Uncovers the impact of data clarity on decision-making efficiency in economic systems, suggesting significant improvements.
This paper introduces the Principle of Data Unambiguity, identifying ambiguity in data structures as a fundamental source of economic and institutional inefficiency. It proposes that eliminating such ambiguity enables deterministic, verifiable, and reproducible decision-making, forming an operational layer beneath institutional theory.
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Dmitriy V. Andriyanov (2026) studied this question.
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