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Article Dans Une Revue ACM SIGMIS Database Année : 2023

Email Overload: Investigating Technology-fit Antecedents and Job-related Outcome

Résumé

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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Dates et versions

hal-04144262 , version 1 (18-12-2023)

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Monideepa Tarafdar, Helena Wenninger, Jean-François Stich. Email Overload: Investigating Technology-fit Antecedents and Job-related Outcome. ACM SIGMIS Database, 2023, 54 (2), pp.77-96. ⟨10.1145/3595863.3595869⟩. ⟨hal-04144262⟩
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