A comparative analysis of AI-driven corporate social responsibility initiatives in Italian and Scandinavian manufacturing firms and their impact on strategies and competitive advantages
Muto, Andrea Pasquale (A.A. 2024/2025) A comparative analysis of AI-driven corporate social responsibility initiatives in Italian and Scandinavian manufacturing firms and their impact on strategies and competitive advantages. Tesi di Laurea in Corporate strategy, Luiss Guido Carli, relatore Francesca Romana Arduino, pp. 128. [Master's Degree Thesis]
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Abstract/Index
Literature review and theoretical framework. The manufacturing industry in Italy and in Scandinavian countries. Artificial intelligence (AI) in the manufacturing sector. Corporate social responsibility (CSR): definitions and evolution. Competitive advantage and value creation. The Resource-based view (RBV). Stakeholder theory. Strategic CSR. Theoretical framework model: an integrated approach. Methodology. Research design and approach. Findings. Approaches to CSR and AI across companies. The specific AI applications in CSR initiatives. The strategic role of AI implementation in CSR initiatives. The impact on competitive advantage and firm performance. Challenges and barriers in the implementation of AI in CSR practices. Future strategies and investments. Perceived differences across countries. Discussion. From CSR to strategic CSR: the role of AI in the evolution of corporate sustainability. AI as a strategic resource: a RBV perspective. Stakeholder influence and institutional context in driving AI for CSR. Organizational capabilities and implementation approaches: how companies adopt AI in CSR. Outcomes and value creation through AI-driven CSR. Strategic outcomes: the link between AI-driven CSR initiatives, Firm performance and competitive advantage. Cross-country differences: sustainability, digital readiness and strategic adoption of AI. Overcoming implementation challenges and barriers in the application of AI in CSR and future investments.
References
Bibliografia: pp. 109-118.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
| Chair: | Corporate strategy |
| Thesis Supervisor: | Arduino, Francesca Romana |
| Thesis Co-Supervisor: | Jell-Ojobor, Maria |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 29 Oct 2025 16:05 |
| Last Modified: | 29 Oct 2025 16:05 |
| URI: | https://tesi.luiss.it/id/eprint/43589 |
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