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Cited by 329

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An overview of intentional change from a complexity perspective

Boyatzis, Richard E.·2006·Journal of Management Development

Abstract

Purpose – Change, and in particular intentional or desired change, has not been understood nor systematically studied. By applying concepts from complexity theory to intentional change theory, the purpose of this paper is to provide a new level of insight into why and how sustainable desired change can occur at all levels of human/social interaction, from individual to teams to organizations to communities, countries and the globe. Design/methodology/approach – Using research from over 30 years of longitudinal studies of individual and organizational change, the concepts are explored and implications proposed. Findings – Sustainable, intentional change is on the whole discontinuous. It occurs through a series of five discoveries or emergence conditions. It is driven by the interplay of the positive and negative emotional attractor. It follows the described process at all fractals of human organization. Research limitations/implications – Extensive empirical research has been done at the individual level, but only case studies at the organization and country levels. Practical implications – Every person seeking to explore, understand, or facilitate sustainable, desired change can be helped by the model and understanding how it functions. Originality/value – The theory of intentional change is relatively new to the literature, as is the use of complexity theory.

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Metadata

Authors
Boyatzis, R. E.
Venue
Journal of Management Development
Publisher
Emerald
Published
2006-08
Volume
25
Issue
7
Pages
607-623
ISSN
0262-1711 (ISSN-L)
OpenAlex
W2081189988
Cited by
329
References
1
FWCI
24.98
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.