Tag: artificial-intelligence

BEYOND SYSTEMS THINKING: TOWARDS A COMPLEXITY THINKING ETHIC

This piece proposes that complexity thinking is not just a methodology. It’s a moral and epistemic stance. It begins with the unsettling truth that we are not neutral observers of a system, but implicated participants. It asks us to let go of managerial comfort, inherited roles, and stakeholder entitlements and to dwell in ambiguity as a source of real possibility.

people are not apps

PEOPLE ARE NOT APPS: THE HUMAN TRUTH BEHIND ENTERPRISE PERFORMANCE

People aren’t apps, and motivation isn’t something you can install. Unlike money or tech, human beings can’t be managed—they choose, adapt, protect, or engage depending on the culture around them. Enterprise roadmending is about spotting the quiet cracks before they break the whole system. It’s not about control, but conditions. You don’t engineer trust or performance—you make them possible. In the digital age, real leadership means tending the soil, not writing the code.

A New Language for Climate Adaptation: Framing Climate Adaptation Beyond Linear Modelling

Climate models offer valuable scenarios, but they are still bounded by known variables and assumptions. When these scenarios are treated as definitive futures rather than possibilities, adaptation strategies risk becoming rigid and obsolete as new emergent conditions unfold. This fosters a tendency toward reactive planning, where strategies prepare for specific anticipated futures rather than a range of possible, unknowable futures.