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Greta Falavigna
CNR-IRCRES, Research Institute on Sustainable Economic Growth, Italian National Research Council, 10024 Moncalieri, Italy

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Journal article
Published: 06 August 2021 in Sustainability
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This paper describes a research project, carried out in an Italian public school, to assess whether parents were willing to take part in food procurement decisions, as well as their ability to accurately predict what foods children would pick at school lunch and their propensity to support sustainable food choices made by the school. The methodology included a questionnaire, issued to 500 parents, and an in-depth study of 138 child/parent pairs. The study comprised: (i) presentation of an innovative recipe in the weekly menu of the school canteen; (ii) meal observations of children’s intake at school lunch during the week of the menu modification; (iii) collection of both parents’ and children’s reports on their choices of recipes from the modified weekly menu. The results are commented in light of two important changes that have recently affected Italian public school food procurement: the opening of school canteens to lunches brought from home and the measures adopted since 2020 to contain the COVID-19 pandemic. Both events go in the direction of delegating to parents the multifaceted role of the school in the food arena. The article concludes that the results of the study should discourage this approach.

ACS Style

Elena Pagliarino; Elena Santanera; Greta Falavigna. Opportunities for and Limits to Cooperation between School and Families in Sustainable Public Food Procurement. Sustainability 2021, 13, 8808 .

AMA Style

Elena Pagliarino, Elena Santanera, Greta Falavigna. Opportunities for and Limits to Cooperation between School and Families in Sustainable Public Food Procurement. Sustainability. 2021; 13 (16):8808.

Chicago/Turabian Style

Elena Pagliarino; Elena Santanera; Greta Falavigna. 2021. "Opportunities for and Limits to Cooperation between School and Families in Sustainable Public Food Procurement." Sustainability 13, no. 16: 8808.

Im commentary
Published: 13 April 2021 in Internal and Emergency Medicine
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Greta Falavigna. Deep learning algorithms with mixed data for prediction of Length of Stay. Internal and Emergency Medicine 2021, 16, 1427 -1428.

AMA Style

Greta Falavigna. Deep learning algorithms with mixed data for prediction of Length of Stay. Internal and Emergency Medicine. 2021; 16 (6):1427-1428.

Chicago/Turabian Style

Greta Falavigna. 2021. "Deep learning algorithms with mixed data for prediction of Length of Stay." Internal and Emergency Medicine 16, no. 6: 1427-1428.

Journal article
Published: 13 April 2021
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Greta Falavigna. Deep learning algorithms with mixed data for prediction of Length of Stay. 2021, 1 .

AMA Style

Greta Falavigna. Deep learning algorithms with mixed data for prediction of Length of Stay. . 2021; ():1.

Chicago/Turabian Style

Greta Falavigna. 2021. "Deep learning algorithms with mixed data for prediction of Length of Stay." , no. : 1.

Book chapter
Published: 24 November 2020 in Osservatorio sulla componentistica automotive italiana 2018
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Giuseppe Giulio Calabrese; Greta Falavigna. 7 • La situazione economico-finanziaria della componentistica automotive italiana. Osservatorio sulla componentistica automotive italiana 2018 2020, 1 .

AMA Style

Giuseppe Giulio Calabrese, Greta Falavigna. 7 • La situazione economico-finanziaria della componentistica automotive italiana. Osservatorio sulla componentistica automotive italiana 2018. 2020; ():1.

Chicago/Turabian Style

Giuseppe Giulio Calabrese; Greta Falavigna. 2020. "7 • La situazione economico-finanziaria della componentistica automotive italiana." Osservatorio sulla componentistica automotive italiana 2018 , no. : 1.

