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Massimiliano Giacalone

Biographic Data

ID4263835
NAMEMassimiliano Giacalone
GIVEN NAMESMassimiliano
FAMILY NAMEGiacalone
SIGNATUREGIACALONE M
AFFILIATIONSUniversity of Campania "Luigi Vanvitelli"
ORCID0000-0002-4284-520X
VERIFIEDYes
TOTAL WORKS10
TOTAL CITATIONS6
WORKS AS AUTHOR10
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Environmental concern as a social indicator

    Open Access•Raffaele Fedele, Massimiliano Giacalone et al.•ARTICLE•Social Sciences & Humanities Open•2026

    Environmental concern represents a key social indicator shaping public support for sustainability policies and environmental governance. From a social indicators perspective, monitoring how environmental concern evolves over time and differs across territories is essential for understanding societal responses to environmental challenges. Using official survey statistics released by the Italian National Institute of Statistics (ISTAT), this study …

  • Nonparametric analysis of firm size and innovation intensity in Circular Economy adoption

    Open Access•Stefano Bonnini, Michela Borghesi et al.•ARTICLE•Quality & Quantity•2025

    The concept of Circular Economy (CE) is nowadays a much-discussed topic because the idea that a linear production system is no longer sustainable from an environmental point of view is taking hold. Some empirical studies have been published on the topic but there is a lack of literature about valid statistical approaches for testing complex hypotheses about CE. One of such interesting but complex hypotheses concerns the effect of companies’ size …

  • Top–down disaggregation of life expectancy up to municipal areas, using linear self-regressive spatial models

    Open Access•Vincenzo Basile, Stefano Cervellera et al.•ARTICLE•Quality & Quantity•2024

    The paper aims to analyse a statistical procedure for the definition of territorial indicators, such as the biometric function of life expectancy of citizens of a territory e 0 , applying a methodology of Top–Down spatial disaggregation, using census data from 2011 in Italy. Through spatial regressions with the methodology proposed in 1971 by Chow and Lin with the use of ISTAT elaborations of annual mortality tables, which are structured from the…

  • A three-level view of readiness models

    Open Access•Vincenzo Basile, M Tregua et al.•ARTICLE•Technology in Society•2024•Cited by: 1•References: 103

    Over the past ten years, business intelligence (BI) and data analytics (DA) have consistently increased their impact on information management and firms' strategies, as evidenced in decision-making processes. Moreover, using new tools in so-called digitalization has become a core element, and while it may help firms sustain their competitive advantage, it could also have multiple side effects. Therefore, this paper adopts a service ecosystem pers…

  • The Way Toward Growth

    Open Access•Massimiliano Giacalone, Rosario Turco et al.•ARTICLE•Social Indicators Research•2023•Cited by: 2

  • The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies

    Open Access•Vincenzo Basile, Massimiliano Giacalone et al.•ARTICLE•Review of European Studies•2022•References: 1

    In recent years, statistical methods such as bibliometrics have increasingly intensified to analyse books, articles, and other publications. Bibliometric methods, as techniques to measure the information distribution models, are frequently used in the field of information science and social research. The main purpose of this article is to offer scholars a general framework for the comparison between positive and negative aspects of bibliometrics,…

  • Big data for corporate social responsibility

    Open Access•Massimiliano Giacalone, Vito Santarcangelo et al.•ARTICLE•Quality & Quantity•2021

  • A combined method based on kurtosis indexes for estimating p in non-linear Lp-norm regression

    Open Access•Massimiliano Giacalone•ARTICLE•Sustainable Futures•2020

    The Generalized Error Distribution (G.E.D.) is a very flexible family of symmetric density distributions, which are characterized by their shape parameter p linked to the Lp-norm estimators. In fact, under this errors assumption in the regression model the G.E.D. parameter p coincides with the p exponent of the Lp-norm. In this paper, we examine the use of Lp-norm estimators in the framework of non-linear regression models assuming the G.E.D. as …

  • The Efficiency of the Italian Judicial System

    Open Access•Eugenia Nissi, Massimiliano Giacalone et al.•ARTICLE•Social Indicators Research•2019•Cited by: 3•References: 24

  • Evaluating the Judicial Activity

    Open Access•Carlo Cusatelli, Massimiliano Giacalone•ARTICLE•Social Indicators Research•2017•References: 5

  • The Efficiency of the Italian Judicial System

    Open Access•Eugenia Nissi, Massimiliano Giacalone et al.•ARTICLE•Social Indicators Research•2019•Cited by: 3•References: 24

  • The Way Toward Growth

    Open Access•Massimiliano Giacalone, Rosario Turco et al.•ARTICLE•Social Indicators Research•2023•Cited by: 2

