Location

Online

Event Website

https://hicss.hawaii.edu/

Start Date

3-1-2022 12:00 AM

End Date

7-1-2022 12:00 AM

Description

Infobesity is characterized by information overload whereby firms and decision makers collect more information than they need, or they can efficiently use. While recent studies have begun to unravel the antecedents of infobesity in organizations, there is a need to examine the relationship between the frequency and the degree of experiencing infobesity originating from enterprise systems. We use a research design that integrates inductive analytics and abductive discovery to uncover the interaction of multi-level antecedents of infobesity and conclude that the rate at which firms encounter infobesity drives the perception of the intensity at which the overload will be experienced.

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Jan 3rd, 12:00 AM Jan 7th, 12:00 AM

Unravelling the Origins of Infobesity: The Impact of Frequency on Intensity

Online

Infobesity is characterized by information overload whereby firms and decision makers collect more information than they need, or they can efficiently use. While recent studies have begun to unravel the antecedents of infobesity in organizations, there is a need to examine the relationship between the frequency and the degree of experiencing infobesity originating from enterprise systems. We use a research design that integrates inductive analytics and abductive discovery to uncover the interaction of multi-level antecedents of infobesity and conclude that the rate at which firms encounter infobesity drives the perception of the intensity at which the overload will be experienced.

https://aisel.aisnet.org/hicss-55/cl/social_media/4