Abstract
This agent-based information management model is designed to explore how multi-dimensional information, spreading through a population of agents (for example farmers) affects market supply. Farmers make quality decisions that must be aligned with available markets. Markets distinguish themselves by means of requirements which are expressed over multiple quality dimensions. In order to supply at a market, a supplier’s information should match the market’s requirements. Information diffusion is affected by network structure among agents, and by information turnover. Research questions concern the effect of information turnover and network structure on market supply. Results show that there is a huge effect of information turnover. The percentage of suppliers having to resort to the dump market decreases when information supply rate ISR and average number of friends NFR increase. The higher the values of ISRR and NFR, the higher the percentage of suppliers able to reach high markets. There is an influence of network structure: the more connections, the better the results with respect to market supply, but the nature of these connection seems to be of lesser importance. Contrary to our expectations, there is hardly an effect of network topology. With sufficient information in the system, differences in diffusion process appear to be not significant.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arens L, Plumeyer C-H, Theuvsen L (2012). Determinants of the Use of Information: An Empirical Study of German Pig Farmers. International Food and Agribusiness Management Review 15(1): 51-72
Bonneau M, Lebret B (2010). Production systems and influence on eating quality of pork. Meat Science 84(2): 293-300
Gilbert N, Pyka A, Ahrweiler P (2001). Innovation networks: A simulation approach. Journal of Artificial Societies and Social Simulation 4(3): 8
Gilbert N (2008). Agent-Based Models. Quantitative Applications in the Social Sciences 153. Sage Publications, Los Angeles
Osinga SA, Kramer MR, Hofstede GJ, Beulens AJM (2011). An Agent-Based Information Management Approach to Smoothen the Pork Cycle in China. In: Osinga SA, Hofstede GJ, Verwaart T (eds) Emergent Results of Artificial Economics. Heidelberg, Springer-Verlag. 652: 27-38
Osinga SA, Roozmand O, Kramer MR, Hofstede GJ (2010). An agent-based model of information management in the Chinese pig sector: top-down versus bottom-up. In: Wubben EFM et al. (eds) 9th Wageningen International Conference on Chain and Network Management. Wageningen Academic Publishers, Wageningen, The Netherlands
Simon H (1957). A Behavioral Model of Rational Choice. Models of Man, Social and Rational: Mathematical Essays on Rational Human Behavior in a Social Setting. New York, Wiley
Theuvsen L (2003). Motivational Limits to Tracking and Tracing: Principal-Agent Problems in Meat Production and Processing. textitQuality Assurance, Risk Management and Environmental Control in Agriculture and Supply Networks. Schiefer G, Rickert U. Bonn, ILB-Press: 223-230
Valbuena D (2010). Farmer's decisions and landscape change: an actor-based approach for landuse research. Doctoral dissertation, Wageningen University.
Valeeva NI, Verwaart D (2011). Udder health management improvement: Insights from agent- based modeling. Udder health and communication: proceedings of the international conference Utrecht, the Netherlands. Wageningen Academic Publishers.
Verbeke W (2001). The emerging role of traceability and information in demand-oriented livestock production. Outlook on agriculture 30(4): 249-255
Verdouw CN, Beulens AJM, Trienekens JH, Van der Vorst JGAJ. (2011). A framework for modelling business processes in demand-driven supply chains. Production Planning & Control 22(4): 365-388
Verwaart T, Valeeva N (2011). An agent-based model of food safety practices adoption. In: Osinga SA, Hofstede GJ, Verwaart T (eds) Emergent Results of Artificial Economics. Heidelberg, Springer-Verlag. 652: 103-114
Wever M, Wognum N, Trienekens J, Omta O. (2010). Alignment between chain quality management and chain governance in EU pork supply chains: A Transaction-Cost-Economics perspective. Meat Science 84(2): 228-237
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Osinga, S.A., Kramer, M.R., Hofstede, G.J., Beulens, A.J.M. (2012). Multi-dimensional information diffusion and balancing market supply: an agent-based approach. In: Teglio, A., Alfarano, S., Camacho-Cuena, E., Ginés-Vilar, M. (eds) Managing Market Complexity. Lecture Notes in Economics and Mathematical Systems, vol 662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31301-1_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-31301-1_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31300-4
Online ISBN: 978-3-642-31301-1
eBook Packages: Business and EconomicsEconomics and Finance (R0)