A research design proposal combining case study and multi-agent simulation for analyzing complex and emergent processes in Information Systems

Authors

  • Johanna Habib Université Valenciennes, Laboratoire IDP
  • François de Corbière IMT Atlantique, LEMNA

Keywords:

research design, information systems, emerging and complex processes, case study, multi-agent simulation, validity of results.

Abstract

Simulation methods are more and more used in organization sciences. However, few researches in management of information systems integrate this methodological approach. In this paper, we first highlight simulation relevance to analyze complex and emergent phenomena. Then, the value of a research design combining two methodological approaches, case study and multi-agent simulation, is argued. Two simulation models are used to illustrate the contribution of combining both the methods, especially for improving validity of the simulation results. Qualitative foundations of the simulation improve the validity of the model built as well as they allow a better interpretation of simulation results. In return, simulation allows formulating new questions more theoretical and prospective, and also reinforces the theoretical generalization of results. Nevertheless this methodological combination leads to review the positioning of simulation in the research design. The simulation doesn’t hold a central place in the scientific knowledge building but more a complementary place, allow to surpass the case study and to renew the researcher questions.

References

Abrahamson, E., Rosenkopf, L. (1997), “Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation”, Organization Science, vol. 8, n°3, p.289-309.

Akrich, M., Callon, M., Latour, B. (1988), « A quoi tient le succès des innovations? L’art de l’intéressement », Gérer et comprendre, Annales des Mines, vol. 11, p. 4-17.

Allard-Poesi, F., Drucker-Godard, C., Ehlinger, S. (2003), « Analyses de représentations et de discours », in R.-A. Thiétart et al. (Eds.), Méthodes de Recherche en Management, Dunod, Paris, 2ième éd., p. 449-475.

Amblard, F., Rouchier, J., Bommel, P. (2006), « Evaluation et validation de modèles multi-agents », in F. Amblard et D. Phan (Eds.), Modélisation et simulation multi-agents, applications pour les sciences de l’Homme et de la Société, Hermès Science, Lavoisier, Paris, p. 103-140.

Axelrod, R. (1997), “Advancing the Art of Simulation in the Social Sciences”, Complexity, vol. 3, n°2, p. 16-22.

Bachelard, G. (1971), Epistémologie. Textes choisis par Dominique Lecourt, PUF, Paris.

Bhaskaran, S., (1998), Simulation Analysis of a Manufacturing Supply Chain, Decision Sciences, vol. 29, n°3, p. 633-657.

Beaufils, B., Brandouy, O., Ma, L., Mathieu, P. (2009), Simuler pour comprendre : un éclairage sur les dynamiques de marchés financiers à l'aide des systèmes multi-agents, Systèmes d'Information et Management, vol. 14, n°4, p. 51-70.

Boland, R.J. Jr., Thiel, D. (2009), éditorial « un numéro spécial consacré aux simulations », Systèmes d’Information et Management, vol. 14, n°4, p. 3-5

Bonabeau, E. (2002), “Agent-Based Modeling: Methods and Techniques for Simulating Human Systems”, Proceedings of the National Academy of Sciences of the United States of America, p. 7280–7287.

Bonini, C. (1963), Simulation of Information and Decision Systems in the Firm. Prentice-Hall, Englewood Cliffs, NJ.

Canessa, E., Riolo, R. (2006), “An agent-based model of the impact of computer-mediated communication on organizational culture and performance: an example of the application of complex systems analysis tools to the study of CIS”, Journal of Information Technology, vol. 21, n°4, p. 272-283.

Carley, K. M. (1996), “Validating Computational Models”, WP, Social and Decision Sciences, Carnegie Mellon University, Pittsburg, PA.

Cartier, M., Forgues, B. (2006), « Simulation et recherche en gestion. Intérêt de la simulation pour les sciences de gestion », Revue Française de Gestion, n°165, p.125-138.

Charreire, S., Durieux, F. (2003), « Explorer et tester : deux voies pour la recherche », in R.-A. Thiétart et al. (Eds.), Méthodes de recherche en management, Dunod, Paris 2ième éd., p. 57-81.

Chen, A., Edgington, T. (2005), “Assessing Value in Organizational Knowledge Creation: Considerations for Knowledge Workers”, MIS Quarterly, vol. 29, n°2, p. 279–309

Cyert, R.M., March, J.M. (1963), A Behavioral Theory of the Firm. Prentice Hall, Englewood cliffs, NJ.

David, A. (2002), « Décision, conception et recherche en gestion », Revue Française de Gestion, n°139, p. 173-185.

Datta, P.P., Christopher, M.G. (2011), “Information Sharing and Coordination Mechanisms for Managing Uncertainty in Supply Chains: a simulation study”, International Journal of Production Research, vol. 49, n°3, p. 765-803.

David, A. (2000), « La recherche-intervention, cadre général pour la recherche en management ? », in A. David, A. Hatchuel et R. Laufer (Eds.), Les nouvelles fondations des sciences de gestion, Vuibert, coll. FNEGE, Paris, p. 193-213.

