A Comparative Analysis on the Effect of the Chosen ILSes on Systems and Technical Services Staffing Models

Ping Fu, Moira Fitzgerald


This analysis compares how the traditional ILS and the next-generation ILS impact systems and technical services staffing models at academic libraries. The method used in this analysis is to select two categories of ILSes—two well-established traditional ILSes and three leading next-generation ILSes—and compare them by focusing on two aspects: (1) software architecture, and (2) workflows and functionality. The results of the analysis show that the next-generation ILS will have substantial implications for library systems and technical staffing models in particular, suggesting that library staffing models should be redesigned and key librarian and staff positions be redefined to meet the opportunities and challenges brought on by the next-generation ILS.

Keywords: next-generation ILS, client-server computing, cloud computing, library staffing modes

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DOI: https://doi.org/10.6017/ital.v32i3.3388


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