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Browsing by Subject "Electronic commerce -- China"

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    Investigation of enables affecting intention to buy cosmetics via live stream for e-commerce in Kunming
    (University of the Thai Chamber of Commerce, 2023)
    Li, Wenzhuo
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    University of the Thai Chamber of Commerce. International Business.
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    University of the Thai Chamber of Commerce. International School of Management.
    This research paper delves into the factors affecting consumers' intention to buy cosmetics via live-stream e-commerce platforms, leveraging the Theory of Planned Behavior model. An empirical study was conducted to test nine proposed hypotheses, exploring aspects such as perceived effectiveness of live-stream shopping, product authenticity, peer and influencer influence, and comfort with digital transactions, among others. Findings suggest that all these factors have a significant positive influence on behavioral intention. Particularly, the comfort in digital transactions and the ability to interact in a live-stream setting stood out as the most influential factors. The data also underscored the importance of prior experience and perceived quality of the products. However, this study was limited geographically and faced some issues of noncooperation from users, pointing to directions for future research. Implications for businesses in this sphere are numerous. To optimize user experience and drive sales, it is recommended that businesses emphasize ease of transaction, interactive elements of the live-streaming process, and assurance of product quality and authenticity. Strategies should also be oriented towards leveraging peer and influencer influence and aligning with beauty standards portrayed in social media. This research contributes to the literature on live-stream e-commerce and offers valuable insights for businesses looking to tap into this burgeoning digital commerce channel.
      154  1277
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    Study on influencing factors of users' intention to use Pinduoduo app in Yunnan province, China
    (University of the Thai Chamber of Commerce (UTCC), 2024)
    Ting, Li
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    Li, Li
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    International Business
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    University of the Thai Chamber of Commerce. International Business
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    University of the Thai Chamber of Commerce. International School of Management
    In recent years, with the mature application of mobile Internet technology and the popularity of intelligent mobile devices, online shopping has become a trend, and PJD has emerged in this context. As one of the mainstream social e-commerce platforms in China, Pinduoduo is committed to providing users with valuable goods and interesting interactive shopping experiences, making "more affordable, more fun" the mainstream of consumers. Exploring consumers' willingness to use PJD Apps and influencing factors is of great guiding significance for the future construction of "Internet +" business model. By using the UTAUT theoretical model, this study constructs the research hypothesis with performance expectation, effort expectation, social influence, contributing conditions, perceived risk and perceived entertainment as the core variables. Samples were collected through questionnaires, and SPSS software was used to conduct an empirical study on the survey results. The results show that: (1) Performance expectation, effort expectation, social influence, facilitating conditions and perceived entertainment have positive effects on users' use of Pinduoduo app; (2) Perceived risk has a significant negative impact on users' willingness to use Pinduoduo app, especially in terms of satisfaction and continuous use. The research results validate the theory of UTAUT, and further expand the application prospect and theoretical value of UTAUT theoretical model in the field of social e-commerce platform. According to the research conclusions, focusing on the characteristics and application of Pinduoduo e-commerce mode, focusing on the core factors affecting users' willingness to use, the paper puts forward three suggestions to improve the software functions, improve the service characteristics of Pinduoduo software, optimize the business model, establish the brand image of Pinduoduo software, and increase the user experience of Pinduoduo software.
      51  808
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