Giovanni Mastroleo

Personal Details

First Name:	Giovanni
Middle Name:
Last Name:	Mastroleo
Suffix:
RePEc Short-ID:	pma2002
	http://www.economia.unisalento.it/scheda_personale/-/people/giovanni.mastroleo

Affiliation

Dipartimento di Scienze dell'Economia
Facoltà di Economia
Università del Salento

Lecce, Italy
http://www.dse.unisalento.it/
RePEc:edi:dslecit (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Magni, Carlo Alberto & Malagoli, Stefano & Marchioni, Andrea & Mastroleo, Giovanni, 2019. "Rating firms and sensitivity analysis," MPRA Paper 95265, University Library of Munich, Germany.
   • Carlo Alberto Magni & Stefano Malagoli & Andrea Marchioni & Giovanni Mastroleo, 2020. "Rating firms and sensitivity analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(12), pages 1940-1958, December.

   Cited by:

   1. Baschieri, Davide & Magni, Carlo Alberto & Marchioni, Andrea, 2020. "Comprehensive Financial Modeling of Solar PV Systems," MPRA Paper 103886, University Library of Munich, Germany.
   2. Tafuro, Alessandra & Dammacco, Giuseppe & Esposito, Paolo & Mastroleo, Giovanni, 2022. "Rethinking performance measurement models using a fuzzy logic system approach: a performative exploration on ownership in waste management," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
   3. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2022. "Impact of financing and payout policy on the economic profitability of solar photovoltaic plants," International Journal of Production Economics, Elsevier, vol. 244(C).
   4. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2023. "The Attribution Matrix and the joint use of Finite Change Sensitivity Index and Residual Income for value-based performance measurement," European Journal of Operational Research, Elsevier, vol. 306(2), pages 872-892.
   5. Carlo Alberto Magni & Andrea Marchioni, 2022. "Performance attribution, time-weighted rate of return, and clean finite change sensitivity index," Journal of Asset Management, Palgrave Macmillan, vol. 23(1), pages 62-72, February.
   6. P.-C.G. Vassiliou, 2020. "Non-Homogeneous Semi-Markov and Markov Renewal Processes and Change of Measure in Credit Risk," Mathematics, MDPI, vol. 9(1), pages 1-27, December.

2. Carlo Alberto Magni & Giovanni Mastroleo & Marina Vignola & Gisella Facchinetti, 2009. "Strategic options and expert systems: a fruitful marriage," Proyecciones Financieras y Valoración 6122, Master Consultores.

   Cited by:

   1. Carlo Alberto Magni & Stefano Malagoli & Giovanni Mastroleo, 2006. "An Alternative Approach To Firms' Evaluation: Expert Systems And Fuzzy Logic," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 195-225.
      • Magni, Carlo Alberto, 2004. "An alternative approach to firms’ evaluation: expert systems and fuzzy logic," MPRA Paper 7879, University Library of Munich, Germany.
   2. Tindara Addabbo & Maria Laura Di Tommaso & Gisella Facchinetti, 2004. "To what extent fuzzy set theory and structural equation modelling can measure functionings? An application to child well being," CHILD Working Papers wp30_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
   3. Magni, Carlo Alberto, 2007. "Investment decisions, equivalent risk and bounded rationality," MPRA Paper 6073, University Library of Munich, Germany.
   4. Carlo Alberto Magni & Stefano Malagoli & Andrea Marchioni & Giovanni Mastroleo, 2020. "Rating firms and sensitivity analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(12), pages 1940-1958, December.
      • Magni, Carlo Alberto & Malagoli, Stefano & Marchioni, Andrea & Mastroleo, Giovanni, 2019. "Rating firms and sensitivity analysis," MPRA Paper 95265, University Library of Munich, Germany.
   5. Magni, Carlo Alberto, 2007. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5646, University Library of Munich, Germany.
      • Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.
   6. Malagoli, Stefano & Mastroleo, Giovanni & Magni, Carlo Alberto, 2005. "The use of fuzzy logic and expert systems for rating and pricing firms: a new perspective on valuation," MPRA Paper 11958, University Library of Munich, Germany.

3. G. Mastroleo & G. Facchinetti & Carlo Alberto Magni, 2009. "A proposal for modeling real options through fuzzy expert system," Proyecciones Financieras y Valoración 5842, Master Consultores.

   Cited by:

   1. Antonín Korauš & Miroslav Gombár & Pavel Kelemen & Stanislav Backa, 2019. "Using quantitative methods to identify insecurity due to unusual business operations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(3), pages 1101-1112, March.

4. Tindara Addabbo & Gisella Facchinetti & Anna Maccagnan & Giovanni Mastroleo & Tommaso Pirotti, 2008. "The Interaction between Parents and Children as a Relevant Dimension of Child Well Being. The Case of Italy," Center for Economic Research (RECent) 015, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
   • Tindara Addabbo & Gisella Facchinetti & Anna Maccagnan & Tommaso Pirotti & Giovanni Mastroleo, 2008. "The interaction between parents and children as a relevant dimension of child well being. The case of Italy," Center for the Analysis of Public Policies (CAPP) 0050, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".

