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Business Process Management in Academic Libraries: Analyzing the As-Is Model of the Circulation Department

In: Operational Research in the Era of Digital Transformation and Business Analytics

Author

Listed:
  • Fotis C. Kitsios

    (University of Macedonia
    Hellenic Open University)

  • Maria I. Kamariotou

    (University of Macedonia)

  • Parthena Matoula

    (University of Macedonia)

  • Barbara Kissa

    (University of Macedonia)

  • Elias Gounopoulos

    (University of Western Macedonia)

Abstract

Although various studies have proved the efficacy of computer simulations, real-case applications, particularly in academic libraries, are still lacking. Simultaneously, libraries are under increasing pressure to provide high-quality services at a lower cost, strengthen their client focus, and track control processes. Libraries are dealing with a lack of resources, excessive wait times, and financial losses. In a high-stress job environment, library employees frequently express unhappiness. In this chapter, a framework to model the circulation department at the University of Macedonia’s library was suggested. The circulation department is the point of service where books and other library resources are checked in and out. The existing scenario (As-Is model) was examined using secondary data. The Business Process Management (BPM) framework can be used to discover and comprehend entity movement, inefficiencies, and threats. Finally, analyzing the As-Is model in various activities can reveal improvements in the library’s business model, and the results can be studied to save time, money, and resources.

Suggested Citation

  • Fotis C. Kitsios & Maria I. Kamariotou & Parthena Matoula & Barbara Kissa & Elias Gounopoulos, 2023. "Business Process Management in Academic Libraries: Analyzing the As-Is Model of the Circulation Department," Springer Proceedings in Business and Economics, in: Nikolaos F. Matsatsinis & Fotis C. Kitsios & Michael A. Madas & Maria I. Kamariotou (ed.), Operational Research in the Era of Digital Transformation and Business Analytics, pages 133-140, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-24294-6_14
    DOI: 10.1007/978-3-031-24294-6_14
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