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A Practitioner-Oriented Decision Support Process for Forestry Pest Management

Miah, Shah Jahan, Debuse, Justin, Kerr, Debra and Debuse, Valerie (2010) A Practitioner-Oriented Decision Support Process for Forestry Pest Management. In: Information systems : defining and establishing a high impact discipline : 21st Australasian Conference on Information Systems, 1-3 December 2010, Brisbane. Rosemann, Michael, Green, Peter and Rohde, Fiona, eds. Australasian Conference on Information Systems, Brisbane.

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Abstract

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.

Item Type: Book Section
ISBN: 9781864356434
Additional Information:

Paper 57.

Uncontrolled Keywords: ResPubID22736, DSS, design science, decision-making models
Subjects: FOR Classification > 0705 Forestry Sciences
FOR Classification > 0806 Information Systems
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 31 May 2013 05:15
Last Modified: 05 Sep 2013 23:48
URI: http://vuir.vu.edu.au/id/eprint/9801
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Citations in Scopus: 2 - View on Scopus

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