1. THE INFORMATION OVERLOAD PHENOMENON: THE INFLUENCE OF BAD - AND (IR) RELEVANT INFORMATION
- Author
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Bryan Temple, Elizabeth Williamson, and Thomas Rachfall
- Subjects
Engineering ,Operations research ,business.industry ,media_common.quotation_subject ,Data science ,Information overload ,Field (geography) ,Technology management ,Knowledge worker ,Feeling ,Conceptual framework ,Phenomenon ,business ,Relevant information ,media_common - Abstract
Almost every knowledge worker can relate to feelings of Information Overload (IO), but in reality the phenomenon is not well understood. IO can be critical for individuals and organizations. Despite intensive research during the last decades this complex scientific discipline lacks comprehensive research for parts of the possible impact factors. This research presents a conceptual framework and some variables to the type of information. A case study approach has been conducted to examine the relationship between bad-, irrelevant- and relevant information with IO. The research found out that too much bad information as well as relevant information has a positive effect on IO. The contribution to the field of IO research is a better understanding of the concept and the impact of the type of information to IO.
- Published
- 2014