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Maddalena Cavicchioli

Biographic Data

ID6730990
NAMEMaddalena Cavicchioli
GIVEN NAMESMaddalena
FAMILY NAMECavicchioli
SIGNATURECAVICCHIOLI M
AFFILIATIONSUniversity of Modena and Reggio Emilia
ORCID0000-0001-7125-8111
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Behind the screen

    Open Access•Fabio Demaria, A Papana Dagiasis et al.•ARTICLE•Socio-Economic Planning Sciences•2026

    The digital transformation and the subsequent datafication of work generate rich electronic traces that can be transformed into actionable insights through modern analytics. In this context, this study proposes a data-driven framework that leverages sidClustering and unsupervised Random Forest (RF) for clustering and feature selection, constructs composite indicators via multiple aggregation strategies, and employs visual tools to enhance the int…

  • Financial sustainability in the luxury industry across the Covid-19 pandemic

    Open Access•Fabio Demaria, Maddalena Cavicchioli•ARTICLE•Quality & Quantity•2025

  • Markov Switching Garch Models

    Maddalena Cavicchioli•ARTICLE•Journal of Business and Economic…•2022

    In this article, we derive neat matrix formulas in closed form for computing higher order moments and kurtosis of univariate Markov switching GARCH models. Then we provide asymptotic theory for sample estimators of higher order moments and kurtosis which can be used for testing normality. We also check our theory statements numerically via Monte Carlo simulations. Finally, we take advantage of our theoretical results to recognize different period…

  • Exploring differences of corporate social responsibility perceptions and expectations between eastern and western countries

    Open Access•Mario Minoja, Ulpiana Kocollari et al.•ARTICLE•International Journal of Cross…•2022•References: 6

    Cross-cultural differences and their effects on Corporate Social Responsibility (CSR) perceptions and expectations may be a source of risks and opportunities for managers of multinational or international companies. Moving from this assumption, this paper focuses on the relatively underdeveloped topic of CSR in Eastern European, post- Communist countries, with the aim to compare how CSR is perceived and affect consumers’ behaviours in Albania (EU…

No prominent works on this page.

  • Markov Switching Garch Models

    Maddalena Cavicchioli•ARTICLE•Journal of Business and Economic…•2022

    In this article, we derive neat matrix formulas in closed form for computing higher order moments and kurtosis of univariate Markov switching GARCH models. Then we provide asymptotic theory for sample estimators of higher order moments and kurtosis which can be used for testing normality. We also check our theory statements numerically via Monte Carlo simulations. Finally, we take advantage of our theoretical results to recognize different period…

  • Exploring differences of corporate social responsibility perceptions and expectations between eastern and western countries

    Open Access•Mario Minoja, Ulpiana Kocollari et al.•ARTICLE•International Journal of Cross…•2022•References: 6

    Cross-cultural differences and their effects on Corporate Social Responsibility (CSR) perceptions and expectations may be a source of risks and opportunities for managers of multinational or international companies. Moving from this assumption, this paper focuses on the relatively underdeveloped topic of CSR in Eastern European, post- Communist countries, with the aim to compare how CSR is perceived and affect consumers’ behaviours in Albania (EU…

  • Financial sustainability in the luxury industry across the Covid-19 pandemic

    Open Access•Fabio Demaria, Maddalena Cavicchioli•ARTICLE•Quality & Quantity•2025

  • Behind the screen

    Open Access•Fabio Demaria, A Papana Dagiasis et al.•ARTICLE•Socio-Economic Planning Sciences•2026

    The digital transformation and the subsequent datafication of work generate rich electronic traces that can be transformed into actionable insights through modern analytics. In this context, this study proposes a data-driven framework that leverages sidClustering and unsupervised Random Forest (RF) for clustering and feature selection, constructs composite indicators via multiple aggregation strategies, and employs visual tools to enhance the int…

Business (2 works) · Corporate Social Responsibility Reporting (2 works) · 2019-20 coronavirus outbreak (1 work) · Affect (linguistics (1 work) · Applied Mathematics (1 work) · Autoregressive conditional heteroskedasticity (1 work) · Complex Systems and Time Series Analysis (1 work) · Context (archaeology) (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · Corporate social responsibility (1 work)

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