Podejście agentowe w modelowaniu zachowań konsumentów na rynku oligopolistycznym

• Autorzy: Agnieszka Kowalska-Styczeń

Warianty tytułu

The Agents Approach in the Consumer Behavior Modeling in an Oligopolistic Market

• Języki publikacji: PL

Abstrakty

W artykule przedstawiono możliwości zastosowania modeli agentowych do modelowania zachowań konsumentów. Zaprezentowano model oparty na dwuwymiarowym automacie komórkowym. Jako kluczowy mechanizm zmian preferencji konsumentów przyjęto przekazywanie informacji z ust do ust (word of mouth), ponieważ jest on decydującym narzędziem w tej sferze. W pracy pokazano przykłady zastosowania wyżej wymienionego modelu w sytuacji konkurencji na duopolistyczym rynku.(abstrakt oryginalny)

EN

The possibility of using agent models to model the consumers behavior is presented in this paper. Two dimensional cellular automaton has been used. As a key mechanism of consumer preferences changes, the communication of information 'word of mouth' (w-o-m) was adopted because it is a crucial tool in this area. The article shows examples of the above-mentioned model in the competitive situation in the duopoly market.(original abstract)

Słowa kluczowe

PL

Zachowania konsumenta; Konkurencja oligopolistyczna; Preferencje konsumenta

EN

Consumer behaviour; Oligopolistic competition; Consumer preferences

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2014
• Numer: z. 68
• Strony: 199--207

