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Research on online consumer behavior and psychology under the background of big data
Author(s) -
Chen Wenting,
Zhang Qian,
Jin Maozhu,
Yang Jie
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4852
Subject(s) - consumption (sociology) , personalization , consumer behaviour , big data , variety (cybernetics) , marketing , perception , cloud computing , scale (ratio) , business , object (grammar) , advertising , data science , computer science , psychology , sociology , social science , physics , quantum mechanics , artificial intelligence , neuroscience , operating system
Summary The emergence of emerging services and technologies such as cloud computing and social networks has driven the variety and scale of data in human society. It can increase and expand at an unprecedented rate. Data has changed from a simple object of processing to a basic resource. How can it be better? Managing and utilizing big data has become a topic of common concern. At the same time, as people's living standards improve, the scale of consumption continues to expand, and consumer demand for personalization becomes more apparent. The online consumer is a new consumer group and has distinct characteristics from the traditional market consumer groups. This article begins with the consumer's point of view. Through the analysis of psychological characteristics, behavioral characteristics, shopping needs, shopping motivation, price perception and risk perception, it will deepen consumer awareness. As a result, they can help network marketing become more economic and effective, and promote virtuous cycle of consumption and sales.