Manpower Planning for Demand Forecasting of Faculty Members using Trend Analysis and Regression

Abstract

Employing adequate manpower is one of the major concerns of modern organizations. As Faculty members having specific characteristics they are not available when necessary and this requires planning in order to predict their demand in time. In this research using trend analysis as one of the quantitative method for estimation first the predictive variables including BAMA and PhD students also the published articles are predicted for five years then by using regression equations models the faculty members by rank age and gender are forecasted. The findings showed that associate professors aged 46 to 55 years are the most necessary manpower to be employed. Also the percentage of female faculty members shows significant growth.