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Decision Support and Systems Interoperability in Global Business Management

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Decision Support and Systems Interoperability in Global Business Management _ 11 September 2007 _ Datta, Lyu, Chen.pdf

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Author(s)
Datta, Shoumen
•
Lyu, JrJung
•
Ping-Shun, Chen
Date Issued
2007
Publisher
International Journal of Electronic Business Management
Abstract
Globalization of business and volatility of financial markets has catapulted ‘cycle-time’ as a key indicator of operational efficiency in business processes. Systems automation holds the promise to augment the ability of business and healthcare networks to rapidly adapt to changes or respond, with minimal human intervention, under ideal conditions. Currently, system of systems (SOS) or organization of networks contribute minimally in making decisions because collaboration remains elusive due the challenges of complexity. Convergence and maturity of research offers the potential for a paradigm shift in interoperability. This paper explores some of these trends and related technologies. Irrespective of the characteristics of information systems, the development of various industry-contributed ontologies for knowledge and decision layers, may spur self-organizing SOS to increase the ability to sense and respond. Profitability from pervasive use of ontological frameworks and agent-based modeling may depend on the ability to use them through better enterprise and extraprise exchange.
Description
Development of ontologies that represent the knowledge of the problem space may facilitate use of agent systems within the semantic web infrastructure. Supply chain operations involving buyers and sellers separated by geography and political boundaries must waddle through a host of process intermediaries (finance, logistics, compliance, security) yet reduce cycle times to boost efficiency and hence profitability. New approaches, especially the emergence of unified identification, web services and SOA, taken together with agents and the semantic web offers opportunities for interoperability in business, finance, healthcare and security.
Subjects
Systems, Interoperability, Supply Chain Management, Semantic Web, Agent Systems, Ontology, Unique Identification, eBusiness
MIT Department
Massachusetts Institute of Technology. Auto-ID Laboratory
Persistent DSpace Link
http://hdl.handle.net/1721.1/41917
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