Agent-based simulation models can reproduce the interactions between members of an organization or between different organizations in an artificial environment where “agents” make decisions and communicate with one another. This article discusses possible applications to core issues in organization science and provides an introductory guide to simulation platforms. Agent-based modeling requires writing computer code, a skill that, if properly mastered, may turn into a career opportunity.
AhrweilerP.GilbertN.PykaA. (2011). Agency and structure: A social simulation of knowledge-intensive industries. Computational and Mathematical Organization Theory, 17, 59–76.
2.
AmisJ. M.SilkM. L. (2008). The philosophy and politics of quality in qualitative organizational research. Organizational Research Methods, 11, 456–480.
3.
AndersonP. (1999). Complexity theory and organization science. Organization Science, 10, 216–232.
4.
BarreteauO. (2003). Our companion modelling approach. Journal of Artificial Societies and Social Simulation, 6(1). Retrieved fromhttp://jasss.soc.surrey.ac.uk/6/2/1.html
5.
BendorJ.MoeT. M.ShottsK. W. (2001). Recycling the garbage can: An assessment of the research program. American Political Science Review, 95, 169–190.
6.
BonabeauE. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America, 99, 7280–7287.
7.
BrassD. J. (2002). Intraorganizational networks. In BaumJ. A. C. (Ed.), The Blackwell companion to organizations (pp. 138–157). Malden, MA: Blackwell Publishing.
8.
BurkW. J.SteglichC. E. G.SnijdersT. A. B. (2007). Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors. International Journal of Behavioral Development, 31, 397–404.
9.
BusenitzL. W.WestG. P. IIIShepherdD.NelsonT.ChandlerG. N.ZacharakisA. (2003). Entrepreneurship research in emergence: Past trends and future directions. Journal of Management, 29, 285–308.
10.
CamererC. F. (1991). Does strategy research need game theory?Strategic Management Journal, 12(SI2), 137–152.
11.
CedermanL. E. (2005). Computational models of social forms: Advancing generative process theory. American Journal of Sociology, 110, 864–893.
12.
CohenK. J.CyertR. M. (1965). Simulation of organizational behavior. In MarchJ. G. (Ed.), Handbook of organizations (pp. 305–334). Chicago, IL: Rand McNally.
13.
CohenM. D.MarchJ. G.OlsenJ. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17, 1–25.
14.
CrozierM.FriedbergE. (1980). Actors and systems: The politics of collective action. Chicago, IL: University of Chicago Press.
15.
CrozierM.ThoenigJ. C. (1976). The regulation of complex organized systems. Administrative Science Quarterly, 21, 547–570.
16.
DavisJ. P.EisenhardtK. M.BinghamC. B. (2007). Developing theory through simulation methods. Academy of Management Review, 32, 480–499.
17.
EcholsA.TsaiW. (2005). Niche and performance: The moderating role of network embeddedness. Strategic Management Journal, 26, 219–238.
18.
EpsteinJ. M. (1999). Agent-based computational models and generative social science. Complexity, 4, 41–60.
19.
EpsteinJ. M. (2006). Generative social science: Studies in agent-based computational modeling. Princeton, NJ: Princeton University Press.
FagioloG.MonetaA.WindrumP. (2007). A critical guide to empirical validation of agent-based models in economics: Methodologies, procedures, and open problems. Computational Economics, 30, 195–226.
22.
FangC. (2012). Organizational learning as credit assignment: A model and two experiments. Organization Science, 23(6), 1717–1732.
23.
FiorettiG.LomiA. (2010). Passing the buck in the garbage can model of organizational choice. Computational and Mathematical Organization Theory, 16, 113–143.
24.
FreemanJ. H.AudiaP. G. (2006). Community ecology and the sociology of organizations. Annual Review of Sociology, 32, 145–169.
25.
GancoM.AgarwalR. (2009). Performance differentials between diversifying entrants and entrepreneurial start-ups: A complexity approach. Academy of Management Review, 34, 228–252.
26.
GiddensA. (1984). The constitution of society: Outline of the theory of structure. Cambridge, MA: Polity Press.
27.
GilbertN.PykaA.AhrweilerP. (2001). Innovation networks—A simulation approach. Journal of Artificial Societies and Social Simulation, 4(3). Retrieved fromhttp://jasss.soc.surrey.ac.uk/4/3/8.html
28.
GouldS. P. (2002). The structure of evolutionary theory. Cambridge, MA: The Belknap Press of Harvard University Press.
29.