Davis, J., Eisenhardt, K., et Bingham, C. (2007), "Developing theory through simulation methods," Academy of Management Review, vol. 32, n°2, p. 480-499.

de Corbière, F., Durand, B., Rowe, F. (2010), Effets économiques et environnementaux de la mutualisation des informations logistiques de distribution: avis d’experts et voies de recherche, Management & Avenir, n°39, p. 233-249

de Corbière, F., Rowe, F. (2013), Systèmes d’information et gouvernance des chaînes logistiques : le cas des Centres de Consolidation et de Collaboration, Logistique & Management, vol. 21, n°2, p. 47-56.

de Corbière, F., Takeda, H., Habib, J., Rowe, F., Thiel, D. (2016), A simulation approach for analyzing the influence of information quality on the deployment of a green supply chain. 24th European Conference on Information Systems (ECIS), Istanbul.

Denzin, N.K. (1984), The research act. Prentice Hall, Englewood Cliffs, NJ.

Desmond, N.G., (2004), “The social dynamics of diverse and closed networks”, Human Systems Management, Vol. 23, Issue 2, pp.111-122.

Dooley, K. (2002), Simulation research methods, in J.A.C. Baum (Eds.) Companion to organizations, Blackwell, Oxford.

Durand, R. (2006), « Essai : réalité simulée ou "pour de vrai" ? », Revue Française de Gestion, n°165, p. 211-217.

Epstein, J.M., Axtell, R.L. (1996), Growing artificial societies. Social science from

the Bottom Up. MIT Press, Cambridge, MA.

Eve, R.A., Horsfall, S., Lee, M.E. (1997), Chaos, Complexity and Sociology. Sage, London.

Gilbert, N. (1996), “Computer Simulation of Social Processes”, Social Research Update, Issue Six, http://www.soc.surrey.ac.uk/sru/SRU6.html.

Gilbert, N., Troitzsch, K.G. (1999), Simulation for the Social Scientist. Open University Press, London.

Gilbert, N. (2004), “Quality, quantity and the third way”, In J. Holland & J. Campbell (Eds.), Methods in development research: Combining qualitative and quantitative approaches. ITDG Publications, London.

Habib J., (2008), « The dynamics of Knowledge Creation within Innovation Processes: From Case studies to Agent-based Modelling », Annual Conference of ICIS - International Conference on Information Systems, December, Paris.

Harrison, J.R., Lin, Z., Carroll, G.R., Carley, K.M. (2007), “Simulation modelling in organizational and management research”, Academy of Management Review, vol. 32, n°4, p. 1229-1245.

Holland, J.H. (1998), Emergence: From Chaos to Order. Oxford University Press, Oxford.

Huber, G. (1990), “A Theory of the Effects of Advanced Information Technologies on Organizational Design, Intelligence, and Decision Making”, Academy of Management Review, vol. 15, n°1, p. 47-71.

Huigang, L., Saraf, N., Qing, H., Yajiong, X. (2007), “Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management." MIS Quarterly, vol. 31, n°1, p. 59-87

Iansiti, M., MacCormack, A. (1997), “Developing Products on Internet Time”, Harvard Business Review, septembre-octobre, p. 108-117.

Kitts, A.J, Michael, M.W., Flache, A. (1999), “Structural Learning : Attraction and Conformity in Task-Oriented Groups”, Computational & Mathematical Organization Theory, vol. 5, n°2, p. 129-145.

Kleindorfer, G.B., O’Neill, L., Ganeshan, R. (1998), “Validation in Simulation: Various Positions in the Philosophy of Sciences”, Management Science, vol. 44, n°8, p. 1087-1099.

Kline, S.J., Rosenberg, N. (1986), “Innovation: an overview”, in R. Landau, and N. Rosenberg, The Positive Sum Strategy, The National Academies Press, Washington, DC.

Lauriol, J. (2003), « La Recherche Doctorale en Management Stratégique: Quelques Propositions pour Définir et Apprécier une Bonne Thèse », Cahier de recherche N° 02-01, Les Cahiers de la Chaire de management stratégique international.

Le Moigne, J.L. (1990), La modélisation des systèmes complexes, Éd. Dunod. Réédité en 1995.

Liarte, S. (2005), Stratégies d’implantation et interactions concurrentielles : le cas des entreprises multi-unités multi-marchés, Thèse de Doctorat en Sciences de Gestion, Université Paris Dauphine, 2005.

Macy, M.W., Willer, R. (2002), “From factors to actors: Computational sociology and agent-based modelling”, Annual Review of Sociology, vol. 28, p. 143–166.

March, J.G. (1991), “Exploration and exploitation in organizational learning”, Organization Science, vol. 2, n°1, p. 71–87.

Marion, R. (1999), The Edge of Organization: Chaos and Complexity Theories of Formal Social Systems. Sage, Thousand Oaks, CA.

