Resource management for colleges and universities /

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Bibliographic Details
Author / Creator:Massy, William F., author.
Imprint:Baltimore : Johns Hopkins University Press, 2020.
Description:1 online resoure : (xvi, 336 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12594942
Hidden Bibliographic Details
ISBN:9781421437866
1421437864
9781421437859
1421437856
Notes:Includes bibliographical references and index.
Print version record.
Summary:"This is a professional title about financing operations at institutions of higher education. The author describes how universities are now using comprehensive activity-based models to understand their teaching and research revenues, costs, margins, and operating details, and he explains how to predict the results of enrollment and other changes as needed in budget planning. He presents detailed narratives about how the new models are being used to inform major university decisions"--
Other form:Print version: Massy, William F. Resource management for colleges and universities. Baltimore : Johns Hopkins University Press, 2020 9781421437859

MARC

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505 0 |a Preface -- Prologue: Preview of applications -- PART ONE. Introduction to AR modeling. 1. Changing the conversation -- 2. Getting into AR models -- 3. Building trust in your AR model -- PART TWO. Full-function AR models. 4. Pilbara's full-function AR model -- 5. Historical models and operating decisions -- 6. Predictive models and scenario planning -- PART THREE. Other AR tools. 7. Comprehensive program review -- 8. Universities as mission-driven enterprises -- Conclusion: The way forward -- Appendix A. Activity analysis detail -- Appendix B. Scoring market data with fuzzy logic -- Appendix C. More on not-for-profit models -- Notes -- Bibliography -- Index. 
520 |a "This is a professional title about financing operations at institutions of higher education. The author describes how universities are now using comprehensive activity-based models to understand their teaching and research revenues, costs, margins, and operating details, and he explains how to predict the results of enrollment and other changes as needed in budget planning. He presents detailed narratives about how the new models are being used to inform major university decisions"--  |c Provided by publisher. 
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