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Between 1970 and 1976 the competitive and economic environment in which retailers operated experienced a turbulence unprecedented in recent history. During this period the compression of institutional life cycles coupled with dramatic shifts in consumer life styles plagued many retailers. In addition, a web of other factors, such as steadily increasing interest rates and inflation, a heightening of inter‐type competition and the competitive entry pressure created by a large inventory of vacant retail space, made it increasingly difficult to both assess and predict the environment. These environmental conditions have intensified pressures on retailers to improve their profit performance, both to insure survival in an increasingly uncertain environment and to provide a basis for future growth. At the same time, these conditions have exacerbated the retailer's problems in trying to obtain new capital. Unable to generate sufficient capital internally to finance both market repositioning and new growth, retailers have found themselves in many instances unable to afford the costs of new debt (if indeed they had the capacity to support it). At the same time, investor uncertainty, regarding both the future and the ability of retailers to adapt to it, has reduced the flow of new equity capital into retailing to a bare trickle. In short, retailers during this period have recognised the critical need to manage capital more efficiently.

This research investigates (1) the impacts of working capital investment policy and working capital financing policy on firms’ performances (profitability and market value) and (2) the impact of profitability on market value. Data are gathered from 68 companies listed in the Stock Exchange of Thailand covering production sector. Data collected from 2012 to 2016 are analyzed using path analysis to measure the impacts of working capital policy on performances and examine the consistency of the model and the empirical data.

The model is found to be consistent with the empirical data; the probability level is 0.085, χ ²/df is 2.96, CFI is 0.951, GFI is 0.979, IFI is 0.957, and RMR is 0.004. The result reveals a statistically significant positive relationship between working capital investment policy and profitability. In addition, working capital investment policy affects market value through profitability as a mediator variable. However, there are significant negative impacts of working capital financing policy on profitability and market value. Overall, it can be implied that companies which adopt conservative working capital investment policy and conservative working capital financing policy can increase their profitability and market value.

The article analyses the “pros” and “cons” of different strategies to be adopted to manage and avoid working capital crisis situations in any organisation. The working capital position depends on many organisational parameters which are interrelated and interdependent, and also vary over time. In such a situation, the use of a system dynamics approach has been advocated to reflect the relevant dynamic cause‐and‐effect relationships for the development of appropriate long‐term and short‐term strategies.

The amount of current assets and the structure of their financing within working capital management define the level of risk, liquidity and profitability of any company. This chapter identifies the type of working capital investment and financing policies and reveals their influence on the financial performance of Czech firms.

The type of investment policy was defined, based on the structure of current assets and the working capital-to-sales ratio, followed by the share of different liabilities in assets, used to determine the financing policy. The Orbis database provided the chapter with indexes of manufacturing, agricultural, construction and trade companies for the period of 2012–2021.

The results obtained revealed the liquidity and financial independence of all selected industries. Flexible investment and conservative financing policies in agriculture were accompanied by low profitability. The decrease of the working capital-to-sales ratio and the attraction of the current debts for assets financing provided a higher return on assets in the manufacturing, agricultural and trade sectors.

Over the past 40 years major theoretical developments have occurred in the areas of longer‐term investment and financial decision making. Many of these new concepts and the related techniques are now being employed successfully in industrial practice. By contrast, far less attention has been paid to the area of short‐term finance, in particular that of working capital management. Such neglect might be acceptable were working capital considerations of relatively little importance to the firm, but effective working capital management has a crucial role to play in enhancing the profitability and growth of the firm. Indeed, experience shows that inadequate planning and control of working capital is one of the more common causes of business failure.

The article highlights potential mismeasurement in working capital allocations among academicians and practitioners and revisits the relationship between firms' working capital and productivity, as evident from their values.

The research design acknowledges the relative role of firms' working capital vis-a-vis other assets in generating revenue, thereby effectively accounting for the overall asset efficiency in influencing firm value. The authors use a multivariate framework to draw inferences from the marginal impact of working capital and its components on firm value while controlling for asset utilization.

The authors find that, after accounting for asset utilization, the marginal impact of working capital and its components on firm value is quite weak. The results are consistent with the hypothesis that firms' trade-off between short-term and long-term assets per se should not have any value implications. After controlling for their asset turnovers, the authors find that higher allocations to working capital relative to other assets are not necessarily value-destructive. The findings contrast with the past literature.

The article, through its analytical and empirical insights, suggests that working capital allocations should be measured by managers and academicians relative to firms' other asset rather than their sales. Firm values should, therefore, be compared based on firms' overall asset utilization rather than inter-temporal allocations to short-term versus long-term assets.

Contrary to the existing literature so far, the article explicitly acknowledges the relative role of firms' other assets, and hence the overall asset utilization, to infer the marginal impact of working capital on firm value.

The purpose of this paper is to empirically analyze and identify key factors affecting working capital behavior of companies listed on the Egyptian Stock Exchange.

Working capital requirement and cash conversion cycle were used to proxy working capital behavior. The study explored nine main factors widely discussed in previous research to explain working capital behavior: operating cash flow, growth opportunities, performance, firm value, age, size, leverage, economic conditions and industry type. The study employed a panel data analysis for 68 listed Egyptian industrial firms for the period 2000–2010. Different techniques of the generalized method of moments were used to test the validity of the research hypotheses.

The results show that working capital behavior is affected by various factors related to firm characteristics, economic conditions and industry type.

This study provides financial managers with a better understanding of the impact of different internal and macroeconomic factors on working capital behavior in an emerging market, such as Egypt’s.

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.

This study examines the performance effect of working capital for a large sample of Indian manufacturing firms in light of supply chain disruption, i.e. the COVID-19 pandemic.

This study is based on secondary data collected from the Prowess database on Indian manufacturing firms listed on the Bombay Stock Exchange (BSE) 500. Panel data regression analyses are used to estimate all models. Moreover, this study has employed robust standard errors to consider for heteroscedasticity concerns.

The results challenge the current notion of working capital investment and reveal that higher working capital has a positive and significant impact on firm performance. Further, it highlights that Indian manufacturing firms suffered financially post-COVID-19 as they significantly lack the working capital to run day-to-day operations.

This research contributes to the scant literature by examining the association between working capital financing and firm performance in light of the COVID-19 pandemic, representing typical developing economies like India.

The purpose of this research is to examine Micro-, small- and medium-sized enterprises (MSMEs). Which have limited access to financial resources from financial intermediaries. Thus, resource allocation is a primary concern for them.

This research studies the determinants of cash conversion cycle components and cash flow of MSMEs operating in Ecuador. This study examined a robust sample of 19,680 firms from 2000 to 2020, using the two-step generalized methods of moments to control for endogeneity and multicollinearity of independent variables issues.

The sample was divided into working capital intensive and fixed capital intensive firms. It was found that in every segment (micro-, small- and medium-sized), the majority of firms are working capital intensive and their average return is higher. This implies that small business owners assign the majority of their resources to current assets, which thus far have enabled them to achieve higher profitability.

Research investigated Ecuadorian MSMEs in a dollarized developing environment. Scrutinizing working capital intensive vs fixed capital intensive.