AI SearchBudgeting in higher education
Call Number: AIT Diss. no.SM-16-11 Material type:
SeriesSeries: Asian Institute of Technology. Dissertation ; no. SM-16-11Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2016Description: 118 p. : illSubject(s): Online resources: Dissertation note: Thesis (Ph.D.) - Asian Institute of Technology, 2016 Summary: This study presents analyses of panel data from 2007 to 2011 from various authoritative sources of information on public universities in Thailand. The focus is on factors that influence the budgetary decision-making process in providing educational services to the general public under a recently implemented performance-based budgeting (PBB) system. Theories applied to this research consists of PBB theory, principal-agent theory, resource dependence theory, and decision-making process theory. Results from fixed effect regression models show that student headcount, political influence, and economic conditions are not statistically significant variables in the decision-making process which establish budgetary expenditures for educational services. These findings seem to contradict those in existing literature that have relied on analyses of data from surveys, interviews, and questionnaires. This study contributes to the literature by providing quantitative data analysis and providing accurate information that could assist university administrators in preparing their universities' budgets.
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Thesis (Ph.D.) - Asian Institute of Technology, 2016
A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Management, School of Management
This study presents analyses of panel data from 2007 to 2011 from various authoritative sources of information on public universities in Thailand. The focus is on factors that influence the budgetary decision-making process in providing educational services to the general public under a recently implemented performance-based budgeting (PBB) system. Theories applied to this research consists of PBB theory, principal-agent theory, resource dependence theory, and decision-making process theory. Results from fixed effect regression models show that student headcount, political influence, and economic conditions are not statistically significant variables in the decision-making process which establish budgetary expenditures for educational services. These findings seem to contradict those in existing literature that have relied on analyses of data from surveys, interviews, and questionnaires. This study contributes to the literature by providing quantitative data analysis and providing accurate information that could assist university administrators in preparing their universities' budgets.
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