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This case study explores how Nijmegen University Library utilizes statistical analysis to improve its performance despite relatively low expenditures and limited opening hours. With a well-defined focus on efficient processes and quick services, the library processes an impressive 1,490 items per FTE annually and ensures new books are available within an average of 24 days. By assessing performance indicators and utilizing the INK quality model, the library aims to streamline processes and enhance satisfaction while planning for future budget increases.
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Using statistics to enhance library performance, an example Anja Smit
Nijmegen University Library Relatively low expenditures Limited opening hours Efficient processes Quick services Average usage
Expenditures Budget 3% of university budget Income library is 4% Expenditures on literature: 29% Expenditures on e-media: 12%
Processes 1,490 items processed per fte / year New books available within 24 days on average Items from closed stacks in 18 minutes at the lending desk ILL-requests handled within 23 hours
Facilities / Usage Opening hours: 64 hours per week 7.4 Loans per student 11.5 Loans per fte academic staff
ILL Ratio received / submitted requests: books 1 : 2.6 articles 1 : 1
Dutch Benchmarking Project 1998 – 2000 Evaluation instrument for Academic libraries INK Quality model
Dutch Benchmarking Project Field Tested 36 perf. indicators Result: 24 Performance Indicators 6 Surveys Gap: electronic library
Dutch Benchmarking InstrumentIssues Consensus Comparibility Commitment
While introducing new metrics Be practical !! Take your time !!
Results Assessment culture Streamlined processes Set goals Larger acquisitions budget
Future Nijmegen University Library Relatively low expenditures Limited opening hours Efficient processes Quick services Average usage Up-to-date expenditures Satisfying opening hours