| dc.description.abstract | This work has a two-fold objective, achieved through two lines of
research. The first, purely industrial, focuses on the technical-scientific
difficulties related to collecting, tokenizing, and producing value from data
generated during work activities. Specifically, the proposed solution utilizes a
combination of IoT and Smart Contract technologies for data collection and
the creation of work-based blockchain assets, while providing a pilot study
for managing automatic business payments. This solution is at the forefront
of the literature in terms of scalability, value creation, security, attention to
regulation, and protection of the parties' rights. The second strand, purely
scientific, focuses on applying Financial Computing to tokens generated by
Smart Contracts during data collection, using mathematical methods that
are inspired by the philosophy of Value Investing for asset evaluation. The aim
is to generate business models and facilitate the measurement of financial
risk of structured portfolios to support decision-making processes in
contexts of info-uncertainty and info-incompleteness, where subjectivity and
experience prevail. This assessment arises from extended probability theory,
which allows reconstructing the occurrence of an event in contexts where
information are missing, and is applicable to financial markets where
decisions based on subjective and incomplete information are necessary.
The extended probability theory and its application to financial instruments
are validated through an experimentation on intangible assets that are part of
the sports market. It is then used to build a model called the Token Evaluation
System, which allows evaluating digital assets and facilitating risk
management in a structured portfolio. In summary, this work presents a solid
theoretical and methodological basis, combined with a practical
demonstration through the realization of a Proof of Concept, demonstrating
the proposed solution's effectiveness and ability to generate value for the
industry. This work represents an important step forward in using blockchain
technology and Financial Computing for risk assessment and management in
innovative financial markets, ensuring greater transparency, security, and
automation in work and associated asset management, and opening up new
opportunities for efficiency and economic growth. [edited by Author] | it_IT |