Twórcy

autor

Agnieszka Kowalska-Styczeń

• Politechnika Śląska

Bibliografia

• 1. Brass D.J.: Being in the right place - A structural analysis of individual influence in an organization. Administrative Science Quarterly, No. 29, p. 518-539, 1984.
• 2. Brown J.J., Reingen P.H.: Social Ties and Word-of-Mouth Referral Behavior. Journal of Consumer Research, Vol. 14, p. 350-362, 1987.
• 3. Bughin, J., Doogan, J., Vetvik, O.J.: A new way to measure word-of-mouth marketing, McKinsey Quarterly, p. 1-9, 2010.
• 4. Card S.K., Moran P.P., Newell A.P.: The model human processor, [in:] Handbook of Perception and Human Performance, eds. Boff, K.R., Kaufman, L., Thomas, J.P. (John Wiley and Sons, 1986).
• 5. Cokely E.T., Schooler L.J., Gigerenzer G.: Information use for decision making, Encyclopedia of Library and Information Sciences, 3rd edn., Vol. 1, p. 2727-2734, Taylor & Francis, 2009.
• 6. Davis J.P., Eisenhardt K.M., Bingham C.B.: Developing theory through simulation methods, Academy of Management Review, 32 (2), s. 480-499, 2007.
• 7. Dhami M.K., Harries C.: Information search in heuristic decision making, Appl. Cogn. Psychol., 24, 571-586, 2009.
• 8. Epstein J.M.: Agent-Based Computational Models And Generative Social Science, Complexity, John Wiley & Sons, Inc., 4 (5), 1999.
• 9. Garber T., Goldenberg J., Libai B., Muller E. From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success, Marketing Science, 23 (3), 419-428, 2004.
• 10. Godes D., Mayzlin D.: Firm-Created Word-of-Mouth Communication: Evidence from a Field Test, Marketing Science, 28 (4), s. 721-739, 2009.
• 11. Goldenberg J., Efroni S.: Using Cellular Automata Modeling of the Emergence of Innovation., Technological Forecasting and Social Change, 68 (3), s. 293-308, 2001.
• 12. Goldenberg J., Libai B., Muller E.: Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth, Marketing Letters; 12:3, s. 211-223, 2001.
• 13. Goldenberg J., Libai B., Muller E.: Using Complex Systems Analysis to Advance Marketing Theory Development: Modeling Heterogeneity Effects on New Product Growth through Stochastic Cellular Automata, Academy of Marketing Science Review, 9, 2001.
• 14. Goldenberg J., Libai B., Muller E.: Riding the Saddie: How Cross-Market Communications Can Create a Major Slump in Sales, Journal of Marketing, 66, s. 1-16, 2002.
• 15. Goldenberg J., Libai B., Muller E.: The chilling effects of network externalities, International Journal of Research in Marketing, 27, s. 4-15, 2010.
• 16. Goldsmith R.E., Horowitz D.: Measuring motivations for online opinion seeking, Journal of Interactive Advertising, Vol. 6 No. 2, Spring, s. 1-16, 2006.
• 17. Gotts N.M., Polhill J.G., Law A.N.R.: Agent-Based Simulation in the Study of Social Dilemmas, Artificial Intelligence Review 19, s. 3-92, 2003.
• 18. Guseo R., Guidolin M.: Modelling a dynamic market potential: A class of automata networks for diffusion of innovations, Technological Forecasting and Social Change, 76, s. 806-820, 2009.
• 19. Hennig-Thurau T., Walsh G.: Electronic word-of-mouth: motives for and consequences of reading consumer articulations on the Internet, International Journal of Electronic Commerce, Vol. 8 No. 2, Winter, s. 51-74, 2004.
• 20. Kowalska-Styczeń A.: Symulowanie złożonych procesów ekonomicznych za pomocą automatów komórkowych. Wydawnictwo Politechniki Śląskiej, Gliwice 2007.
• 21. Kowalska-Styczeń A.: Wpływ marketingu szeptanego na zachowania konsumentów na rynku oligopolistycznym, Zeszyty Naukowe Politechniki Śląskiej, Organizacja i Zarządzanie z. 64, Gliwice, 2013.
• 22. Kowalska-Styczeń A., Sznajd-Weron K.: Access to information in word of mouth marketing within a cellular automata model, Advances in Complex Systems Vol. 15, No. 7, 2012.
• 23. Ma F., Chao G.: Research on Communication Products Diffusion in China Using Cellular Automata. International Business Research, 4 (2), s. 147-152, 2011.
• 24. Macal C.M, North M.J.: Tutorial on agent-based modelling and simulation, Journal of Simulation, 4, s. 151-162, 2010.
• 25. Macy M.W, Willer R.: From factors to actors: Computational sociology and agent based modelling, Annual Review of Sociology, 28, 143-166, 2002.
• 26. Mahayan V., Muller E., Kerin R.A.: Introduction strategy for new products with positive and negative word-of mouth, Management Science, Vol. 30, No 12, s. 1389, 1984.
• 27. Maurice S.C., Thomas C.R.: Managerial Economic, 7th Edition, McGraw-Hill, New York, 1998.
• 28. Moldovan S., Goldenberg J.: Cellular automata modeling of resistance to innovations: Effects and solutions, Technological Forecasting and Social Change, 71, s. 425-442, 2004.
• 29. Nasiłowski M.: System rynkowy. Podstawy mikro- i makroekonomii, Wydawnictwo Key Text, Warszawa, 2001.
• 30. Peres R., Muller E., Mahajan V.: Innovation diffusion and new product growth models: A critical review and research directions, International Journal of Research in Marketing 27, s. 91-106, 2010.
• 31. Rand W., Rust R.T.: Agent-based modeling in marketing: Guidelines for rigor. International Journal of Research in Marketing, 28 (3), s. 181-193, 2011.
• 32. Repenning N.: A simulation-based approach to understanding the dynamics of innovation implementation, Organization Science, 13, s. 109-127, 2002.
• 33. Sarkar P.: A brief history of cellular automata, ACM Computing Surveys, 32 (1), s. 80-107, 2000.
• 34. Steffes E.M., Burgee L.E.: Social ties and online word of mouth, Internet Res. 19, s. 42-59, 2009.
• 35. Urbany J.E., Dickson P.R., Wilkie W.L., Buyer uncertainty and information research, J. Consum. Res., 16, s. 208-215, 1989.
• 36. Wolfram S.: A New Kind of Science. Wolfram Media, Inc. 2002.
• 37. Wolfram S.: Statistical mechanics of cellular automata, Rev. Mod. Phys. 55, 1983, s. 601-644.
• 38. Wolfram S.: Universality and complexity in cellular automata, Physica D 10, 1984, s. 1-35.
• 39. Vul E., Goodman N.D., Griffiths T.L., Tenenbaum J.B.: One and Done? Optimal decisions from very few samples, in Proc. 31st Annual Conference of the Cognitive Science Society, Amsterdam, 29 July-1 August, 2009.
• 40. Zimbres R.A., De Oliveira P.B.: Dynamics of Quality Perception in a Social Network: A Cellular Automaton Based Model in Aesthetics Services, Electronic Notes in Theoretical Computer Science, 252, s. 157-180, 2009.
• 41. Zott C.: Dynamic capabilities and the emergence of intra-industry differential firm performance: Insights from a simulation study, Strategic Management Journal, 24, s. 97-125, 2003.