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The objective of this paper is to investigate the effect of working capital efficiency (WCE) and its components on the composite financial performance of a sample of Indian firms.

Our sample includes 796 non-financial listed firms from 2015–16 to 2021–22. Sample firms’ profitability, liquidity, solvency, cash flow management, and financial and operational leverage have been used to classify them into companies with high composite financial performance (HCFP) and with low composite financial performance (LCFP) by using K-Means Clustering technique. A composite financial performance score (CFPS) of 1 has been assigned to HCFP and 0 to LCFP. We have used logistic regression models with fixed effect to estimate the effect of cash conversion cycle (CCC) and its components, i.e. inventory days, accounts receivable days and accounts payable days on CFPS in the presence of control variables such as growth, leverage, firm size, and age.

The study finds that CCC and inventory days are inversely associated with CFPS. This finding shows that the firms’ WCE leads to superior financial performance on a composite basis.

The research findings are based on samples drawn from the population of the listed Indian non-financial companies. Since the operation, financial practices, working capital policies, and management styles of firms vary greatly among nations, the results of this study should be extended to firms in other countries after taking into account the degree of resemblance to the sample firms.

The findings of this study hold significant value for industry practitioners, as they provide guidance in determining the optimal allocation of funds for working capital and devising strategies for effectively managing inventory levels, credit sales, and vendor payments in order to increase the overall value of the company. This study aims to help investors in building their investment portfolios by identifying companies with superior composite financial performance. Investors can enhance the construction of their investment portfolios by strategically selecting companies that demonstrate superior overall performance.

The results of our study will help companies improve their WCM strategies to enhance their overall value, and their significance increases manifold during economic downturns. Business firms that perform well by efficiently managing their working capital have a multiplier effect on the economy and society at large in the form of GDP contribution, labor income, taxes to the government, investment in capital assets, and payments to suppliers.

To understand the impact of WCE on firms’ performance, the extant working capital literature focuses on some specific characteristics such as profitability, valuation, solvency, and liquidity. The limitation of employing a single parameter is its inability to present the comprehensive performance evaluation of firms. This study is among the earliest studies that focus on the holistic evaluation of WCE's impact on the composite performance of a company.

The paper aims to investigate the dynamic relationship between working capital management and firm profitability for a sample of firms from eight European Union (EU) countries for the period 2006–2015.

The panel regression model is used in the study. Firm profitability is measured using the return on assets (ROA) ratio, whilst cash conversation cycle, financial leverage, size, tangibility and cash flow ratio are used as independent variables. The novelty of this study is the use of cash flow ratio to develop the analysis firms by dividing them as healthy and nonhealthy.

The paper reveals that working capital management affects firm profitability, and a positive relationship exists between them. The paper shows differences of working capital management and firm profitability across countries. The striking result of this study is that an inverted U-shape relationship exists between working capital management and firm profitability. Whereas the findings suggest that firms should be as close as possible to the optimal length of cash cycle to increase profitability, and managers should give a priority to working capital optimization.

The authors consider results of this study relevant to both researchers and business policymakers in the field of working capital management policies.

This study examines the impact of firm-specific and macroeconomic factors on the working capital behavior of firms listed in the Middle East and North African (MENA) region.

This study is based on a panel data analysis of 687 firms listed on 11 MENA markets, carried out using the Generalized Method of Moments (GMM) approach.

The results of this study reveal that profitable firms with high levels of operating cash flows adopt a conservative working capital management. Young firms with rapid growth rates, highly leveraged firms and firms with large investments in fixed assets have higher liquidity needs, which explains their tendency to pursue aggressive working capital strategies. Similarly, large firms exercise their bargaining power over their clients and suppliers to implement an aggressive approach of working capital management. Finally, firms do not have the luxury to decide how working capital should be managed when they are subject to outside macroeconomic forces that affect their stakeholders as well.

The findings of this study can help managers adopt efficient practices and identify optimal working capital levels. Firms in the MENA region maintain excess reserves of cash, which causes under-investment and inefficient allocation of resources in the economy. Improving working capital management practices can allow firms to regain operational efficiency, enhance financial performance and support economic growth.

