Putting the learning curve in context

Abstract In implementation of change, people learn new ways of doing things, develop new skills, and adopt new organizational routines. This paper applies learning curve theory to implementation by developing a system dynamics model that includes two extensions to classic learning curve theory. First, the model includes a required output level for the individual. Second, the model includes a budget constraint on time that forces a choice between an old and a new way to achieve the output. Doing work the new way builds experience, increasing productivity and thus favoring continued use of the new skill, but model analysis demonstrates that this reinforcing process works to favor the new skill only at relatively high levels of productivity. Otherwise, the same process is a vicious cycle, driving out the new skill. The model exhibits a mode of behavior in which learning begins and then stalls and another mode in which the new skill becomes the preferred one. The paper identifies the tipping point between these two modes and characterizes the transition problem: Learning by doing is a dynamic process, a transition from use of an old way to a new way that requires accumulating experience beyond a threshold.

[1]  K. Arrow.  The Economic Implications of Learning by Doing , 1962 .

[2]  C. Shapiro.  Consumer Information, Product Quality, and Seller Reputation , 1982 .

[3]  J. Dutton,et al.  Treating Progress Functions as a Managerial Opportunity , 1984 .

[4]  Kim B. Clark,et al.  Behind the learning curve: a sketch of the learning process , 1991 .

[5]  W. Zangwill,et al.  Toward a Theory of Continuous Improvement and the Learning Curve , 1998 .

[6]  Geoffrey G. Parker,et al.  The Effect of Learning on the Make/Buy Decision , 2002 .

[7]  L. Argote,et al.  Learning Curves in Manufacturing , 1990, Science.

[8]  Charles H. Fine.  Quality Improvement and Learning in Productive Systems , 1986 .

[9]  Linda Argote,et al.  Organizational Learning Curves: A Method for Investigating Intra-Plant Transfer of Knowledge Acquired Through Learning by Doing , 1991 .

[10]  S. Winter,et al.  An Evolutionary Theory of Economic Change.by Richard R. Nelson; Sidney G. Winter , 1987 .

[11]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[12]  L. Argote.  Organizational Learning: Creating, Retaining and Transferring Knowledge , 1999 .

[13]  K. Klein,et al.  The Challenge of Innovation Implementation , 1996 .

[14]  Louis E. Yelle.  THE LEARNING CURVE: HISTORICAL REVIEW AND COMPREHENSIVE SURVEY , 1979 .

[15]  Rachelle C. Sampson.  Experience effects and collaborative returns in R&D alliances , 2005 .

[16]  Anne Marie Knott,et al.  On the Strategic Accumulation of Intangible Assets , 2003, Organ. Sci..

[17]  Magali A. Delmas,et al.  A Framework for Analyzing Environmental Voluntary Agreements , 2001 .

[18]  S. Rajagopalan,et al.  Process Improvement, Quality, and Learning Effects , 1998 .

[19]  L. Argote.  Group and organizational learning curves: Individual, system and environmental components , 1993 .

[20]  E. Schein.  Kurt Lewin's change theory in the field and in the classroom: Notes toward a model of managed learning , 1996 .

[21]  Thomas R. Gulledge,et al.  Investment in knowledge: a generalization of learning by experience , 1994 .

[22]  John D. Sterman,et al.  Business dynamics : systems thinking and modelling for acomplex world , 2002 .

[23]  G. Breeuwsma.  Geruchten als besmettelijke ziekte. Het succesverhaal van de Hush Puppies. Bespreking van Malcolm Gladwell, The tipping point. How little things can make a big difference. London: Little, Brown and Company, 2000 , 2000 .

[24]  D. Fudenberg,et al.  Learning-by-Doing and Market Performance , 1983 .

[25]  Kim B. Clark,et al.  The Uneasy alliance: Managing the productivity-technology dilemma , 1985 .

[26]  Nelson P. Repenning,et al.  Capability Traps and Self-Confirming Attribution Errors in the Dynamics of Process Improvement , 2002 .

[27]  D. Meadows-Klue.  The Tipping Point: How Little Things Can Make a Big Difference , 2004 .

[28]  D. Teece,et al.  DYNAMIC CAPABILITIES AND STRATEGIC MANAGEMENT , 1997 .

[29]  N. K. Womer.  Learning Curves, Production Rate, and Program Costs , 1979 .

[30]  S. Wheelwright,et al.  The new logic of high-tech R&D , 1999 .

[31]  Edgar H. Schein.  Kurt Lewin in the clasroom, in the field, and in change theory : notes toward a model of managed learning , 1995 .

[32]  Nelson P. Repenning,et al.  Past the Tipping Point: The Persistence of Firefighting in Product Development , 2001 .

[33]  T. P. Wright,et al.  Factors affecting the cost of airplanes , 1936 .

[34]  C. Bailey.  Forgetting and the learning curve: a laboratory study , 1989 .

[35]  D. Teece,et al.  The Dynamic Capabilities of Firms: an Introduction , 1994 .

[36]  K. Lewin,et al.  Group decision and social change. , 1999 .

[37]  T. Newcomb,et al.  Readings in Social Psychology , 1948, Teachers College Record.

[38]  Gavin J. Wright.  An evolutionary theory of economic change , 1982 .

[39]  J. Spender.  Making knowledge the basis of a dynamic theory of the firm , 1996 .

[40]  Karel Cool,et al.  Asset stock accumulation and sustainability of competitive advantage , 1989 .

[41]  Karel Cool,et al.  Asset Stock Accumulation and the Sustainability of Competitive Advantage: Reply , 1989 .

[42]  Cheryl Gaimon,et al.  Improving Manufacturing Performance Through Process Change and Knowledge Creation , 2000 .

[43]  Steffen Bayer,et al.  Business dynamics: Systems thinking and modeling for a complex world , 2004 .

[44]  M. Spence.  The Learning Curve and Competition , 1981 .

[45]  Linda Argote,et al.  Managing Knowledge in Organizations: An Integrative Framework and Review of Emerging Themes , 2003, Manag. Sci..