Critical factors for insolvency prediction: Towards a theoretical model for the construction industry

Alaka, H A; Oyedele, L O; Owolabi, H A; Oyedele, A A; Akinade, O O; Bilal, M and Ajayi, S O (2017) Critical factors for insolvency prediction: Towards a theoretical model for the construction industry. International Journal of Construction Management, 17(1), pp. 25-49. ISSN 1562-3599

Abstract

Many construction industry insolvency prediction model (CI-IPM) studies have arbitrarily employed or simply adopted from previous studies different insolvency factors, without justification, leading to poorly performing CI-IPMs. This is due to the absence of a framework for selection of relevant factors. To identify the most important insolvency factors for a high-performance CI-IPM, this study used three approaches. Firstly, systematic review was used to identify all existing factors. Secondly, frequency of factor use and accuracy of models in the reviewed studies were analysed to establish the important factors. Finally, using a questionnaire survey of CI professionals, the importance levels of factors were validated using the Cronbach's alpha reliability coefficient and significant index ranking. The findings show that the important quantitative factors are profitability, liquidity, leverage, management efficiency and cash flow. While important qualitative factors are management/owner characteristics, internal strategy, management decision making, macroeconomic firm characteristics and sustainability. These factors, which align with existing insolvency-related theories, including Porter's five competitive forces and Mintzberg's 5Ps (plan, ploy, pattern, position and perspective) of strategy, were used to develop a theoretical framework. This study contributes to the debate on the need to amalgamate qualitative and quantitative factors to develop a valid CI-IPM.

Item Type: Article
Uncontrolled Keywords: construction industry insolvency factors; failure; financial ratios; insolvency prediction model
Index terms: financial ratio, insolvency, accuracy, efficiency, survey, profitability, qualitative factor, questionnaire, critical factor, liquidity, cash flow, strategy, management decision, owner, systematic literature review, prediction model, construction industry
Subjects: performance management, research evaluation and metrics, prediction and forecasting, liability law, industry analysis, decision-making and reasoning, economic analysis, risk assessment, professional development, financial management, management, data collection methods, sociology, data analysis and analytics
Topics: Legal Issues, Research Practice, Cost Management, Quality Management, Business Strategy, Information Management, Risk Management, Stakeholder Management
Descriptive scope: 5 PCTEA

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