Explore publications.

This paper searches the impact of trade credit on firms’ performance in 15 sub-Saharan African (SSA) countries. In particular, we also examine whether trade credit can advance in an environment of higher financial inclusion rate. We achieve this by using a fixed effect estimation model and solving endogeneity by GMM and IV-2SLS methods by utilizing firm level data from the Bloomberg terminal from 2010 to 2023. Baseline results summarize that firm performance grows with the level of trade credit finance. We find a firm’s industry and SSA blocs heterogeneity the trade credit-firm performance nexus. Additionally, financial inclusion alone is positive and when interacted with trade credit it becomes significant. The major implication among others is that trade credit facilitates more firm performance in a situation of higher financial inclusion level.

The coal industry in Indonesia is a capital-intensive sector characterized by long operating cycles and high dependence on global commodity price fluctuations. These conditions create substantial liquidity needs, making efficient working capital management crucial. This study aims to examine the effect of Supply Chain Finance (SCF) on firm performance in Indonesia’s coal production sub-industry. SCF in this study is measured using the Cash Conversion Cycle (CCC) and its components, Days Sales Outstanding (DSO), Days Inventory Outstanding (DIO), and Days Payable Outstanding (DPO). Firm performance is proxied by Return on Assets (ROA), while the control variables include firm size (SIZE), leverage (LEV), and sales growth (SALEG). The main hypothesis proposes that SCF has a positive effect on firm performance. This research employs secondary data from 19 coal production companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2024 period. The analysis is conducted using panel data regression with the Random Effect Model (REM) approach, estimated through the Generalized Least Square (XTGLS) method.The results show that SCF has no significant effect on firm performance, while leverage (LEV) and sales growth (SALEG) have a negative and significant effect. The coefficient of determination (R²) of 27.06% indicates that the model explains 27.06% of the variation in firm performance. These findings suggest that SCF efficiency in the coal industry does not directly enhance profitability, likely due to the long cash conversion cycle and high capital requirements inherent in this sector.

This paper aims to analyse the challenges and outcomes of “selling-to-finish” by small and medium enterprises (SMEs) in South Africa. “Selling-to-finish” is a global problem that threatens SMEs everywhere. It entails an unconventional business strategy that deviates from the main goal of most businesses, which is to make profit. In South Africa, “selling-to-finish” in SMEs has a detrimental effect on the country’s economic development, growth, and efforts to combat poverty. The misunderstanding of “selling-to-finish” hinders the growth of SMEs. This is because SME owenrs mistakenly believe that having more clients who buy products and service equates to selling for a profit without doing the necessary calculations. “Selling-to-finish” puts at risk not only the expansion and advancement of SMEs but also the achievement of Sustainable Development Goal (SDG) 1, which is to eradicate poverty and National Development Plan (NDP) vision 2030, which is to build a good economy and provides employment to all citizens. This chapter employed a desktop-based qualitative research. The paper argues that improper application of selling-to-finish causes major downfall of SMEs in South Africa. It found that the achievement of economic growth, development, and poverty reduction is seriously jeopardized by “selling-to-finish” in SMEs. As a result of “selling-to-finish”, SMEs face difficulties such as financial unsustainability, cash flow problems, decreased investment capacity, and competitive disadvantage. It recommends that SME owners should prepare well-informed monthly, quarterly, or annual cash flow statements. It goes on to advise SMEs to contract with outside firms to ensure that their cash flow figures are accurately prepared.

