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Implementing a digital government is a more rational and transparent decision. However, many complex real-practice policies, such as nuclear energy, pensions, climate change, and aging societies, may require more nuanced and multi-dimensional perspectives. This study critiques the schools of deterministic perspectives and examines alternative frameworks grounded in quantum probability theories and multi-dimensional decision-making models. It further examines policy transparency and its interaction with policy values. Through an empirical case study of Korea’s nuclear power policy, the study demonstrates the transformative potential of a quantum-informed approach in policy-making. Our findings emphasize incorporating interaction, correction, and recalibration processes to improve policy effectiveness. In this respect, this study proposes a multi-dimensional policy-making model based on quantum probability. Inspiring a new era in policy-making, this quantum probability model proposes the integration of norms, institutions, technology, and contextual variables.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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