Working with Emergent Change: Applying Appreciative Inquiry to Adaptive Challenges

May 2015
ChangeChange
Rate this article

ABSTRACT

People who are successful at facilitating transformational change have merged interpretivist social science, and complexity natural science in their thinking and practice. In this article I discuss how complexity science can help AI practitioners deepen their thinking and improve their transformational change practice.

Want a discount? Become a member by purchasing Subscription for Practitioners, Subscription small groups/organisations (1-20 seats), Subscription medium groups/organisations (21-100 seats) or Subscription large groups/organisations (+100 seats)!

€0.00

Author: Gervase Bushe

Gervase Bushe’s 1995 paper was selected one of the ten best OD Journal articles. His paper with Kassam was runner-up for best paper in 2005 in the Journal of Applied Behavioral Science. In 2002 he was designated one of the top ten AI consultants in the world by the AI Commons.

E: bushe@sfu.ca

All articles of this author

Comments

  1. David Jeffery –

    a

Leave a comment

Leave a Reply

Your email address will not be published. Required fields are marked *