This paper examines the influence of familial reference groups on individuals＇ product and brand decisions for products across two kinds of culture. The study is addressed through an examination of intergenerational ...This paper examines the influence of familial reference groups on individuals＇ product and brand decisions for products across two kinds of culture. The study is addressed through an examination of intergenerational influences across the two different cultures. The results of the study lend support to the original approach and also provide an insight look into how reference group influence may vary depending on different culture context. The paper also provides very useful advice for marketers when they apply western marketing concepts in China market.展开更多
We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, w...We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, we take a different formulation to this problem by noting that these existing approaches fail to consider the potential relationships both among the consumers （consumer influence） and among the shops （competitions or collaborations）. Taking this observation into consideration, we propose a new method for e-commerce business model mining and prediction, called EBMM, which combines regression with community analysis. The challenge is that the links in the network are typically not directly observed, which is addressed by applying information diffusion theory through the consumer-shop network. Extensive evaluations using Alibaba Group e-commerce data demonstrate the promise and superiority of EBMM to the state-of-the-art methods in terms of business model mining and prediction.展开更多
文摘This paper examines the influence of familial reference groups on individuals＇ product and brand decisions for products across two kinds of culture. The study is addressed through an examination of intergenerational influences across the two different cultures. The results of the study lend support to the original approach and also provide an insight look into how reference group influence may vary depending on different culture context. The paper also provides very useful advice for marketers when they apply western marketing concepts in China market.
基金supported by the National Basic Research Program(973)of China(No.2012CB316400)Zhejiang University-Alibaba Financial Joint Lab,Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis,Chinathe US National Science Foundation(No.CCF-1017828)
文摘We study the problem of business model mining and prediction in the e-commerce context. Unlike most existing approaches where this is typically formulated as a regression problem or a time-series prediction problem, we take a different formulation to this problem by noting that these existing approaches fail to consider the potential relationships both among the consumers （consumer influence） and among the shops （competitions or collaborations）. Taking this observation into consideration, we propose a new method for e-commerce business model mining and prediction, called EBMM, which combines regression with community analysis. The challenge is that the links in the network are typically not directly observed, which is addressed by applying information diffusion theory through the consumer-shop network. Extensive evaluations using Alibaba Group e-commerce data demonstrate the promise and superiority of EBMM to the state-of-the-art methods in terms of business model mining and prediction.
