TY - GEN
T1 - Market dynamics and environmental impacts of e-commerce
T2 - 2008 16th IEEE International Symposium on Electronics and the Environment, ISEE
AU - Xu, Ming
AU - Kim, Junbeum
AU - Kahhat, Ramzy
AU - Allenby, Braden
PY - 2008
Y1 - 2008
N2 - E-commerce has been developed by the high integration of transportation infrastructures and information and communication technology (ICT) in complex urban systems. The dynamics of the e-commerce market can cause different environmental impacts. This paper explores the dynamics of e-commerce market and the associated environmental impacts from a psychological perspective using an agent-based model simulation. A conceptual meta-theory from psychology is adopted to form the behavioural rules of the artificial consumers choosing different methods of buying a book, including conventional bookstores, e-commerce, and a proposed self pick-up logistic system. The introduction of the self pick-up system can be successful according to the simulation results. The advantage of lower price will attract a group of consumers. The simulation results also show that different structures of the social network have significant impacts on the dynamics of this market. The environmental impacts in terms of energy consumption and emission generation will be reduced by the introduction of the proposed self pick-up system.
AB - E-commerce has been developed by the high integration of transportation infrastructures and information and communication technology (ICT) in complex urban systems. The dynamics of the e-commerce market can cause different environmental impacts. This paper explores the dynamics of e-commerce market and the associated environmental impacts from a psychological perspective using an agent-based model simulation. A conceptual meta-theory from psychology is adopted to form the behavioural rules of the artificial consumers choosing different methods of buying a book, including conventional bookstores, e-commerce, and a proposed self pick-up logistic system. The introduction of the self pick-up system can be successful according to the simulation results. The advantage of lower price will attract a group of consumers. The simulation results also show that different structures of the social network have significant impacts on the dynamics of this market. The environmental impacts in terms of energy consumption and emission generation will be reduced by the introduction of the proposed self pick-up system.
KW - Agent-based modeling
KW - Complex adaptive systems
KW - E-commerce
KW - Environmental impacts
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=51849148510&partnerID=8YFLogxK
U2 - 10.1109/ISEE.2008.4562873
DO - 10.1109/ISEE.2008.4562873
M3 - Conference contribution
AN - SCOPUS:51849148510
SN - 1424422728
SN - 9781424422722
T3 - IEEE International Symposium on Electronics and the Environment
BT - 2008 16th IEEE International Symposium on Electronics and the Environment, ISEE
Y2 - 19 May 2008 through 22 May 2008
ER -