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《International Journal of Information Management》2017,37(3):202-213
Due to the proliferation of Web 2.0 technology, e-commerce has evolved into social commerce. In this social commerce era, consumers are increasingly dependent on each other and look for social support (informational and emotional) online even before making purchases. This study examines the content of consumer reviews, a fundamental construct of social commerce. Topics expressed in consumer reviews (collected from Amazon.com) are explored using a machine learning technique (i.e. latent semantic analysis). This study documents the thematic differences between positive and negative reviews and finds that negative reviews report service-related failures while positive reviews relate more to the product, among other things. Next, the informational support aspect of social commerce is explored by identifying the topics expressed in reviews that are helpful in purchase decisions. The findings demonstrate that potential customers (i.e. those who would like to purchase a product in the near future and currently are reading reviews with the intention to decide whether or not to buy that product) find the negative reviews containing service failure information and the positive reviews containing information on core functionalities, technical aspects, and aesthetics to be more helpful. Theoretical and managerial implications are discussed. 相似文献
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社会化媒体技术的快速发展及其与电子商务的融合,产生了社会化商务。但很多社会化商务平台面临用户活跃度低、客户流失严重等问题,这将影响平台的持续运营和发展。基于SOR（刺激-组织-响应）模型,研究了社会化商务用户行为机理。对收集的340份有效问卷采用结构方程模型分析,考察了影响用户使用和分享行为的因素。结果表明,情感支持、信息支持、服务质量显著影响虚拟社区感,进而影响用户的使用和分享行为。因此,社会化商务平台需要关注社区中的在线社会支持和服务质量,从而促进用户使用和分享行为,确保社会化商务的成功实施。 相似文献
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《International Journal of Information Management》2017,37(3):190-201
Social commerce, an emerging phenomenon rooted in social media and Web 2.0 technologies, has attracted the attention of many researchers. The number of publications on social commerce has grown exponentially in the past 10 years. Now, social commerce has become a significant emerging research area. In this paper, we first define the boundary of social commerce research and then attempt to review the extant literature in this area comprehensively and systematically. Based on the definition, this study surveyed 1369 peer-reviewed academic publications in the social media, Web 2.0, and other related areas. Following the survey, 418 of the publications were identified as social commerce research. Then, latent semantic analysis (LSA), a text mining approach, was applied to summarize the current state of social commerce research. LSA results show that there are three major research themes in the current social commerce research: organization, advertisement, and word-of-mouth. Each theme discusses topics such as innovation, user-generated content, and reputation, among others. In addition, we identify some interesting trends. The first main trend is that innovation, corporate reputation, and user-generated content remain the major research topics, although they are experiencing a slight decline. The second main trend is that online reviews, trust, and e-word-of-mouth are attracting more attention from researchers. 相似文献
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With the prevalence of social media and social networking, social commerce is becoming increasingly popular in both business and research areas. As in other types of e-commerce context, trust is also indispensable in social commerce. In this study, two types of trust have been discussed. This study represents an initial attempt to provide an integrated view of particularized trust in social commerce, including particularized trust antecedents, trust transfer and trust performance, so as to promote trust formation in social commerce. Using data collected from 614 social commerce users, we demonstrate that trust disposition, quality-assured shared information, familiarity and endorsement by other members are four antecedents of particularized trust. The results also indicate particularized trust can be transferred into system trust, and particularized trust only exerts positive effect on social WOM intention while system trust only exerts positive effect on social shopping intention. Furthermore, we prove perceived similarity can strengthen the relationship between trust disposition and particularized trust as well as the relationship between quality-assured shared information and particularized trust. 相似文献
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Social commerce (s-commerce) has become increasingly impactful to e-commerce and has generated potential economic benefits. With the rise of online privacy concerns, we have seen the need to explain how concerns about privacy affect consumers’ social interaction behavior and purchase decision-making on s-commerce sites. Synthesizing the privacy-trust-behavioral intention (PTB) and consumer decision-making models, this study proposes a comprehensive model by specifically refining its privacy and trust from an institutional perspective and investigating the influences of social interaction on purchase intention and actual purchase behaviors. Our results found that institutional privacy assurance positively influences institutional-based trust, which, in turn, affects online social interactions, and consequently increases the likelihood of product purchases on s-commerce sites. Theoretical development of this research contributes to both marketing and information systems disciplines in the social media era. 相似文献
