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Exploring predictors of working capital management efficiency and their influence on firm performance: an integrated DEA-SEM approach

Himanshu Seth (Department of Management, Birla Institute of Technology and Science, Pilani, India)
Saurabh Chadha (Department of Management, Birla Institute of Technology and Science, Pilani, India)
Satyendra Kumar Sharma (Department of Management, Birla Institute of Technology and Science, Pilani, India)
Namita Ruparel (Department of Humanities and Social Sciences, Birla Institute of Technology and Science, Pilani, India)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 20 November 2020

Issue publication date: 23 April 2021

703

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

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