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.
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