To the best of the authors' knowledge, this study investigates this topic in MENA emerging markets and contributes to enriching the existing corporate finance literature in emerging markets.

This study aims to assess the efficiency of managing working capital in 1,388 Indian manufacturing firms from 2008 to 2019 and investigate the effects of firm-specific and macro-level determinants on working capital management (WCM) efficiency.

The current study accommodates a slack-based measure (SBM) in data envelopment analysis (DEA) for computing WCM efficiency. Further, we implement a panel data fixed-effects model that controls for heterogeneity across firms in determining the relationships of selected variables with WCM efficiency.

The results highlight that manufacturing firms operate at around 50 percent efficiency, which is constant throughout the study period. Furthermore, among the selected variables, yield, earnings, age, size, ability to create internal resources, interest rate and gross domestic product (GDP) significantly affect WCM efficiency.

Instead of the traditional models used for assessing efficiency, the SBM-DEA model is unit-invariant and monotone for slacks, implying that it can handle zero and negative data, which overcomes the incapability of prior DEA models. Hence, this provides accurate efficiency scores for robust analysis. Additionally, this paper provides a holistic working capital model recognizing firm-specific and macro-level determinants for a more explicit estimation of the relationship between WCM efficiency and the selected determinants.

This paper examines the influence of Shariah compliance (SC) on firms' net working capital (NWC) target and adjustment speed.

The study samples of non-financial firms taken from six Gulf Cooperation countries between 2005 and 2019 and employs static and dynamic models to answer the present study research questions.

The outcomes of the study indicate that SC is one of the major determinants of the decision made by the corporation regarding their NWC. More specifically, enterprises that are compliant with restrictions within Shariah are seen to have laid targets of their NWC at a level that exceeds that of enterprises that are not compliant. Furthermore, compared to conventional firms, they seem to have higher speed when adjusting to meet set NWC targets. Submission to Islamic laws limits the choices from which an enterprise can outsource capital from existing funding instruments. Therefore, they experience a higher expected cost of bankruptcy. That being the case, such financial managers should readily maintain and adjust to higher NWC targets to meet current corporate needs, alleviate the risk of bankruptcy and lower dependency on expensive external funding options.

To the authors’ knowledge, this is the first study to explore the influence of SC on firms' NWC target and adjustment speed.

Optimal application and commitment toward financial management practices enhance organization performance. This study aims to assess the influence of financial management practices on organizational performance of small- and medium-scale enterprises.

Data were collected from 45 small-sized and 72 medium-sized firms. Data supported the hypothesized relationships. Construct reliability and validity were established through confirmatory factor analysis. The conceptual model and hypotheses were evaluated by using structural equation modeling.

The results indicate that working capital significantly influenced organizational performance. Capital budget management significantly influenced organizational performance. A non-significant influence of asset management on organizational performance was observed.

The generalizability of the findings will be constrained due to the research’s SMEs focus and cross-sectional data.

The study’s findings will serve as valuable pointers for stakeholders and decision-makers of SMEs in the development of well-articulated and proactive financial management systems to ensure competitiveness, sustainability, viability and financial competences.

The study adds to the corpus of literature by evidencing empirically that financial management practices significantly influenced SMEs’ performance.

I seek to identify whether cash flow management can affect the performance and risk of the Greek listed companies.

This study examines the relationship of cash flow management with performance and risk, using a sample of 80 non-financial companies listed in the Athens Exchange. The study covers the period 2018–2022, and panel data analysis is applied. Both financial performance and stock return are taken into consideration, while risk concerns the volatility of the companies’ share prices. The various explanatory variables used include the net cash flow, free cash flow, cash conversion cycle days, cash flow from operating activities, cash flow from investing activities, cash flow from financing activities, inventory days, customer days and supplier days.

