Enhancing Decision-Making in Low-Latency Environments: The Community Kinetic Intelligent Complex Adaptive System Model

Presenter Information

Regan W. Duff, University of AucklandFollow
Gabrielle Peko, University of AucklandFollow
Johnny Chan, University of AucklandFollow
David Sundaram, University of AucklandFollow

Paper Type

Complete

Abstract

The Community Kinetic Intelligent Complex Adaptive System (CKICAS) model extends Bennet & Bennet's ICAS to community-centered, low-latency decision-making. Drawing on complex adaptive systems (CAS) theory, socio-ecological resilience and design science research (DSR), CKICAS introduces a kinetic dimension (continuous, real-time interaction) and embeds the notion of transformability (the capacity to reconfigure when adaptation is insufficient). We position CKICAS within the emergent literature on community-oriented CAS, present a structured model overview, report pilot implementations carried out during the COVID-19 pandemic, and discuss implications for information systems (IS) theory and practice.

Paper Number

2158

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2025/papers/2158

Comments

IntelFuture

Recommended Citation

Duff, Regan W.; Peko, Gabrielle; Chan, Johnny; and Sundaram, David, "Enhancing Decision-Making in Low-Latency Environments: The Community Kinetic Intelligent Complex Adaptive System Model" (2025). AMCIS 2025 Proceedings. 40.
https://aisel.aisnet.org/amcis2025/intelfuture/intelfuture/40