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Dr. Antonio Violi
Department of Law, Economics, Management and Quantitative Methods, Università degli Studi del Sannio, Via delle Puglie 82, 82100 Benevento, Italy

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Research Keywords & Expertise

0 Risk Management
0 Stochastic Programming
0 Decision Support Systems
0 Decision models for energy and financial markets
0 Optimization models for agri-food logistics

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Journal article
Published: 20 February 2021 in Sustainability
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It is widely recognized that the adoption of collaborative organization models in the agri-food sector can help farmers in rural areas to reach sustainable development goals. In any case, a holistic and coherent view of sustainability, organizational models and supporting technologies in the agri-food sector is still not present in the scientific literature. With this paper, we aim to fill this gap and to propose a framework that is useful to help scholars and practitioners in analyzing and designing sustainable Collaborative Networks in the agri-food sector

ACS Style

Salvatore Ammirato; Alberto Felicetti; Massimiliano Ferrara; Cinzia Raso; Antonio Violi. Collaborative Organization Models for Sustainable Development in the Agri-Food Sector. Sustainability 2021, 13, 2301 .

AMA Style

Salvatore Ammirato, Alberto Felicetti, Massimiliano Ferrara, Cinzia Raso, Antonio Violi. Collaborative Organization Models for Sustainable Development in the Agri-Food Sector. Sustainability. 2021; 13 (4):2301.

Chicago/Turabian Style

Salvatore Ammirato; Alberto Felicetti; Massimiliano Ferrara; Cinzia Raso; Antonio Violi. 2021. "Collaborative Organization Models for Sustainable Development in the Agri-Food Sector." Sustainability 13, no. 4: 2301.

Journal article
Published: 21 November 2020 in Energy Economics
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The paper deals with the energy procurement and economic management problem for an aggregation of prosumers at a strategic/tactical level. This decision process, usually in charge of the “aggregator”, the entity which coordinates market operations and resource management for the entire coalition, consists into the definition of the optimal mix of energy to procure from the available sources (bilateral contracts, self-production, day-ahead market) and the tariff scheme to offer to the members of the coalition for buying and selling energy. This problem is made more complex by the presence of several sources of uncertainty, like market prices, overall demand of the coalition and production from renewable systems. To the best of our knowledge, even if several contributions have been proposed to deal with the energy procurement and tariff definition problems separately, none of them has addressed the decision process as a whole. In this paper, we propose a multiperiod 2-stage stochastic programming approach, which models the strict relations between the decisions to be made and controls risk exposure by a mean-risk objective function with the Conditional Value at Risk as risk measure. Moreover, the proposed approach aims at defining 2-components tariffs, with a variable part that is related to the random evolution of market prices, in order to enhance prosumers' responsiveness. Preliminary computational results show the effectiveness of the proposed approach as a decision support tool to guarantee the economic sustainability of the coalition and the convenience of single prosumers.

ACS Style

Massimiliano Ferrara; Antonio Violi; Patrizia Beraldi; Gianluca Carrozzino; Tiziana Ciano. An integrated decision approach for energy procurement and tariff definition for prosumers aggregations. Energy Economics 2020, 97, 105034 .

AMA Style

Massimiliano Ferrara, Antonio Violi, Patrizia Beraldi, Gianluca Carrozzino, Tiziana Ciano. An integrated decision approach for energy procurement and tariff definition for prosumers aggregations. Energy Economics. 2020; 97 ():105034.

Chicago/Turabian Style

Massimiliano Ferrara; Antonio Violi; Patrizia Beraldi; Gianluca Carrozzino; Tiziana Ciano. 2020. "An integrated decision approach for energy procurement and tariff definition for prosumers aggregations." Energy Economics 97, no. : 105034.

Journal article
Published: 17 November 2020 in Sustainability
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Scholars from different perspectives agree that agritourism can be the right tool to balance the needs of tourists with those of rural communities, offering real opportunities for economic and social development, while mitigating undesirable impacts on the environment. This paper aims to provide a holistic outlook of the different perspectives under which scientific literature deals with the topic of agritourism as a means to support the sustainable development of rural areas. To reach this aim, we performed a systematic review of the scientific literature in order to point out the linkages between agritourism and sustainability. We analyzed papers through a text mining solution based on the Latent Dirichlet Allocation (LDA) technique to point out the main topics around which the scientific literature on agritourism and sustainability has grown. Topics are further categorized in themes by means of an agglomerative hierarchical clustering procedure. Results are further analyzed to highlight the strengths and weaknesses of the current streams of the literature.

ACS Style

Salvatore Ammirato; Alberto Felicetti; Cinzia Raso; Bruno Pansera; Antonio Violi. Agritourism and Sustainability: What We Can Learn from a Systematic Literature Review. Sustainability 2020, 12, 9575 .

