Future-Proofing Startups: Stress Management Principles Based on Adaptive Calibration Model and Active Inference...

Area of Science:

• Organizational Psychology
• Cognitive Science
• Systems Biology

Background:

• Most startups fail, necessitating future-proofing strategies.
• Existing research on entrepreneurial stress often focuses on specific stressors rather than adaptive responses.
• Adaptive Calibration Model (ACM) and Active Inference Theory (AIT) offer frameworks for understanding adaptive responses to environmental changes.

Purpose of the Study:

• To introduce future-proofing methods for startups by integrating ACM and AIT.
• To provide eight stress management principles derived from ACM and AIT for startup resilience.
• To explore the application of ACM and AIT across different startup life cycle stages and organizational practices.

Main Methods:

• Relating ACM and AIT to startup contexts.
• Developing stress management principles based on ACM and AIT.
• Illustrating practical applications through organizational examples.

Main Results:

• Eight stress management principles for startups, grounded in ACM and AIT, are presented.
• ACM and AIT are linked to various startup life cycle stages.
• Practical examples demonstrate the relevance of ACM and AIT to organizational practice.

Conclusions:

• ACM and AIT provide a novel framework for future-proofing startups by focusing on adaptive stress responses.
• The study extends beyond traditional stress management by emphasizing the recalibration of stress responsivity patterns.
• This work bridges concepts from the physics of life (energy, action, ecological fitness) with human organizations.