Parthenope University of Naples
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Environmental reporting in public sector organizations: A review of literature for the future paths of research
GHG Accounting and Gendered Carbon Accountability in a Shipping Agency: A Single-Case Study with Ethnographic Elements
This study examines how gender dynamics shape greenhouse gas (GHG) accounting and carbon accountability in a Mediterranean maritime agency. It adopts an interpretive singlecase study design with ethnographic elements, combining interviews, document analysis, and direct observations derived from insider access. The results reveal that digitalization
strengthens the technical capacity for carbon accounting, particularly for Scopes 1 and 2, by making data more traceable and auditable through ERP and principal-mandated
systems. Empirically, the study finds that women perform most of the carbon data work, compiling, reconciling, and uploading approximately 80% of emissions-related information,
yet hold limited decision rights over strategic boundary setting and KPI definition. This imbalance highlights how operational reliability depends on gendered divisions of labor, while strategic accountability remains constrained by hierarchical decision structures. The study reframes carbon accountability as a gendered organizational practice, advancing
debates on Sustainable Development Goal (SDG) 5 (Gender Equality) and SDG 13 (Climate Action) in shipping. It also proposes a gender-inclusive accountability framework,
including a Responsible–Accountable–Consulted–Informed (RACI) matrix with gender overlays, contractual/Application Programming Interface (API) exchanges for Scope 3, and
participatory system design, and discusses implications for principals and port authorities. The findings contribute to critical and interpretive accounting by distinguishing operational
from strategic accountability and demonstrating how the distribution of voice and authority conditions decarbonization credibility and effectiveness
FROM REFLECTION TO ACTION: LEVEREGING INNER DEVELOPMENT GOALS THROUGH EXPERIENTIAL LEARNING IN EDUCATION FOR SUSTAINABLE DEVELOPMENT
Integration of Clustering Techniques in Probabilistic Current and Voltage Harmonic Forecasting
Cybersecurity Management Throughout the IoT Systems Lifecycle – The CERTIFY Approach
Cyber-attacks get more sophisticated every day, potentially affecting a large number of Internet of Things (IoT) -based infrastructures and raising security and privacy concerns in consumer and business products. The EU Cybersecurity Act (CSA) first and the Cyber Resilience Act (CRA) more recently have established the pivotal role covered by a cybersecurity management encompassing the full lifecycle of products and services, and a continuous certification process. CERTIFY defines a methodological, technological, and organizational approach towards IoT security lifecycle management. To ensure security compliance throughout the device lifetime, CERTIFY designs and implements a cybersecurity lifecycle management framework for IoT devices. The framework is intended to support the device security management by collecting and sharing relevant security information both internally (via monitoring and attestation services) and externally, e.g., by interacting with device manufacturers, threat databases, certification authorities, Information Sharing and Analysis Centers (ISACs), and more. The received information is meant to support a local decision making with respect to the security monitoring, updating, and configuration of the device. Moreover, this information sharing will enable a continuous risk assessment, gathering evidence that could agile future recertifications. CERTIFY provides IoT stakeholders with mechanisms achieving high-level of security to detect and respond to a wide spectrum of attack, in a collaborative and decentralized fashion. CERTIFY will validate the architecture through cutting-edge use cases and pave the way towards innovative security in a broad spectrum of IoT environments
Development of a High Resolution Imaging Radar for Automotive Applications in Critical Visibility Conditions
There is increasing interest in automotive sensor monitoring systems as a means to enhance safety by providing reliable assistance in hazardous situations. These systems are commonly based on video cameras; however, their effectiveness is significantly reduced in adverse weather conditions such as fog, rain, or in the presence of smoke. To address this limitation, radar sensors—particularly imaging radars—are gaining prominence within the context of Driver Assistance Systems. A key challenge in current radar signal processing techniques is their limited ability to distinguish multiple targets along the same line of sight. In this paper, we propose a novel radar signal processing approach based on Deep Learning, capable of detecting and differentiating two or more targets aligned on the same line of sight, while also estimating the position and speed of vehicles ahead. Specifically, we adapt techniques originally developed for civil and military tracking radar applications to the automotive context, taking into account the higher spatial resolution and lower signal-to-noise ratio (SNR) characteristic of automotive radars. The proposed system integrates target detection, tracking, recognition, classification, and analysis, with a particular focus on the accurate identification of close-range targets
Job satisfaction and heterogeneity of entrepreneurship nexus
Purpose – This study aims to contribute to the field by studying differences in job satisfaction among different
categories of entrepreneurs, namely: job creators (employer entrepreneurs or self-employed with employees), solo
self-employed individuals, hybrid entrepreneurs and dependent self-employed.