Journal article
Published: 03 July 2020 in Journal of Business Economics and Management
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This work aims to shed new light on the relation between institutional performance and firm dynamics. Considering the Italian manufacturing industry and a panel of 3 years, the authors investigate the relation between the time needed by courts to enforce debtors’ obligations and the time needed by enterprises to repay their debts. In particular, we test the hypothesis that efficiency in settling mortgage foreclosure and bankruptcy cases can affect the creditors’ decision making on judicial disputes. According to our thesis, inordinately long waiting times to enforce credit rights may increase the contractual strength of debtors, further delaying payments. As shown by our results, there is a statistically significant positive relation between the enforcement of debtors’ obligations and the adopted payment index, confirming the key role of the judiciary in the dynamics of firms. Indeed, if the time needed to settle bankruptcy cases decreases by 25%, we can expect the payment index to decrease by 1%; while, focusing on foreclosure cases, we can expect the payment index to decrease by 2%. The policy implications of these results are rather compelling. Policy makers could reform foreclosure and bankruptcy procedures to support national economic growth, without additional burden on the public budget.

ACS Style

Greta Falavigna; Roberto Ippoliti. THE IMPACT OF INSTITUTIONAL PERFORMANCE ON PAYMENT DYNAMICS: EVIDENCE FROM THE ITALIAN MANUFACTURING INDUSTRY. Journal of Business Economics and Management 2020, 21, 1285 -1306.

AMA Style

Greta Falavigna, Roberto Ippoliti. THE IMPACT OF INSTITUTIONAL PERFORMANCE ON PAYMENT DYNAMICS: EVIDENCE FROM THE ITALIAN MANUFACTURING INDUSTRY. Journal of Business Economics and Management. 2020; 21 (5):1285-1306.

Chicago/Turabian Style

Greta Falavigna; Roberto Ippoliti. 2020. "THE IMPACT OF INSTITUTIONAL PERFORMANCE ON PAYMENT DYNAMICS: EVIDENCE FROM THE ITALIAN MANUFACTURING INDUSTRY." Journal of Business Economics and Management 21, no. 5: 1285-1306.

Im commentary
Published: 15 February 2020 in Internal and Emergency Medicine
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Bacchi S, Gluck S, Tan Y, Chim I, Cheng J, Gilbert T, Menon DK, Jannes J, Kleinig T, Koblar S (2020) Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Intern Emerg Med 1:1–7 Casagranda I, Costantino G, Falavigna G, Furlan R, Ippoliti R (2016) Artificial neural networks and risk stratification models in Emergency Departments: the policy maker's perspective. Health Policy 120(1):111–119 Falavigna G, Costantino G, Furlan R, Quinn JV, Ungar A, Ippoliti R (2019) Artificial neural networks and risk stratification in emergency departments. Intern Emerg Med 14(2):291–299 Costantino G, Falavigna G, Solbiati M, Casagranda I, Sun BC, Grossman SA, Quinn JV, Reed MJ, Ungar A, Montano N, Furlan R (2016) Neural networks as a tool to predict syncope risk in the Emergency Department. Ep Europace 19(11):1891–1895 Siegenfeld AF, Bar-Yam Y (2019) An introduction to complex systems science and its applications. arXiv preprint https://arxiv.org/1912.05088 Žižka J, Dařena F, Svoboda A (2020) Text mining with machine learning. CRC Press, Boca Raton https://doi.org/10.1201/9780429469275 Download references Correspondence to Greta Falavigna. The authors declare that they have no conflict of interest. This is a commentary on a paper for which Ethics approval was granted for this project by the Central Adelaide Local Health Network Research Ethics Committee (HREC/19/CALHN/209). This is a commentary on a paper for which a waiver of consent was acquired from the Ethics Committee. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Reprints and Permissions Falavigna, G. Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Intern Emerg Med (2020). https://doi.org/10.1007/s11739-020-02291-6 Download citation Received: 28 January 2020 Accepted: 30 January 2020 Published: 15 February 2020 DOI: https://doi.org/10.1007/s11739-020-02291-6

ACS Style

Greta Falavigna. Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Internal and Emergency Medicine 2020, 15, 917 -918.

AMA Style

Greta Falavigna. Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study. Internal and Emergency Medicine. 2020; 15 (6):917-918.

Chicago/Turabian Style

Greta Falavigna. 2020. "Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study." Internal and Emergency Medicine 15, no. 6: 917-918.

