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Multilevel modeling for investigating the probability of digital innovation in museums

Author

Listed:
  • Sabrina Maggio

    (University of Salento)

  • Sandra Iaco

    (University of Salento
    National Centre for HPC, Big Data and Quantum Computing
    National Biodiversity Future Center)

  • Claudia Cappello

    (University of Salento)

Abstract

Museums represent a fundamental asset for the Italian cultural and social background, and the use of digital technologies can be considered as a keystone for their attractiveness. Thus, assessing the specific determinants which stimulate to invest in new digital solutions and to provide a competitive museum offer is of crucial interest. For this reason, a performing multilevel approach for modeling the probability of including digital innovations in museums will be discussed and different modeling options will be compared. In particular, the implementation of a multilevel binary logit model will be useful to detect the factors of adopting at least basic digital tools. Then, the development of an innovative and flexible multilevel multinomial ordered model will be suitable to further investigate on the probability for the museums to move towards medium/low or high levels of digitalization, on the basis of an increasing sorting criterion. This will be realized by considering the variation of such probability both at regional and provincial levels for some key specific museums features, as well as by including some regional/provincial contextual factors.

Suggested Citation

  • Sabrina Maggio & Sandra Iaco & Claudia Cappello, 2024. "Multilevel modeling for investigating the probability of digital innovation in museums," Annals of Operations Research, Springer, vol. 342(3), pages 1737-1764, November.
    • Handle: RePEc:spr:annopr:v:342:y:2024:i:3:d:10.1007_s10479-023-05529-6
    DOI: 10.1007/s10479-023-05529-6
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    References listed on IDEAS

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