   Cited by:

   1. Anna Maccagnan, 2011. "Measuring the interaction between parents and children in Italian families: a structural equation approach," Center for the Analysis of Public Policies (CAPP) 0084, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
   2. Anna Maccagnan, 2011. "Measuring the interaction between parents and children in Italian families: a structural equation approach," Department of Economics 0645, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".

5. Malagoli, Stefano & Mastroleo, Giovanni & Magni, Carlo Alberto, 2005. "The use of fuzzy logic and expert systems for rating and pricing firms: a new perspective on valuation," MPRA Paper 11958, University Library of Munich, Germany.

   Cited by:

   1. Magni, Carlo Alberto, 2007. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5646, University Library of Munich, Germany.
      • Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.

Articles

1. Carlo Alberto Magni & Stefano Malagoli & Andrea Marchioni & Giovanni Mastroleo, 2020. "Rating firms and sensitivity analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(12), pages 1940-1958, December.
   • Magni, Carlo Alberto & Malagoli, Stefano & Marchioni, Andrea & Mastroleo, Giovanni, 2019. "Rating firms and sensitivity analysis," MPRA Paper 95265, University Library of Munich, Germany.
   See citations under working paper version above.
2. Simona Cosma & Giovanni Mastroleo & Paola Schwizer, 2018. "Assessing corporate governance quality: substance over form," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(2), pages 457-493, June.

   Cited by:

   1. Artem E. Anilov & Irina V. Ivashkovskaya, 2020. "Do boards of directors affect CEO behavior? Evidence from payout decisions," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(4), pages 989-1017, December.
   2. Francesca Gennari, 2019. "How to Lead the Board of Directors to a Sustainable Development of Business with the CSR Committees," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
   3. Veronica Tibiletti & Pier Luigi Marchini & Katia Furlotti & Alice Medioli, 2021. "Does corporate governance matter in corporate social responsibility disclosure? Evidence from Italy in the “era of sustainability”," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(2), pages 896-907, March.
   4. Tafuro, Alessandra & Dammacco, Giuseppe & Esposito, Paolo & Mastroleo, Giovanni, 2022. "Rethinking performance measurement models using a fuzzy logic system approach: a performative exploration on ownership in waste management," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
   5. Luciano Barcellos‐Paula & Carlos Agüero‐Olivos, 2022. "The strengthening of corporate governance based on applied fuzzy logic," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1736-1746, September.

3. Carlo Alberto Magni & Stefano Malagoli & Giovanni Mastroleo, 2006. "An Alternative Approach To Firms' Evaluation: Expert Systems And Fuzzy Logic," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 195-225.
   • Magni, Carlo Alberto, 2004. "An alternative approach to firms’ evaluation: expert systems and fuzzy logic," MPRA Paper 7879, University Library of Munich, Germany.

   Cited by:

   1. Magni, Carlo Alberto, 2007. "Investment decisions, equivalent risk and bounded rationality," MPRA Paper 6073, University Library of Munich, Germany.
   2. Carlo Alberto Magni & Stefano Malagoli & Andrea Marchioni & Giovanni Mastroleo, 2020. "Rating firms and sensitivity analysis," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(12), pages 1940-1958, December.
      • Magni, Carlo Alberto & Malagoli, Stefano & Marchioni, Andrea & Mastroleo, Giovanni, 2019. "Rating firms and sensitivity analysis," MPRA Paper 95265, University Library of Munich, Germany.
   3. Magni, Carlo Alberto, 2007. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5646, University Library of Munich, Germany.
      • Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.
   4. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 867-899, May.
   5. Simona Cosma & Giovanni Mastroleo & Paola Schwizer, 2018. "Assessing corporate governance quality: substance over form," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(2), pages 457-493, June.
   6. Tomasz Korol & Anestis Fotiadis, 2016. "Applying Fuzzy Logic of Expert Knowledge for Accurate Predictive Algorithms of Customer Traffic Flows in Theme Parks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1451-1468, November.
   7. Marc Sanchez-Roger & María Dolores Oliver-Alfonso & Carlos Sanchís-Pedregosa, 2019. "Fuzzy Logic and Its Uses in Finance: A Systematic Review Exploring Its Potential to Deal with Banking Crises," Mathematics, MDPI, vol. 7(11), pages 1-22, November.

4. Michelle Lalla & Gisella Facchinetti & Giovanni Mastroleo, 2005. "Ordinal scales and fuzzy set systems to measure agreement: An application to the evaluation of teaching activity," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(5), pages 577-601, January.

