Questions & Answers
What is emergent practice?▼
Emergent practice originates from the Cynefin framework, designed for decision-making in complex adaptive systems where cause-and-effect relationships are only coherent in retrospect. Unlike 'best practice' for simple problems, it operates on a 'Probe-Sense-Respond' cycle. This involves conducting small, safe-to-fail experiments (Probe), observing the outcomes to identify patterns (Sense), and then acting on that feedback (Respond). While not a term explicitly defined in ISO 31000:2018, its principles align with the standard's emphasis on iterative processes and managing uncertainty, providing a practical method for navigating unpredictable risks like disruptive technologies or geopolitical shifts.
How is emergent practice applied in enterprise risk management?▼
In ERM, emergent practice is applied by conducting controlled experiments to discover effective risk responses in uncertain environments. The steps are: 1) **Probe:** Design and launch small-scale, low-cost experiments. For instance, to counter a novel cyber threat, a company might pilot two different AI-based detection tools in a limited, non-critical part of its network. 2) **Sense:** Monitor the results in near real-time. Analyze which tool identifies threats more effectively or has a lower false-positive rate. The goal is learning, not just measuring against a pre-defined plan. 3) **Respond:** Based on the feedback, amplify the successful experiment by scaling it across the organization, or dampen the unsuccessful one and pivot to a new probe. This approach helps organizations build adaptive capabilities rather than relying on static, outdated risk plans.
What challenges do Taiwan enterprises face when implementing emergent practice?▼
Taiwan enterprises often face three key challenges: 1) **Cultural Inertia:** A prevalent culture, especially in manufacturing, that prioritizes SOPs and predictability, making it resistant to the 'fail-fast' nature of experimentation. 2) **Resource Constraints:** Small and medium-sized enterprises (SMEs) may lack the budget and personnel to run multiple parallel experiments. 3) **Regulatory Rigidity:** Highly regulated industries like finance require predictable, auditable controls, which can conflict with experimental approaches. To overcome these, companies should start with small pilots in non-critical areas to build a 'safe-to-fail' culture, adopt agile methodologies to manage resources efficiently in short cycles, and leverage regulatory sandboxes to test innovations in a compliant manner.
Why choose Winners Consulting for emergent practice?▼
Winners Consulting specializes in emergent practice for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact
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