Increasing Quantitative Analysis in Baylor's Philanthropy Lab Course

dc.contributor.advisorHogue, Andrew
dc.contributor.authorMcBride, Margaret
dc.contributor.departmentBaylor Business Fellows.en_US
dc.contributor.schoolshonors collegeen_US
dc.date.accessioned2020-05-21T13:22:20Z
dc.date.available2020-05-21T13:22:20Z
dc.date.copyright2020
dc.date.issued2020-05-21
dc.description.abstractThis paper examines the decisions, results, and implications of Baylor’s spring 2017 Philanthropy Lab class grants. The paper first outlines the research and decision making processes utilized by the class in the spring 2017 semester. Two grants made to the organizations UnBound and R Labs act as case studies for analysis of successes and failures within these grants. Both grants deviated from their original intent, and thus provide insight to process improvements. These case studies act as the foundation for an analysis of how to improve the philanthropy course and decrease the likelihood of negative outcomes. Final recommendations for the course focus on increasing quantitative analysis in the grant-making process. This includes increasing project research, analyzing organization funding sources, and researching organization and industry metrics. The primary aim of these changes is to lessen the potential downside risk of grants with more thorough thought processes.en_US
dc.identifier.urihttps://hdl.handle.net/2104/10879
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.subjectPhilanthropy.en_US
dc.titleIncreasing Quantitative Analysis in Baylor's Philanthropy Lab Courseen_US
dc.typeThesisen_US

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