A Practitioner-Oriented Decision Support Process for Forestry Pest Management

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Author(s)
Miah, Shah Jahan
Debuse, Justin
Debuse, Valerie
Kerr, Don
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Rosemann, M.

Date
2010
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172241 bytes

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Brisbane, Australia

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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.

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21st Australasian Conference on Information Systems (ACIS 2010)

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© 2010 Australasian Association for Information Systems. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.

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Computer Software not elsewhere classified

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