Informational Entropy-Based Value Formation: A New Paradigm for a Deeper Understanding of Value

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Title: Informational Entropy-Based Value Formation: A New Paradigm for a Deeper Understanding of Value
Language: English
Authors: Quan-Hoang Vuong, Viet-Phuong La, Minh-Hoang Nguyen (ORCID 0000-0002-7520-3844)
Source: Evaluation Review. 2026 50(3):516-540.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 25
Publication Date: 2026
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Interdisciplinary Approach, Global Approach, Theories, Values
DOI: 10.1177/0193841X251396210
ISSN: 0193-841X
1552-3926
Abstract: The major global challenges of our time--such as climate change, environmental degradation, rising inequality, and the emergence of disruptive technologies--demand interdisciplinary research to generate effective solutions. A clear understanding of value is essential for guiding socio-cultural and economic transitions to address these issues. Despite numerous attempts to define value, existing approaches remain inconsistent across disciplines and lack a comprehensive framework. This paper introduces a novel perspective on value through the lens of granular interaction thinking theory, proposing an informational entropy-based notion of value. Grounded on quantum mechanics, Shannon's information theory, and the mindsponge theory, this framework integrates both subjective and objective considerations and is highly compatible with interdisciplinary research. The informational entropy-based notion of value effectively bridges diverse concepts of value, including use and exchange value in economics, personal values in psychology, and cultural, moral, ethical, and esthetic values in society. By offering a unifying perspective, granular interaction thinking theory provides a valuable framework for translating insights from quantum mechanics into socio-cultural, economic, and psychological contexts, enriching theoretical discourse and enhancing analytical effectiveness.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1501378
Database: ERIC
FullText Text:
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  Data: <searchLink fieldCode="AR" term="%22Quan-Hoang+Vuong%22">Quan-Hoang Vuong</searchLink><br /><searchLink fieldCode="AR" term="%22Viet-Phuong+La%22">Viet-Phuong La</searchLink><br /><searchLink fieldCode="AR" term="%22Minh-Hoang+Nguyen%22">Minh-Hoang Nguyen</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7520-3844">0000-0002-7520-3844</externalLink>)
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  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
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  Data: The major global challenges of our time--such as climate change, environmental degradation, rising inequality, and the emergence of disruptive technologies--demand interdisciplinary research to generate effective solutions. A clear understanding of value is essential for guiding socio-cultural and economic transitions to address these issues. Despite numerous attempts to define value, existing approaches remain inconsistent across disciplines and lack a comprehensive framework. This paper introduces a novel perspective on value through the lens of granular interaction thinking theory, proposing an informational entropy-based notion of value. Grounded on quantum mechanics, Shannon's information theory, and the mindsponge theory, this framework integrates both subjective and objective considerations and is highly compatible with interdisciplinary research. The informational entropy-based notion of value effectively bridges diverse concepts of value, including use and exchange value in economics, personal values in psychology, and cultural, moral, ethical, and esthetic values in society. By offering a unifying perspective, granular interaction thinking theory provides a valuable framework for translating insights from quantum mechanics into socio-cultural, economic, and psychological contexts, enriching theoretical discourse and enhancing analytical effectiveness.
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  Data: 2026
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