원문정보
초록
영어
In a world facing economic challenges and resource scarcity, the sharing economy has reemerged as a promising solution. This research examined the evolving landscape of the sharing economy in China, with a focus on secondhand trading platforms. These platforms play a central role in promoting resource recycling by allowing users to exchange unwanted goods efficiently. The appeal of secondhand trading lies in its affordability and the ability to negotiate prices directly with trading partners. The study shows that in China, the secondhand market is expanding rapidly with the growth of e-commerce. According to recent data, the number of secondhand e-commerce users is expected to reach 263 million by the end of 2022, with significant year-on-year growth. The volume of transactions is also expected to grow significantly, demonstrating the thriving secondhand market. TAM, a well-established theoretical framework, assesses user acceptance of information systems, with perceived usefulness and ease of use as key components. Perceived usefulness refers to a user's belief that a technology will improve their performance, while perceived ease of use measures the expectation that a technology will be easy to use. These factors have a significant impact on the adoption of information technology and in turn influence users' attitudes, intentions, and behavior. This study adapted usefulness and ease of use to measure the perceived benefits and usability of secondhand platforms. In conclusion, this study sheds light on the factors that underpin Chinese consumers' satisfaction with secondhand trading platforms. The findings of this research can guide platform providers in improving the user experience, addressing perceived risks, and promoting green consumption. Future research can further explore cross-country comparisons and the consequences of user dissatisfaction on platform behavior.
목차
Ⅰ. Introduction
Ⅱ. Theoretical Background
1. Technology Acceptance Model
2. Perceived Risk
3. User Characteristics
4. Satisfaction Rate
Ⅲ. Research Methods
1. Research Question
2. Data Collection and Analysis Method
3. Measurement Tool
4. Demographic Variables of the Study Population
Ⅳ. Analysis and Interpretation
1. Factor analysis and level of satisfaction
2. Analyze the Impact of the TAM Variables, Perceived Risk, and User Characteristics on Satisfaction
Ⅴ. Conclusion
1. Results
2. Research Implications
References