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A Practitioner-Oriented Decision Support Process for Forestry Pest Management
Conference paper   Open access   Peer reviewed

A Practitioner-Oriented Decision Support Process for Forestry Pest Management

Shah J Miah, Justin Debuse, Don Kerr and Valerie Debuse
Proceedings of the 2010 Australasian Conference on Information Systems, (1-10), 57
Australasian Conference on Information Systems (ACIS), 21st (Brisbane, Australia, 01-Dec-2010–03-Dec-2010)
Australasian Association for Information Systems (AAIS)
2010
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Abstract

DSS pest management design science
The article discusses a new decision support process for forestry pest management. Over the past few years, DSS have been introduced for forestry pest management, providing forest growers with advice in areas such as selecting the most suitable pesticide and relevant treatment. Most of the initiatives process knowledge from various domains for providing support for specific decision making problems. However, very few studies have identified the requirements of developing a combined process model in which all relevant practitioners can contribute and share knowledge for effective decision making; such an approach would need to include the decision makers' perspective along with other relevant attributes such as the problem context and relevant policies. We outline a decision support process for forestry pest management, based on the design science research paradigm, in which a focus group technique has application to acquire both expert and practical knowledge in order to construct the DSS solution.

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