Economic value added: a useful tool for SME performance management

Moujib Bahri · Josée St‐Pierre · Ouafa Sakka

66 citations0/0 files storedInternational Journal of Productivity and Performance Management

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Financial Reporting and Valuation Research Accounting and Organizational Management Value Engineering and Management

Abstract

Purpose The aim of this study is to propose a performance measurement and management system (PMMS) for small‐ and medium‐sized enterprises (SMEs), based on an analysis of the connections between these firms' business practices and performance measured by economic value added (EVA). Design/methodology/approach Secondary data from the PDG® database was used on a sample of 108 Canadian manufacturing SMEs over two consecutive years. The primary statistical method used was regression analysis to investigate the influence of diverse business practices on EVA in these firms. Findings This paper shows that EVA can be a useful tool for performance management in SMEs, when used in conjunction with a list of business practices that affect the firm's results. The findings indicate that some business practices have a direct impact on EVA within one year, while others have a deferred influence. The impacts of other practices on EVA were found to be weak or insignificant, an aspect that requires further investigation. Research limitations/implications The main limitation of this study is the lack of generalizability of the findings. However, the sampled SMEs vary widely in terms of their characteristics, which may mitigate the negative impacts of a non‐probabilistic sample. Practical implications This study offers a structured methodology to identify the paths leading to better performance in SMEs, through an improved understanding of their business practices' impacts on EVA. Originality/value To the best of the authors' knowledge, this is the first study that explores the linkage between SME business practices and EVA. When applied in conjunction with a set of business practices, EVA can help managers detect problems and identify sources of improvement.

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References

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