ตัวแบบการตัดสินใจสำหรับการจัดการทุนการศึกษาของคณะบริหารธุรกิจ มหาวิทยาลัยเชียงใหม่

Abstract

The purposes of this study were to examine appropriate decision-making factors for scholarship management of the Faculty of Business Administration, Chiang Mai University, and to establish a decision model for scholarship management for business administration. The Faculty of Business Administration, Chiang Mai University, collected data from two sample groups: (1) 31 supervisors or decision-makers in considering scholarships for all 22 faculties of Chiang Mai University, and (2) 100 students receiving a scholarship of the Faculty of Business Administration, Chiang Mai University, in 2020. Descriptive statistics (frequency, percentage, standard deviation, and mean) and inferential statistics (t-test, correlation, and multiple linear regression) were used to analyze the data.

The findings revealed that factors effective to the decision for the student scholarship at the Faculty of Business Administration, Chiang Mai University, include 12 factors as follows: 1) annual income of parents or sponsors, 2) occupation of parents or sponsors, 3) annual expenditure of parents or sponsors, 4) part-time work for additional income of scholarship applicants, 5) marital status of parents or scholarship applicants, 6) monthly expenditure of scholarship applicants, 7) household debt, 8) housing condition of scholarship applicants, 9) activities in educational institution of scholarship applicants, 10) previously received or currently receiving scholarship, 11) previously received or currently receiving loan, and 12) skills of scholarship applicants.

The forecasting results of the scholarship amount using multiple regression are as follows. Scholarship amount = 4787.451 -+ 244.822 (parents' or sponsors' annual income factor)+ 285.507 (parents' or sponsors' occupational factor)+ 232.092 (parents' or sponsors' annual expenditure) + 333.255 (part-time work factor for additional income of scholarship applicants) + 326.481 (marital status factor of scholarship applicants' parents) +288.547 (monthly expenditure factor of scholarship applicants) +307.703 (household debt factor) +402.317 (scholarship applicants' housing condition factor) +303.781 (activity factor in educational institutions of scholarship applicants) +262.20 5 (factor of previously received or currently receiving scholarship) +305. 770 (factor of previously received or currently receiving loan) +309.389 (skill factor of scholarship applicants). The equation can forecast the scholarship amount at 92.3%.