Design/methodology/approach – The empirical settings utilize cross-country data from the European
Union Labour Force Survey (EU LFS), including 35 countries and information on 330,755 full-time
employees and the studied types of entrepreneurial occupations. The results are based on the employment of
multivariate ordered logistic regression models.
Findings – This study finds that, on average, the highest levels of job satisfaction are among job creators,
followed by solo self-employed individuals. Compared with wage employed, on average, lower levels of job
satisfaction were reported by hybrid entrepreneurs and dependent self-employed individuals who had the
lowest levels of job satisfaction. The latter is more likely to be exposed to economically vulnerable conditions
as they operate within unclear regulation frameworks and weak social protection while still trying to cope with
their long-lasting precariousness.
Research limitations/implications – This study points out to develop a more structured framework for
capturing dependent self-employment and a series of research recommendations. Notably, we recommend future
researchers study longitudinal settings satisfaction among the identified segments of entrepreneurs.
Originality/value – Contrary to the established knowledge, the obtained findings show that self-
employment may be associated with even lower levels of job satisfaction than the salaried job
How Territorial and Family Settings Shape the Subjective Poverty: the Case of Lombardia, Toscana and Campania
High-pressure direct injection as enabling technology for high-power density hydrogen SI engines: Experimental analysis of the influence of jet-guided combustion regimes on efficiency and abnormal combustion
The European Union (EU) aims to decarbonize the road transport sector by 2050. Hydrogen (H2), as a carbon-free option among alternative fuels, offers favourable properties for use in Internal Combustion Engines (ICEs), accompanied by the challenging control of engine-out emissions and abnormal combustion, especially towards stoichiometric conditions. The presented research project applies a non-premixed jet-guided combustion process to mitigate abnormal combustion while maintaining beneficial power density and NOX emissions compared to the stoichiometric homogeneous premixed engine operation. The experimental investigation involved a 500 cm3 Spark Ignition (SI) Single Cylinder Engine (SCE) designed for gasoline applications. This study analyses a variation of the ignition timing relative to the injection window for the jet-guided stoichiometric operation and compares it to the homogeneous stoichiometric and lean modes for an engine speed of 1500 RPM and different engine loads identified by the Indicated Mean Effective Pressure (IMEP) of 5, 7.5, 10, and 12.5 bar. The results show the potential of a non-premixed combustion process towards higher engine load to prevent pre-ignition or knocking in stoichiometric conditions while maintaining the power density. The experiments demonstrate the transition from a predominantly mixture-controlled combustion process driven by the fuel injection rate to a predominantly premixed process igniting around the End Of Injection (EOI) and the influence on combustion duration, efficiency, and engine-out emission
Composition and Determinants of Corporate Climate Lobbying: Evidence From Italy
This study investigates the determinants of corporate climate-¬ related lobbying in Italy, focusing on firm-¬ level factors that influence lobbying expenditures and participation in European climate policy discussions. Given rising pressure from governments and stakeholders for sustainable practices, corporate lobbying plays a crucial role in shaping European climate policies. Using an unbalanced panel dataset of Italian firms from 2011 to 2023, we employ advanced econometric methods and AI-¬ supported textual analysis to explore lobbying dynamics. The findings indicate that firm revenue is a key driver of lobbying intensity, with larger firms investing more in lobbying activities and engaging more frequently in climate-¬ related discussions. Additionally, regional differences and company size significantly affect lobbying behaviors, highlighting the role of financial resources and institutional context in shaping firms' climate policy engagement. In this, the research contributes to the limited EU-¬ focused literature on corporate lobbying, providing valuable insights into Italy's unique lobbying landscape and its implications for climate governance