As the 3D printing industry continues to gain momentum in South Africa's SME sector, issues about their financing and financial management need to be investigated. This is due to the capital-intensive nature of the business as well as the financing challenges encountered by 3D printing SMMEs. This study aimed to contribute to research on financial management practices and sources of finance as predictors of performance for 3D printing small and medium enterprises (SMMEs) in terms of profitability and increase in client base. The study adopted the interpretivist research paradigm, exploratory research design, inductive research approach and qualitative research method to achieve the objectives of the study. A total of twenty (20) 3D printing firms participated in the study. Employees and managers were purposefully selected to participate in the study. The participants comprised finance managers, senior managers and managers of the twenty (20) 3D printing firms that participated in the study. Structured interviews served as the instrument for data collection based on the objectives of the study. Data gathered from interviews were transcribed and analysed using thematic analysis. The study revealed that effective working capital management practices boost the profitability of 3D printing SMMEs, particularly through adopting no-credit policies and hiring competent finance officers. These practices also help expand the client base by ensuring timely delivery of products and services, with customer relationship management being a strategic approach. The study also revealed that liquidity management practices significantly boost the profitability of 3D printing firms by ensuring sufficient cash flow to meet financial obligations, managing financial risks, and ensuring timely product delivery, thereby enhancing customer satisfaction and contributing to growth in the customer base. The study recommends the need for 3D printing SMMEs to prioritise cash flow management and develop robust systems to monitor and control working capital components, including inventory, receivables, and payables.  

Given the critical role of financial characteristics in determining Micro and Small Enterprises (MSEs’) access to debt finance, it is essential to understand how these characteristics influence lending decisions, particularly from a developing market context. This study aims to examine the key financial characteristics that significantly influence MSEs’ ability to access debt finance. Using systematic sampling technique, we collect data from 171 Ghanaian MSEs that are registered with Ghana Enterprise Agency. The data was analyzed using SPSS linear regression version 24. The result shows financial management experience and profitability as the significant financial characteristics that influence MSEs ability to access debt finance. The result further shows that equity structure and financial statement have negative significant influence on MSEs ability to access debt finance. Asset tangibility, liquidity, debt service coverage ratio, and working capital has no significant influence on MSEs’ access to debt financing.

Collapse of companies in Kenya has been on the rise in the recent past. Far reaching endeavors to resuscitate these liquidating and ailing firms have generally been attributed on their corporate financial management decisions.  Multinationals and KTDA managed tea firms in Kenya have been performing poorly in the recent past where audited financial statements and reports revealed a warning signal on its financial performance. Specific objectives of the study were to determine the effect of the accounts receivables period, accounts payables period, inventory conversion period, cash conversion cycle, financing policy, investing policy and moderating effect of ownership structure on financial performance. The study illustrated that accounts receivables collection period is negatively related to return on assets (? = -0.1299, p=0.0160),  accounts payables payment period is negatively related to return on assets (? = -0.0843, p = 0.0070), inventory conversion period is negatively related to return on assets (?= -0.0623, p=0.0180), cash conversion cycle is negatively related to return on assets (? = -0.1107, p = 0.0030), financing policy is positively related to return on assets (? = 0.1589, p = 0.0000), investing policy is positively related to return on assets (? = 0.0291, p = 0.0000).

The study investigated the whether the default measures of liquidity and solvency are associated and whether default measures are related to firm profitability. A total of 41 firms were selected to be in the study sample out of 46 non-financial listed firms in the Nairobi Securities Exchange during years 2013 to 2017 and panel data regression analysis was employed. The findings revealed that liquidity and solvency are significantly and negatively associated while the default measures lacked a significant relationship with profitability in Kenyan listed companies. The findings implied that there is no need for firms to focus too much on the relationship between default and profitability including invest heavily in liquidity in order to meet short term obligations as nowadays it is possible for firms to either convert non-cash assets quickly or borrow on short notice from financial institutions in case of an urgent need to meet liquidity shortages. These findings are consistent with the shitability theory.

This paper studied how Zoomlion Company Limited manages its accounts receivables. Based on multiple linear regression analysis, Kendall coefficient of concordance and One sample t-test, the result shows effective credit control systems by the company. However, poor monitoring and lack of effective follow up measures were the key challenges to debt management. The paper recommend stricter adherence to the credit policy and vigorously pursued effective recovery strategies and further prescribed best practices in accounts receivables management.