Researcher ORCID Identifier

0009-0004-2134-3800

Graduation Year

2025

Date of Submission

12-2024

Document Type

Campus Only Senior Thesis

Degree Name

Bachelor of Arts

Department

Economics-Accounting

Reader 1

Murat Binay

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.

Rights Information

(c) 2024 Bet-sua J Perez Marcial

Abstract

This study categorizes not-for-profit organizations as either service or revenue maximizers to examine the differences in drivers of efficiency and fiduciary transparency while controlling for size, employee workforce, and crowding-out effects. Though previous literature has consistently looked at metrics such as operating margins, program ratios, and financial statement disclosures, end-objective effects have yet to be considered as a significant aspect in determining drivers of these financial and operational measures. This paper utilizes a multiple linear regression model to analyze the determinants of an organization's program ratio as an indicator of organizational efficiency. This report then incorporates a logistic regression model to assess the key drivers of independent auditing of not-for-profit financial statements as a measure of transparency. Ultimately, the statistically significant findings of this study confirm the differences in the factors influencing financial health and disclosure measures between service maximizers and revenue maximizers.

Download

This thesis is restricted to the Claremont Colleges current faculty, students, and staff.

Share

COinS