In a systems thinking context, adaptability and adaptiveness are closely related concepts, but they focus on slightly different aspects of a system's response to change:
1. Adaptability refers to a system's capacity or potential to change or adjust in response to different conditions or disruptions. It is about the flexibility and range of options the system has available when faced with new challenges. A system with high adaptability can change its structure, processes, or behaviors to maintain functionality or improve performance in the face of external pressures.
Example: A company’s ability to shift its supply chain operations to new suppliers when existing ones are disrupted shows adaptability.
2. Adaptiveness, on the other hand, refers to the system’s actual process of adapting over time—its ongoing, dynamic response to environmental changes. It reflects the system’s real-time feedback mechanisms, learning capabilities, and evolution. Adaptiveness is more about how well and efficiently a system can continuously evolve to maintain or improve its performance in a changing environment.
Example: A company that continuously improves its supply chain management through data analysis and automation to respond to fluctuating market demands exhibits adaptiveness.
In summary:
Adaptability is about the system's capacity for change (potential flexibility).
Adaptiveness is about the system's actual process of evolving (real-time adjustment and learning).
Both are crucial in resilient systems, but adaptability refers to readiness, while adaptive
ness involves action.