A Mechanism-Based Explanation of the Institutionalization of Semantic Technologies in the Financial Industry

Abstract : This paper explains how the financial industry is solving its data, risk management, and associated vocabulary problems using semantic technologies. The paper is the first to examine this phenomenon and to identify the social and institutional mechanisms being applied to socially construct a standard common vocabulary using ontology-based models. This standardized ontology-based common vocabulary will underpin the design of next generation of semantically-enabled information systems (IS) for the financial industry. The mechanisms that are helping institutionalize this common vocabulary are identified using a longitudinal case study, whose embedded units of analysis focus on central agents of change—the Enterprise Data Management Council and the Object Management Group. All this has important implications for society, as it is intended that semantically-enabled IS will, for example, provide stakeholders, such as regulators, with better transparency over systemic risks to national and international financial systems, thereby mitigating or avoiding future financial crises.
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Tom Butler, Elie Abi-Lahoud. A Mechanism-Based Explanation of the Institutionalization of Semantic Technologies in the Financial Industry. Transfer and Diffusion of IT (TDIT), Jun 2014, Aalborg, Denmark. pp.277-294, ⟨10.1007/978-3-662-43459-8_17⟩. ⟨hal-01381192⟩

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