A Framework for Managing Complexity in Information Systems

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Author(s): Mala Kaul (Department of Accounting and Information Systems, College of Business, University of Nevada, Reno, NV, USA), Veda C. Storey (Department of Computer Information Systems, Robinson College of Business, Georgia State University, Atlanta, GA, USA)and Carson Woo (Sauder School of Business, University of British Columbia, Vancouver, Canada)
Copyright: 2017
Volume: 28
Issue: 1
Pages: 12
Source title: Journal of Database Management (JDM)
Editor(s)-in-Chief: Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/JDM.2017010103

Keywords: Data Mining and Databases / Databases / Information Science Reference / Library & Information Science

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Abstract

A particularly difficult, but important, challenge in the design and development of contemporary information systems is dealing with complexity. Although complexity has been richly discussed from various perspectives in the literature, there is limited guidance on how to address complexity in information systems design. This research analyzes different approaches to handling complexity and finds that there exists a plurality of ways in which to address complexity that are dependent upon the given situation. This analysis results in the derivation of a framework for addressing complexity in information systems. The framework explicitly recognizes implications and limitations of decomposition, inner-outer environments, abstractions, and decentralization, and the role of Ontology. Application of the framework is intended to enable information researchers to identify and adapt applicable strategies for managing complexity in any domain.

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A Framework for Managing Complexity in Information Systems

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