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How can we measure Email Overload?

机译:我们如何衡量电子邮件超载?

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In times of digital information and communication technologies the overload by emails becomes more and more relevant for many employees. To reduce or even avoid this overload, companies can implement specific countermeasures as soon as they recognize the overflow their employees' experience. But if somebody is overloaded can not be answered directly by oneself; therefore it is necessary to use suitable constructs to measure email overload. This article includes a literature review to identify constructs to measure this phenomenon. From the field of information systems 55 highly ranked journals and conferences, furthermore 24 sources from the field of psychology were included. Finally, we could identify three different constructs by Dabbish and Kraut (2006), Hogan and Fisher (2006), and Sumecki, Chipulu and Ojiako (2011) to measure email overload. Beyond that, the article focuses on the description of the development of these instruments, discusses advantages and disadvantages, and gives an outlook what should be improved in these instruments in the future.
机译:在数字信息和通信技术时代,电子邮件的过载对于许多员工而言变得越来越重要。为了减少甚至避免这种超载,一旦公司意识到员工经验的溢出,便可以实施特定的对策。但是如果某人超负荷不能自己直接回答;因此,有必要使用合适的结构来衡量电子邮件过载。本文包括一篇文献综述,以鉴定可测量此现象的结构。在信息系统领域中,有55种排名很高的期刊和会议,此外还包括24种心理学领域的资源。最后,我们可以用Dabbish和Kraut(2006),Hogan和Fisher(2006)以及Sumecki,Chipulu和Ojiako(2011)来确定三种不同的结构来测量电子邮件过载。除此之外,本文重点介绍了这些工具的发展,讨论了优点和缺点,并展望了将来在这些工具中应该改进的地方。

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