Title :
A research of on-line stickiness behavior on the four types of applications classification
Author :
Xue Jun ; Zhao Meng-guang ; Chen Jun-liang
Author_Institution :
Dept. of Econ. & Manage., Xi´an Univ. of Posts & Telecommun., Xi´an, China
Abstract :
On-line stickiness is focused on increasingly day by day. This paper studies the problem of on-line stickiness in the premise of the classification of the internet applications by the reports of CNNIC (China Internet Network Information Center). Based on the on-line stickiness theory, we put forward that the characteristics of the on-line stickiness behaviors are different in the four kinds of applications. In order to a further studying of the differences, this paper uses the logistic regression method to establish the models and then work out the regression equations. Finally, according to the coefficients, we compare the significant features of the on-line stickiness behaviors and analyze the reseasons of their differences. This kind of research will be a foundation for the interference system studying.
Keywords :
Internet; human computer interaction; pattern classification; psychology; regression analysis; CNNIC; China Internet Network Information Center; Interet applications; interference system; logistic regression method; online stickiness behavior; regression equations; Entertainment industry; Games; Internet; Logistics; Mathematical model; Psychology; four types; logistic regression method; on-line stickiness; stickiness characteristics;
Conference_Titel :
Management Science and Engineering (ICMSE), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-0473-0
DOI :
10.1109/ICMSE.2013.6586285