The existing literature has outlined the significance of collective intelligence stemming from effective partnership between artificial intelligence (AI) systems and human workers to achieve organisationally valued outcomes. Despite the benefits offered by AI systems such as automation, process efficiency, augmenting human intelligence through their superior analytics capability, majority of the organisations have failed to experience the anticipated value. Organisations often find it difficult to integrate AI systems with existing human workers, processes and business strategy. There is a lack of both understanding as well as knowhow on the best practices to effectively develop collaborative intelligence capability.
04:17
When time is of the essence and teams face unexpected contextual changes, they must adapt quickly, sometimes even in real time, that is, they may have to improvise. This paper adopts an inductive approach to explore how teams decide to engage in improvised adaptation, and what happens during those processes for improvisation to be successful. The study analyzes improvisation from the perspective of paradox
theory and identifies six paradoxical tensions driven by these contexts: deployment, development, temporal, procedural, structural, and behavioral tensions. We propose a dynamic equilibrium model of team improvised adaptation that leads to team plasticity.
ABRANTES Antonio - TBS Education |
- Research
- Innovation Management