Article
Published: 25 October 2018 in Journal of Industrial and Business Economics
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Considering the Italian manufacturing industry (more than 100,000 enterprises) and a panel of 6 years (from 2005 to 2010), we investigate the relation between the time necessary to define a bankruptcy case and the concentration of enterprises with good financial health. In particular, recalling the seminal work of Modigliani and Miller (Am Econ Rev 48(3):261–297, 1958), we test the hypothesis that the enforcement of creditors’ rights can affect managers’ strategies, and the related risks. According to results, judicial delay can affect the industrial spatial dynamics and regional development, confirming the key role of judiciary. Indeed, we identify a statistically significant relation between the time necessary to enforce creditors’ rights and the concentration of healthy enterprises for several manufacturing industrial sectors. The policy implications of this work concern the opportunity of reforming the national bankruptcy law and courts’ organization to support the national economic growth.

ACS Style

Greta Falavigna; Roberto Ippoliti. Industrial spatial dynamics, financial health and bankruptcy: evidence from Italian manufacturing industry. Journal of Industrial and Business Economics 2018, 45, 533 -554.

AMA Style

Greta Falavigna, Roberto Ippoliti. Industrial spatial dynamics, financial health and bankruptcy: evidence from Italian manufacturing industry. Journal of Industrial and Business Economics. 2018; 45 (4):533-554.

Chicago/Turabian Style

Greta Falavigna; Roberto Ippoliti. 2018. "Industrial spatial dynamics, financial health and bankruptcy: evidence from Italian manufacturing industry." Journal of Industrial and Business Economics 45, no. 4: 533-554.

Em original
Published: 23 October 2018 in Internal and Emergency Medicine
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Emergency departments are characterized by the need for quick diagnosis under pressure. To select the most appropriate treatment, a series of rules to support decision-making has been offered by scientific societies. The effectiveness of these rules affects the appropriateness of treatment and the hospitalization of patients. Analyzing a sample of 1844 patients and focusing on the decision to hospitalize a patient after a syncope event to prevent severe short-term outcomes, this work proposes a new algorithm based on neural networks. Artificial neural networks are a non-parametric technique with the well-known ability to generalize behaviors, and they can thus predict severe short-term outcomes with pre-selected levels of sensitivity and specificity. This innovative technique can outperform the traditional models, since it does not require a specific functional form, i.e., the data are not supposed to be distributed following a specific design. Based on our results, the innovative model can predict hospitalization with a sensitivity of 100% and a specificity of 79%, significantly increasing the appropriateness of medical treatment and, as a result, hospital efficiency. According to Garson’s Indexes, the most significant variables are exertion, the absence of symptoms, and the patient’s gender. On the contrary, cardio-vascular history, hypertension, and age have the lowest impact on the determination of the subject’s health status. The main application of this new technology is the adoption of smart solutions (e.g., a mobile app) to customize the stratification of patients admitted to emergency departments (ED)s after a syncope event. Indeed, the adoption of these smart solutions gives the opportunity to customize risk stratification according to the specific clinical case (i.e., the patient’s health status) and the physician’s decision-making process (i.e., the desired levels of sensitivity and specificity). Moreover, a decision-making process based on these smart solutions might ensure a more effective use of available resources, improving the management of syncope patients and reducing the cost of inappropriate treatment and hospitalization.

ACS Style

Greta Falavigna; Giorgio Costantino; Raffaello Furlan; James V. Quinn; Andrea Ungar; Roberto Ippoliti. Artificial neural networks and risk stratification in emergency departments. Internal and Emergency Medicine 2018, 14, 291 -299.

AMA Style

Greta Falavigna, Giorgio Costantino, Raffaello Furlan, James V. Quinn, Andrea Ungar, Roberto Ippoliti. Artificial neural networks and risk stratification in emergency departments. Internal and Emergency Medicine. 2018; 14 (2):291-299.

Chicago/Turabian Style

Greta Falavigna; Giorgio Costantino; Raffaello Furlan; James V. Quinn; Andrea Ungar; Roberto Ippoliti. 2018. "Artificial neural networks and risk stratification in emergency departments." Internal and Emergency Medicine 14, no. 2: 291-299.

