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The Evaluation of Networks Performance in Cultural Heritage Through Intelligent Systems

In: Information Systems: Crossroads for Organization, Management, Accounting and Engineering

Author

Listed:
  • Massimo Bianchi

    (Bologna University)

  • Arturas Kaklauskas

    (Vilnius Gediminas Technical University)

  • Joshua Onome Imoniana

    (Universidade Presbiteriana Mackenzie Sao Paulo)

  • Rebecca Levy Orelli

    (Bologna University)

  • Laura Tampieri

    (Bologna University)

Abstract

The paper analyses and discusses the application of intelligent systems in cultural networks by proposing a framework of performance evaluation based on the network approach. This approach is the natural evolution of cultural institutions that starts from the ownership and preservation of cultural heritage, to the use of web tools and to the perspective that considers the real user’s need identified not as simple information but as process to acquire a cultural awareness as the basis for cultural fruition. The research examined the search software based on the intelligent ones such as the Inquiry-Answer Extraction Networked System for Sustainable Tourism (IAST) to evaluate the performances. Thus, the basic research question is: which are the characteristics in the application of intelligent systems for cultural heritage networks which suggest a specific performance evaluation framework? On the basis of the undertaken analysis, different search tools existing in WEB could be applied to different profiles of users underlining the trade off between organizational top-down and bottom-up approaches.

Suggested Citation

  • Massimo Bianchi & Arturas Kaklauskas & Joshua Onome Imoniana & Rebecca Levy Orelli & Laura Tampieri, 2012. "The Evaluation of Networks Performance in Cultural Heritage Through Intelligent Systems," Springer Books, in: Marco De Marco & Dov Te'eni & Valentina Albano & Stefano Za (ed.), Information Systems: Crossroads for Organization, Management, Accounting and Engineering, edition 127, pages 387-395, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2789-7_43
    DOI: 10.1007/978-3-7908-2789-7_43
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    Cited by:

    1. Michele Galeotti & Stefano Garzella & Raffaele Fiorentino & Gaetano della Corte, 2016. "The Strategic Intelligence implications for Information Systems," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2016(1), pages 105-123.
    2. Rosita Capurro & Michele Galeotti & Stefano Garzella, 2018. ""Mondo reale-tradizionale" e "mondo digitale", strategie aziendali e web intelligence: il futuro del controllo e della gestione delle informazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2 Suppl.), pages 83-111.

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