Campbell, J M and Smith, S D (2006) CBR research using the 'think', 'plan', 'do' classification method. In: Boyd, D (ed.) Proceedings of 22nd Annual ARCOM Conference, 4-6 September 2006, Birmingham, UK.
Abstract
Recent skill shortages in the UK Construction Industry have undoubtedly lead to a loss of tacit knowledge and experience. In addition, clients' need for greater value and better construction services results in companies striving for competitive advantage by becoming more efficient in the way they manage their knowledge systems and resources. Although Case-based reasoning (CBR) originated in artificial intelligence research, it has transcended barriers between technology and methodology to become applicable in many industrial and research fields. Research and applications have shown CBR can emulate human reasoning and decision making processes and as such a wide variety of construction tasks have been used in case studies. Furthermore, CBR applications may cover many areas of a project life cycle, but the extent of coverage was generally unknown. By mapping an innovative three-stage classification method to the accepted model of a project life cycle, past CBR research can be grouped and inspected. This 'think', 'plan', and 'do' classification method has shown imbalance of CBR research applications within the construction industry with little aid to those involved in the 'doing' phases. The 'think', 'plan', 'do' classification method has identified potential areas where the further application of CBR may prove useful within infrastructure management, and in particular within an educational role for safety and risk management.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | benchmarking; civil engineering; health and safety; information management; organizational culture |
| Index terms: | mapping, methodology, risk management, construction industry, tacit knowledge, benchmarking, organizational culture, artificial intelligence, reasoning, skill shortage, competitive advantage, infrastructure management, health and safety, case study, case-based reasoning, becoming, life cycle, decision-making process |
| Subjects: | artificial intelligence, data collection methods, risk assessment, value management, cognitive psychology, decision analysis, sociology, market analysis, philosophical process, industry analysis, research methods, spatial and geospatial analysis, management, performance measurement, professional development, infrastructure engineering, health safety and environment |
| Topics: | Risk Management, Health and Safety, Engineering Principles, Information Management, Research Practice, Project Management, Organizational Design, Digital Applications, Quality Management, Human Resources |
| Descriptive scope: | 4 PCTE |
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