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Managing Creditworthiness in the Digital Economy: A Theoretical Framework for a Hybrid and Explainable Model

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Theoretical framework develops a hybrid model for creditworthiness assessment in digital markets, highlighting transparency and adaptability.

The hybrid model enhances accuracy and speed in credit assessment, ensuring better decision-making in the digital economy.
Incorporating explainable artificial intelligence and unstructured data analysis improves transparency in creditworthiness evaluation.
This descriptive analysis combines traditional indicators with advanced digital tools to redefine credit assessment frameworks.
Implications focus on the need for ethical considerations in digital credit solutions, addressing transparency issues for stakeholders.

Čavlin et al. (2025) studied this question.

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Theoretical framework develops a hybrid model for creditworthiness assessment in digital markets, highlighting transparency and adaptability.