Forbes, D; El-Haram, M; Horner, M and Lilley, S (2012) Forecasting the number of jobs created through construction. In: Smith, S D (ed.) Proceedings of 28th Annual ARCOM Conference, 3-5 September 2012, Edinburgh, UK.
Abstract
The construction sector is one of the largest single contributors to employment. A wide and varied set of metrics is used by official channels to predict the number of jobs that will be created for a given value of construction expenditure. These values tend to be shrouded in context specificity (i.e., a peak workforce, or number of jobs created for one year) which meet the agenda of the organization making the announcement. The research reported in this paper reviews the outcomes of five years of research into labour forecasting culminating in the development of the Labour Forecasting Tool (LFT). The research explores three approaches to deriving labour coefficients (the amount of labour per
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | employment; labour forecasting; productivity |
| Index terms: | employment, productivity, forecasting, construction sector |
| Subjects: | industry analysis, management, prediction and forecasting |
| Topics: | Human Resources, Business Strategy, Research Practice |
| Descriptive scope: | 3 CTA |
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