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Allocation Formula Considerations Supply Demand Cost.

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Presentation on theme: "Allocation Formula Considerations Supply Demand Cost."— Presentation transcript:

1 Allocation Formula Considerations Supply Demand Cost

2 Common allocation Factors Number of students (grad/undergrad) Number of courses (grad/undergrad) Or Number of credits (grad/undergrad) Number of faculty Cost of acquiring materials Use (issue: not discipline specific) Factors may be weighted to reflect institutional values

3 Other Factors Accreditation requirement New programs Increased or changing emphases How well previous year’s allocation met needs Formats LC classes shared by multiple departments (collection development profiles)

4 Other Factors Ability to modify formula as needed % of University budget/institutional priority (PBA)can be on department or program level Some institutions allocation by subject areas: humanities, sciences, social science, technology, professional programs Some assign interdisciplinary formats---- databases or journals to the library general fund

5 Test Effectiveness Minor changes can make unexpected results Impact on reduced allocation could go below level needed to sustain subscriptions or packages Things not adequately covered by departmental allocation(for example, allocation would not cover journals in Library’s budget)

6 Additional Considerations Document decision process – Source of data – Any special allocations for new programs, (one time or recurring) etc – Factors that are weighted—(Cross says that weighting factors replaces objectivity with subjectivity) Cross, R. L (2011). Budget allocation formulas: magic or illusion? The Bottom Line: Managing Library Finances. 24 (1), 63-67

7 Additional Considerations Big ticket items Special buying opportunities PBA keeps reflects changing priorities in a single factor Interlibrary loan costs Inflation

8 Subcommittee Meetings Established factors that will be weighted (with input from the library faculty) Assigned weights to the factors Considered weighting graduate students by credit hours and/or by FTES Experimented with hypothetical data to see impact of the weighted factors


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