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AbstractThe objective of this study is to determine the impact of artificial intelligence (AI) on the earnings before interest, taxes, depreciation, and amortization (EBITDA) of firms as a proxy of their financial and economic margins by improving revenues and minimizing expenses. This impact is positive on the market value and scalability by improving the economic and financial sustainability of companies. The methodology is based on a business plan that considers the savings obtained by a traditional firm implementing AI. Specifically, a sensitivity analysis will demonstrate that AI savings impact key parameters, leading to economic and financial sustainability. Additionally, a mathematical interpretation, based on network theory, will be produced to provide and compare the added value of two ecosystems (without and with AI that adds up new nodes and strengthens the existing ones). The main contribution of this paper is the combination of two unrelated approaches, showing the potential of AI in scalable ecosystems. In future research, this innovative methodology could be extended to other technological applications.

This paper explores innovative governance models in the healthcare sector. Patients are a key albeit under-investigated stakeholder and smart technologies applied to public healthcare represent a trendy innovation that reshapes the value-driving proposition. This study contributes to the best practice improvement in this sector, showing how health governance can balance the interests of conflicting stakeholders (patients, staff, politicians, private providers, banks, suppliers, etc.) when technology-driven (smart) investments are realized. Characteristics of smart hospitals are critically examined, and governance solutions are considered, together with private actors' involvement and flexible forms of remuneration. Smart hospitals are so complicated that they may require sophisticated Public-Private Partnerships (PPP). Public players lack innovative skills, whereas private actors seek additional remuneration for their non-routine efforts and higher risk. PPP represents a feasible governance framework, especially if linked to Project Financing (PF) investment patterns. Results-Based Financing (RBF) softens traditional PPP criticalities as availability payment sustainability or risk transfer compensation. Waste of public money can consequently be reduced, and private bankability improved. Patient-centered smart hospitals reshape traditional healthcare governance, with savings and efficiency gains that meliorate timeliness and execution of cares. Transformation of in-patients to out-patients and then home-patients represents, whenever possible, a mighty goal.