AMA Style

Salvatore Ammirato, Alberto Felicetti, Cinzia Raso, Bruno Pansera, Antonio Violi. Agritourism and Sustainability: What We Can Learn from a Systematic Literature Review. Sustainability. 2020; 12 (22):9575.

Chicago/Turabian Style

Salvatore Ammirato; Alberto Felicetti; Cinzia Raso; Bruno Pansera; Antonio Violi. 2020. "Agritourism and Sustainability: What We Can Learn from a Systematic Literature Review." Sustainability 12, no. 22: 9575.

Article
Published: 06 October 2020 in Quality & Quantity
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In this work we describe a new Smart Tourism System called SMARTCAL, born during the development of a R&D project for supporting the tourism digitalisation, that includes the release of a pilot in Calabria (a region in the South of Italy). The project is a new initiative to support tourism and hospitality industry with a series of statistical tools for the decision makers, to provide digital and smart services for the tourists that want to build their itineraries with flexibility and to improve the valorisation of a particular territory from the economical and tourist point of view. Indeed, the system is designed by considering Points and Events of Interest (PEOI) and their relationship with the local transport systems, with the hospitality industries and with the policy makers. Two major tools are described in the following: a proactive tourist tour planner algorithm, proposed to generate optimised itineraries based on static and dynamic profiling of the users, and a sentiment analysis module that supports decision makers with a scorecard with a set of key indicators.

ACS Style

Annarita De Maio; Elisabetta Fersini; Enza Messina; Francesco Santoro; Antonio Violi. Exploiting social data for tourism management: the SMARTCAL project. Quality & Quantity 2020, 1 -13.

AMA Style

Annarita De Maio, Elisabetta Fersini, Enza Messina, Francesco Santoro, Antonio Violi. Exploiting social data for tourism management: the SMARTCAL project. Quality & Quantity. 2020; ():1-13.

Chicago/Turabian Style

Annarita De Maio; Elisabetta Fersini; Enza Messina; Francesco Santoro; Antonio Violi. 2020. "Exploiting social data for tourism management: the SMARTCAL project." Quality & Quantity , no. : 1-13.

Focus
Published: 12 November 2019 in Soft Computing
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In this paper, we propose a dynamic and stochastic approach for an inventory routing problem in which products with a high perishability must be delivered from a supplier to a set of customers. This problem falls within the agri-food supply chain (\({\mathcal {ASC}}\)) management field, which includes all the activities from production to distribution. The need for high-quality products that are subject to perishability is a critical issue to consider in the \({\mathcal {ASC}}\) optimization. Moreover, the demand uncertainty makes the problem very challenging. In order to effectively manage all these features, a rolling horizon approach based on a multistage stochastic linear program is proposed. Computational experiments over medium-size instances designed on the basis of the real data provided by an agri-food company operating in Southern Italy show the effectiveness of the proposed approach.

ACS Style

Antonio Violi; Demetrio Laganá; Rosario Paradiso. The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain. Soft Computing 2019, 24, 13725 -13740.

AMA Style

Antonio Violi, Demetrio Laganá, Rosario Paradiso. The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain. Soft Computing. 2019; 24 (18):13725-13740.

Chicago/Turabian Style

Antonio Violi; Demetrio Laganá; Rosario Paradiso. 2019. "The inventory routing problem under uncertainty with perishable products: an application in the agri-food supply chain." Soft Computing 24, no. 18: 13725-13740.

Journal article
Published: 08 April 2019 in Annals of Operations Research
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This paper deals with the problem of modelling complex transaction cost structures within portfolio management models in an efficient and effective way. We consider a general structure of transaction costs, where the applied commissions depend on the range of traded monetary amount and we use this general structure within a portfolio optimization problem with rebalancing decisions in response to new market conditions. The presence of transaction costs reduces the fund’s capital and should be properly accounted for to avoid substantial costs that impact on portfolio performance. In this paper we present a mixed integer model equipped with a specialized Branch and Bound method that exploits the specific formulation of the trading operations. Computational experiments, carried out on transaction cost structures offered by real-life traders, have shown the effectiveness of the proposed model and the computational efficiency of the solution approach.

ACS Style

Patrizia Beraldi; Antonio Violi; Massimiliano Ferrara; Claudio Ciancio; Bruno Antonio Pansera. Dealing with complex transaction costs in portfolio management. Annals of Operations Research 2019, 299, 7 -22.

AMA Style

Patrizia Beraldi, Antonio Violi, Massimiliano Ferrara, Claudio Ciancio, Bruno Antonio Pansera. Dealing with complex transaction costs in portfolio management. Annals of Operations Research. 2019; 299 (1):7-22.

Chicago/Turabian Style

Patrizia Beraldi; Antonio Violi; Massimiliano Ferrara; Claudio Ciancio; Bruno Antonio Pansera. 2019. "Dealing with complex transaction costs in portfolio management." Annals of Operations Research 299, no. 1: 7-22.