Journal article
Published: 01 March 2017 in Hospital Practices and Research
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Background: Clinical research is a specific phase of the production process in the pharmaceutical industry in which companies test candidate drugs on patients in order to collect clinical evidence about safety and effectiveness.Objective: This paper is an operational research which aimed to support the hypothesis that pharmaceutical clinical research is like any other production process which could be localized where the cost is most competitive. In other words, this work aimed to demonstrate that the localization process of this specific phase of the pharmaceutical industry’s R&D is based on the price of clinical evidence.Methods: Considering Europe and taking panel data into account, an efficiency frontier through data envelopment analysis (DEA) was estimated. The efficiency of countries in maximizing the number of innovative medical treatments, given their available resources was estimated. Afterwards, focusing on European macro-regions, authors analyzed whether a significant concentration of clinical research exists.Results: Results suggest that, taking the expected principal investigators’ fee into account, Southeastern Europe and Central Eastern Europe are the most attractive macro-regions for the pharmaceutical industry’s foreign direct investments in clinical research.Conclusion: The results of the proposed operational research cannot reject the suggested evolution of the pharmaceutical industry’s clinical research. In other words, results confirm the localization process of the testing phase in East Europe, where the expected principal investigators’ fee is more competitive.

ACS Style

Greta Falavigna; Roberto Ippoliti. The Localization of Pharmaceutical Clinical Research in Europe. Hospital Practices and Research 2017, 2, 29 -35.

AMA Style

Greta Falavigna, Roberto Ippoliti. The Localization of Pharmaceutical Clinical Research in Europe. Hospital Practices and Research. 2017; 2 (2):29-35.

Chicago/Turabian Style

Greta Falavigna; Roberto Ippoliti. 2017. "The Localization of Pharmaceutical Clinical Research in Europe." Hospital Practices and Research 2, no. 2: 29-35.

Journal article
Published: 12 December 2015 in Health Policy
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The primary goal of Emergency Department (ED) physicians is to discriminate between individuals at low risk, who can be safely discharged, and patients at high risk, who require prompt hospitalization. The problem of correctly classifying patients is an issue involving not only clinical but also managerial aspects, since reducing the rate of admission of patients to EDs could dramatically cut costs. Nevertheless, a trade-off might arise due to the need to find a balance between economic interests and the health conditions of patients. This work considers patients in EDs after a syncope event and presents a comparative analysis between two models: a multivariate logistic regression model, as proposed by the scientific community to stratify the expected risk of severe outcomes in the short and long run, and Artificial Neural Networks (ANNs), an innovative model. The analysis highlights differences in correct classification of severe outcomes at 10 days (98.30% vs. 94.07%) and 1 year (97.67% vs. 96.40%), pointing to the superiority of Neural Networks. According to the results, there is also a significant superiority of ANNs in terms of false negatives both at 10 days (3.70% vs. 5.93%) and at 1 year (2.33% vs. 10.07%). However, considering the false positives, the adoption of ANNs would cause an increase in hospital costs, highlighting the potential trade-off which policy makers might face.

ACS Style

Ivo Casagranda; Giorgio Costantino; Greta Falavigna; Raffaello Furlan; Roberto Ippoliti. Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective. Health Policy 2015, 120, 111 -119.

AMA Style

Ivo Casagranda, Giorgio Costantino, Greta Falavigna, Raffaello Furlan, Roberto Ippoliti. Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective. Health Policy. 2015; 120 (1):111-119.

Chicago/Turabian Style

Ivo Casagranda; Giorgio Costantino; Greta Falavigna; Raffaello Furlan; Roberto Ippoliti. 2015. "Artificial Neural Networks and risk stratification models in Emergency Departments: The policy maker's perspective." Health Policy 120, no. 1: 111-119.

Consensus development conference
Published: 04 August 2015 in European Heart Journal
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The optimal emergency department (ED) evaluation of syncope is uncertain. Research reports from multiple countries suggest extensive practice variation, high costs, and questionable benefit associated with current approaches.1–5 Moreover, only a few of the recommendations from international syncope guidelines deal with ED management.6–8 For example, the European Society of Cardiology guidelines, which are the most inclusive syncope guidelines, do not address the ED management. This could be due to limited evidence on how to stratify the risk and decide on disposition of these patients in the ED.1,9

