Identifying opportunities for decision support systems in support of regional resource use planning: an approach through soft systems methodology
Zhu, Xuan, and Dale, Allan (2000) Identifying opportunities for decision support systems in support of regional resource use planning: an approach through soft systems methodology. Environmental Management, 26 (4). pp. 371-384.
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Abstract
Regional resource use planning relies on key regional stakeholder groups using and having equitable access to appropriate social, economic, and environmental information and assessment tools. Decision support systems (DSS) can improve stakeholder access to such information and analysis tools. Regional resource use planning, however, is a complex process involving multiple issues, multiple assessment criteria, multiple stakeholders, and multiple values. There is a need for an approach to DSS development that can assist in understanding and modeling complex problem situations in regional resource use so that areas where DSSs could provide effective support can be identified, and the user requirements can be well established. This paper presents an approach based on the soft systems methodology for identifying DSS opportunities for regional resource use planning, taking the Central Highlands Region of Queensland, Australia, as a case study.
Item ID: | 44997 |
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Item Type: | Article (Research - C1) |
ISSN: | 1432-1009 |
Keywords: | soft systems methodology; decision support systems; regional resource use planning |
Date Deposited: | 08 Aug 2016 03:49 |
FoR Codes: | 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080605 Decision Support and Group Support Systems @ 50% |
SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 50% 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems @ 50% |
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