An agent-based diffusion model with consumer and brand agents

被引:66
作者
Schramm, Mary E. [1 ]
Trainor, Kevin J. [2 ]
Shanker, Murali [1 ]
Hu, Michael Y.
机构
[1] Kent State Univ, Dept Management & Informat Syst, Kent, OH 44242 USA
[2] Canisius Coll, Sch Business, Buffalo, NY 14208 USA
关键词
Adoption; Diffusion; Innovation; Agent-based modeling; Brand; Product; MARKET; ENTRY; SIMULATION; ADVANTAGE; PRODUCTS; DYNAMICS; IMPACT; SALES;
D O I
10.1016/j.dss.2010.08.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Market members interact within a complex, adaptive system to effect adoption decisions and the resulting diffusion of innovations. Agent-based modeling (ABM) is a methodology well suited for simulating this system. It complements and extends econometric approaches by incorporating interactions among system members, and adaptation in the system, revealing emergent results. Since ABM allows study at the individual unit level, heterogeneity among system members is reflected and modeling at the brand level is possible. Here an ABM with consumer and brand agents is described. The brand and product diffusion curve output allows study of diffusion at micro and macro levels, respectively. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:234 / 242
页数:9
相关论文
共 38 条
[31]   Late mover advantage: How innovative late entrants outsell pioneers [J].
Shankar, V ;
Carpenter, GS ;
Krishnamurthi, L .
JOURNAL OF MARKETING RESEARCH, 1998, 35 (01) :54-70
[32]   Software review: NetLogo, a multi-agent simulation environment [J].
Sklar, Elizabeth .
ARTIFICIAL LIFE, 2007, 13 (03) :303-311
[33]  
TOUBIA O, 2008, MSI REPORTS WORKING, V8, P65
[34]   An application of agent-based simulation to knowledge sharing [J].
Wang, Jing ;
Gwebu, Kholekile ;
Shanker, Murah ;
Troutt, Marvin D. .
DECISION SUPPORT SYSTEMS, 2009, 46 (02) :532-541
[35]  
Wilensky U., 1999, CTR CONNECTED LEARNI
[36]   Overcoming the early entrant advantage: The role of alignable and nonalignable differences [J].
Zhang, S ;
Markman, AB .
JOURNAL OF MARKETING RESEARCH, 1998, 35 (04) :413-426
[37]   Agent-based simulation of consumer purchase decision-making and the decoy effect [J].
Zhang, Tao ;
Zhang, David .
JOURNAL OF BUSINESS RESEARCH, 2007, 60 (08) :912-922
[38]  
2004, CONSUMER REPORTS MAY, P20