Auszug
Das Kernanliegen des Marketing besteht darin, das Zustandekommen von Austauschprozessen zwischen Anbietern und Nachfragern zu erklären und Unternehmen Hinweise für die Ausgestaltung dieser Austauschprozesse zu geben (Müller-Hagedorn, Schuckel 2003, S. 23). Ein solcher Austausch findet regelmäßig über Märkte statt. Das Geschehen auf diesen Märkten stellt sich in jüngster Zeit zunehmend als dynamisch, nichtlinear und komplex heraus (Arthur 1999, EU Kommission 2005). Ursachen für diese Entwicklung können u.a. in der Liberalisierung einzelner Branchen, zunehmender internationaler Verflechtung und Konkurrenz im Zuge der Globalisierung, neuen Informations- und Kommunikationstechnologien, politischen Instabilitäten und neuen gesetzlichen Regelungen, drastischen Energiepreissteigerungen etc. gesehen werden. Auswirkungen haben diese Entwicklungen auch auf die Komplexität innerbetrieblicher Abläufe. So sehen in einer weltweiten Studie von PricewaterhouseCoopers (2006) 77% der Firmenchefs das Management der steigenden Komplexität als große Herausforderung an und in fast allen befragten Unternehmen (97%) werden bereits Programme zur Komplexitätsreduktion umgesetzt.
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Literatur
Albert, R., Barabàsi, A. L.: Statistical mechanics of complex networks, in: Reviews of Modern Physics, Vol. 74 (2002), No. 1, S. 47–97
Alkemade, F., Castaldi, C.: Strategies for the Diffusion of Innovations on Social Networks, in: Computational Economics, Vol. 25 (2005), No. 1, S. 3–23
Amaral, L. A. N., Scala, A., Barthelemy, M., Stanley, H. E.: Classes of Small-World Networks, in: Proceedings of the National Academy of Sciences, Vol. 97 (2000), No. 21, S. 11149–11152
Arthur, W. B.: Complexity and the Economy, in: Science, Vol. 284 (1999), No. 5411, S. 107–109
Axelrod, R.: Advancing the Art of Simulation in the Social Sciences, in: Japanese Journal for Management Information System, Special Issue on Agent-Based Modeling, Vol. 12 (2003), No. 3, S. 1–19
Axelrod, R.: Advancing the Art of Simulation in the Social Sciences, in: Conte, R., Hegelmann, R., Terna, P. (Hrsg.): Simulating Social Phenomena, Berlin 1997, S. 21–40
Axtell, R.: The New Coevolution of Information Science and Social Science — From Software Agents to Artificial Societies and Back or How More Computing Became Different Computing, http://www.econ.iastate.edu/tesfatsi/compsoc.axtell.pdf, o.J., Zugriff am 08.12.2006
Barabàsi, A. L., Albert, R.: Emergence of Scaling in Random Networks, in: Science, Vol. 286 (1999), No. 5439, S. 509–512
Barthélémy, M., Amaral, L. A. N.: Small-World Networks: Evidence for a Crossover Picture, in: Physical Review Letters, Vol. 82 (1999), No. 15, S. 3180–3183
Bass, F. M.: A new product growth for model consumer durables, in: Management Science, Vol. 15 (1969), No. 5, S. 215–227
Ben Said, L., Bouron, T., Drogoul, A.: Agent-based Interaction Analysis of Consumer Behavior, in: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, Bologna 2002, S. 184–190
Bonabeau, E.: Predicting the Unpredictable, in: Harvard Business Review, Vol. 80 (2002), No. 3, S. 5–11
Brannon, E., Ulrich, P. V., Anderson, L. J., Presley, A. B.: Agent-based Simulation of the Consumer’s Apparel Purchase Decision, Research Proposal, http://www.p2pays.org/ref/08/07139.pdf, 2000, Zugriff am 08.12.06
Chatterjee, R., Eliashberg, J.: The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach, in: Management Science, Vol. 36 (1990), No. 9, S. 1057–1079
Cowan, R., Cowan, W., Swann, P.: A Model of Demand with Interaction among Consumers, in: International Journal of Industrial Organisation, Vol. 15 (1997), No. 6, S. 711–732
Cowan, R., Jonard, N.: Network Structure and the Diffusion of Knowledge, in: Journal of Economic Dynamics & Control, Vol. 28 (2004), No. 8, S. 1557–1575
