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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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《Information processing & management》2020,57(3):102213
The ability of detecting infections at an early stage in clinical environments is an important clinical problem. When an infection is not diagnosed on time, it may not only affect the health of the infected patient, but also spread and infect other people.In this paper, we propose the development of a clinical decision support system (CDSS) for diagnosing infections using clinical signals from patients. This system is designed to be able to cope with small amounts of data (a single record per day and patient), making it convenient for environments under strict constraints (such as low resources or bad connectivity). Additionally, we have incorporated data from external sources, in order to enrich the quality of the models. In particular, we have considered social data arising from web searches, retrieved from Google Trends, as well as weather data.Clinical data was recorded between April 2018 and July 2019 in two nursing homes in Spain and one in Dominican Republic, where nurses had also tested patients for infections. Feature extraction was carried out by aggregating measurements from days before to the infection (lead) and after the infection was detected (lag), and these features were used to train supervised learning models. The best model attained using only clinical data attains an AUROC of 0.734. When data is enriched with external sources, this performance increases up to an AUROC of 0.798. In the case of prognosis (i.e., only measurements before the manual annotation of the infection are used) an AUROC of 0.719 is obtained using only clinical data, and up to 0.757 when combining additional sources of data.In conclusion, the CDSS provides a good recognition performance given the small amounts of data available. This performance can be increased by including social data, which are readily available, and can therefore be useful in scenarios where clinical data acquisition is expensive or unfeasible. 相似文献
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Mackenzie S 《Public understanding of science (Bristol, England)》2011,20(4):491-505
HIV/AIDS conspiracy theories constitute a loosely grouped set of meanings that share the notion of secret collusion among allied parties. This paper traces one woman's etiological narrative of HIV/AIDS. Such embodied experience and cultural understanding when placed against the backdrop of current thinking on the topic in the United States builds a new framework for understanding the emergence and circulation of HIV/AIDS conspiracy theories as "counter-narratives" employed by individuals and publics in the face of the AIDS pandemic. Such counter-narrative creates a rhetorical space for challenges to power through the articulation of oppositional ideas about dominant scientific knowledge. Without a critical exploration of HIV/AIDS conspiracy theories that examines their emergence and effects as a form of discourse circulating in the public domain, public health advocates will not be able to trace and respond to these narratives' impact on HIV prevention efforts or consider their relevance for other emerging infectious diseases. 相似文献
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Rana Duncan-Daston Maude Hunter-Sloan Elise Fullmer 《Ethics and Information Technology》2013,15(1):35-43
The ethical implications of the explosion of social media outlets for social work education are explored in this paper. Given that social work education has a dual focus, both of educating students and of socializing practitioners into the profession, the issue of the blurring between what is social and what is professional gains particular salience for both educators and students. Recommendations for educators to ethically address the need to maintain a consistent professional presence online and to avoid potentially harmful dual relationships with students are presented. These recommendations include: abstain from using social media or use only a static professional profile; use only university protected sites to promote collaboration with students in the classroom including all students to avoid any appearance of impropriety; use social media with the utmost discretion mindful of all the risks by creating a very select circle of friends, separating one’s personal site from one’s professional site; develop policies which include not friending any individual student or any current student and inform students about the policies. 相似文献
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Raffaele Rodogno 《Ethics and Information Technology》2016,18(4):241-242
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Mobile social platform such as WeChat Moments has gained great popularity in China in the past few years. However, there are still a lack of studies that focus on Guanxi network building in the virtual social community. Drawing upon social capital theory and technology affordance theory, this study develops a research model to examine the influences of platform media richness and interactivity on users’ social capital and participation behaviors in the WeChat Moments. An empirical survey was conducted in China and 287 valid data were collected from WeChat users. Structural equation modelling analysis was used to test the research model. The empirical results suggest that platform interactivity and media richness are significant technology affordances that promote users’ Guanxi network, and their influences are mediated by social interaction and shared understanding. Furthermore, Guanxi network is positively associated with users’ active participation in the WeChat Moments. Theoretical and practical implications are illustrated in the final section. 相似文献