ACS Style

Giorgio Costantino; Benjamin C. Sun; Franca Barbic; Ilaria Bossi; Giovanni Casazza; Franca Dipaola; Daniel McDermott; James Quinn; Matthew J. Reed; Robert S. Sheldon; Monica Solbiati; Venkatesh Thiruganasambandamoorthy; Daniel Beach; Nicolai Bodemer; Michele Brignole; Ivo Casagranda; Attilio Del Rosso; Piergiorgio Duca; Greta Falavigna; Shamai A. Grossman; Roberto Ippoliti; Andrew D. Krahn; Nicola Montano; Carlos A. Morillo; Brian Olshansky; Satish R. Raj; Martin H. Ruwald; Francois P. Sarasin; Win-Kuang Shen; Ian Stiell; Andrea Ungar; J. Gert van Dijk; Nynke van Dijk; Wouter Wieling; Raffaello Furlan. Syncope clinical management in the emergency department: a consensus from the first international workshop on syncope risk stratification in the emergency department. European Heart Journal 2015, 37, 1493 -1498.

AMA Style

Giorgio Costantino, Benjamin C. Sun, Franca Barbic, Ilaria Bossi, Giovanni Casazza, Franca Dipaola, Daniel McDermott, James Quinn, Matthew J. Reed, Robert S. Sheldon, Monica Solbiati, Venkatesh Thiruganasambandamoorthy, Daniel Beach, Nicolai Bodemer, Michele Brignole, Ivo Casagranda, Attilio Del Rosso, Piergiorgio Duca, Greta Falavigna, Shamai A. Grossman, Roberto Ippoliti, Andrew D. Krahn, Nicola Montano, Carlos A. Morillo, Brian Olshansky, Satish R. Raj, Martin H. Ruwald, Francois P. Sarasin, Win-Kuang Shen, Ian Stiell, Andrea Ungar, J. Gert van Dijk, Nynke van Dijk, Wouter Wieling, Raffaello Furlan. Syncope clinical management in the emergency department: a consensus from the first international workshop on syncope risk stratification in the emergency department. European Heart Journal. 2015; 37 (19):1493-1498.

Chicago/Turabian Style

Giorgio Costantino; Benjamin C. Sun; Franca Barbic; Ilaria Bossi; Giovanni Casazza; Franca Dipaola; Daniel McDermott; James Quinn; Matthew J. Reed; Robert S. Sheldon; Monica Solbiati; Venkatesh Thiruganasambandamoorthy; Daniel Beach; Nicolai Bodemer; Michele Brignole; Ivo Casagranda; Attilio Del Rosso; Piergiorgio Duca; Greta Falavigna; Shamai A. Grossman; Roberto Ippoliti; Andrew D. Krahn; Nicola Montano; Carlos A. Morillo; Brian Olshansky; Satish R. Raj; Martin H. Ruwald; Francois P. Sarasin; Win-Kuang Shen; Ian Stiell; Andrea Ungar; J. Gert van Dijk; Nynke van Dijk; Wouter Wieling; Raffaello Furlan. 2015. "Syncope clinical management in the emergency department: a consensus from the first international workshop on syncope risk stratification in the emergency department." European Heart Journal 37, no. 19: 1493-1498.

Chapter
Published: 24 June 2015 in Advances in Logistics, Operations, and Management Science
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This chapter aims at evaluating the effect of Italian regional policies in the agricultural field. Performances of regional systems have been evaluated through an extension of Data Envelopment Analysis (DEA), the Directional Distance Function (DDF), which allows one to consider emissions of ammonia as undesirable output. Productivity and efficiency of agricultural systems are based not only on agri-production but also on the contraction of emissions deriving from the fertilizer's usage. Results show that a convergence path between productivity and public funds exists and that there are differences among Italian macro-areas considering both efficiency and productivity dynamics. In particular, if efficiency scores are interpreted with the amount of public funds distributed by the Rural Development Programs over the period 2000-2006, empirical evidence suggests that more resources are received by disadvantaged areas. Findings underline that the most disadvantaged areas, in terms of productivity, are those receiving more structural public funds.

ACS Style

Greta Falavigna; Alessandro Manello; Sara Pavone. Productivity and Public Funds. Advances in Logistics, Operations, and Management Science 2015, 467 -485.

