Parthenope University of Naples

Archivio della ricerca - Università degli studi di Napoli "Parthenope"
Not a member yet
    29604 research outputs found

    Polifunzionalità della nullità negoziale. Modelli comparatistici

    No full text
    Lo schema tradizionale della nullità è da alcuni lustri, fortemente messo alla prova dal sorgere e dall’affermarsi di “nuove” figure di nullità le quali, seppure in parte, si discostano dall’impianto generale. L’immagine di una nullità granitica intesa come un rimedio posto a tutela di interessi generali e a legittimazione assoluta, è attualmente messa in crisi da nuove forme di nullità in particolar modo quelle c.dd. di protezione, di matrice ed origine euro-unitaria. Queste ultime portano con sé ulteriori interrogativi, caratterizzati dal valore funzionale della loro rilevabilità d’ufficio e la convalidabilità. Tanto per non tacere delle ipotesi di recupero del contratto nullo, il che ci porta alla conseguente domanda se si possa ancora parlare di un dogma dell’insanabilità ovvero della nascita di preminenti interessi concreti che spingono sempre di più verso un’ottica di conservazione del contratto. Le esperienze allogene, selezionate fra quelle maggiormente significative, contribuiscono a delineare un quadro in profonda evoluzione in sintonia con i processi globali del mercato

    PRIMATO DEL DIRITTO DELL’UNIONE EUROPEA, GIUDICE NAZIONALE E DIALOGO CON LE CORTI: QUALI NUOVI EQUILIBRI?

    No full text
    Il volume monotematico raccoglie e rielabora gli atti del convegno tenutosi a Napoli presso l'Università Parthenope il 31 marzo 2025 su "Il primato del diritto dell'UE alla prova del "tono costituzionale" e vuole offrire un'analisi del rapporto tra ordinamento italiano ed europeo di tipo multidisciplinare e analitica rispetto ai recenti arresti giurisprudenziali della Corte costituzional

    A Deep Learning Solution for Phase Screen Estimation in SAR Tomography

    No full text
    Multibaseline and tomographic synthetic aperture radar (SAR) data are often affected by phase distortions known as phase screens. These distortions stem either from atmospheric effects or residual errors in platform motion. Calibrating and compensating for the phase screen is crucial to prevent spreading and defocusing in multidimensional tomographic imaging. Given the growing interest in artificial intelligence and deep learning, we aim to utilize their potential to develop a phase calibration process for SAR tomographic data. Our proposed framework is based upon a convolutional neural network (CNN) and generates training patches directly from the tomographic images under consideration, without relying on external references or resources. Once trained, the network effectively estimates phase distortions across the entire image; these are then used to calibrate the tomographic data. Experimental results from AfriSAR and UAVSAR tomographic datasets are included to showcase the effectiveness of the proposed solution

    Digital Twin and Metaverse Technologies for Sustainable Manufacturing Operations

    No full text
    In the context of smart manufacturing, the integration of advanced digital technologies plays a pivotal role in enhancing operational efficiency, transparency, and sustainability. This research presents a novel platform designed to seamlessly combine Digital Twin technology, real-time IoT data, and collaboration tools to support smart manufacturing processes. By offering a unified approach, the platform aims to improve operational transparency, facilitate remote interaction, and enable real-time sustainability monitoring. Central to its design is the alignment of process monitoring capabilities with ecological objectives, ensuring that manufacturing operations contribute to sustainability goals. The platform empowers organizations to track, analyze, and optimize processes in real-time, while also fostering collaboration across remote teams for more effective decision-making. A pilot study conducted in a textile manufacturing company is presented, demonstrating the platform’s potential in improving operational performance while adhering to environmental standards. The findings highlight the platform’s capability to enhance both the efficiency of manufacturing operations and the sustainability of industrial practices, offering valuable insights into its practical application within the textile industry

    Managing energy resources, carbon emissions and green technology adoption in circular economy transition: A mathematical approach

    No full text
    This study addresses the critical need to transition supply chains (SCs) to a circular economy model to reduce energy consumption and carbon emissions, underscoring that circular change requires the active involvement of all SC partners, not just manufacturers. Using a mathematical modeling approach, this study assesses how carbon caps, carbon trading, carbon taxes, and a two-level trade credit policy impact SC profitability, energy reduction, and green technology adoption within a circular economy framework. The models consider scenarios in which supplier demand is credit dependent and retailer demand is uncertain for deteriorating products, focusing on the challenges posed by credit dependency and demand volatility. Numerical results validate its effectiveness in achieving a circular SC for deteriorating products. Key findings show that in a carbon taxation, carbon emission (CE) model, suppliers and retailers attain the lowest costs, smaller order quantities, stable cash flow, and greater green technology investments when credit periods are shorter than replenishment times, effectively reducing energy consumption. In a carbon cap-and-trade CE scenario, both costs and green technology investments are lower when the credit period and carbon credits offered are shorter than the replenishment time, thus favoring both cash flow and sustainability. Under strict CE regulations, if credit periods exceed replenishment times, SC partners can achieve optimal costs, moderate order quantities, favorable payment terms, and high green technology investments, which significantly reduce overall energy use and emissions. A sensitivity analysis established the validity and effectiveness of the model in promoting energy savings, reducing carbon emissions, and minimizing SC costs. The analysis also determined the optimal energy consumption rate across various operations and the energy usage of vehicles to maximize profitability. This study offers a comprehensive perspective on balancing economic sustainability and environmental goals in SCs for deteriorating products under uncertain demand

    Green Human Resource Management Strategies in Fostering Corporate Social Responsibility Inside and Outside the Workplace

    No full text
    Assessing the increasing need for environmental management in the hospitality sector, the current research examines the association of green human resource management (GHRM) with employees' green behavior within and outside the organization as an effective corporate social responsibility (CSR) intervention. The study further investigates the mediating role of individual and collective green creativity in this relationship between GHRM and employees' green behavior. Partial least squares structural equation modeling (PLS-SEM) was used to test the proposed hypotheses based on responses from 289 UK and US-based hotel employees. Findings indicate a positive influence of GHRM practices on employees' green behaviors inside and outside the organization by inspiring individual green creativity in CSR strategies. However, although a positive influence of GHRM on collective green creativity has been found, a subsequent effect on green behaviors outside the organization could not be empirically substantiated. Our study provides useful insights for hospitality organizations to enhance corporate social responsibility and environmental sustainability

    1,361

    full texts

    29,604

    metadata records
    Updated in last 30 days.
    Archivio della ricerca - Università degli studi di Napoli "Parthenope"
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