Home > Archive > 2019 > Volume 9 Number 6 (Jun. 2019) >
IJIET 2019 Vol.9(6): 390-395 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.6.1233

WeChat Users’ Information Protection Behavior Based on Prospect Theory

Yueshu Zhao and Mingsheng Zhao

Abstract—In network environment, information users’ role and position have changed greatly, and users’ experience and perception during information interaction will influence their assessment of information quality and their satisfaction. This paper tests and corrects the information quality influencing factors model from network user experience and perception view which putted forward based on previous research results with questionnaire survey research methods. The results show that the model is consisted of six dimensions, such as information features, help and support, sensory psychological, service procedure, basic function user personality literacy. The indexes of the model covers the information quality influencing factors which network user experienced and perceived from all-dimensional view during information interaction and acquisition process. It also embodies and reflects the basic characters and practical demands of network users. Research results will provide reference path which could promote information quality through optimizing user information experience and perception.

Index Terms—WeChat, uses’ information protection behavior, structural equation modeling, prospect theory.

The authors are with the Nanjing Forest Police College, Nanjing, 210023, China (e-mail: zysqq83@163.com, njzms@163.com).


Cite: Yueshu Zhao and Mingsheng Zhao, "WeChat Users’ Information Protection Behavior Based on Prospect Theory," International Journal of Information and Education Technology vol. 9, no. 6, pp. 390-395, 2019.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.
  • E-mail: ijiet@ejournal.net

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