Research Paper

Stages and Dimensions of Systems Intelligence

  1. Rachel Jones1,
  2. James Corner2,3,*

Article first published online: 3 JUN 2011

DOI: 10.1002/sres.1090

Issue

Systems Research and Behavioral Science

Systems Research and Behavioral Science

Volume 29, Issue 1, pages 30–45, January/February 2012

Additional Information

How to Cite

Jones, R. and Corner, J. (2012), Stages and Dimensions of Systems Intelligence. Syst. Res., 29: 30–45. doi: 10.1002/sres.1090

Author Information

  1. 1

    Systems Analysis Laboratory, Aalto University, Finland

  2. 2

    Department of Management Systems, Waikato Management School, University of Waikato, Hamilton, New Zealand

  3. 3

    Bordeaux Management School, Bordeaux, France

*James Corner Department of Management Systems, Waikato Management School, University of Waikato, Private Bag 3105, Hamilton, New Zealand.
E-mail: jcorner@waikato.ac.nz

Publication History

  1. Issue published online: 18 JAN 2012
  2. Article first published online: 3 JUN 2011
  3. Manuscript Accepted: 14 MAR 2011
  4. Manuscript Revised: 14 DEC 2010
  5. Manuscript Received: 11 NOV 2009

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Keywords:

  • systems intelligence;
  • adult development;
  • taxonomy;
  • stages;
  • dimensions

Following the footsteps of emotional, social, cultural and other types of intelligence, systems intelligence offers a new perspective on how individuals act with a lesser or greater degree of intelligence within physical and social systems. First appearing in the published literature in 2004, systems intelligence has resonated with the related fields of decision making, communication and leadership, among others. However, to date, a taxonomy for considering systems intelligence has yet to be described. Building off Kegan's framework for human development and Hämäläinen and Saarinen's recent levels, we offer a new taxonomy of systems intelligence and describe its stages and dimensions. We focus on the three stages of attentive, active and inspired systems intelligence, incorporating three, four and eight dimensions, respectively. This taxonomy serves as a useful conceptualization for the future development of measurement tools for systems intelligence and as a basis for understanding how individuals might transition between stages. Copyright © 2011 John Wiley & Sons, Ltd.

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