Publication Authors: Stefania D'Aprile

Giuseppe Ambrosio, Maria Zifaro, Federica Bandini, Stefania D’Aprile, Giovanni Spatola, Marianna Mancino

The intersection of artificial intelligence (AI), machine learning technologies, and human resource management (HRM) represents a transformative shift in organisational development. This paper presents a systematic literature review (SLR) examining peer-reviewed evidence on human-machine collaboration in HRM within social enterprises and mission-driven organisations. Using the SPIDER framework and PRISMA guidelines, the review conducted a systematic […]

IN: Proceedings IFKAD 2026: Intelligent Knowledge for Sustainable Organizations
875-882
Marianna Mancino, Maria Zifaro, Giuseppe Ambrosio, Giovanni Spatola, Stefania D’Aprile

The current context is marked by systemic, ecological, social, and economic crises. These are accompanied by an increasing acceleration of technological change. In this scenario, the urgent need emerges to rethink development models based on unlimited economic growth. The degrowth paradigm proposes an alternative orientation centered on principles of sufficiency, equity, and collective well-being. It […]

IN: Proceedings IFKAD 2026: Intelligent Knowledge for Sustainable Organizations
865-874
Stefania D’Aprile, Giovanni Spatola

Social sustainability is a fundamental pillar for the balanced and inclusive development of contemporary societies. It embodies the commitment to social equity, inclusion, respect for human rights, and the promotion of collective well-being. Artificial intelligence (AI), with its increasing deployment, is emerging as a key tool for addressing social challenges and promoting sustainability goals, which, […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
1018-1024
Giovanni Spatola, Stefania D’Aprile, Maria Zifaro, Andrea Presciutti, Alessandro Broglia

The integration of Environmental, Social, and Governance (ESG) principles into corporate strategy has emerged as a global imperative, catalyzed by regulatory frameworks, investor pressure, and increasing stakeholder expectations. However, the complexity of ESG data collection, analysis, and reporting poses significant challenges for organizations. Recent advances in Artificial Intelligence (AI) have led to the development of […]

IN: Proceedings IFKAD 2025: Knowledge Futures: AI, Technology, and the New Business Paradigm
986-993