AMA Style

Greta Falavigna, Alessandro Manello, Sara Pavone. Productivity and Public Funds. Advances in Logistics, Operations, and Management Science. 2015; ():467-485.

Chicago/Turabian Style

Greta Falavigna; Alessandro Manello; Sara Pavone. 2015. "Productivity and Public Funds." Advances in Logistics, Operations, and Management Science , no. : 467-485.

Journal article
Published: 01 January 2015 in European Journal of Operational Research
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ACS Style

Greta Falavigna; Roberto Ippoliti; Alessandro Manello; Giovanni B. Ramello. Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach. European Journal of Operational Research 2015, 240, 592 -601.

AMA Style

Greta Falavigna, Roberto Ippoliti, Alessandro Manello, Giovanni B. Ramello. Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach. European Journal of Operational Research. 2015; 240 (2):592-601.

Chicago/Turabian Style

Greta Falavigna; Roberto Ippoliti; Alessandro Manello; Giovanni B. Ramello. 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach." European Journal of Operational Research 240, no. 2: 592-601.

Consensus development conference
Published: 01 December 2014 in Annals of Emergency Medicine
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Study objectivesThere is limited evidence to guide the emergency department (ED) evaluation and management of syncope. The First International Workshop on Syncope Risk Stratification in the Emergency Department identified key research questions and methodological standards essential to advancing the science of ED-based syncope research.MethodsWe recruited a multinational panel of syncope experts. A preconference survey identified research priorities, which were refined during and after the conference through an iterative review process.ResultsThere were 31 participants from 7 countries who represented 10 clinical and methodological specialties. High-priority research recommendations were organized around a conceptual model of ED decisionmaking for syncope, and they address definition, cohort selection, risk stratification, and management.ConclusionWe convened a multispecialty group of syncope experts to identify the most pressing knowledge gaps and defined a high-priority research agenda to improve the care of patients with syncope in the ED

ACS Style

Benjamin C. Sun; Giorgio Costantino; Franca Barbic; Ilaria Bossi; Giovanni Casazza; Franca Dipaola; Daniel McDermott; James Quinn; Matthew Reed; Robert S. Sheldon; Monica Solbiati; Venkatesh Thiruganasambandamoorthy; Andrew D. Krahn; Daniel Beach; Nicolai Bodemer; Michele Brignole; Ivo Casagranda; Piergiorgio Duca; Greta Falavigna; Roberto Ippoliti; Nicola Montano; Brian Olshansky; Satish R. Raj; Martin H. Ruwald; Win-Kuang Shen; Ian Stiell; Andrea Ungar; J. Gert van Dijk; Nynke van Dijk; Wouter Wieling; Raffaello Furlan. Priorities for Emergency Department Syncope Research. Annals of Emergency Medicine 2014, 64, 649 -655.e2.

AMA Style

Benjamin C. Sun, Giorgio Costantino, Franca Barbic, Ilaria Bossi, Giovanni Casazza, Franca Dipaola, Daniel McDermott, James Quinn, Matthew Reed, Robert S. Sheldon, Monica Solbiati, Venkatesh Thiruganasambandamoorthy, Andrew D. Krahn, Daniel Beach, Nicolai Bodemer, Michele Brignole, Ivo Casagranda, Piergiorgio Duca, Greta Falavigna, Roberto Ippoliti, Nicola Montano, Brian Olshansky, Satish R. Raj, Martin H. Ruwald, Win-Kuang Shen, Ian Stiell, Andrea Ungar, J. Gert van Dijk, Nynke van Dijk, Wouter Wieling, Raffaello Furlan. Priorities for Emergency Department Syncope Research. Annals of Emergency Medicine. 2014; 64 (6):649-655.e2.