  • A three-level view of readiness models

    Open Access•Vincenzo Basile, M Tregua et al.•ARTICLE•Technology in Society•2024•Cited by: 1•References: 103

    Over the past ten years, business intelligence (BI) and data analytics (DA) have consistently increased their impact on information management and firms' strategies, as evidenced in decision-making processes. Moreover, using new tools in so-called digitalization has become a core element, and while it may help firms sustain their competitive advantage, it could also have multiple side effects. Therefore, this paper adopts a service ecosystem pers…

  • Evaluating the Judicial Activity

    Open Access•Carlo Cusatelli, Massimiliano Giacalone•ARTICLE•Social Indicators Research•2017•References: 5

  • The Efficiency of the Italian Judicial System

    Open Access•Eugenia Nissi, Massimiliano Giacalone et al.•ARTICLE•Social Indicators Research•2019•Cited by: 3•References: 24

  • A combined method based on kurtosis indexes for estimating p in non-linear Lp-norm regression

    Open Access•Massimiliano Giacalone•ARTICLE•Sustainable Futures•2020

    The Generalized Error Distribution (G.E.D.) is a very flexible family of symmetric density distributions, which are characterized by their shape parameter p linked to the Lp-norm estimators. In fact, under this errors assumption in the regression model the G.E.D. parameter p coincides with the p exponent of the Lp-norm. In this paper, we examine the use of Lp-norm estimators in the framework of non-linear regression models assuming the G.E.D. as …

  • Big data for corporate social responsibility

    Open Access•Massimiliano Giacalone, Vito Santarcangelo et al.•ARTICLE•Quality & Quantity•2021

  • The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies

    Open Access•Vincenzo Basile, Massimiliano Giacalone et al.•ARTICLE•Review of European Studies•2022•References: 1

    In recent years, statistical methods such as bibliometrics have increasingly intensified to analyse books, articles, and other publications. Bibliometric methods, as techniques to measure the information distribution models, are frequently used in the field of information science and social research. The main purpose of this article is to offer scholars a general framework for the comparison between positive and negative aspects of bibliometrics,…

  • The Way Toward Growth

    Open Access•Massimiliano Giacalone, Rosario Turco et al.•ARTICLE•Social Indicators Research•2023•Cited by: 2

  • Top–down disaggregation of life expectancy up to municipal areas, using linear self-regressive spatial models

    Open Access•Vincenzo Basile, Stefano Cervellera et al.•ARTICLE•Quality & Quantity•2024

    The paper aims to analyse a statistical procedure for the definition of territorial indicators, such as the biometric function of life expectancy of citizens of a territory e 0 , applying a methodology of Top–Down spatial disaggregation, using census data from 2011 in Italy. Through spatial regressions with the methodology proposed in 1971 by Chow and Lin with the use of ISTAT elaborations of annual mortality tables, which are structured from the…

  • A three-level view of readiness models

    Open Access•Vincenzo Basile, M Tregua et al.•ARTICLE•Technology in Society•2024•Cited by: 1•References: 103

    Over the past ten years, business intelligence (BI) and data analytics (DA) have consistently increased their impact on information management and firms' strategies, as evidenced in decision-making processes. Moreover, using new tools in so-called digitalization has become a core element, and while it may help firms sustain their competitive advantage, it could also have multiple side effects. Therefore, this paper adopts a service ecosystem pers…

  • Nonparametric analysis of firm size and innovation intensity in Circular Economy adoption

    Open Access•Stefano Bonnini, Michela Borghesi et al.•ARTICLE•Quality & Quantity•2025

    The concept of Circular Economy (CE) is nowadays a much-discussed topic because the idea that a linear production system is no longer sustainable from an environmental point of view is taking hold. Some empirical studies have been published on the topic but there is a lack of literature about valid statistical approaches for testing complex hypotheses about CE. One of such interesting but complex hypotheses concerns the effect of companies’ size …

  • Environmental concern as a social indicator

    Open Access•Raffaele Fedele, Massimiliano Giacalone et al.•ARTICLE•Social Sciences & Humanities Open•2026

    Environmental concern represents a key social indicator shaping public support for sustainability policies and environmental governance. From a social indicators perspective, monitoring how environmental concern evolves over time and differs across territories is essential for understanding societal responses to environmental challenges. Using official survey statistics released by the Italian National Institute of Statistics (ISTAT), this study …

Economics (6 works) · Mathematics (6 works) · Computer Science (5 works) · Econometrics (4 works) · Sociology (4 works) · Statistics (4 works) · Demography (3 works) · Human geography (3 works) · Business (2 works) · Demography (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae