Syddansk Universitet Individual and organizational conditions for the emergence and evolution of

AbstractWhat makes employees adopt a particular innovation, practice, or idea? And what makes it more likely for adoption to spread wide in an organization? This paper presents an agent-based model that simulates interactions among employees to analyze the spread of bandwagons. Agents are subject to conformity and peer pressure as well as to a two-level organizational hierarchy. In the model, perceptions of the surrounding environment depend on individual cognitive attitudes (or ‘tolerance’ to bandwagons), the level of ambiguity attached to social relationships, and organization size. Findings show that the probability of widespread diffusion (i.e., bandwagon) is dependent more on organizational size, conformity, and interactions than ambiguity and individual attitudes.

[1]  Michael X Cohen,et al.  Harnessing Complexity: Organizational Implications of a Scientific Frontier , 2000 .

[2]  A. Clark.  Supersizing the Mind , 2008 .

[3]  Michael J. Prietula,et al.  Design Versus Cognition: The interaction of agent cognition and organizational design on organizational performance , 1998, J. Artif. Soc. Soc. Simul..

[4]  Kent D. Miller.  Agent-Based Modeling and Organization Studies: A critical realist perspective , 2015 .

[5]  Raffaello Seri,et al.  'How many times should my simulation run?': Power analysis for agent-based modeling , 2014 .

[6]  Lori Rosenkopf,et al.  Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation , 1997 .

[7]  Igor Nikolic,et al.  Agent-Based Modelling of Socio-Technical Systems , 2012, Agent-Based Social Systems.

[8]  John E. Woods,et al.  The death of argument - fallacies in agent based reasoning , 2004, Applied logic series.

[9]  Kathleen M. Carley,et al.  Measuring CMOT’s intellectual structure and its development , 2011, Comput. Math. Organ. Theory.

[10]  Elmar Kiesling,et al.  Agent-based simulation of innovation diffusion: a review , 2011, Central European Journal of Operations Research.

[11]  Jacques Ferber,et al.  Multi-agent simulation as a tool for analysing emergent processes in societies , 1992 .

[12]  D. Secchi,et al.  Socially distributed cognition and intra-organizational bandwagon: Theoretical framework, model, and simulation , 2013 .

[13]  Jacob Cohen,et al.  A power primer. , 1992, Psychological bulletin.

[14]  Tom R. Burns,et al.  The Management of Innovation. , 1963 .

[15]  V. Eguíluz,et al.  Cooperation and the Emergence of Role Differentiation in the Dynamics of Social Networks1 , 2005, American Journal of Sociology.

[16]  S. E. Green,et al.  A Rhetorical Theory of Diffusion , 2004 .

[17]  Donald E. Gibson,et al.  Developing the Professional Self-Concept: Role Model Construals in Early, Middle, and Late Career Stages , 2003, Organ. Sci..

[18]  R. Rosenthal,et al.  Statistical power: concepts, procedures, and applications. , 1996, Behaviour research and therapy.

[19]  J. March.  Bounded rationality, ambiguity, and the engineering of choice , 1978 .

[20]  Emanuele Bardone.  Seeking Chances - From Biased Rationality to Distributed Cognition , 2011, Cognitive Systems Monographs.

[21]  Timothy B. Clark.  The Fashion of Management Fashion: a Surge Too Far? , 2004 .

[22]  John E. Woods.  The Death of Argument , 2004 .

[23]  Barry M. Staw,et al.  What Bandwagons Bring: Effects of Popular Management Techniques on Corporate Performance, Reputation, and CEO Pay , 2000 .

[24]  R. Burt.  Social Contagion and Innovation: Cohesion versus Structural Equivalence , 1987, American Journal of Sociology.

[25]  Alexandra Michel,et al.  A Distributed Cognition Perspective on Newcomers' Change Processes: The Management of Cognitive Uncertainty in Two Investment Banks , 2007 .

[26]  David Strang,et al.  Adding Social Structure to Diffusion Models , 1991 .

[27]  Yen-Sheng Chiang,et al.  Birds of Moderately Different Feathers: Bandwagon Dynamics and the Threshold Heterogeneity of Network Neighbors , 2007 .

[28]  Herbert A. Simon,et al.  Altruism and Economics , 1992 .

[29]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[30]  Bruce Edmonds,et al.  From KISS to KIDS - An 'Anti-simplistic' Modelling Approach , 2004, MABS.

[31]  T. Valente.  Social network thresholds in the diffusion of innovations , 1996 .

[32]  D. Secchi.  Boundary Conditions for the Emergence of “Docility” in Organizations: Agent-Based Model and Simulation , 2016 .

[33]  Mark S. Granovetter.  Threshold Models of Collective Behavior , 1978, American Journal of Sociology.

[34]  H. Leibenstein.  Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand , 1950 .

[35]  Kathleen M. Carley.  Computational modeling for reasoning about the social behavior of humans , 2009, Comput. Math. Organ. Theory.

[36]  Kent D. Miller,et al.  Different Truths in Different Worlds , 2010, Organ. Sci..

[37]  D. Kahneman.  A perspective on judgment and choice: mapping bounded rationality. , 2003, The American psychologist.

[38]  Robert A. Burgelman.  A Model of the Interaction of Strategic Behavior, Corporate Context, and the Concept of Strategy , 1983 .

[39]  Pietro Terna,et al.  How to build and use agent-based models in social science , 2000 .

[40]  Giacomo Corneo,et al.  Snobs, bandwagons, and the origin of social customs in consumer behavior , 1997 .

[41]  Andrew King,et al.  Follow the small? Information-revealing adoption bandwagons when observers expect larger firms to benefit more from adoption , 2007 .

[42]  Davide Secchi,et al.  Extendable Rationality: Understanding Decision Making in Organizations , 2010 .

[43]  E. Schein.  Organisational culture and leadership , 1991 .

[44]  Jeffrey R. Edwards,et al.  Person–Environment Fit in Organizations: An Assessment of Theoretical Progress , 2008 .

[45]  Daniel A. Levinthal.  Adaptation on rugged landscapes , 1997 .

[46]  A. McGahan.  Bandwagon Effects in High Technology Industries , 2001 .

[47]  A. Banerjee,et al.  A Simple Model of Herd Behavior , 1992 .

[48]  Michael W. Macy,et al.  In Search of Excellence: Fads, Success Stories, and Adaptive Emulation1 , 2001, American Journal of Sociology.

[49]  D. Secchi,et al.  Super-docility in organizations: an evolutionary model , 2009 .

[50]  Eric Abrahamson,et al.  Modeling Reputational and Informational Influences in Threshold Models of Bandwagon Innovation Diffusion , 1999, Comput. Math. Organ. Theory.

[51]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[52]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[53]  T. Knudsen.  Simon's Selection Theory: Why Docility Evolves to Breed Successful Altruism , 2003 .

[54]  Frank E. Ritter,et al.  Determining the number of simulation runs: Treating simulations as theories by not sampling their behavior , 2011 .

[55]  Corinne A. Coen.  Simple but not simpler , 2009, Comput. Math. Organ. Theory.

[56]  Steve Selvin.  Survival Analysis for Epidemiologic and Medical Research: Contents , 2008 .

[57]  John W. Meyer,et al.  Institutional conditions for diffusion , 1993 .

[58]  D. Strang,et al.  Spatial and Temporal Heterogeneity in Diffusion , 1993, American Journal of Sociology.

[59]  Raymond A. Noe,et al.  JUSTICE IN TEAMS: ANTECEDENTS AND CONSEQUENCES OF PROCEDURAL JUSTICE CLIMATE , 2002 .

[60]  R. Pieters,et al.  When demand accelerates demand: Trailing the bandwagon , 2009 .

[61]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[62]  Jun Xia,et al.  Mimetic entry and bandwagon effect: the rise and decline of international equity joint venture in China , 2008 .

[63]  Lori Rosenkopf,et al.  INSTITUTIONAL AND COMPETITIVE BANDWAGONS: USING MATHEMATICAL MODELING AS A TOOL TO EXPLORE INNOVATION DIFFUSION , 1993 .

[64]  Eric Abrahamson.  Managerial Fads and Fashions: The Diffusion and Rejection of Innovations , 1991 .

[65]  Daniel A. Levinthal,et al.  Crossing an Apparent Chasm: Bridging Mindful and Less-Mindful Perspectives on Organizational Learning , 2006, Organ. Sci..

[66]  Steve Selvin.  Survival Analysis for Epidemiologic and Medical Research: Survival Analysis for Epidemiologic and Medical Research , 2008 .

[67]  Kathleen M. Carley.  Communication Technologies and their Effect on Cultural Homogeneity, Consensus, and the Diffusion of New Ideas , 1995 .

[68]  R. Axelrod.  The Dissemination of Culture , 1997 .

[69]  J. Gareth Polhill,et al.  Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change , 2008, J. Artif. Soc. Soc. Simul..

[70]  Matthias Meyer,et al.  Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments , 2011, Computational and Mathematical Organization Theory.

[71]  M. Bazerman.  Judgement in Managerial Decision Making , 2003 .

[72]  K. Weick,et al.  Organizing for high reliability: Processes of collective mindfulness. , 1999 .

[73]  Ugo Merlone,et al.  A multi-agent simulation platform for modeling perfectly rational and bounded-rational agents in organizations , 2002, J. Artif. Soc. Soc. Simul..

[74]  Robert A. Burgelman.  A Process Model of Internal Corporate Venturing in the Diversified Major Firm , 1983 .

[75]  Charles B. Fleming,et al.  Opening the Black Box: Using Process Evaluation Measures to Assess Implementation and Theory Building , 1999, American journal of community psychology.

[76]  Kathleen M. Carley,et al.  Modeling Organizational Adaptation as a Simulated Annealing Process , 1996 .

[77]  E. Hutchins.  Cognition in the wild , 1995 .

[78]  Corinne A. Coen,et al.  Contrast or assimilation: choosing camps in simple or realistic modeling , 2009, Comput. Math. Organ. Theory.

[79]  Chris Argyris,et al.  Reinforcing organizational defensive routines: An unintended human resources activity , 1986 .

[80]  Z. Kunda,et al.  Social Cognition: Making Sense of People , 1999 .

[81]  Martin Marshall,et al.  The quantitative measurement of organizational culture in health care: a review of the available instruments. , 2003, Health services research.

[82]  Jeffrey R. Edwards,et al.  4 Person–Environment Fit in Organizations: An Assessment of Theoretical Progress , 2008 .

[83]  D. Secchi.  A case for agent-based models in organizational behavior and team research , 2015 .

[84]  Guido Fioretti,et al.  Agent-Based Simulation Models in Organization Science , 2011 .

[85]  Daniel A. Levinthal,et al.  Perspective - Neo-Carnegie: The Carnegie School's Past, Present, and Reconstructing for the Future , 2007, Organ. Sci..

[86]  A. Bandura.  Social learning theory , 1977 .

[87]  E. Schein.  Culture: The Missing Concept in Organization Studies. , 1996 .

[88]  Nitin Pangarkar.  What drives merger behavior of firms? Strategic momentum versus bandwagons , 2000 .

[89]  Davide Secchi,et al.  Agent-Based Simulation of Organizational Behavior: New Frontiers of Social Science Research , 2016 .

[90]  Kathleen M. Carley,et al.  Introduction to the Special Issue: Applications of Complexity Theory to Organization Science , 1999, Organization Science.

[91]  Mooweon Rhee,et al.  Exploration and Exploitation , 2016 .

[92]  Thomas A. Finholt,et al.  Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion , 2002, Comput. Math. Organ. Theory.

[93]  Robert L. Goldstone,et al.  Computational models of collective behavior , 2005, Trends in Cognitive Sciences.

[94]  Kathleen M. Carley,et al.  The nature of the social agent , 1994 .

[95]  Ellen J. Langer,et al.  Minding Matters: The Consequences of Mindlessness–Mindfulness , 1989 .

[96]  G. Nigel Gilbert,et al.  Simulation for the social scientist , 1999 .

[97]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[98]  J. March.  Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[99]  W. Richard Scott.  Organizations: Rational, Natural, and Open Systems , 1981 .

[100]  R. David,et al.  WHEN FASHION IS FLEETING: TRANSITORY COLLECTIVE BELIEFS AND THE DYNAMICS OF TQM CONSULTING , 2006 .

[101]  C. Argyris.  Reasons and rationalizations : the limits to organizational knowledge , 2004 .

[102]  Nitin Pangarkar,et al.  Bandwagon Pressures and Interfirm Alliances in the Global Pharmaceutical Industry , 1998 .

[103]  E. Esposito.  Originality through Imitation: The Rationality of Fashion , 2011 .

[104]  Mark S. Granovetter.  The Strength of Weak Ties , 1973, American Journal of Sociology.

[105]  Eric Abrahamson,et al.  The Iron Cage: Ugly, Uncool, and Unfashionable , 2011 .

[106]  J. March,et al.  An introduction to models in the social sciences , 1975 .

[107]  C. Marlene Fiol,et al.  Waking Up! Mindfulness in the Face of Bandwagons , 2003 .

[108]  Edwin Hutchins,et al.  Organizing Work by Adaptation , 1991 .

[109]  S. Klein,et al.  Bandwagon Pressures and Interfirm Alliances in the Global Pharmaceutical Industry , 1998 .

[110]  A. Clark,et al.  The Extended Mind , 1998, Analysis.

[111]  Jan W. Rivkin,et al.  Speed and Search: Designing Organizations for Turbulence and Complexity , 2005, Organ. Sci..

[112]  Vallabh Sambamurthy,et al.  Social Contagion and Information Technology Diffusion: The Adoption of Electronic Medical Records in U.S. Hospitals , 2010, Manag. Sci..

[113]  David R. Cox,et al.  Regression models and life tables (with discussion , 1972 .

[114]  C. Anthony Di Benedetto,et al.  Diffusion of Innovation , 2015 .

[115]  Edward M. Reingold,et al.  Graph drawing by force‐directed placement , 1991, Softw. Pract. Exp..

[116]  D. Strang,et al.  DIFFUSION IN ORGANIZATIONS AND SOCIAL MOVEMENTS: From Hybrid Corn to Poison Pills , 1998 .

[117]  Brian T. Pentland,et al.  Dynamics of Performing and Remembering Organizational Routines , 2012 .

[118]  A. Clark,et al.  Books , 2004, INTR.