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https://doi.org/10.5220/000604...
Article . 2016 . Peer-reviewed
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Managing Heterogeneous Information in a System of Information Systems

Authors: Majd Saleh; Veronique Misseri; Marie-Hélène Abel;

Managing Heterogeneous Information in a System of Information Systems

Abstract

Organizations look for information coming from many heterogeneous resources, which are in turn produced by several users working on different Information Systems. Those heterogeneous resources might complement each other, hence producing useful information for the organization. Another possibility is that they might overlap or contradict, therefore producing redundant contradictory information. A common problem that faces organizations here is in the overwhelming amount of the heterogeneous resources produced, and the time required to access and manages those resources under the goal of finding useful information in them. Therefore, one of the most important aspects concerning Information Systems in organizations is the way to manage the knowledge produced from those systems. This issue becomes more significant when dealing with complex Information Systems that work in the digital environment forming the Digital Ecosystem (DE) of modern organizations. As organizations attempts to move forward in this complex Digital Ecosystem, They need to apply out-of-the-box ideas to complex systems such as System of Information Systems (SoIS). Thus, we aim to develop a solution for managing heterogeneous information in a System of Information Systems, and move forward from Digital Ecosystems to Collaborative System of Information Systems. In this paper we present our definition of a Digital Ecosystem. Also, we will detail the model of the SoIS. This model is used to construct the prototype for managing heterogeneous information in a System of Information Systems.

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    citations
    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.
    Average
    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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Found an issue? Give us feedback
citations
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
Average
Average
Average