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Is innovation in ICT valuable for the efficiency of Italian museums?

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Listed:
  • Calogero Guccio
  • Marco Ferdinando Martorana
  • Isidoro Mazza
  • Giacomo Pignataro
  • Ilde Rizzo
Abstract
This paper investigates the influence of information and communication technologies (ICT) on the efficiency in attracting visitors of Italian museums. Notwithstanding the extensive literature on museum performance measurement, the analysis of the role of technological innovation is relatively neglected. As a first attempt to fill this lacuna, this study presents a two-stage analysis of a novel sample of Italian state-owned museums built by merging information drawn from different sources. In the first stage, we use bootstrapped Data Envelopment Analysis (DEA) to measure the efficiency of museums. In the second stage, we use a bootstrap truncated regression approach to test the extent to which different forms of ICT affect museum efficiency. We distinguish the ICT investments into ‘in situ’ and online services, since the former improve the visitors’ experience on site, while the latter can prepare for the visit or, even, be a substitute of the visit. The results reveal that the use of ICT is generally associated with better performances but ‘in situ’ services show to play a major role.

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  • Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2022. "Is innovation in ICT valuable for the efficiency of Italian museums?," European Planning Studies, Taylor & Francis Journals, vol. 30(9), pages 1695-1716, September.
    • Handle: RePEc:taf:eurpls:v:30:y:2022:i:9:p:1695-1716
    DOI: 10.1080/09654313.2020.1865277
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    Cited by:

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    2. Idiano D’Adamo & Assunta Di Vaio & Alessandro Formiconi & Antonio Soldano, 2022. "European IoT Use in Homes: Opportunity or Threat to Households?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
    3. Del Barrio-Tellado, María José & Gómez-Vega, Mafalda & Herrero-Prieto, Luis César, 2023. "Performance of cultural heritage institutions: A regional perspective," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • Z1 - Other Special Topics - - Cultural Economics

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