Parthenope University of Naples
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A COMPOSITE INDICATOR TO MEASURE THE ECONOMIC AND FINANCIAL HEALTH OF DIGITAL PLATFORMS
No full textThis study develops a Composite Indicator, the Economic and Financial Health Index (EFHI), to assess the multidimensional performance of major digital platforms. Traditional financial metrics—such as revenues, operating margins, or cash flows—fail to capture the structural complexity of these ecosystems, which generate value through technological innovation, user interaction, and data management. The EFHI integrates four key dimensions—financial stability, profitability and operational efficiency, cash flow and investment management, and employee productivity—using the Mazziotta–Pareto (MP) method, a non-compensatory aggregation technique that penalises unbalanced performance across dimensions. Applying the EFHI to leading global platforms (Apple, Microsoft, Alphabet, Meta, Amazon, Netflix, Spotify, and Twitter) over the 2013–2021 period reveals clear distinctions between established and emerging firms. The results show that Apple, Microsoft, and Alphabet exhibit the highest and most stable EFHI values, reflecting diversified and resilient business models. In contrast, Netflix, Spotify, and Twitter display greater volatility, highlighting the operational fragility and high cost structures typical of growing digital firms. The findings provide strategic insights for managers, investors, and policymakers, emphasising the need for differentiated policy approaches to support innovation, diversification, and sustainable growth in the digital economy
Power-Based Indices with Single Metering Sections for Responsibility Assessment of Disturbing Loads
No full textThe integration of smart grids and energy communities in modern distribution systems drives the need for robust power quality analyses, particularly regarding waveform distortions. The distortions pose challenges in responsibility assessment between utilities and customers, due to their complex spectral characteristics and time-varying nature. To address this issue, this paper presents a comparative analysis of single-point measurement metrics (indices) derived from powers in non-ideal conditions, expanding their scope to incorporate supraharmonics (SHs). SHs are voltage or current frequency components that extend beyond the traditional harmonic range, typically ranging up to 150 kHz. Also, a new variation index useful to quantify the incidence of supraharmonics on the power-based responsibility indices is provided. Utilizing laboratory measurements from an emulated low-voltage system, the metrics are assessed under conditions involving disturbing loads and utility background distortion. The paper provides a detailed critical analysis of power-based metrics, describes the laboratory setup, and presents and discusses the results of numerical applications
THE FUTURE OF AI IN STUDENTS’ PERCEPTIONS: AN EMPIRICAL INVESTIGATION OF CHALLENGES, RISKS AND OPPORTUNITIES IL FUTURO DELL’ INTELLIGENZA ARTIFICIALE NELLE PERCEZIONI DEGLI STUDENTI:UN’INDAGINE ESPLORATIVA TRA SFIDE, RISCHI E OPPORTUNITÀ
No full textStudies on students' perceptions of Artificial Intelligence and its use
in educational settings are few and rather recent. Considering this
scenario, an exploratory study was chosen with the aim of collecting
students' opinions on artificial intelligence, its risks, challenges and
opportunities. Forty semi-structured interviews were conducted with
secondary school students in the Campania context. The interviews
were examined in the light of the Grounded Theory paradigm there
emerges a Representation of Artificial intelligence in terms of
advantages, criticalities and challenges
Enhanced Detection of DNA Nucleobases Using a C 2 O Monolayer Nanodevice: Insights from First-Principles Analysis
No full textThe detection of nucleobases is critical for enhancing DNA sequencing technologies. This study employs density functional theory (DFT) and nonequilibrium Green’s function (NEGF) methods to explore the adsorption behavior of natural DNA bases (adenine (A), thymine (T), guanine (G), and cytosine (C)) on a C2O monolayer and to assess its electronic transport properties. Our results show that adsorption occurs predominantly via physisorption, characterized by minimal charge transfer and weak dispersion interactions, leading to the emergence of flat molecular bands near the conduction and valence band edges. Current–voltage (I–V) measurements reveal that current onset occurs around 2.5 V, with guanine exhibiting the highest current and cytosine causing the largest current reduction compared to the pure C2O monolayer. Sensitivity analysis indicates that at 3.0 V, adenine achieves the highest current sensitivity (∼48%), while at 3.5 V, cytosine reaches peak sensitivity (∼60%). These sensitivity trends enable selective differentiation of nucleobases by tuning the applied voltage, highlighting the potential of C2O monolayer-based nanodevices for voltage-dependent and -selective DNA base detection
Optimizing coffee supply chain transparency and traceability through mobile application
