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A Knowledge-Based Framework to Manage Flexibility in ERP Systems

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  • Ramaraj Palanisamy

    (Department of Information Systems, The Gerald Schwartz School of Business and Information Systems, St. Francis Xavier University, Antigonish, Nova Scotia, Canada B2G 2W5, Canada)

Abstract

The need for flexibility in organisations and information systems has long been recognised. Much research has been conducted to understand the flexibility concept in various types of information systems. Comparatively less research has been conducted to understand the process of managing flexibility in enterprise resource planning (ERP) systems. This paper focuses on developing a conceptual framework for managing flexibility in ERP systems emphasising the need for a match between external and internal flexibilities. The application of the framework is illustrated with a case example. The framework is intended to understand ERP systems' flexibility enabled organisational performance. The framework will provide a basis to assess the impact of ERP systems' flexibility on organisations, to measure the internal and external flexibilities of ERP systems and to develop guidelines to manage flexibilities for ERP systems.

Suggested Citation

  • Ramaraj Palanisamy, 2006. "A Knowledge-Based Framework to Manage Flexibility in ERP Systems," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 39-53.
    • Handle: RePEc:wsi:jikmxx:v:05:y:2006:i:01:n:s0219649206001311
    DOI: 10.1142/S0219649206001311
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    References listed on IDEAS

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    1. Gary V. Howorka & Lorien A. Anderson & K. Michael Goul & Michael Hine, 1995. "A Computational Model of Coordination for the Design of Organizational Decision Support Systems," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 4(1), pages 43-70, March.
    2. Quinet, E., 2000. "Essays in Transportation Economics and Policy: A Handbook in Honor of John R. Meyer: Jose Gomez-Ibanez, William B. Tye, and Clifford Winston, editors, Brookings Institution Press, 1999," Regional Science and Urban Economics, Elsevier, vol. 30(2), pages 243-248, March.
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