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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/7517

Title: Organisational aspects of information processing systems
Authors: Blenkinsop, S.A.
Issue Date: 1993
Publisher: © S.A. Blenkinsop
Abstract: This thesis sets out to investigate the organizational aspects of information processing systems at a macro organizational level of analysis, using both static and dynamic modelling techniques. Chapter 1 validates the use of organizational taxonomies for small and medium sized manufacturing firms and highlights the importance of the dynamic nature of organizational variables. Chapter 2 models each of the ten Miller configurations using Beer's Viable System Model, enabling the strengths and weaknesses in each of the five information processing systems to be identified. Chapter 3 introduces a dynamic element into what would otherwise be static models. The Viable System Model is used once again, in this instance to highlight the information processing properties of organizational transition states. Chapter 4 investigates the concept of configuration at the System 3 level of analysis, i. e. the existence of internal information system archetypes. The results suggest distinct clusters amongst existing management accounting and control systems, but fail to link them to the organizational configuration identified by Miller and Friesen's 31 variable questionnaire. Chapter 5 studies the System 4 function, validating its role within the Viable System Model and developing a measure of Perceived Environmental Uncertainty. Chapter 6 looks at the System 5 policy-making function in more detail, introducing the concept of delta to account for softer issues such as personality traits, locus of control and culture, all of which prove to be of significant importance in small and medium sized manufacturing firms.
Description: A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy of Loughborough University.
URI: https://dspace.lboro.ac.uk/2134/7517
Appears in Collections:PhD Theses (Mechanical, Electrical and Manufacturing Engineering)

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