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Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance 总被引：1，自引：0，他引：1
The development of social networking sites (SNSs) has given rise to a new e-commerce paradigm called social commerce (s-commerce). S-commerce is a subset of e-commerce and uses SNSs for social interactions and user contributions to facilitate the online buying and selling of various products and services. Recent years have witnessed the rapid growth of s-commerce in Korea, but this growth has involved a number of transaction-related issues such as no delivery and the delivery of wrong items. In particular, consumers’ trust has become a crucial factor in the success of s-commerce firms, requiring these firms to make more effort to gain this trust. In this regard, this study identifies the key factors in s-commerce [reputation, size, information quality, transaction safety, communication, economic feasibility, and word-of-mouth (WOM) referrals], that is, the characteristics of s-commerce influencing Korean consumers’ trust in s-commerce. In addition, the study assesses the effects of trust on trust performance (purchase intentions and WOM intentions). The results of an empirical analysis based on a sample of 371 s-commerce users indicate that all the characteristics of s-commerce (except for economic feasibility) had significant effects on trust and that trust had significant effects on purchase and WOM intentions. The results have important implications for s-commerce firms wishing to develop a successful business model for providing their customers with trustworthy services. 相似文献
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《Information processing & management》2020,57(5):102272
This study aims to reveal the mechanism of how consumers’ engagement is established in social commerce communities. Building upon social support theory, we propose models and employ datasets obtained from Douban.com to empirically investigate the different effects of emotional and informational support on consumers’ engagement and how involvement mediates these relationships in the social commerce context. At the same time, the moderating role of product presentation is examined to help clarify the impact of social support and consumer involvement. Our analyses reveal that the two subdimensions of social supportive information are positively related to consumer involvement, together promoting consumers’ engagement in the community. In particular, involvement imposes a full mediating influence on emotional support but a partial mediating impact on informational support. Product presentation strengthens the effects in that the predictive effect of determinants on engagement is more pronounced for books with electronic versions in the social commerce community. For researchers and managers, these findings emphasize the benefits of the social commerce community, particularly with regard to Douban.com in China. 相似文献
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Interactivity, which is a key characteristic of the live streaming commerce environment, fosters users’ active attitudes and behaviors in communications and transactions. However, the literature on live streaming commerce, is scarce, and few studies examine how interactivity influences customers’ non-transactional behaviors from a dynamic perspective. In this setting, based on the stimulus-organism-response (S-O-R) framework, we developed a research model using real-time data to investigate the dynamic effect of interactivity on customer engagement behavior through tie strength in live streaming commerce, which is a relatively new derivative of social commerce. This study developed a text mining method to quantify constructs using a large-scale sample of 3,500,445 online review texts. Our empirical study found that interactivity has a curvilinear relationship with customer engagement behavior. Besides, tie strength plays an intermediary role between interactivity and customer engagement behavior. It was further observed that both tenure of membership and popularity have an important moderating relationship between interactivity and tie strength. The study enriches the relationship marketing theory and live streaming commerce literature. Moreover, this study is one of the first studies to use real-time online data for live streaming commerce research. 相似文献
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The rise of social media has created a new e-commerce platform called social commerce. In social commerce, e-vendors such as Amazon may integrate social media with their traditional e-commerce sites. Based on self-determination theory and social commerce literature, we develop a model illustrating how social commerce features may impact consumer behaviors and facilitate social commerce benefits from the extrinsic motivation perspective. We identify four types of extrinsic motivation including external motivation, introjected motivation, identified motivation, and integrated motivation; and we examine their influences on consumers’ intention to contribute social commerce information, which in turn leads to their subsequent behaviors and increases the perceived benefit of social commerce. We also consider the moderating effect of gender in the formulation of social commerce benefits. Based on longitudinal survey data from Amazon consumers, we find that 1) consumers’ external and identified motivation has a positive impact on intention to contribute social commerce information; 2) consumers’ intention is positively associated with their future behaviors, which in turn facilitate their perceptions of social commerce benefits; and 3) gender moderates the impact of behavior on social commerce benefits. 相似文献
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《International Journal of Information Management》2016,36(3):333-347
Social commerce, a recent branch of e-commerce, has made the experience of consumers on social commerce platform (SCP) different from other contexts, as the consumers have social interactions with each other. Growing evidence also shows that consumers on these platforms are prone to impulse buying behavior owing to the social interactions. However, existing research on online impulse buying was limited when illustrating the behavior of consumers on SCPs as social relationship constructs were not included. New theoretical developments are needed in regard to fill the research gap. In this research, parasocial interaction (PSI) theory is introduced in this research to examine the influence of social relationship factors on the formation of impulse buying behavior. An empirical research has been conducted on Mogujie (www.mogujie.com), one of the most popular image-sharing SCPs in China. Results indicate that PSI exerts an impact on impulse buying tendency, the social-relevant features of the SCP determine PSI, and perceived usefulness and PSI both significantly affect perceived enjoyment. In addition, consumers’ perceived enjoyment and impulse buying tendencies significantly affect their urge to buy impulsively. The implications, limitations, and discussions are provided. 相似文献
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《Information processing & management》2020,57(5):102253
In the online health community, the doctor-patient interaction is one of the most important functional modules. A large volume of unstructured text data has been generated in the doctor-patient interaction process. This development is worth exploring. In this paper, we mainly explore the influences of online doctor-patient interaction content on patient satisfaction. We collected the online doctor-patient interaction text data from a big online health community (http://haodf.com) in China from January 2015 to December 2016, followed by the use of text mining and econometrics to test our hypotheses. The results indicate that the patient's activeness has a positive effect on a doctor's informational and emotional support. Furthermore, both a doctor's informational and emotional support are known to have a positive effect on patient satisfaction. More significantly, the effect of emotional support on patient satisfaction is more significant than that of informational support. In addition, the patient's disease severity strengthens the link between a doctor's informational and emotional support and that of patient satisfaction. This study has far-reaching significance for a better understanding of the doctor-patient interaction mechanism. 相似文献
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《International Journal of Information Management》2016,36(5):686-699
Social commerce sites (SCSs), a new model of social media, provide fertile ground for customers to communicate their opinions and exchange product- or service- related information. Given the significant opportunities related to the use of social media data for customers’ insight, we explore the factors driving information sharing behavior on SCSs. In this paper, we propose and empirically test a comprehensive theoretical model for customer information sharing behavior through analysis of online survey data as well as network and behavioral usage data of over four months from 1177 customers in a SCS. The research model was empirically validated with the use of both subjective and objective data in a longitudinal setting. Our results show that customer information sharing is influenced by both individual (i.e., reputation and the enjoyment of helping others) and social capital (i.e., out-degrees’ post, in-degrees’ feedback, customer expertise and reciprocity) factors. This study contributes to the existing literature by highlighting the role of directed social network in customer information sharing behavior on SCSs. We believe that the results of our study offer important insights to the IS research and practice. 相似文献
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[目的/意义] 基于社交媒体的社会化商务显著促进了用户的信息交互。与此同时,信息过度收集和使用、信息泄露等问题愈发突出,引发了用户对于个人隐私问题的密切关注。从用户、平台、环境3个层面,研究了信息隐私关注的影响因素及其对用户行为的作用。[方法/过程] 研究收集了340份有效问卷,采用结构方程模型进行数据分析。[结果/结论] 结果发现,隐私倾向、平台声誉、法律法规显著影响用户的信息隐私关注,进而决定用户的信任、隐私风险和社会化商务行为。研究结果启示企业需要采取措施缓解用户隐私关注,进而促进其社会化商务行为。 相似文献
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随着社会化商务的兴起,一种新的商业模式即社会化购物社区诞生了。对于社会化购物社区,消费者的购买转化率至关重要,然而到目前,还尚未有文献探讨社会化购物社区的技术特征对消费者购买意向的作用机制。本研究基于刺激-机体-反应框架,从认知信任和情感信任的集成视角,构建了社会化购物社区技术特征与消费者购买意向的关系模型。以社会化购物社区美丽说中的成员作为调查对象进行实证分析,结构方程模型分析结果表明,社交性技术特征显著正向影响消费者对社区诚实的认知信任和对社区的情感信任;自我参照性技术特征显著正向影响消费者的认知信任和情感信任;消费者对社区的认知信任和情感信任又最终对消费者通过社区购买产品的意向产生正向影响;情感信任对购买意向的作用要强于认知信任。研究结果为社会化购物社区提供商通过设计与监控社区的技术特征来提高社区的购买转化率提供了有价值的理论依据和建议。 相似文献
