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- W3217626202 abstract "The application of big data not only brings us great convenience, but also brings social problems such as big data familiar, information leakage and so on, which seriously affects customers' willingness to participate and their satisfaction with the enterprise. How to collect customer information in order to improve customers' willingness to participate is an urgent topic to be discussed. This paper proposes an analytical framework, which considers that the decision-making of big data objects participating in the big data collection process is a process of comprehensive value balance, including four types of CO creation, inducement, dedication and fishing, involving two dimensions of activity value and data value, and the necessity of procedure, activity value, information sensitivity, process complexity, data security and procedure From the six aspects of value judgment, this paper may provide useful enlightenment and reference for big data subjects to choose the target data collection method of big data application and improve the participation willingness of big data objects." @default.
- W3217626202 created "2021-12-06" @default.
- W3217626202 creator A5077004272 @default.
- W3217626202 date "2021-04-01" @default.
- W3217626202 modified "2023-10-18" @default.
- W3217626202 title "Big Data Collection and Object Participation Willingness: An Analytical Framework from the Perspective of Value Balance" @default.
- W3217626202 cites W2110140457 @default.
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- W3217626202 doi "https://doi.org/10.1088/1742-6596/1881/3/032016" @default.
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