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Drivers and outcomes of scenario planning: a canonical correlation analysis

Thomas J. Chermack (Colorado State University, Fort Collins, Colorado, USA)
Kim Nimon (University of North Texas, Department of Learning Technologies, Houston, Texas, USA)

European Journal of Training and Development

ISSN: 2046-9012

Article publication date: 8 November 2013

1339

Abstract

Purpose

The paper ' s aim is to report a research study on the mediator and outcome variable sets in scenario planning.

Design/methodology/approach

This is a cannonical correlation analysis (CCA)

Findings

Twso sets of variables; one as a predictor set that explained a significant amount of variability in the second, or outcome set of variables were found.

Research limitations/implications

The study did not involve random selection or assignment and used perception-based measures.

Practical implications

The findings support scenario planning as a tool to reinforce certain decision styles and learning organization culture.

Originality/value

A critical contribution to scenario planning research, this study brings some order to the variety of variables espoused to be involved in scenario work. Clear outcomes are a learning culture and intuitive/dependent decision styles. The study makes a real contribution to quantitative scenario studies.

Keywords

Citation

Chermack, T.J. and Nimon, K. (2013), "Drivers and outcomes of scenario planning: a canonical correlation analysis", European Journal of Training and Development, Vol. 37 No. 9, pp. 811-834. https://doi.org/10.1108/EJTD-03-2013-0030

Publisher

:

Emerald Group Publishing Limited

Copyright © 2013, Emerald Group Publishing Limited

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