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

Author

Listed:
  • Calogero Guccio

    (Department of Economics and Business, University of Catania)

  • Marco Ferdinando Martorana

    (Department of Economics and Business, University of Catania)

  • Isidoro Mazza

    (Department of Economics and Business, University of Catania)

  • Giacomo Pignataro

    (Department of Economics and Business, University of Catania)

  • Ilde Rizzo

    (Department of Economics and Business, University of Catania)

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 Data Envelopment Analysis (DEA) and bootstrapping technique 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 shows to play a major role.

Suggested Citation

  • Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2020. "Is innovation in ICT valuable for the efficiency of Italian museums?," ACEI Working Paper Series AWP-01-2020, Association for Cultural Economics International, revised Dec 2020.
  • Handle: RePEc:cue:wpaper:awp-01-2020
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    More about this item

    Keywords

    museums; ICT; technological innovation; efficiency; Data Envelopment Analysis; bootstrap truncated regression;
    All these keywords.

    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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