The empirical results provide evidence of a positive relationship between financial performance and net cash flow and free cash flow. In addition, operating cash flow is positively related to financial performance. The opposite is the case for investing and financing cash flow. Finally, some evidence of a negative relationship between financial performance and inventory and customer days is provided too. On the other hand, stock return and risk are not related to the cash flow management variables at all.

To the best of my knowledge, this is one of the few studies to examine the relationship of cash flow management with performance and risk, using data from the Greek stock market. The results can form an effective selection tool for investors seeking Greek companies with the highest financial performance potential, which may reward them with higher dividends.

This study investigates the relationship between working capital investment (WCI) and firm value for Indian manufacturing firms using excess net working capital (NWC) and Tobin's Q as a measure of WCI and firm value, respectively. The study also examines whether firms use the cash released from excess investment in working capital to make long-term investments.

The sample comprises 834 Bombay Stock Exchange (BSE) listed Indian manufacturing firms whose data from April 2010 to March 2020 are analyzed using a fixed-effect panel regression analysis approach.

The empirical results show that excess NWC influences firm value negatively and significantly. However, the nature of the relationship becomes nonlinear upon dividing the sample into positive excess NWC and negative excess NWC. The findings from the study also reveal that firms redistribute cash freed from positive excess NWC for long-term investments to improve their value without impacting the corresponding risk.

Overall, the results suggest that firms with positive excess NWC can enhance their valuations by building adequate long-term investments from surplus WCI funds.

To the authors’ best knowledge, studies on this issue have primarily focused on developed economies. No study seems to have been done on this subject in the emerging South Asian economies. The present study is the first to bridge the research gap by investigating the relationship between excess WCI and firm value for manufacturing firms in India. Moreover, it examines whether a positive excess NWC reduction translates into corporate investments (CI).

The concept of working capital management (WCM) has been a fundamental financial accounting term that has evolved in financial theory for centuries. Given that the construction industry (CI) is financially dynamic, there is an imperative need to understand its WCM practices. The call for the industry players to adhere to efficient financial management practices as a result of a huge financing gap requires consented effort. This study aims to explore the trend of practices of WCM in the CI and elicit a broader polemic dialogue about this crucial theme.

The source of information for the study was secondary mainly from referenced journals and international conference papers published on WCM relating to the CI. A three-step sample selection strategy was adopted to identify the range and scope of publications on WCM in the CI based on the systematic literature review method.

The CI cannot boost of enough empirical WCM research to gain in-depth understanding of its practical trend. The developing economies are failing to produce insightful peer-reviewed papers on WCM to assist in bridging the infrastructural financing gap through apposite strategies. Gaining appropriate knowledge of the short-term financial operations through a conceptualization of WCM practices in the CI may lead to better strategies formulated for smooth operations.

This is a pioneering paper in developing economies that have taken stock of WCM knowledge of the practical trend in the CI. Future research prospects in which WCM matters can use it as a reference point.

This study investigates the mediating role of working capital management (WCM) efficiency between board diversity (based on gender and financial knowledge) and firm performance. The study further examines which WCM approach (conservative, moderate, and aggressive) they employ to increase (decrease) firm performance.

The study employs listed energy firms of Pakistan over the period 2010 to 2019. The system generalized method of moments estimator and logit model are utilized to estimate the underlying relationships.

The results show that WCM efficiency partially mediates the relationship between board financial expertise (BFE) and firm performance. Nonetheless, the presence of female directors is merely symbolic until they reach a certain level as only the quadratic term of board gender diversity (BGD) has a significant effect on firm performance. Female directors do not influence WCM efficiency. The results also demonstrate that BGD encourages a conservative WCM approach, while BFE encourages a moderate WCM approach. Furthermore, both conservative and moderate WCM approaches are significantly associated with firm performance.

The findings hold implications for increasing the representation of women and financial experts on board to improve the capital structure decisions of the energy firms in Pakistan.

This study is the first attempt to explore the mediating role of WCM efficiency between board diversity and firm performance. To the best of the authors' knowledge, no previous study has investigated the effect of BGD and BFE on different WCM approaches distinctly.