Delre, S. A., Jager, W., Janssen, M. A.: Diffusion Dynamics of Small World Networks with Heterogeneous Consumers, in: ai]Troitsch, K. (Hrsg.): Representing Social Reality, Pre-Proceedings of the 3rd Conference of the ESSA, Koblenz, September 2005, S. 378–387
EU Kommission: Der EU Jahreswirtschaftsbericht 2005
Farrel, J., Saloner, G.: Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation, in: The American Economic Review, Vol. 76 (1986), No. 5, S. 940–955
Frels, J. K, Reggia, J. A., Heisler, D.: Standard Scape: An Agent-based Model of Competition in Markets with Network Externalities, in: MSI Working Paper Series, 2005, No. 05-002, S. 3–19
Garcia, R.: Use of Agent-Based Modeling in Innovation/New Product Development Research, in: Journal of Product Innovation Management, Vol. 22 (2005) No. 5, S. 380–398
Garcia, R., Zhao, M., Calantone, R.: The Premature Release of next Generation Technologically-Advancing Products. Paper presented at the INFORMS 25th Marketing Science Conference, College Park/MD, June 2003
Gilbert, N.: A Simulation of the Structure of Academic Science, in: Sociological Research Online, Vol. 2, (1997), No. 2, http://www.socresonline.org.uk/socresonline/2/2/3.htm, S. 1–17, Zugriff am 08.12.2005
Goldenberg, J., Libai, B., Muller, E.: Riding the Saddle: How Cross-Market Communications can Create a Major Slump in Sales, in: Journal of Marketing, Vol. 66 (2002), No. 2, S. 1–16
Goldenberg, J., Libai, B., Muller, E.: The Chilling Effect of Network Externalities on New Product Growth. Working Paper, Tel Aviv 2004
Granovetter, M.: Threshold Models of Collective Behavior, in: American Journal of Sociology, Vol. 83 (1978), No. 6, S. 1420–1443
Guardiola, X., Díaz-Guilera, A., Pérez, C. J., Arenas, A., Llas, M.: Modelling Diffusion of Innovations in a Social Network, Working Paper 0204141, April 2002, http://xxx.lanl.gov/PS_cache/ cond-mat/pdf/0204/0204141.pdf, Zugriff am 08.12.2006
Handcock, M. S.: Assessing Degeneracy in Statistical Models of Social Networks, Working Paper No. 39, Center for Statistics and the Social Sciences, University of Washington 2003
Heppenstall, A., Evans, A., Birkin, M.: Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets, in: Journal of Artificial Societies and Social Simulation, Vol. 9 (2006), No. 3, S. 1–18
Holland, J. H., Miller, J. H.: Artificial Adaptive Agents in Economic Theory, in: American Economic Review, Vol. 81 (1991), No. 2, S. 365–370
Jager, W.: Modelling Consumer Behaviour, Groningen 2000
Janssen, M. A., Jager, W.: Simulating Market Dynamics: Interactions between Consumer Psychology and Social Networks, in: Artificial Life, Vol. 9 (2003), No. 4, S. 343–356
Katz, M. L., Shapiro, C.: Network Externalities, Competition, and Compatibility, in: The American Economic Review, Vol. 75 (1985), No. 3, S. 424–440
Lewin, R: Complexity: Life at the Edge of Chaos, Chicago/IL 1999
Liehr, M.: Die Adoption von Kritische-Masse-Systemen, Wiesbaden 2005
Lusch, R. F., Tay, N. S. P.: Agent-based Modeling: Gaining Insight into Firm and Industry Performance, in: Moorman, C., Lehmann, D. (Hrsg.): Assessing Marketing Strategy Performance, Cambridge/MA 2004, S. 213–227
Macy, M. W., Willer, R.: From Factors to Actors — Computational Sociology and Agent-Based Modeling, in: Annual Review of Sociology, Vol. 28 (2002), S. 143–166
Makoto, M.: Forecasting Hits in the J-Pop Market — A Practical Application of Multi-agent Simulation in Japan, SFI Business Network: Tutorial on Complexity and Agent Based Modeling 2000, http://www.comdig.de/ComDig00-03/JPOP-summary-E.htm, 2000, Zugriff am 06.10.2006
Midgley, D., Marks, R., Coopers, L.: Breeding Competitive Strategies, in: Management Science, Vol. 43 (1997) No. 3, S. 257–275
Milgram, S.: The Small World Problem, in: Psychology Today, Vol. 2 (1967), No. 1, S. 60–67
Moldovan, S., Goldenberg, J.: Cellular Automata Modeling of Resistance to Innovations: Effects and Solutions, in: Technological Forecasting and Social Change, Vol. 71 (2004), No. 5, S. 425–442
