Publication Authors: Giovanni Schiuma

Giuseppe Loseto, Alessandro Massaro, Giovanni Schiuma, Angelo Rosa

Processing healthcare data presents significant challenges for clinicians, particularly in chronic disease management such as diabetes care. Traditional data aggregation and summarization methods often struggle to integrate the diverse data sources of health information, ranging from structured electronic health records to unstructured clinical notes. In response to this challenge, the paper proposes a reference framework […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
1142-1148
Ana Lidia Quintero Ramírez, Francisco Javier Álvarez-Torres, Giovanni Schiuma, Gabriela Citlalli López-Torres, Maria D. De-Juan-Vigaray, Clara María Freire Margaça

Small and Medium Enterprises (SMEs) are fundamental to Mexico’s economy, representing over 70% of formal employment. Despite their importance, many SMEs, particularly in traditional industries such as leather-footwear, struggle to adopt digital technologies due to outdated infrastructure, limited resources, and cultural resistance to change. The COVID-19 pandemic intensified these challenges, underscoring the need for digital […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
454-460
Alessandro Massaro, Giuseppe Loseto, Francesco Santarsiero, Giovanni Schiuma, Angelo Rosa, Parisa Sabbagh, Olivia McDermott

The goal of the proposed paper is to provide a preliminary Artificial Intelligence (AI) approach addressing the analysis on the prevention of diabetes. The study is performed within the framework of the research project Telediabetolab and focuses on the check of the supervised Support Vector machine (SVM) algorithm to define a method to perform a […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
345-350
Alessandro Massaro, Demetrio Alessandro Trunfio, Giovanni Schiuma, Francesco Santarsiero

The goal of the proposed paper is to provide a methodology to map electronic processes of manufacturing control systems matching with Knowledge Management (KM) processes. Specifically, the paper discusses an example of Proportional-Integral-Derivative (PID) process tuning a production machine and enabling quality management and predictive maintenance processes. The PID circuital model is designed by the […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
2410-2417
Antonio Lerro, Francesco Santarsiero, Giovanni Schiuma, Achille Claudio Garavelli

Aim of this paper is to provide a knowledge-based perspective about the Entrepreneurship Education (EE). Despite EE has recently emerged as a relevant enhancing factor to support innovation and entrepreneurial dynamics, little attention has been paid to the identification and the operationalization of the knowledge assets dimensions grounding effective EE programs. To fill this gap, […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
1939-1959
Daniela Carlucci, Francesco Santarsiero, Rosaria Lagrutta, Antonio Lerro, Giovanni Schiuma

This paper aims to introduce and validate a comprehensive toolkit tailored to assist cultural tourism organizations in managing digital transformation (DT) and business model innovation (BMI). As the cultural tourism industry faces the dual challenges of maintaining traditional values while integrating contemporary digital practices, this toolkit provides a strategic framework to navigate these complexities effectively. […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
1771-1781
Daniela Carlucci, Francesco Santarsiero, Rosaria Lagrutta, Antonio Lerro, Giovanni Schiuma

The relevance of digital transformation (DT) is acknowledged across industries, including cultural tourism. However, existing frameworks for digital maturity in this sector are limited and fragmented. This lack of a comprehensive framework hampers the ability of cultural tourism organizations to effectively assess their digital maturity, address challenges related to DT, and formulate strategic roadmaps for […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
1759-1770
Antonio Lerro, Francesco Santarsiero, Daniela Carlucci, Rosaria Lagrutta, Giovanni Schiuma

The elaboration and the application of modeling and tools supporting the innovation processes and the digital transformation of the tourism organisations and of the wider tourism ecosystems require not only a review of products and services, processes, work practices and organizational and networks structures, but also a cultural evolution towards the digital-driven innovation and the […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
1681-1695
Francisco Javier Álvarez-Torres, Giovanni Schiuma, Francisco Javier Velázquez-Sagahón, Gabriela Citlalli López-Torres

This study explores the complex relationship between technology and well-being in recent graduates entering the workforce of Industry 4.0. While technology offers flexibility through remote work, it also poses challenges like attention fatigue and emotional strain. The research focuses on how recent graduates navigate this balance, particularly as they adapt to their first jobs. On […]

IN: Proceedings IFKAD 2024 – Translating Knowledge into Innovation Dynamics
828-845
Rosaria Lagrutta, Daniela Carlucci, Giovanni Schiuma, Francesco Santarsiero, Antonio Lerro

Innovation capacity is considered a distinctive driver, for organizations, to face the challenges of the current, increasingly complex, scenario. In such perspective, several researchers emphasized the importance of learning orientation, knowledge sharing, and learning environment as key determinants of innovation capacity. In this vein, developing learning spaces and learning environment fostering knowledge and learning dynamics, […]

IN: Proceedings IFKAD 2023 – Managing Knowledge for Sustainability
3106-3120