GrossD.StrandR. (2000). Can agent-based models assist decisions on large-scale practical problems? A philosophical analysis. Complexity, 5, 26–33.
30.
HarrisonJ. R.LinZ.CarrollG. R.CarleyK. M. (2007). Simulation modeling in organizational and management research. Academy of Management Review, 32, 1229–1245.
31.
IlgenD. R.HollenbeckJ. R.JohnsonM.JundtD. (2005). Teams in organizations: From input-process-output models to IMOI models. Annual Review of Psychology, 56, 517–543.
32.
KogutB. (2000). The network as knowledge: Generative rules and the emergence of structure. Strategic Management Journal, 21, 405–425.
33.
KunzJ. (2011). Group-level exploration and exploitation: A computer simulation-based analysis. Journal of Artificial Societies and Social Simulation, 14(4). Retrieved fromhttp://jasss.soc.surrey.ac.uk/14/4/18.html
34.
LatourB. (1988). The pasteurization of France. Cambridge, MA: Harvard University Press.
35.
LeitchC. M.HillF. M.HarrisonR. T. (2010). The philosophy and practice of interpretivist research in entrepreneurship: Quality, validation, and trust. Organizational Research Methods, 13, 67–84.
36.
LevinthalD. A. (1997). Adaptation on rugged landscapes. Management Science, 43, 934–950.
37.
LevinthalD. A.PosenH. E. (2007). Myopia of selection: Does organizational adaptation limit the efficacy of population selection?Administrative Science Quarterly, 52, 586–620.
38.
LomiA.LarsenE. R. (1996). Interacting locally and evolving globally: A computational approach to the dynamics of organizational populations. Academy of Management Journal, 39, 1287–1321.
39.
LomiA.LarsenE. R. (1998). Density delay and organizational survival: Computational models and empirical comparisons. Computational and Mathematical Organization Theory, 3, 219–247.
40.
LomiA.LarsenE. R. (2001). A computational perspective on age dependence in organizational mortality rates. In LomiA.LarsenE. R. (Eds.), Dynamics of organizations: Computational modelling and organizational theories (pp. 269–303). Cambridge, MA: The MIT Press.
41.
MacyM. W.WillerR. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28, 143–166.
42.
MarchJ. G. (1965). Handbook of organizations. Chicago, IL: Rand McNally.
43.
MarchJ. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2, 71–87.
44.
MarchJ. G. (2001). Foreword. In LomiA.LarsenE. R. (Eds.), Dynamics of organizations (pp. ix–xvii). Cambridge, MA: The MIT Press.
45.
MossS. (2008). Alternative approaches to the empirical validation of agent-based models. Journal of Artificial Societies and Social Simulation, 11(15). Retrieved fromhttp://jasss.soc.surrey.ac.uk/11/1/5.html
46.
PauksztatB.SteglichC.WittekR. (2011). Who speaks to whom? A relational approach to employee voice. Social Networks, 33, 303–316.
47.
PrattM. G. (2008). Fitting oval pegs into round holes: Tensions in evaluating and publishing qualitative research in top-tier North American journals. Organizational Research Methods, 11, 481–509.
48.
RivkinJ. W. (2000). Imitation of complex strategies. Management Science, 46, 824–844.
49.
RuefM. (2000). The emergence of organizational forms: A community ecology approach. The American Journal of Sociology, 106, 658–714.
50.
SalancikG. R. (1995). Wanted: A good network theory of organization. Administrative Science Quarterly, 40, 345–349.
51.
SnijdersT. A. B.van de BuntG. G.SteglichC. E. G. (2010). Introduction to stochastic actor-based models for network dynamics. Social Networks, 32, 44–60.
52.
SorensonO. (2003). Interdependence and adaptability: Organizational learning and the long-term effect of integration. Management Science, 49, 446–463.
53.
SteglichC.SnijdersT. A. B.PearsonM. (2010). Dynamic networks and behavior: Separating selection from influence. Sociological Methodology, 40, 329–393.
54.
TichyN. M.TushmanM. L.FombrunC. (1979). Social network analysis for organizations. The Academy of Management Review, 4, 507–519.
55.
WhitbreadR.FontiF.SteglichC.ContractorN. (2011). From microactions to macrostructure and back: A structurational approach to the evolution of organizational networks. Human Communication Research, 37, 404–433.
56.
WindrumP.FagioloG.MonetaA. (2007). Empirical validation of agent-based models in economics: Alternatives and prospects. Journal of Artificial Societies and Social Simulation, 10(2). Retrieved fromhttp://jasss.soc.surrey.ac.uk/10/2/8.html
