ประสิทธิผลการบริหารจัดการคณะวิทยาการจัดการ มหาวิทยาลัยราชภัฏ

Abstract

Effectiveness of the Management Sciences Faculty, Rajabhat Universities 

The objectives of this research aim at 1) the studies of effective management level of Management Science faculty, Rajabhat Universities, 2) the correlation of effective management and the variables of the studies, 3) the significant variables in predicting the effective management levels, 4) propose the management models associating to those levels. The methods of studies comprise quantitative analysis by sampling techniques from many instructors totaling 40 Rajabhat Universities of Thailand with 358 samples, and verių ed the quantitative data techniques by in depth interview Dean and Management Team from the Faculty of Management Science amounting to 11 persons. Tools used for data collecting are questionnaires with the analytical statistics, Mean, Standard Deviation, Pearson’s Product Moment Coefficient, and Stepwise Multiple Regression Analysis. The research results revealed that the Faculty of Management Science, in general, is effective in a high level, as well as the learning and teaching techniques, research, academic services fo communities. In addition, the quality assurance is in high condition. For factors relating to the management effectiveness, the management techniques sequential by the relationship are as follows; Leadership (r =.74), quality of personnel (r = .69), budget (r = 68), quality of technology (r = .64), quantity of technology (r = .63), conceptual framework (r = .52), shared vision (r = .52), personnel’s competency (r = .51), systematic thinking (r = .50), team learning (r = .48), and value (r = .47). All of 6 independent variables comprising leadership, quality of personnel, quality of technology, personnel’s competency, quantity of technology, and value are able to predict the Management effectiveness with 69.70% (R2 = 0.70, F = 126.71 with significant level of .01). The model presented consist of the independent variables that are able to predict the effectiveness with all of 6 variables for the Faculty of Management Science.