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Chaos theory as a model for interpreting information systems in organizations
Author(s) -
McBride Neil
Publication year - 2005
Publication title -
information systems journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.635
H-Index - 89
eISSN - 1365-2575
pISSN - 1350-1917
DOI - 10.1111/j.1365-2575.2005.00192.x
Subject(s) - chaos theory , aperiodic graph , information system , management science , computer science , attractor , dynamical systems theory , key (lock) , systems theory , organizational theory , information theory , knowledge management , chaos (operating system) , chaotic , mathematics , artificial intelligence , engineering , economics , management , mathematical analysis , electrical engineering , statistics , physics , computer security , combinatorics , quantum mechanics
. Chaos theory concerns the qualitative study of unstable aperiodic behaviour in deterministic non‐linear dynamical systems. Concepts from chaos theory have recently been applied as a model for interpreting organizational change and understanding organizational behaviour. This paper applies these concepts to the study of information systems in organizations. Key concepts from chaos theory are identified and used to develop an interpretive framework. The importance of understanding the initial conditions when an information systems strategy is developed or an information system is implemented is highlighted. The idea of strange attractors, patterns of behaviours of information systems, organizations and actors, which are repeated is developed, and the effect of internal and external events and choices is considered. These chaos theory concepts are applied to a case study of information systems strategy implementation in the UK probation service. It is concluded that concepts from chaos theory offer valuable support in developing a coherent and meaningful story concerning interactions between information systems and their host organizations.