Müller-Hagedorn, L.: Marketing ohne verhaltenswissenschaftliche Fundierung?, in: Marketing — Zeitschrift für Forschung und Praxis, 5. Jg. (1983), Nr. 3, S. 205–211
Müller-Hagedorn, L., Schuckel, M.: Einführung in das Marketing, Stuttgart 2003
Newman, M. E. J., Strogatz, S. H., Watts, D. J.: Random graphs with arbitrary degree distributions and their applications, in: Physical Review E, Vol. 64 (2001), No. 2, S. 1–17
Newman, M. E. J.: The Structure and Function of Complex Networks, in: SIAM Review, Vol. 45 (2003), No. 2, S. 167–256
North, M., Conzelmann, G., Koritarov, V., Macal, C., Thimmapuram, P., Veselka, T.: E Laboratories: Agent-Based Modeling of Electricity Markets, Paper presented at the 2002 American Power Conference, April 15–17, Chicago 2002
PricewaterhouseCoopers: 9th Annual Global CEO Survey — Globalisation and Complexity 2006, http://www.pwc.com/extweb/insights.nsf/docid/04C2B11D81F7A050852570F9006DBBCB/$FILE/9th_Annual_Global_CEO_Survey.pdf, 2006, Zugriff am 06.10.2006
Rahmandad, H., Sterman, J.: Heterogeneity and Network Structure in the Dynamics of Diffusion: Comparing Agent-Based and Differential Equation Models, MIT Sloan Working Paper 4512-04, Cambridge/MA 2004
Robins, G., Pattison, P., Woolcock, J.: Small and Other Worlds: Global Network Structures from Local Processes, in: American Journal of Sociology, Vol. 110 (2005), No. 4, S. 894–936
Schenk, T. A., Klügl, F., Löffler, G., Puppe, F., Rauh, J.: Multiagentensysteme zur Simulation von Konsumentenverhalten, in: Hallesches Jahrbuch für Geowissenschaften, Reihe A, Bd. 26 (2004), S. 117–130
Schwaiger, A. Stahmer, B.: SimMarket: Multiagent-Based Customer Simulation and Decision Support for Category Management, in: Schillo, M., Klusch, M., Müller, J., Tianfield, H. (Hrsg.): Lecture Notes in Computer Science, Berlin 2003, S. 74–84
Tay, N. S. P., Lusch, R. F.: A Preliminary Test of Hunt’s General Theory of Competition: Using Artificial Adaptive Agents to Study Complex and Ill-Defined Environments, in: Journal of Business Research, Vol. 58 (2005), No. 9, S. 1155–1168
Tesfatsion, L.: Agent-Based Computational Economics — A Constructive Approach to Economic Theory, in: Judd, K. L., Tesfatsion, L. (Hrsg.): Handbook of Computational Economics, Vol. 2 (2006) Agent-Based Computational Economics, Handbooks in Economics Series, Amsterdam u.a. 2006, S. 831–880
Tesfatsion, L.: Agent-Based Computational Economics: Growing Economies from the Bottom Up, ISU Economics Working Paper, No. 1, 2002
Tesfatsion, L.: Economic Agents and Markets as Emergent Phenomena. Working Paper, Department of Economics, Iowa State University, Iowa 2001
Twomey, P., Cadman, R.: Agent-based Modeling of Customer Behaviour in the Telecoms and Media Markets, in: info, Vol. 4 (2002) No. 1, S. 56–63
Valente, M.: Evolutionary Economics and Computer Simulations — A Model for the Evolution of Markets — Volume I: Consumer Behaviour and Technological Complexity in the Evolution of Markets, 1999
Valente, T. W.: Network of Models of Diffusion of Innovation. Cresskill/NJ 1995
Venables, M., Bilge, U.: Complex Adaptive Modelling at J Sainsbury: The SimStore Supermarket Supply Chain Experiment, Presentation at the LSE Strategy & Complexity Seminar, http://www.psych.lse.ac.uk/complexity/Seminars/1998/report98mar.htm, 1998, Zugriff am 06.10. 2006
Waldrop, M.: Complexity, New York/NY 1994
Watts, D. J.: Networks, Dynamics, and the Small-World Phenomenon, in: American Journal of Sociology, Vol. 105 (1999), No. 2, S. 493–527
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Adler, J., Khatami, T. (2007). Agentenbasierte Modellierung im Marketing — Eine Illustration am Beispiel der Diffusion von Produktinnovationen mit direkten Netzeffekten. In: Schuckel, M., Toporowski, W. (eds) Theoretische Fundierung und praktische Relevanz der Handelsforschung. DUV. https://doi.org/10.1007/978-3-8350-9535-9_12
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