Parvar, J; Lowe, D; Emsley, M and Duff, A R (2000) Neural networks as a decision support system for the decision to bid process. In: Akintoye, A (ed.) Proceedings of 16th Annual ARCOM Conference, 6-8 September 2000, Glasgow, UK.
Abstract
Neural networks are information processing systems that can automate semi-structured knowledge domains. Neural networks complement and enhance the capabilities of conventional systems in order to increase productivity in a given domain. Research into the application of neural networks in the construction industry indicates the maturity of the technology and the system development approach. In order to have practical application and contribute to the notion of wealth creation in society, research must be focused on transferring the know-how acquired through research to the industry. The paper recommends involving the end users throughout the system development process, and creating an environment within which direct and indirect learning can be achieved by practitioners. An example of this approach, which develops a decision support system for the decision to bid process, is described and evaluated.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | bidding; decision support system; neural networks |
| Index terms: | practitioner, productivity, information processing, bidding, construction industry, neural network, society, decision to bid, decision support, end user |
| Subjects: | data science, bidding, decision analysis, management, artificial intelligence, practitioner, communities and social development, stakeholder, industry analysis |
| Topics: | Risk Management, Research Practice, Procurement, Business Strategy, Stakeholder Management, Digital Applications, Roles and Professions |
| Descriptive scope: | 3 PCT |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here