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Success criteria for systems led transformation: Managerial implications for global operations management

Udechukwu Ojiako (Division of Project Management, University of Northumbria, Newcastle upon Tyne, UK)
Stuart Maguire (The Management School, Sheffield University, Sheffield, UK)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 22 August 2008

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Abstract

Purpose

Organisational transformation has been a major research theme over the last few decades. The main emphasis focuses on how successful organisations are using information systems and technology (IS/IT) to transform business operations. This paper aims to summarize and evaluate the key perspectives and concepts of change management. These perspectives and concepts are used to conduct an overview of the transformation of a major UK telecommunications company is using IS as a driver.

Design/methodology/approach

This paper focuses on trying to understand the whole range of systems‐related problems that may confront an organisation during the introduction of new operational systems as part of organisational change and transformation. The primary objective is to identify best practice. A case study focusing on a large organisation is the approach used to try and elicit learning.

Findings

The view emerging from the case study is that there are generic problems that need to be addressed especially related to how system changes, processes and the customer are managed. Even with an increasing caseload of examples where large firms are unsuccessfully with major organisational transformations‐companies are still willing to undergo this risky change process.

Research limitations/implications

It is intended that this best practice framework will be used in other organisational environments.

Originality/value

The paper contributes to widening studies on systems introduction as part of organisational change.

Keywords

Citation

Ojiako, U. and Maguire, S. (2008), "Success criteria for systems led transformation: Managerial implications for global operations management", Industrial Management & Data Systems, Vol. 108 No. 7, pp. 887-908. https://doi.org/10.1108/02635570810897982

Publisher

:

Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

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