Decision support, learning and rural resource management

Agricultural Systems

Volumn 73, Issue 1, 2002, Pages 113-127

  Walker, Daniel H ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT SYSTEM; LEARNING; RESOURCE MANAGEMENT; RURAL PLANNING;

EID: 0036276218     PISSN: 0308521X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0308-521X(01)00103-2     Document Type: Conference Paper

References (25)

1. Experiments, quasi-experiments and case studies: A review of empirical methods for evaluating decision support systems
2. Some issues in the design of agricultural decision support systems
3. Perceived usefulness, perceived ease of use and user acceptance of information technology
4. Expert support for problem formulation in urban planning
5. Application of AEAM (Adaptive Environmental Assessment and Management) to water quality in the Latrobe River catchment
6. Explaining the role of user participation in information systems use
7. Users' attitudes and roles in the development and evaluation of knowledge-based decision support systems for agricultural advisers
8. Soft systems: A non-computer view of decision support
9. Computers and decision-making
10. Information systems failures - A survey and classification of empirical literature
11. User involvement as an interaction process: A case study
12. The role of organizational politics in GIS implementation
13. Natural resource decision support: Theory and practice
14. Interactive implementation: Promoting acceptance of expert systems
15. Presentation to Decision Support 2001
16. Integrating research results into decision-making about natural resource management at a catchment scale
17. Delivering flexible decision support for environmental management - A case study in integrated catchment management
18. Information economics: A practical approach to valuing information systems
19. Decision support systems for integrated environmental management: Anticipating and interrogating bias
20. Information technology in support of individual decision-making
21. Identifying opportunities for decision support systems in support of regional resource use planning: An approach through soft systems methodology