电子邮件超载:调查与技术相关的前因和与工作相关的结果

IF 2.8 4区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Monideepa Tarafdar, H. Wenninger, Jean-François Stich
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引用次数: 0

摘要

电子邮件是组织中使用最广泛的通信应用程序。然而,电子邮件与许多负面方面联系在一起,最突出的是“电子邮件超载”——这一现象在理论上很有趣,但在实践中却令人烦恼,因为事实证明它难以管理。我们质疑当前对电子邮件过载的理解是由于缺乏对其技术匹配相关先决条件和工作相关结果的理解,然后调查组织提供给个人的通信应用程序与(1)他们想要的通信应用程序之间缺乏匹配如何影响电子邮件过载,以及(2)适合他们的任务。我们假设,这种不匹配导致默认使用电子邮件,定义为认为电子邮件使用不当,而其他通信应用可能更适合。默认情况下,电子邮件会导致电子邮件超载。我们进一步调查了电子邮件超载对工作的影响。假设的关系得到了我们的发现的支持,基于一个大型制造组织的两阶段,多方法实证研究的数据。本文从理论上拓宽了关于电子邮件过载的学术论述,以包括正在进行的探索中建立对这一现象的更完整理解的新前提和结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Email Overload: Investigating Technology-fit Antecedents and Job-related Outcome
Email is the communication application most widely used in organizations. Yet, email is associated with a number of negative aspects, most prominently 'email overload' - a phenomenon that is theoretically interesting but vexing in practice because it has proved intractable to manage. We problematize the current understanding of email overload as being due to lack of understanding of its technology fit-related antecedents and job-related outcomes, and then investigate how email overload is influenced by a lack of fit between the communication applications that the organization provides to individuals and those that (1) they want, and that (2) are suitable for their tasks. We hypothesize that such lack of fit leads to email by default, defined as the perception of email being used improperly, when other communication applications would be better suited. Email by default is then hypothesized to lead to email overload. We further investigate job-related outcomes of email overload. The hypothesized relationships are supported by our findings, based on data from a two-stage, multi-method empirical study in a large manufacturing organization. The paper theoretically broadens the scholarly discourse on email overload to include novel antecedents and outcomes in the ongoing quest to establish a more complete understanding of this phenomenon.
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来源期刊
Data Base for Advances in Information Systems
Data Base for Advances in Information Systems INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
18
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