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Development of a Decision Support System Framework for Cultural Heritage Management

Author

Listed:
  • Eleonora Di Matteo

    (Management & Economics Research Group, Department of Engineering, Università degli Studi di Palermo, Viale delle Scienze, 90128 Palermo, Italy)

  • Paolo Roma

    (Management & Economics Research Group, Department of Engineering, Università degli Studi di Palermo, Viale delle Scienze, 90128 Palermo, Italy)

  • Santo Zafonte

    (Management & Economics Research Group, Department of Engineering, Università degli Studi di Palermo, Viale delle Scienze, 90128 Palermo, Italy)

  • Umberto Panniello

    (Department of Management, Mathematics and Mechanics, Politecnico di Bari, Viale Japigia 182/B, 70126 Bari, Italy)

  • Lorenzo Abbate

    (Management & Economics Research Group, Department of Engineering, Università degli Studi di Palermo, Viale delle Scienze, 90128 Palermo, Italy)

Abstract

Decision support systems (DSSs) have been traditionally identified as useful information technology tools in a variety of fields, including the context of cultural heritage. However, to the best of our knowledge, no prior study has developed a DSS framework that incorporates all the main decision areas simultaneously in the context of cultural heritage. We fill this gap by focusing on design-science research and specifically by developing a DSS framework whose features support all the main decision areas for the sustainable management of cultural assets in a comprehensive manner. The main decision-making areas considered in our study encompass demand management, segmentation and communication, pricing, space management, and services management. For these areas, we select appropriate decision-making supporting techniques and data management solutions. The development of our framework, in the form of a web-based system, results in an architectural solution that is able to satisfy critical requirements such as ease of use and response time. We present an application of the innovative DSS framework to a museum and discuss the main managerial implications and future improvements.

Suggested Citation

  • Eleonora Di Matteo & Paolo Roma & Santo Zafonte & Umberto Panniello & Lorenzo Abbate, 2021. "Development of a Decision Support System Framework for Cultural Heritage Management," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7070-:d:580783
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    References listed on IDEAS

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    1. Maria Gabriella Trovato & Dana Ali & Jessica Nicolas & Ammar El Halabi & Sarah Meouche, 2017. "Landscape Risk Assessment Model and Decision Support System for the Protection of the Natural and Cultural Heritage in the Eastern Mediterranean Area," Land, MDPI, vol. 6(4), pages 1-27, November.
    2. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos, 2005. "A technical analysis approach to tourism demand forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 327-333.
    3. Luigi Petti & Claudia Trillo & Busisiwe Ncube Makore, 2020. "Cultural Heritage and Sustainable Development Targets: A Possible Harmonisation? Insights from the European Perspective," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    4. Morreale, Azzurra & Robba, Serena & Lo Nigro, Giovanna & Roma, Paolo, 2017. "A real options game of alliance timing decisions in biopharmaceutical research and development," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1189-1202.
    5. Lucia Della Spina, 2020. "Adaptive Sustainable Reuse for Cultural Heritage: A Multiple Criteria Decision Aiding Approach Supporting Urban Development Processes," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    6. Law, Rob & Li, Gang & Fong, Davis Ka Chio & Han, Xin, 2019. "Tourism demand forecasting: A deep learning approach," Annals of Tourism Research, Elsevier, vol. 75(C), pages 410-423.
    7. Andrés José Prieto & Juan Manuel Macías-Bernal & Ana Silva & Pilar Ortiz, 2019. "Fuzzy Decision-Support System for Safeguarding Tangible and Intangible Cultural Heritage," Sustainability, MDPI, vol. 11(14), pages 1-12, July.
    8. Song, Haiyan & Gao, Bastian Z. & Lin, Vera S., 2013. "Combining statistical and judgmental forecasts via a web-based tourism demand forecasting system," International Journal of Forecasting, Elsevier, vol. 29(2), pages 295-310.
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    1. Giovanna Acampa & Fabrizio Battisti & Mariolina Grasso, 2023. "An Evaluation System to Optimize the Management of Interventions in the Historic Center of Florence World Heritage Site: From Building Preservation to Block Refurbishment," Land, MDPI, vol. 12(4), pages 1-17, March.

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