Social media commerce: an empirical study of platform, people and information from the trust transfer perspective

Yingxuan Zhang, Monica Law, Xiling Cui, Lingman Huang
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The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses.\n\n\nFindings\nThe findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention.\n\n\nResearch limitations/implications\nThe limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field.\n\n\nPractical implications\nThe findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape.\n\n\nSocial implications\nThe social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. 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The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.\n","PeriodicalId":38615,"journal":{"name":"Journal of Systems and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Systems and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jsit-07-2023-0123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
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Abstract

Purpose This study aims to examine the mechanisms underlying social media commerce by investigating the interplay between platforms, people and information. Drawing upon trust transfer theory, the research model proposes that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing, ultimately influencing purchase intention. Design/methodology/approach The research design used in this study was a quantitative approach using a cross-sectional survey method. The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses. Findings The findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention. Research limitations/implications The limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field. Practical implications The findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape. Social implications The social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. These insights provide valuable guidance for practitioners to navigate the competitive landscape of social media commerce and enhance their chances of success. Originality/value The originality of this research lies in its application of trust transfer theory to investigate the mechanisms driving social media commerce. By examining the interplay between platform, people and information, the study specifically focuses on the role of the platform’s information provision in enhancing information credibility and its impact on information-related responses and purchase intentions. This study extends the understanding of the trust transfer mechanism between customers and sellers/brands in customer-to-customer social commerce by emphasizing the importance of effective messaging and information credibility in shaping consumer behavior. The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.
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社交媒体商务:从信任转移角度对平台、人和信息的实证研究
目的 本研究旨在通过研究平台、人与信息之间的相互作用,探讨社交媒体商务的内在机制。根据信任转移理论,研究模型提出,平台的信息提供会增强信息来源的可信度,从而提高信息的有用性、采用率和分享率,最终影响购买意向。研究基于信任传递理论建立了一个研究模型,并假设了平台的信息提供、信息来源可信度、信息相关反应和购买意向之间的关系。研究结果研究结果支持了大部分假设,并就信息可信度在影响消费者购买意向方面的作用提供了有价值的见解。具体来说,研究表明,平台提供的信息提高了信息来源的可信度,从而增加了信息的有用性、采用率和分享率。此外,信息有用性和采用对信息源可信度与购买意向之间的关系起到了中介作用。研究局限性/启示本研究的局限性包括:使用了便利抽样,可能无法代表更广泛的人群;采用了横截面设计,无法深入了解采用过程。依赖自我报告数据和调查范围有限(仅有六种构念)也是研究的局限性。未来的研究应考虑全国随机抽样、纵向设计、多种数据来源,并探索负面影响和其他潜在的中介变量。尽管存在这些局限性,但本研究有助于人们了解社交媒体商务机制,并为该领域的从业人员提供了宝贵的见解。首先,研究强调了有效的信息传递对提高信息可信度的重要性。平台提供商应注重提供准确、可信的信息,以增强消费者对产品质量的感知,提高购买意向。其次,营销人员可以利用本研究中发现的信息相关因素(如信息有用性和采用率)来优化营销工作。通过了解消费者如何感知社交媒体平台上的信息并与之互动,营销人员可以调整策略,有效地吸引和影响潜在客户。总之,这些实际意义可以帮助营销人员在竞争激烈的社交媒体商务环境中取得成功。 社会意义本研究的社会意义对于社交媒体商务从业人员来说意义重大。研究结果凸显了社交媒体平台上有效的信息传递和信息提供对于提高信息可信度从而增强购买意向的重要性。通过了解在社交媒体商务背景下驱动消费者行为的机制,平台提供商和营销人员可以优化他们的营销工作。这包括集中精力提供可信和有用的信息,促进用户采纳和分享信息,并最终提高成功交易的可能性。这些见解为从业者驾驭社交媒体商务的竞争格局、提高成功机会提供了宝贵的指导。原创性/价值本研究的原创性在于应用信任转移理论来研究社交媒体商务的驱动机制。通过研究平台、人和信息之间的相互作用,本研究特别关注平台提供的信息在提高信息可信度方面的作用及其对信息相关反应和购买意向的影响。本研究通过强调有效的信息传递和信息可信度在塑造消费者行为方面的重要性,扩展了对顾客对顾客社交商务中顾客与卖家/品牌之间信任传递机制的理解。实证研究结果有助于加深对信息信任传递的理解,并为研究驱动社交媒体商务的内在机制提供了一个独特的视角。
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来源期刊
Journal of Systems and Information Technology
Journal of Systems and Information Technology Computer Science-Computer Science (all)
CiteScore
4.40
自引率
0.00%
发文量
18
期刊介绍: The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.
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