Introducing Entropy into Organizational Psychology: An Entropy-Based Proactive Control Model

Area of Science:

• Integrates concepts from physics, information theory, and psychology.
• Focuses on organizational management psychology and individual behavior.

Background:

• Entropy is a complex, diverse concept with a rich history across multiple scientific fields.
• Understanding how individuals cope with uncertainty is crucial in organizational settings.

Purpose of the Study:

• To systematically review the transfer and quantification of entropy across disciplines.
• To explore future applications and research directions of entropy in organizational management psychology.
• To propose a novel 'entropy-based proactive control model' for individuals in organizations.

Main Methods:

• Conducted a comprehensive systematic review of entropy's conceptual evolution and quantification.
• Analyzed existing research on individual coping mechanisms with uncertainty.
• Redefined psychological entropy within organizational management psychology.
• Developed a new theoretical model based on entropy's core characteristics.

Main Results:

• Identified commonalities and specificities in entropy quantification across disciplines.
• Proposed an 'entropy-based proactive control model' with four dimensions: learning, goal, change orientation, and risk-taking.
• Demonstrated psychological entropy's potential to simulate, explain, and predict individual behavior in organizations.

Conclusions:

• Psychological entropy serves as a meta-structure for understanding individual dynamics in organizational environments.
• The proposed model integrates positive psychological constructs, enhancing predictive and explanatory power for organizational behaviors.
• This work offers a novel theoretical framework and practical applications for entropy in organizational psychology.