Online from: 1994
Subject Area: Organization Studies
Options: To add Favourites and Table of Contents Alerts please take a Emerald profile
|Title:||Immunity to transformational learning and change|
|Author(s):||David J. Bochman, (University of Idaho, Boise, Idaho, USA), Michael Kroth, (University of Idaho, Boise, Idaho, USA)|
|Citation:||David J. Bochman, Michael Kroth, (2010) "Immunity to transformational learning and change", Learning Organization, The, Vol. 17 Iss: 4, pp.328 - 342|
|Keywords:||Change management, Learning, Organizational theory, Organizations|
|Article type:||Conceptual paper|
|DOI:||10.1108/09696471011043090 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – The purpose of this paper is to examine and synthesize Argyris and Schön's Theory of Action and Kegan and Lahey's theory of Immunity to Change in order to produce an integrated model.
Design/methodology/approach – Literature discussing Argyris and Schön's Theory of Action (Model I and Model II), single and double-loop learning, espoused theory and theory-in-use; and Kegan and Lahey's theory of Immunity to Change was examined. The two theories were then summarized, analyzed, compared and synthesized into an integrated model.
Findings – Within Kegan and Lahey's model of an immunity system, the Argyris and Schön Model I Unilateral Control Model should be considered a competing commitment. Kegan and Lahey's theory identifies a critical causal element (underlying assumption) not previously identified by the Argyris and Schön Theory of Action, thus opening the potential for expanded effectiveness by practioners of Argyris and Schön's theory.
Originality/value – Little attention has been given in the literature to comparing or integrating these two theories. The synthesis of the two theories opens the possibility of overcoming limitations experienced by practitioners promoting double-loop learning in organizations.
To purchase this item please login or register.
Complete and print this form to request this document from your librarian