Exploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approach
Benchmarking: An International Journal
ISSN: 1463-5771
Article publication date: 20 November 2020
Issue publication date: 23 April 2021
Abstract
Purpose
This study develops an integrated approach combining data envelopment analysis (DEA) and structural equation modeling (SEM) for estimating the working capital management (WCM) efficiency and evaluating the effects of diverse exogenous variables on the WCM efficiency and firms' performance.
Design/methodology/approach
DEA is applied for deriving WCM efficiency for 212 Indian manufacturing firms over a period from 2008 to 2019. Also, the effect of human capital (HC), structural capital (SC), cost of external financing (CEF), interest coverage (IC), leverage (LEV), net fixed asset ratio (NFA), asset turnover ratio (ATR) and productivity (PRD) on the WCM efficiency and firms' performance is examined using SEM.
Findings
The average mean efficiency scores ranging from 0.623 to 0.654 highlight the firms operating at around 60% of WCM efficiency only, which is a major concern for Indian manufacturing firms. Further, IC, LEV, NFA, ATR revealed direct effect on the WCM efficiency as well as indirect effect on firms' performance, whereas CEF had only a direct effect on WCM efficiency. HC, SC and PRD had no effects on WCM efficiency and firms' performance.
Practical implications
The findings offer vital insights in guiding policy decisions for Indian manufacturing firms.
Originality/value
This study is the first to identify the endogenous nature of the relationship of HC, SC, CEF, IC altogether with firms' performance, compounded by the WCM efficiency, by applying a comprehensive methodology of DEA and SEM and provides an efficiency performance model for better decision-making.
Keywords
Citation
Seth, H., Chadha, S., Sharma, S.K. and Ruparel, N. (2021), "Exploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approach", Benchmarking: An International Journal, Vol. 28 No. 4, pp. 1120-1145. https://doi.org/10.1108/BIJ-05-2020-0251
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited