Digital Economy and Human Behavior: Psychological Drivers of Financial Decision-Making
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https://doi.org/10.69760/portuni.26050005##semicolon##
Digital economy##common.commaListSeparator## behavioral economics##common.commaListSeparator## financial decision-making##common.commaListSeparator## cognitive bias##common.commaListSeparator## algorithmic trust##common.commaListSeparator## blockchain##common.commaListSeparator## FinTech##common.commaListSeparator## prospect theory##common.commaListSeparator## digital literacy##common.commaListSeparator## risk perceptionSantrauka
The rapid expansion of the digital economy has significantly transformed financial systems and human decision-making behavior. This study examines the psychological drivers influencing financial decision-making within digital environments, with particular emphasis on the role of cognitive biases, trust mechanisms, risk perception, and behavioral adaptation in the face of artificial intelligence, blockchain technologies, and digital financial platforms. Drawing on a synthesis of behavioral economics theory and recent empirical literature, the paper argues that financial decision-making in digital ecosystems is shaped not only by classical rationality but also by heuristic shortcuts, algorithmic dependency, information overload, and the reconfiguration of trust from interpersonal to technology-mediated forms. Foundational frameworks by Kahneman and Tversky (1979) and Thaler and Sunstein (2008) are integrated with contemporary digital finance research to develop a unified analytical model. The findings suggest that digital ecosystems simultaneously enhance efficiency and introduce new behavioral risks, requiring adaptive psychological responses from both individuals and institutions. The study contributes to the growing literature on behavioral digital economics by bridging classical behavioral finance with the unique demands of the algorithm-driven financial landscape.
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