An analysis-form of soft systems methodology for information systems maintenance

Lai, Ivan Ka-Wai and Mula, Joseph M. (2009) An analysis-form of soft systems methodology for information systems maintenance. In: Information systems research methods, epistemology, and applications. Information Science Reference (IGI Global), Hershey, PA. United States, pp. 197-209. ISBN 978-1-60566-040-0

Abstract

Soft Systems Methodology (SSM) has been employed to increase the effectiveness of organizational requirement analysis in Information Systems (IS) development in recent years. Various forms of SSM for IS development have been developed and examined in different environments by different researchers. There appears to be little research or application that can be identified of the use of SSM in IS maintenance. The objective of this chapter is to develop a conceptual 'analysis-form' of SSM for IS maintenance, so that further research can be undertaken in the application of this conceptual model.

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Item Type:	Book Chapter (Commonwealth Reporting Category B)
Refereed:	Yes
Item Status:	Live Archive
Additional Information:	Chapter 11. Permanent restricted access to paper due to publisher copyright restrictions. See the Website location above for details.
Faculty / Department / School:	Historic - Faculty of Business - School of Accounting, Economics and Finance
Date Deposited:	12 Nov 2008 04:36
Last Modified:	12 Sep 2016 02:24
Uncontrolled Keywords:	soft systems mehodology
Fields of Research :	15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150301 Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence) 08 Information and Computing Sciences > 0806 Information Systems > 080608 Information Systems Development Methodologies 20 Language, Communication and Culture > 2001 Communication and Media Studies > 200105 Organisational, Interpersonal and Intercultural Communication
Socio-Economic Objective:	E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI:	http://eprints.usq.edu.au/id/eprint/4612

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