An Empirical Analysis of Trust, Perceived Benefit, and Purchase Intention in C2C Electronic Commerce in China

Author:

Zhao Zijian1ORCID,Yang Yantao2,Liang Jin3,Garcia-Campayo Javier4,Wang Zhongwei5,Perez Hector Monzales6,Li Huaqiang7,Borao Luis8

Affiliation:

1. The Catholic University of Korea, Republic of Korea; Lyceum of the Philippines University- Batangas, Philippines; Graduate School of Chinese Academy of Social Sciences, China; Akademia Jagiellońska, Poland; University of San Miguel, Mexico

2. Lyceum of the Philippines University- Batangas, Philippines & China University of Political Science and Law, China & Luoyang Normal University, China

3. University of Zaragoza, Spain & Jilin University, China & Hunan University, China & Chinese Psychological Society, China & Chinese Association of Social Psychology, China

4. University of Zaragoza, Spain & Hospital Universitario Miguel Servet, Spain

5. The University of Sheffield, UK & Coventry University, UK

6. Republic of the Philippines Professional Regulation Commission, Philippines

7. Fudan University, China

8. University of Zaragoza, Spain

Abstract

With the popularity and development of the internet, China's consumer-to-consumer (C2C) electronic commerce (EC) system is favored by consumers. Therefore, understanding the relationship among consumers' trust, perceived benefits (PBs), and purchase intentions (PIs) is of great significance for studying this system. This article proposes the hypothesis of the interaction among the three and designs a questionnaire to explain the application of trust, PB, and PI in China's C2C EC system. The relationship between the sample structure and the variables is analyzed using reliability, validity, correlation, and regression analysis (RA). The experimental analysis results show that the questionnaire's reliability and validity values are higher than 0.8 and 0.75, respectively, indicating that the questionnaire design is qualified, and the data are valid. The rationality of the hypothesis proposed here is verified through correlation analysis and RA. This indicates a significant mutual influence relationship among trust, PB, and PI.

Publisher

IGI Global

Subject

Strategy and Management,Computer Science Applications,Human-Computer Interaction

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