Ranasinghe, N; Perera, B A K S and Dilakshan, R (2022) Drivers of decisions behind outsourcing of quantity surveying services in construction projects. International Journal of Construction Management, 22(2), pp. 292-304. ISSN 1562-3599
Abstract
Outsourcing has become fashionable for solving business problems. Although outsourcing is rapidly gaining popularity in the world, it is still not being widely practiced in the construction industry despite the huge contribution the industry makes to the gross domestic product. There have been no previous studies on outsourcing in the field of quantity surveying (QS). Hence, the aim of this study was to fill the literature gap. The required data were collected using a literature review, semi-structured interviews and a questionnaire survey. The collected data were analysed using manual content analysis and analytical hierarchy process. 'Providing advice on ADR methods' has the highest potential for outsourcing whilst 'preparation of accounts' has the lowest potential. Among the drivers of outsourcing decisions on QS services, 'management and technical drivers' is of highest significance while 'political/environmental drivers' is of least significance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | analytical hierarchy process; drivers; outsourcing; quantity surveying |
| Index terms: | questionnaire, construction project, survey, literature review, content analysis, surveying, interview, analytical hierarchy process, construction industry, gross domestic product, outsourcing |
| Subjects: | decision-making and optimization, industry analysis, production management, data analysis and analytics, economic analysis, health monitoring assessment and metrics, data collection methods, business |
| Topics: | Project Management, Research Practice, Health and Safety, Business Strategy, Procurement |
| Descriptive scope: | 4 PTEA |
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