Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structu...Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structure in which a follower will receive all the micro-blogs from the users he/she follows, named followees. With the increasing number of registered users in this kind of sites, finding relevant and reliable sources of information becomes essential. The reduced number of characters present in micro-posts along with the informal language commonly used in these sites make it difficult to apply standard content-based approaches to the problem of user recommendation. To address this problem, we propose an algorithm for recommending relevant users that explores the topology of the network considering different factors that allow us to identify users that can be considered good information sources. Experimental evaluation conducted with a group of users is reported, demonstrating the potential of the approach.展开更多
Social media technologies have made it increasingly feasible for employees to be connected to work. WeChat, a newly emerging social media platform, is widely used in daily life, yet there is still little understanding...Social media technologies have made it increasingly feasible for employees to be connected to work. WeChat, a newly emerging social media platform, is widely used in daily life, yet there is still little understanding of the consequences of the use of WeChat groups in enterprise. Based on boundary theory, we suggested that the use of WeChat groups in enterprise have both pros and cons for employees. We gathered data from an online survey of 202 employees. Results show that posting work-related content in enterprise WeChat groups had a beneficial impact on work for employees but also caused work-life conflict （WLC）. However, posting life-related content in enterprise WeChat groups contributes to employees＇ life-work enhancement （LWE）. Contributions and future study directions of these findings are discussed.展开更多
The digital transformation of traditional manufacturing industry is an inevitable trend and inherent development requirement of China’s digital economy.This paper systematically researches the digital transformation ...The digital transformation of traditional manufacturing industry is an inevitable trend and inherent development requirement of China’s digital economy.This paper systematically researches the digital transformation mechanism of traditional manufacturing industry enabled by digital economy from the social,technical,innovative environmental and organizational sub-systems based on the system dynamics(SD)and the social shaping of technology theory(SST).The simulated experiments predicate the different digital transformation paths of the labor-intensive,capital-intensive and technology-intensive traditional manufacturing enterprises under the guidance of Industry 4.0 or"Industry of the future"policy by constructing the system dynamics model of causality,stock flow process,which has vital significance for China’s manufacturing industry to transform from a giant towards a manufacturing power.展开更多
基金supported by the National ScientificTechnical Research Council (CONICET) of Argentina under Grant PIP No. 114-200901-00381
文摘Nowadays, more and more users share real-time news and information in micro-blogging communities such as Twitter, Tumblr or Plurk. In these sites, information is shared via a followers/followees social network structure in which a follower will receive all the micro-blogs from the users he/she follows, named followees. With the increasing number of registered users in this kind of sites, finding relevant and reliable sources of information becomes essential. The reduced number of characters present in micro-posts along with the informal language commonly used in these sites make it difficult to apply standard content-based approaches to the problem of user recommendation. To address this problem, we propose an algorithm for recommending relevant users that explores the topology of the network considering different factors that allow us to identify users that can be considered good information sources. Experimental evaluation conducted with a group of users is reported, demonstrating the potential of the approach.
文摘Social media technologies have made it increasingly feasible for employees to be connected to work. WeChat, a newly emerging social media platform, is widely used in daily life, yet there is still little understanding of the consequences of the use of WeChat groups in enterprise. Based on boundary theory, we suggested that the use of WeChat groups in enterprise have both pros and cons for employees. We gathered data from an online survey of 202 employees. Results show that posting work-related content in enterprise WeChat groups had a beneficial impact on work for employees but also caused work-life conflict （WLC）. However, posting life-related content in enterprise WeChat groups contributes to employees＇ life-work enhancement （LWE）. Contributions and future study directions of these findings are discussed.
基金the major research achievements of NSSF project"Research on deep fusion mechanism,spillover effect and realization path of digital economy and traditional manufacturing industry"supported by the National Social Science Foundation of China(Grant No.20BJY092)
文摘The digital transformation of traditional manufacturing industry is an inevitable trend and inherent development requirement of China’s digital economy.This paper systematically researches the digital transformation mechanism of traditional manufacturing industry enabled by digital economy from the social,technical,innovative environmental and organizational sub-systems based on the system dynamics(SD)and the social shaping of technology theory(SST).The simulated experiments predicate the different digital transformation paths of the labor-intensive,capital-intensive and technology-intensive traditional manufacturing enterprises under the guidance of Industry 4.0 or"Industry of the future"policy by constructing the system dynamics model of causality,stock flow process,which has vital significance for China’s manufacturing industry to transform from a giant towards a manufacturing power.
