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Construction of a technology adoption decision-making model and its extension to understanding herd behavior
Gu, Jing ; Li, Lu ; Xu, Zeshui ; Fujita, Hamido
2015
关键词Herd behavior Information cascade Observational learning Sequential decision making Technology adoption Waiting strategy INFORMATIONAL CASCADES INTERNET FADS
英文摘要Decision makers often face challenges during the adoption of technology. Indeed, technology adoption usually occurs sequentially, so observational learning can help the decision makers to reach reasonable decisions. In reality, the decision makers may prefer to adopt a waiting strategy when the situation is equivocal. In this study, we construct a technology adoption model called the G-WB model, where we consider a generalized waiting situation based on the Walden-Browne (WB) model. In our model, herd behavior is a difficult issue, but an information cascade occurs after herding appears. We explore the effect of different parameters on the convergence speed and extend our G-WB model. We also demonstrate that observational learning is a useful strategy during sequential decision making and our model is an optimal version of the WB model, which facilitates a better understanding of herding. (C) 2015 Elsevier B.V. All rights reserved.; National Natural Science Foundation of China [71401116, 61273209]; Sichuan university [skgt201501]; SCI(E); EI; SSCI; ARTICLE; gj0901@scu.edu.cn; xuzeshui@263.net; HFujita-799@acm.org; 471-486; 89
语种英语
出处EI ; SCI
出版者KNOWLEDGE-BASED SYSTEMS
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/424830]  
专题数学科学学院
推荐引用方式
GB/T 7714
Gu, Jing,Li, Lu,Xu, Zeshui,et al. Construction of a technology adoption decision-making model and its extension to understanding herd behavior. 2015-01-01.
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