Predicting materials suppliers' bad debt

Nicholas, J; Holt, G D and Mihsein, M (2000) Predicting materials suppliers' bad debt. Journal of Construction Research, 1(2), pp. 159-167. ISSN 1609-9451

Abstract

Present methods for evaluating contractor's creditworthiness have been found to be ad-hoc and bespoke. As such, materials suppliers place themselves in a position of considerable risk when they furnish contractors with credit. Very often, the result of this is bad debt for the supplier. By considering a UK nation-wide survey of suppliers' credit control and debt collection practices, this paper presents two multivariate discriminant analysis models. The first, models suppliers' percentage bad debt incurred in financial year 1997-8. The second model complements the first, by investigating the relationship between suppliers' targeted profit margins (minus bad debt incurred), for the same time period. The first model identifies that percentage of bad debt incurred is related to: whether suppliers implement a standard procedure for collecting overdue accounts; and their philosophy for checking contractor's creditworthiness. The second model identifies that suppliers' targeted profit percentage (minus bad debt incurred) is related to: their standard terms of payment imposed onto debtors; whether they insure against bad debt; whether guarantees are sought for substantial orders; their financial growth trend; and method(s) used to establish contractor credit limits. The paper shows that failure by suppliers to realize the risk they expose themselves to when granting credit, is directly linked to the level of bad debt they incur.

Item Type: Article
Uncontrolled Keywords: contractors; credit; debt; materials suppliers; risk
Index terms: guarantee, profit, philosophy, survey, discriminant analysis
Subjects: contract structure, philosophical studies, statistical analysis, data collection methods, economic analysis
Topics: Research Practice, Business Strategy, Procurement
Descriptive scope: 4 CTEA

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