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Journal of the Association for Information Systems
Article . 2019 . Peer-reviewed
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Deconstructing Information Sharing

Authors: Paul Beynon-Davies; Yingli Wang;

Deconstructing Information Sharing

Abstract

Information sharing between actors, working in different institutions, is proposed by much literature to improve aspects of both intra and inter-institutional performance. However, it is unclear from the literature what exactly information sharing is and why it is important to institutional performance. This paper seeks to deconstruct the concept of information sharing, particularly within aspects of the supply chain. We shall argue that the central problem with the concept of information sharing is that it relies on a notion of information as stuff that can be manipulated, transmitted, and used relatively unproblematically between organizations. We wish to question conventional notions of this construct by examining and analyzing a case of information sharing, applicable within an international supply chain as well as several problems experienced with such sharing. Through deconstructing this case we demonstrate how certain perceived problems in information sharing are better conceptualized as breakdowns in the inter-institutional scaffolding of data structures.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
bronze