A standard form of citation of this article is:
Kim, Whan-Seon (2009). 'Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study'. Journal of Artificial Societies and Social Simulation 12(3)4 <https://www.jasss.org/12/3/4.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{kim2009,
title = {Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study},
author = {Kim, Whan-Seon},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {12},
number = {3},
pages = {4},
year = {2009},
URL = {https://www.jasss.org/12/3/4.html},
keywords = {Complex Adaptive System, Agent-Based Social Simulation, Supply Network, Trust},
abstract = {This paper models a supply network as a complex adaptive system (CAS), in which firms or agents interact with one another and adapt themselves. And it applies agent-based social simulation (ABSS), a research method of simulating social systems under the CAS paradigm, to observe emergent outcomes. The main purposes of this paper are to consider a social factor, trust, in modeling the agents' behavioral decision-makings and, through the simulation studies, to examine the intermediate self-organizing processes and the resulting macro-level system behaviors. The simulations results reveal symmetrical trust levels between two trading agents, based on which the degree of trust relationship in each pair of trading agents as well as the resulting collaboration patterns in the entire supply network emerge. Also, it is shown that agents' decision-making behavior based on the trust relationship can contribute to the reduction in the variability of inventory levels. This result can be explained by the fact that mutual trust relationship based on the past experiences of trading diminishes an agent's uncertainties about the trustworthiness of its trading partners and thereby tends to stabilize its inventory levels.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Effects of a Trust Mechanism on Complex Adaptive Supply Networks: An Agent-Based Social Simulation Study
AU - Kim, Whan-Seon
Y1 - 2009/06/30
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 12
IS - 3
SP - 4
UR - https://www.jasss.org/12/3/4.html
KW - Complex Adaptive System
KW - Agent-Based Social Simulation
KW - Supply Network
KW - Trust
N2 - This paper models a supply network as a complex adaptive system (CAS), in which firms or agents interact with one another and adapt themselves. And it applies agent-based social simulation (ABSS), a research method of simulating social systems under the CAS paradigm, to observe emergent outcomes. The main purposes of this paper are to consider a social factor, trust, in modeling the agents' behavioral decision-makings and, through the simulation studies, to examine the intermediate self-organizing processes and the resulting macro-level system behaviors. The simulations results reveal symmetrical trust levels between two trading agents, based on which the degree of trust relationship in each pair of trading agents as well as the resulting collaboration patterns in the entire supply network emerge. Also, it is shown that agents' decision-making behavior based on the trust relationship can contribute to the reduction in the variability of inventory levels. This result can be explained by the fact that mutual trust relationship based on the past experiences of trading diminishes an agent's uncertainties about the trustworthiness of its trading partners and thereby tends to stabilize its inventory levels.
ER -