Chicago/Turabian Style

Benjamin C. Sun; Giorgio Costantino; Franca Barbic; Ilaria Bossi; Giovanni Casazza; Franca Dipaola; Daniel McDermott; James Quinn; Matthew Reed; Robert S. Sheldon; Monica Solbiati; Venkatesh Thiruganasambandamoorthy; Andrew D. Krahn; Daniel Beach; Nicolai Bodemer; Michele Brignole; Ivo Casagranda; Piergiorgio Duca; Greta Falavigna; Roberto Ippoliti; Nicola Montano; Brian Olshansky; Satish R. Raj; Martin H. Ruwald; Win-Kuang Shen; Ian Stiell; Andrea Ungar; J. Gert van Dijk; Nynke van Dijk; Wouter Wieling; Raffaello Furlan. 2014. "Priorities for Emergency Department Syncope Research." Annals of Emergency Medicine 64, no. 6: 649-655.e2.

Journal article
Published: 23 September 2014 in Scientometrics
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The scientific problem of this study is the analysis of the portfolio of outputs by public research labs in the presence of hybrid funding scheme based on public and market-oriented financing mechanisms. Research institutes are considered Decision Making Units, which produce two different kinds of scientific outputs using inputs. We consider some scientific outputs with more international visibility (High Visibility Outputs-HVOs) than others called Low Visibility Outputs (LVOs). We confront this problem by a scientometric approach applying models of the Directional Output Distance Function, which endeavours to measure and analyze the effects of hybrid financing of public research labs in terms of potential loss in high quality scientific outputs, in particular when the share of market-oriented funds is beyond a specific threshold. Results, considering R&D organizations of “hard sciences”, seem to show that a hybrid financing scheme, too market-oriented for supporting operation (and survival) of research labs, tends to affect scientific output portfolio by lowering scientific performances and HVOs. The study here also proposes a preliminary analysis of the optimal level of market financing in relation to total financial resources for a fruitful co-existence of market and public funding scheme to maximize the scientific output (publications) of R&D labs. The findings show main differences across scientific departments and some critical weaknesses points and threats by public research labs for production of scientific outputs.

ACS Style

Mario Coccia; Greta Falavigna; Alessandro Manello. The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis. Scientometrics 2014, 102, 151 -168.

AMA Style

Mario Coccia, Greta Falavigna, Alessandro Manello. The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis. Scientometrics. 2014; 102 (1):151-168.

Chicago/Turabian Style

Mario Coccia; Greta Falavigna; Alessandro Manello. 2014. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis." Scientometrics 102, no. 1: 151-168.

Preprint
Published: 01 January 2014
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: The main objective of this paper is to provide a concise overview of the fisheries and aquaculture industries at European and Italian level. The European Commission has recently highlighted the necessity to evaluate the performance of these sectors due to the decline of fish stocks. For this reason, strict rules oblige the Member States to manage fish stocks safeguarding natural resources and, at the same time, the productivity of the industry. The present study aims at providing not only a comprehensive analysis but also at offering remarks and observations helpful to understand the role of this economic activity in Italy and Europe.Length: 24 pages Keywords : fishery, aquaculture, public policies

ACS Style

Monica Cariola; Greta Falavigna; Elena Pagliarino; Sara Pavone. Il sistema pesca: Italia e Europa a confronto [The fishery sector: a comparison between Italy and Europe]. 2014, 1 .

AMA Style

Monica Cariola, Greta Falavigna, Elena Pagliarino, Sara Pavone. Il sistema pesca: Italia e Europa a confronto [The fishery sector: a comparison between Italy and Europe]. . 2014; ():1.

Chicago/Turabian Style

Monica Cariola; Greta Falavigna; Elena Pagliarino; Sara Pavone. 2014. "Il sistema pesca: Italia e Europa a confronto [The fishery sector: a comparison between Italy and Europe]." , no. : 1.

Journal article
Published: 04 December 2013 in Research Evaluation
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ACS Style

Greta Falavigna; Alessandro Manello. External funding, efficiency and productivity growth in public research: the case of the Italian National Research Council. Research Evaluation 2013, 23, 33 -47.

AMA Style

Greta Falavigna, Alessandro Manello. External funding, efficiency and productivity growth in public research: the case of the Italian National Research Council. Research Evaluation. 2013; 23 (1):33-47.

Chicago/Turabian Style

Greta Falavigna; Alessandro Manello. 2013. "External funding, efficiency and productivity growth in public research: the case of the Italian National Research Council." Research Evaluation 23, no. 1: 33-47.