Masuch, M., Lapotin, P. (1989), “Beyond Garbage Cans: An AI Model of Organizational Choice”, Administrative Science Quarterly, vol. 34, n°1, p. 38-67.

McKelvey, B. (1997), “Quasi-natural organization science”, Organization Science, vol. 8, n°4, p. 352-380.

Nilsson, F., Darley, V. (2006), “On complex adaptive systems and agent-based modelling for improving decision-making in manufacturing and logistics settings: Experiences from a packaging company”, International Journal of Operations & Production Management, vol. 26, n°12, p. 1351-1373

Nonaka, I., Takeuchi, H. (1995), The Knowledge-creating company: how japanese companies create the dynamics of innovation, Oxford University Press, New York, NY.

Otto, P., Siemer, W. (2009), « Learning from cognitive feedback mapping and simulation: A group modeling intervention », Systèmes d’Information et Management, vol. 14, n°4, p. 9-30.

Ow, P.S., Prietula, M., Hsu, W. (1989), "Configuring Knowledge-based Systems to Organizational Structures: Issues and Examples in Multiple Agent Support," in L.F. Pau, Y.H. Pao, J. Motiwalla and H.H. Teh (Eds.), Proceedings of the Second International IFIP/ IFAC/IFORS Workshop on Artificial Intelligence in Economics and Management, Elsevier, Amsterdam.

Panayiotou, N., Evangelopoulos, N. (2009), “Simulation applied to Evaluate and Improve the Operation of a Soccer Ticket Club Call Centre”, Systèmes d'Information et Management, vol. 14, n°4, p. 31-50

Pascal, A., Thomas, C., Romme, A.G.L. (2013), “developing a human-centered and science-based approach to design: the knowledge management plateform project", British Journal of Management, vol. 24, n°2, p. 264-280.

Patton, M.Q. (2002), Qualitative research & evaluation methods (3rd ed.). Sage Publications, Thousand Oaks, CA.

Pierce, C.S. (1958), The Collected Works of Charles Sanders Peirce. Harvard University Press, Cambridge, MA.

Prajogo, D., Olhager, J. (2012), "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, vol. 135, n°1, p. 514-522.

Prietula, M.J., Carley, K.M, Gasser, L. (1998), Simulating Organizations. M.I.T. Press, Menlo Park, Ca.

Rai, A., Patnayakuni, R., Seth, N., (2006), “Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities”, MIS Quarterly, vol. 30, n°2, p. 225-246.

Repenning, N. (2002), “A simulation-based approach to understanding the dynamics of innovation implementation”, Organization Science, vol. 13, n°2, p. 109–127.

Rivkin, J.W., Siggelkow, N. (2003), “Balancing search and stability: Interdependencies among elements of organizational design”, Management Science, vol. 49, n°3, p. 290–311.

Roggero, P. (2005), De la complexité des politiques locales. Systèmes d'action et, enseignement supérieur dans les villes moyennes de Midi-Pyrénées. L'Harmattan, coll. Pratique de la systémique, Paris.

Rouwette, E.A.J.A, Vennix, J.A.M., Thijssen, C.M. (2000), “Group model building: a decision room approach”, Simulation and Gaming, vol. 31, n°3, p. 359-379.

Royer, I., Zarlowski, P. (2003), Le design de la recherche, in R.-A. Thiétart et al. (Eds.) Méthodes de recherche en management. Dunod, Paris, 2ième éd., p. 139-168.

Stacey, R.D. (1995), “The science of complexity: an alternative perspective for strategic change processes”, Strategic Management Journal, vol. 16, p. 477-495.

Sterman, J.D. (2006), Operational and Behavioural Causes of Supply Chain Instability, in O. Carranza and F. Villegas (Eds.), The Bullwhip Effect in Supply Chain. Palgrave MacMillan, Basingtoke.

Van de Ven, A.H., Angle, H.L., Poole, M.S. et al. (2000), Research on the Management of Innovation: the Minnesota Studies. Oxford University Press, Oxford.

Yin, R.K. (1989). Case study research: Design and methods. Applied Social Research Series. Vol 5. London. Sage.

Yin, R.K. (1994), Applications of case study research, Design and methods. Sage Publications, Newbury Park, CA.

Wang, S.J., Wang, W.L., Huang, C.T., Chen, S.-C. (2011), “Improving inventory effectiveness in RFID-enabled global supply chain with Grey forecasting model”, The Journal of Strategic Information Systems, vol. 20, n°3, p. 307-322

Weber, M. (1965), Essais sur la théorie de la science. Plon, Paris.

Published

2018-07-25

How to Cite

Habib, J., & de Corbière, F. (2018). A research design proposal combining case study and multi-agent simulation for analyzing complex and emergent processes in Information Systems. Systèmes d’Information Et Management (French Journal of Management Information Systems), 23(3). Retrieved from https://revuesim.org/index.php/sim/article/view/825

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