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《International Journal of Information Management》2016,36(1):1-8
Social media is growing rapidly. Providing both risks and opportunities for organizations as it does. The social strategy cone is developed for evaluating social media strategies. This framework comprises of seven key elements of social media strategies as based on a systematic literature review and case studies. The results of 21 interviews have contributed to the construction of the social media strategy cone for analyzing social media strategies. Three levels of maturity of social media strategy are proposed: initiation, diffusion and maturity. Initiation includes the key elements: ‘target audience’ and ‘channel choice’ while all case organizations studied payed attention to these elements. Diffusion includes the elements: ‘goals’, ‘resources’ and ‘policies’. Maturity adds the elements of ‘monitoring’ and ‘content activities’. Only 3 of the 9 organizations studied are in this phase of maturity. Although, theory suggests the importance of the element of ‘monitoring’ our research shows the need for more attention in practice. 相似文献
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This study furthers investigation into exactly how Social CRM (S-CRM) is different from traditional CRM, and models the interrelationships between its capabilities. It is underpinned in dynamic capabilities theory, to explain how social media, as a resource all organizations use, can lead to differing performance outcomes. It is underpinned in seminal research into traditional CRM, but which does not cater for the disruptive nature of social media. We outline how S-CRM is a second-order dynamic capability consistng of a set of first-order integrative dynamic capabiliies that, when properly interrelated, lead to performance outcomes. We particularly model the role of S-CRM front- and back-office technology capabilities, customer engagement initiatives, and social information processes in driving customer relationship performance. Findings show that S-CRM is different from traditional CRM in a range of ways in the front- and back-offices, and provide a framework for researcher and managers in information systems and marketing to operate at strategic and tactical levels within S-CRM, while being congisant of both. 相似文献
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信息安全社区对缓解因勒索病毒等信息安全事件给人们带来的负面影响有促进作用,探究信息安全社区社会资本对社会支持的形成机制,对高效提升用户信息安全意识起重要作用.基于社会资本的关系维、认知维和结构维,建立信息安全社区社会支持机制模型.通过信息安全社区成员社会等级的调节作用,采用分层建模考察信息安全社区社会资本对社会支持的形成机制.以卡饭为研究平台,用论坛勒索病毒安全事件作为数据来源,研究结果表明:信息安全社区的关系维、认知维和结构维社会资本对信息支持有促进作用;信息安全社会等级显著调节社会资本的关系维、认知维和结构维三个维度对情感支持的影响,且正向调节关系维和结构维社会资本对信息支持的影响.在社会资本的关系维、认知维和结构维视角下,厘清了信息安全社区社会支持的形成机制. 相似文献
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从现代科学解释学和技术社会学的观点看,互联网与其说是一种具有高技术与“异托邦”特质的“另类空间”或媒介“物体系”,不如说是一种具有多方面工具理性气质的“社会工程体系”。互联网就是一种充满主体性、系统性、复杂性和互动性逻辑精神的社会工程。它是实际存在的,但因为处于虚拟环境中,所以对它的理解还须借助社会学的想象力。 相似文献
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在我国,社科成果评价与社科成果转化评价都起步较晚,这极大影响了社会科学的发展和社会文明的进步.其实两者既有共同点,又存在差异,将两者进行比较,有利于评价指标体系的建立与完善,有利于两种评价相互借鉴取长补短.这一研究对于科学引导社科发展方向,正确评判社科研究地位,合理分配社科经费资.源,逐步完善社科评价体系具有重要战略意义. 相似文献
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The role of location and social strength for friendship prediction in location-based social networks
Jorge C. Valverde-Rebaza Mathieu Roche Pascal Poncelet Alneu de Andrade Lopes 《Information processing & management》2018,54(4):475-489
Recent advances in data mining and machine learning techniques are focused on exploiting location data. These advances, combined with the increased availability of location-acquisition technology, have encouraged social networking services to offer to their users different ways to share their location information. These social networks, called location-based social networks (LBSNs), have attracted millions of users and the attention of the research community. One fundamental task in the LBSN context is the friendship prediction due to its role in different applications such as recommendation systems. In the literature exists a variety of friendship prediction methods for LBSNs, but most of them give more importance to the location information of users and disregard the strength of relationships existing between these users. The contributions of this article are threefold, we: 1) carried out a comprehensive survey of methods for friendship prediction in LBSNs and proposed a taxonomy to organize the existing methods; 2) put forward a proposal of five new methods addressing gaps identified in our survey while striving to find a balance between optimizing computational resources and improving the predictive power; and 3) used a comprehensive evaluation to quantify the prediction abilities of ten current methods and our five proposals and selected the top-5 friendship prediction methods for LBSNs. We thus present a general panorama of friendship prediction task in the LBSN domain with balanced depth so as to facilitate research and real-world application design regarding this important issue. 相似文献
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