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Brian S. McIntosh

Researcher at Cranfield University

Publications -  26
Citations -  1177

Brian S. McIntosh is an academic researcher from Cranfield University. The author has contributed to research in topics: Decision support system & Water supply. The author has an hindex of 14, co-authored 26 publications receiving 1104 citations. Previous affiliations of Brian S. McIntosh include Griffith University.

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Position paper: Environmental decision support systems (EDSS) development - Challenges and best practices

TL;DR: The authors provide a set of best practice recommendations concerned with promoting design for ease of use, design for usefulness, establishing trust and credibility, promoting EDSS acceptance, and starting simple and small in functionality terms to help facilitate the achievement of desirable social and environmental outcomes.
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A review of the factors which influence the use and usefulness of information systems

TL;DR: The best predicting factors for IS usefulness across the life cycle were found to be user participation, user perceptions and intentions, user computer experience, top management support, support and training, external pressure, IS unit professionalism and the availability of external information sources.
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Integrated modelling and decision-support tools: a Mediterranean example

TL;DR: This paper describes how EU funded research models and understanding have been integrated into an interactive decision-support system addressing physical, economic and social aspects of land degradation in the Mediterranean.
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Tools to think with? Towards understanding the use of computer-based support tools in policy relevant research

TL;DR: It is argued that the current support tool research agenda is too focussed on hard, technical concerns and that greater emphasis needs to be given to soft, contextual aspects of design and use.
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Classifying households for water demand forecasting using physical property characteristics

TL;DR: In this article, the authors established how to classify properties in terms of their physical characteristics for the purpose of forecasting water demand and found that the most certain information available on new households during planning are the physical characteristics of the properties themselves.