A Meta-System for Information Systems
نویسنده
چکیده
At the Second Conference on Philosophical Aspects of Information Systems in 1998 the contributors presented their views with the help of various metaphors and frameworks including Dialectics, Constructivism, Soft Systems Methods, Autopoiesis, and the Panopticon. A meta-system that could encompass these frameworks would help to develop the discussion. Nomology, a decisionscience-based meta-system of qualitative structures in general decision-making, is used to interpret and distil the major points made in some of the contributions. It shows that there was general support for a constructivist approach in Information Systems. INTRODUCTION At a conference on Philosophical Aspects of Information Systems: Methodology, Theory, Practice and Critique (PAIS II) held in July 1998 at the University of the West of England, Bristol, several different philosophical approaches were used to consider some ideas about Information Systems (IS). The papers were published in Systemist (Vol. 20, Dec 1998) the journal of the UK Systems Society. While the discussion was lively the variety of systems and metaphors used militated against a meeting of minds because they lacked a common framework. Such a framework would need to be very general and comprehensive, and to operate at a high level of abstraction. One of the contributions to PAIS II (Brugha, 1998e) used Nomology, which is a decision-science based meta-system of qualitative structures in general decision-making, to configure Galliers and Sutherland's 'Stages of Growth' model for IS in a general framework called a nomological map. This paper considers some of the other papers given at PAIS II within a nomological framework. The intention of this paper is to explore the potential of this framework for considering contemporary approaches to IS research. The hope is that it could facilitate future research and discussions in IS and reduce the burden on researchers to develop scholarship that ranges from Kant to Foucault. The common factor that all systems and models have is that they involve abstractions. Abstracting involves clustering ideas and forming language. The systems are used to consider relationships between objects, which may then be tested empirically. Any system that is used as a testing framework to evaluate research done in a variety of other systems must be able to operate at a very high level of
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تاریخ انتشار 2005