Decision Support and Systems Interoperability in Global Business Management
Author(s)
Datta, Shoumen; Lyu, JrJung; Ping-Shun, Chen
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Show full item recordAbstract
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.
Date issued
2007Publisher
International Journal of Electronic Business Management
Keywords
Systems, Interoperability, Supply Chain Management, Semantic Web, Agent Systems, Ontology, Unique Identification, eBusiness
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