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Attraction is an essential factor in interactions between individuals. Some existing studies have examined multiple dimensions of attraction including social, physical, and task attraction. However, the mechanism behind these three attraction dimensions and parasocial interaction in social shopping websites has not been well examined. This study adopts technology attraction theory and parasocial interaction theory to analyze how three types of technology attraction affect parasocial interaction, which consequently influences users’ social commerce intention. This study conducted a survey to analyze the proposed empirical model and analyzed data from 248 social shopping website users. The results indicate that social attraction and task attraction positively and directly affect the users’ parasocial interaction. In contrast, physical attraction indirectly influences users’ parasocial interaction via social attraction and task attraction, respectively. Parasocial interaction consequently influences users’ social commerce intention. Discussion, limitations, and implications of the study are presented. 相似文献
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《International Journal of Information Management》2017,37(2):25-35
Based on five types of trust, this research explores trust influencing factors in peer-to-peer interpersonal communication, group communication and mass communication. Previous research has mainly focused on trust and the corresponding antecedents in electronic commerce communication and online collaboration. This study extends the literature on trust influencing factors in social media communication. A trust traffic light model is used to illustrate the importance of keywords, drawn from interviews with 115 participants who use WeChat frequently. Salient trust factors were found and further elaborated through qualitative analysis. Furthermore, we developed a trust cognitive onion model to illustrate the interactions of trust factors. 相似文献
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The advent of social commerce has resulted in a new business model for e-commerce. Although studies on this business model have increased over time, they have paid less attention to its core business model: consumer-generated social influence on sales on a social commerce site. Therefore, in this paper, we examine the effect on sales of social sharing, such as Facebook “likes” and Twitter tweets, which generate social influence, using data from major social commerce companies. We find that consumer-generated social referrals regarding deals significantly boost sales in social commerce. When we examine deals involved in national sales, this finding holds only for Facebook but not for tweets. These findings have the implication for managers that not all social referrals are meaningful in increasing sales for their business. 相似文献
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Internet development has fueled e-commerce firms’ globalization efforts, but many have met with only limited success. This often stems from the foreign firms’ limited understanding of a focal country's local culture and idiosyncrasies. Foreign firms are usually viewed as out-group entities, which lowers consumers’ trust in them. The extent of such a phenomenon varies. In locations where people are more skeptical of out-groups, a critical question is whether it is possible to transform such foreign out-group firms into in-groups, specifically with the support of popular social networking media. Based on Social Identity Theory and Trust Transference Process, five strategies leveraging social grouping and social ties to build trust for foreign electronic commerce firms were proposed. A survey was conducted to examine their effectiveness. The results suggest that social-grouping strategies are useful for in-grouping foreign out-group entities to build trust, and the effectiveness of strategies is determined by the social similarity and psychological distance between the consumer and the endorser. This has important implications for scholars and practitioners, both local and abroad, to leverage social grouping to boost Internet sales. 相似文献
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《International Journal of Information Management》2017,37(6):601-610
Online games have created significant opportunities for electronic commerce managers. The degree to which online gamers regard their avatars—their gaming representations— as themselves is known to be influential to gamers’ behavior but little is known about how such identification impacts online gamer loyalty (i.e., gamers’ continued intention to play). This study filled this gap by developing its research framework from the perspective of the social identity theory and the social capital theory. Responses from 1384 online gamers were collected, and structural equation modeling was used to test the hypotheses. The analytical results indicate that avatar identification (the degree to which users regard avatars as themselves) is positively related to participation in gaming communities and social presence (the degree of awareness of other persons and interpersonal relationships). These were further positively related to online gamer loyalty. This study is the first using the two theories, i.e., the social identity and social capital theoretical perspectives, to clarify the mechanism underlying the impact of avatar identification on online gamer loyalty, assisting electronic commerce managers to create a loyal user base. 相似文献