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Introducing Entropy into Organizational Psychology: An Entropy-Based Proactive Control Model.
- Source :
- Behavioral Sciences (2076-328X); Jan2024, Vol. 14 Issue 1, p54, 28p
- Publication Year :
- 2024
-
Abstract
- This paper provides a systematic review of the transfer and quantification of the concept of entropy in multidisciplinary fields and delves into its future applications and research directions in organizational management psychology based on its core characteristics. We first comprehensively reviewed the conceptual evolution of entropy in disciplines such as physics, information theory, and psychology, revealing its complexity and diversity as an interdisciplinary concept. Subsequently, we analyzed the quantification methods of entropy in a multidisciplinary context and pointed out that their calculation methods have both specificity and commonality across different disciplines. Subsequently, the paper reviewed the research on how individuals cope with uncertainty in entropy increase, redefined psychological entropy from the perspective of organizational management psychology, and proposed an "entropy-based proactive control model" at the individual level. This model is built around the core connotation of entropy, covering four dimensions: learning orientation, goal orientation, change orientation, and risk taking. We believe that psychological entropy, as a meta structure of individuals, can simulate, explain, and predict the process of how individuals manage and control "entropy" in an organizational environment from a dynamic perspective. This understanding enables psychological entropy to integrate a series of positive psychological constructs (e.g., lean spirit), providing extensive predictive and explanatory power for various behaviors of individuals in organizations. This paper provides a new direction for the application of the concept of entropy in psychology, especially for theoretical development and practical application in the field of organizational management. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 2076328X
- Volume :
- 14
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Behavioral Sciences (2076-328X)
- Publication Type :
- Academic Journal
- Accession number :
- 175048673
- Full Text :
- https://doi.org/10.3390/bs14010054