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Laura Antonucci
Ruolo
Ricercatore
Organizzazione
Università degli Studi di Foggia
Dipartimento
Dipartimento di Medicina Clinica e Sperimentale
Area Scientifica
Area 13 - Scienze economiche e statistiche
Settore Scientifico Disciplinare
SECS-S/05 - Statistica Sociale
Settore ERC 1° livello
PE - Physical sciences and engineering
Settore ERC 2° livello
PE1 Mathematics: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Settore ERC 3° livello
PE1_14 Statistics
By using the skill gap analysis we propose a new quantitative method to plan training courses. By comparing the dif-ferences between the competences needed to cover a position and the ones possessed, it is possible to find the cases that need to be trained. According to different situations we propose some algorithms to plan courses and to find the subjects that require to be trained.
Using Structural Equation Models we analyse the level of passenger satisfaction
Italy is frequently reprimanded by the European Court of Human Rights (ECtHR) over the amount of time it takes Italian courts to reach verdicts. European Court decisions have lead to calls for an urgent intervention in order to save time and costs in Italian judicial system. Efficiency and effectiveness are key targets for managing justice in Italy. Nevertheless they are not easy to achieve. In this paper, using a Stochastic Frontier Model (SFM) we compare the Italian courts efficiency to identify strong and weak points.
Analisi mediante modelli a frontiera stocastica dell'efficienza della giustizia italiana
To analyse the level of passenger satisfaction of a public local transport service, after an explorative factorial analysis, a Structural Equation Model was adopted. The main goal of this paper is to verify how much some service characteristics could influence the perceived quality of the service. The passengers are found very sensitive to the level of the service organization and to the way the service is delivered (punctuality and regularity, and short waiting time). The safety and reliability of buses, the level of comfort and cleanness and the professionalism and courtesy of staff had, also, a big weight to determinate of the customer satisfaction. Applying a further analysis on different sub-samples, based on individual characteristics, we found that the model above identified is full invariant for different residence area and frequency of use of the service, and partially invariant for age groups, employment status, time slot of use and reason of use. The test of invariance the structural coefficients failed considering gender or education level of the passengers.
Bilancio di genere dell'Università di Foggia
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