Table 1.

Notations for the model.

Notations	Descriptions
B1	The fixed profits obtained by consumers when they choose not to share personal information when online shopping
B2	The fixed profits obtained by consumers when they choose to share personal information when online shopping
N1	Maximum extra benefits generated for consumers by the data mining behavior of e-commerce platforms
α	The positive utility coefficient of data mining for consumers
N2	Maximum extra losses generated for consumers by the data mining behavior of e-commerce platforms.
β	The negative utility coefficient of data mining for consumers
Y	Rewards obtained by consumers from e-commerce platforms for sharing personal information
F	The fixed benefits obtained by e-commerce platforms when providing services to consumers.
M1	The maximum extra benefits that e-commerce platforms can obtain through data mining when consumers choose to share personal information.
M2	The maximum extra benefits obtained by e-commerce platforms through illegal data mining when consumers choose not to share personal information.
μ	The ability of e-commerce platforms to use AI technologies, which directly influences the effects of data mining.
δ	The possibility that illegal data mining behavior by e-commerce platforms is detected when consumers choose not to share personal information.
f	The penalty for illegal data mining by e-commerce platforms.
t	The trust coefficient of consumers for e-commerce platforms under the supervision of third-party regulators
C1	The reward cost of e-commerce platforms when consumers choose to share personal information
C2	The technical cost of data mining for e-commerce platforms
p	Probability of consumers choosing to share personal information
q	Probability of e-commerce platforms choosing data mining