   Cited by:

   1. Bonaccolto-Töpfer, Marina & Castagnetti, Carolina, 2021. "The COVID-19 pandemic: A threat to higher education?," Discussion Papers 117, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
   2. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2016. "Intuitionistic fuzzy sets in questionnaire analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 767-790, March.
   3. Tindara Addabbo & Maria Laura Di Tommaso & Gisella Facchinetti, 2004. "To what extent fuzzy set theory and structural equation modelling can measure functionings? An application to child well being," CHILD Working Papers wp30_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
   4. Michele Lalla, 2017. "Fundamental characteristics and statistical analysis of ordinal variables: a review," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(1), pages 435-458, January.
   5. Vladimir Pajković & Mirjana Grdinić-Rakonjac, 2021. "Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
   6. Pierpaolo D’Urso & Livia Giovanni & Marta Disegna & Riccardo Massari & Vincenzina Vitale, 2021. "A Tourist Segmentation Based on Motivation, Satisfaction and Prior Knowledge with a Socio-Economic Profiling: A Clustering Approach with Mixed Information," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(1), pages 335-360, February.
   7. Silvana Bortolotti & Rafael Tezza & Dalton Andrade & Antonio Bornia & Afonso Sousa Júnior, 2013. "Relevance and advantages of using the item response theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2341-2360, June.
   8. Niccolò Cao & Antonio Calcagnì, 2022. "Jointly Modeling Rating Responses and Times with Fuzzy Numbers: An Application to Psychometric Data," Mathematics, MDPI, vol. 10(7), pages 1-11, March.
   9. Caterina, Liberati & Riccarda, Longaretti & Alessandra, Michelangeli, 2019. "Explaining and measuring tolerant behavior," Working Papers 400, University of Milano-Bicocca, Department of Economics, revised Jan 2019.
      • Caterina Liberati & Riccarda Longaretti & Alessandra Michelangeli, 2019. "Explaining and measuring tolerant behavior," Working Paper series 19-04, Rimini Centre for Economic Analysis.
   10. Amalia Vanacore & Maria Sole Pellegrino, 2019. "How Reliable are Students’ Evaluations of Teaching (SETs)? A Study to Test Student’s Reproducibility and Repeatability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 77-89, November.
   11. E. Nardo & R. Simone, 2019. "A model-based fuzzy analysis of questionnaires," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(2), pages 187-215, June.
   12. Mónica Martínez-Gómez & Jose Sierra & José Jabaloyes & Manuel Zarzo, 2011. "A multivariate method for analyzing and improving the use of student evaluation of teaching questionnaires: a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(6), pages 1415-1427, October.
   13. Qing Li, 2016. "Indirect membership function assignment based on ordinal regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(3), pages 441-460, March.
   14. Carmen Lozano & Cesaire Chiatchoua, 2022. "Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach," Sustainability, MDPI, vol. 14(11), pages 1-22, May.

5. Magni, C. A. & Mastroleo G. & Facchinetti, G., 2001. "A Fuzzy expert system for solving ReaL-Option decision processes," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 51-73, November.
   • Carlo Alberto Magni, 2009. "A fuzzy expert system for solving real-option decision processes," Proyecciones Financieras y Valoración 5677, Master Consultores.

   Cited by:

   1. Carlo Alberto Magni & Stefano Malagoli & Giovanni Mastroleo, 2006. "An Alternative Approach To Firms' Evaluation: Expert Systems And Fuzzy Logic," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 195-225.
      • Magni, Carlo Alberto, 2004. "An alternative approach to firms’ evaluation: expert systems and fuzzy logic," MPRA Paper 7879, University Library of Munich, Germany.
   2. Magni, Carlo Alberto, 2007. "Investment decisions, equivalent risk and bounded rationality," MPRA Paper 6073, University Library of Munich, Germany.
   3. Magni, Carlo Alberto, 2007. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5646, University Library of Munich, Germany.
      • Magni, Carlo Alberto, 2004. "Rating and ranking firms with fuzzy expert systems: the case of Camuzzi," MPRA Paper 5889, University Library of Munich, Germany.
   4. Malagoli, Stefano & Mastroleo, Giovanni & Magni, Carlo Alberto, 2005. "The use of fuzzy logic and expert systems for rating and pricing firms: a new perspective on valuation," MPRA Paper 11958, University Library of Munich, Germany.
   5. Kraemer, Christian & Madlener, Reinhard, 2009. "Using Fuzzy Real Options Valuation for Assessing Investments in NGCC and CCS Energy Conversion Technology," FCN Working Papers 3/2009, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-BEC: Business Economics (1) 2019-08-12
2. NEP-CFN: Corporate Finance (1) 2019-08-12
3. NEP-CMP: Computational Economics (1) 2019-08-12
4. NEP-HAP: Economics of Happiness (1) 2008-10-07
5. NEP-HEA: Health Economics (1) 2008-10-07
6. NEP-ORE: Operations Research (1) 2019-08-12
7. NEP-RMG: Risk Management (1) 2019-08-12

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