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    2013年众包外文翻译--众包中用户参与的理论模型

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    2013年众包外文翻译--众包中用户参与的理论模型

    1、5800 英文单词, 3.2 万英文字符 ,中文 9700 字 文献出处: De Vreede T, Nguyen C, De Vreede G J, et al. A theoretical model of user engagement in crowdsourcingC/International Conference on Collaboration and Technology. Springer, Berlin, Heidelberg, 2013: 94-109. A Theoretical Model of User Engagement in Crowdsourcing Tr

    2、iparna de Vreede, Cuong Nguyen, Gert-Jan de Vreede, Imed Boughzala, Onook Oh, and Roni Reiter-Palmon Abstract Social media technology has enabled virtual collaborative environ- ments where people actively interact, share knowledge, coordinate activities, solve problems, co-create value, and innovate

    3、. Organizations have begun to le- verage approaches and technologies to involve numerous people from outside their boundaries to perform organizational tasks. Despite the success and popu- larity of this crowdsourcing phenomenon, there appears to be a distinct gap in the literature regarding the emp

    4、irical evaluation of the factors involved in a crowdsourcing user experience. This paper aims to fill this void by proposing a theoretical model of the antecedents and their relationships for crowdsourcing user engagement. It is defined as the quality of effort online users devote to col- laboration

    5、 activities that contribute directly to desired outcomes. Drawing from research in psychology and IS, we identify three critical elements that precede crowdsourcing user engagement: personal interest in topic, goal clarity, and motivation to contribute. This paper examines the theoretical basis of t

    6、hese va- riables of interest in detail, derives a causal model of their interrelationships, and identifies future plans for model testing. Keywords: Crowdsourcing, engagement, open collaboration, motivation, social media. 1. Introduction The advent of social web technologies has made it feasible for businesses, non- profits, and the government to engage large numbers of Internet users in performing organizational tasks. This phenomenon is popularly known by the term “crowdsourc- ing” (Howe


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