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An Analytical Hierarchy Process (AHP) framework for artist ranking: evidence from an art gallery in Italy

Author

Listed:
  • Sofia Corradini

    (Ca’ Foscari University of Venice)

  • Stefania Funari

    (Ca’ Foscari University of Venice)

  • Silvio Giove

    (Ca’ Foscari University of Venice)

Abstract

Art evaluation is a longstanding challenge mainly due to its multidimensional nature. In recent decades, the expansion of online art markets and the increasing interest in art as an asset class have intensified the demand for transparent, systematic tools for art assessment. Existing artist rankings are widely used, but often rely on opaque logics and embedded biases. This research introduces a structured framework for building artist rankings through Multi-Criteria Decision Analysis (MCDA), specifically the Analytical Hierarchy Process (AHP). To assess its feasibility, we conducted a case study using data from an art gallery in Trento, Italy. Our findings indicate that this approach improves transparency and interpretability, while balancing both quantitative indicators and expert judgements. Moreover, the framework is flexible and adaptable to specific objectives and various artistic contexts.

Suggested Citation

  • Sofia Corradini & Stefania Funari & Silvio Giove, 2026. "An Analytical Hierarchy Process (AHP) framework for artist ranking: evidence from an art gallery in Italy," Working Papers 2026: 15, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2026:15
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    References listed on IDEAS

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

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