No full textPurpose This study proposes a mobile application to enhance the coffee supply chain (CSC) by leveraging advanced technologies. It addresses the critical need for transparency, traceability and sustainability in the global market from conception to implementation, ensuring innovation. Design/methodology/approach The application integrates blockchain, radio-frequency identification and barcode technologies for accurate data tracking and recording throughout the supply chain. Its features encompass farm inspections, data capturing (e.g. coffee variety, environmental conditions and inputs like fertilizers), shipment management and processing, ensuring seamless operations across stakeholders. Findings The application improves traceability, enabling better decision-making in transportation, inventory and purchases while promoting sustainability. By optimizing operational efficiency through real-time monitoring and logistics, it reduces costs by up to 20% and inventory carrying costs by 15–25%. It supports precision agriculture, boosting crop productivity by up to 15% and aligns with just-in-time (JIT) principles to minimize delays and storage costs. Additionally, it addresses counterfeiting and unethical practices, supports ISO 9001 and ISO 14001 compliance and promotes sustainable practices, reducing waste and improving livelihoods, profitability and trust across the supply chain. Research limitations/implications While this study highlights the transformative potential of digital technologies in agricultural supply chains, further research is needed to understand and address the specific barriers to technology adoption in diverse regional contexts. Key challenges include inadequate digital infrastructure in rural coffee-growing regions, the high costs associated with Internet of things and blockchain deployment and the varying levels of digital literacy among smallholder farmers. Additionally, regulatory discrepancies across countries can impact the feasibility and scalability of these technologies, necessitating policy interventions to support widespread adoption. Practical implications The application fosters sustainable agricultural practices, fair trade and regulatory compliance while enhancing operational efficiency, accountability and stakeholder trust. Social implications The proposed mobile application significantly impacts the CSC by addressing key social challenges. It empowers smallholder farmers through tools that enhance transparency, enabling access to premium markets and fostering fair trade. The platform promotes ethical sourcing, combating labor exploitation and supports sustainable practices to improve environmental and socio-economic conditions. By offering traceability, it strengthens consumer trust and encourages accountability across the supply chain. Additionally, it fosters collaboration among stakeholders, creating a shared value ecosystem that ensures equitable benefits. Overall, the application contributes to a more inclusive, ethical and sustainable coffee industry, aligning with global development and sustainability goals. Originality/value This work presents an innovative, comprehensive solution for optimizing the CSC. By covering the entire workflow and leveraging advanced technologies, the application significantly improves environmental, social, economic and governance outcomes, paving the way for a more efficient and responsible coffee industry
A Comprehensive Methodology for Evaluating R&D Projects on the Valorisation of Big Data in the Field Open Innovation According to the Frascati Manual
No full textIn the dynamic landscape of Research and Development (R&D), there is still a gap in the evaluation of projects dealing with big data and open innovation. Integrating the resource-based view (RBV) as a theoretical basis and the Frascati Manual principles to bridge theory and practice, this paper aims to provide a methodology for analyzing in a quantitative way the value of R&D projects dealing with big data. Leveraging Analytic Hierarchy Process (AHP) and Fuzzy Set Theory (FST), the proposed approach provides a hierarchical structure that measures the relative significance of the resources. The findings underscore a comprehensive evaluation methodology that captures the nuanced challenges of R&D projects in big data and open innovation fields, thus improving the capacity for strategic decision-making by enabling companies to optimize their projects. Policymakers can employ the insights from this contribution to develop policies that encourage innovation and the efficient use of resources in R&D investments
Work Life Balance-Finding Equilibrium for the Women in Construction Careers
No full textLong known for its difficult working conditions and male-dominated workforce, the construction business has recently seen a slow change as more women enter the area. However, because of the rigorous nature of the construction industry and its historically inflexible arrangements, these women frequently have particular difficulties in establishing a work-life balance. In order to shed light on the difficulties women in the construction sector have in juggling their personal and professional lives, this chapter explores the important subject of work-life balance. The study's mixed-methods methodology, which includes surveys, interviews, and case studies, identifies several significant barriers, such as strict work schedules, a dearth of family support systems, and a lack of laws that account for caregiving duties. The findings demonstrate that these barriers increase industry attrition rates in addition to having an effect on women's career advancement and job satisfaction. The report also highlights strategies that effectively promote work-life balance, such as flexible work schedules, parental leave laws, and on-site day care services. Such actions have been demonstrated to increase inclusivity and organizational productivity in addition to well-being and job satisfaction. Construction firms can create a culture that celebrates diversity and helps all workers strike a long-term balance between work and personal life by putting these strategies into practice. This chapter advocates for industry-wide reform, emphasizing the need for a supportive infrastructure that enables women in construction to thrive, thereby paving the way for a more equitable, diverse, and productive workforce