Critical success factors for value management studies in construction

Shen, Q and Liu, G (2003) Critical success factors for value management studies in construction. Journal of Construction Engineering and Management, 129(5), pp. 485-491. ISSN 0733-9364

Abstract

Value management (VM) studies often face pressure caused by limited time and resources. The identification of key factors for value management success enables appropriate allocation of the limited time and resources in order to achieve better output. Most of the related past work only identified critical success factors for value management studies in general. This paper seeks to distinguish these factors according to their degrees of importance in relation to success. A questionnaire survey was conducted to gather views from experts with experience in value management practice. The findings of the survey reveal the relative importance of the nominated success factors. Two factors that had not been highlighted by previous research are identified as having a significant influence on the success of VM studies. In order to explore the underlying construction among the identified critical success factors (CSFs), factor analysis was adopted to investigate the cluster of the relationship. The results indicate that the success of VM studies requires a combined effort from all parties involved.

Item Type: Article
Uncontrolled Keywords: construction management; surveys; value engineering
Index terms: factor analysis, value management, critical success factor, questionnaire, survey, success factor, value engineering, face, relative importance
Subjects: management, statistical analysis, data collection methods, risk assessment, value management, control systems, psychology, health monitoring assessment and metrics
Topics: Research Practice, Project Management, Health and Safety, Cost Management, Risk Management, Value Management, Organizational Design
Descriptive scope: 3 CEA

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