Journal article
Published: 31 October 2013 in Agricultural Systems
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The present paper aims at evaluating the effect of regional policies in the agricultural field, with a specific focus on the Italian case. Provincial systems are evaluated through the Directional Output Distance Function (DODF) that is an extension of the Data Envelopment Analysis technique (DEA). The DODF approach allows authors to consider pollutant emissions as undesirable output and to redefine productivity and efficiency indicators, considering also the contraction of emissions from the fertilizer’s use. Results show that there is a considerable difference for environmental performances among Italian regions and that productivity estimates differ when emissions are included. The amount of public funds granted by the Rural Development Programs (RDP) over the period 2000–2006 is in general assigned to the more disadvantaged areas. Nevertheless, obtained results suggest that TFP growth does not exactly follow the direction of public funds and some policy’s implications are provided.

ACS Style

Greta Falavigna; Alessandro Manello; Sara Pavone. Environmental efficiency, productivity and public funds: The case of the Italian agricultural industry. Agricultural Systems 2013, 121, 73 -80.

AMA Style

Greta Falavigna, Alessandro Manello, Sara Pavone. Environmental efficiency, productivity and public funds: The case of the Italian agricultural industry. Agricultural Systems. 2013; 121 ():73-80.

Chicago/Turabian Style

Greta Falavigna; Alessandro Manello; Sara Pavone. 2013. "Environmental efficiency, productivity and public funds: The case of the Italian agricultural industry." Agricultural Systems 121, no. : 73-80.

Journal article
Published: 10 November 2012 in Public Organization Review
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Public health institutions are involved in human experimentations, which is a specific phase of pharmaceutical industry’s production process. These medical centers collect clinical evidence about experimental treatments and, at the same time, they have to guarantee patients’ safety through appropriate Institutional Review Boards. Taking human experimentation into account, this work aims at estimating a public policy designed to reduce transaction costs that are related to the protection system of patients’ rights, with both a normative and positive approach. On the one hand, considering a sample of European countries as counterfactual, an empirical analysis is performed in order to estimate the impact of a national law aimed at harmonizing the procedure to obtain opinions on clinical trials. On the other hand, an alternative law, which might be able to favor the exchange between pharmaceutical companies and patients, is proposed.

ACS Style

Roberto Ippoliti; Greta Falavigna. Public Health Institutions, Clinical Research and Protection System of Patients’ Rights: An Impact Evaluation of Public Policy. Public Organization Review 2012, 14, 109 -125.

AMA Style

Roberto Ippoliti, Greta Falavigna. Public Health Institutions, Clinical Research and Protection System of Patients’ Rights: An Impact Evaluation of Public Policy. Public Organization Review. 2012; 14 (2):109-125.

Chicago/Turabian Style

Roberto Ippoliti; Greta Falavigna. 2012. "Public Health Institutions, Clinical Research and Protection System of Patients’ Rights: An Impact Evaluation of Public Policy." Public Organization Review 14, no. 2: 109-125.

Journal article
Published: 28 October 2012 in Health Care Management Science
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The present study considers the Italian healthcare system, investigating the aspects that might affect the efficiency of Italian hospitals. The authors analyze what influences a specific definition of efficiency, which is calculated maximizing healthcare production but minimizing potential financial losses. In other words, this work considers efficient each hospital which is able to maximize the production of medical treatments while complying, at the same time, with budget constraints. Hence, the results of this paper are twofold: from the organizational point of view, they underline the need for rebalancing the various administrative levels of hospitals; from the technical point of view, a more coherent model is proposed in order to account for all the aspects of the healthcare industry.

ACS Style

Greta Falavigna; Roberto Ippoliti; Alessandro Manello. Hospital organization and performance: a directional distance function approach. Health Care Management Science 2012, 16, 139 -151.

AMA Style

Greta Falavigna, Roberto Ippoliti, Alessandro Manello. Hospital organization and performance: a directional distance function approach. Health Care Management Science. 2012; 16 (2):139-151.

Chicago/Turabian Style

Greta Falavigna; Roberto Ippoliti; Alessandro Manello. 2012. "Hospital organization and performance: a directional distance function approach." Health Care Management Science 16, no. 2: 139-151.