illustrated with a representative case study of a typical Higher Education Institution in the Philippines.