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In this article, the research objective is to empirically investigate the effect of the adoption of the Brazilian instant payment system, Pix, on the local credit market structure and the diversification of the banking system in Brazilian municipalities.

By analyzing the data, in this study, we compile and align data from supervisory and public sources, covering the period from 2019 to 2022 in Brazil. As of 2014, Brazil was comprised of 5568 municipalities distributed across five regions: North (450 municipalities), Northeast (1792), Midwest (467), Southeast (1668) and South (1191), according to the Brazilian Institute of Geography and Statistics (IBGE). Our analysis relies on the volume and quantity of Pix to the outstanding credit operations in Brazil.

This article provides evidence that the widespread adoption of Pix has impacted the financial structure of municipalities. This analysis of banking concentration in the country and municipalities, based on banking relationships, helped us assess whether the adoption of Pix had any correlation with the increase in credit lines. Overall, the results from the statistical tables suggest that the adoption of Pix may be having a positive impact on the local credit market structure.

The originality contribution of the study is to initiate an investigation into the impact of this instant payment system, Pix, on the Brazilian reality. Pix was launched in 2020, amid the COVID-19 pandemic, and had significant numbers, such as over 61% of the adult population having at least one Pix key registered in a little over a year; about 100 million people made at least one payment with Pix; and more than 1.4 billion transactions per month, with 72% between individuals, as presented by the REB 2021.

This study aims to present an innovative predictive methodology that transitions from traditional efficiency assessment techniques to a forward-looking strategy for evaluating working capital management(WCM) and its determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN).

A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009 to March 2024. Subsequently, a fixed-effects model was used to determine the relationships between selected determinants and WCME. Moreover, the multi-layer perceptron method was applied to calculate the artificial neural network (ANN). Finally, sensitivity analysis was conducted to determine the relative significance of key predictors on WCME.

Manufacturing firms consistently operate at around 50% WCME throughout the study period. Furthermore, among the selected variables, ability to create internal resources, leverage, growth, total fixed assets and productivity are relatively significant vital predictors influencing WCME.

The integration of SBM-DEA and ANN represents the primary contribution of this research, introducing a novel approach to efficiency assessment. Unlike traditional models, the SBM-DEA model offers unit invariance and monotonicity for slacks, allowing it to handle zero and negative data, which overcomes the limitations of previous DEA models. This innovation leads to more accurate efficiency scores, enabling robust analysis. Furthermore, applying neural networks provides predictive insights by identifying critical predictors for WCME, equipping firms to address WCM challenges proactively.

Innovation in financing processes, enabled by the advent of new technologies, has supported the development of alternative finance funding tools. In this context, the study analyses the growing importance of alternative finance instruments (such as equity crowdfunding, peer-to-peer (P2P) lending, venture capital, and others) in addressing the small and medioum enterprises' (SMEs) financing needs beyond traditional bank and market-based funding channels. By providing more flexible terms and faster approval times, these instruments are gradually reshaping the traditional bank-firm relationship.

To comprehensively understand this innovation shift in funding processes, the study employs a novel approach that merges three MCDA methods: Spherical Fuzzy Entropy, ARAS and TOPSIS. These methodologies allow for handling ambiguity and subjectivity in financial decision-making processes, examining the effects of multiple criteria, including interest rate, flexibility, accessibility, support, riskiness, and approval time, on the appeal of various financial alternatives.

The study’s results have significant theoretical and practical implications, supporting SMEs in carefully evaluate financing alternatives and enables banks to better identify the main “competitors” according to the “financial need” of the firm. Moreover, the rise of alternative finance, notably P2P lending, indicates a shift towards more efficient capital access, suggesting banks must innovate their funding channels to remain competitive, especially in offering flexible solutions for restructuring and high-risk scenarios.

The study advises top management that SMEs prefer traditional loans for their reliability and accessibility, necessitating banks to enhance transparency, innovate, and adopt digital solutions to meet evolving financing needs and improve customer satisfaction.

The study introduces a novel integration of Spherical Fuzzy TOPSIS, Entropy, and ARAS methodologies to face the complexities of financial decision-making for SME financing, addressing ambiguity and multiple criteria like interest rates, flexibility, and riskiness. It emphasizes the importance of traditional loans, the rising significance of alternative financing such as P2P lending, and the necessity for banks to innovate, thereby enriching the literature on bank-firm relationships and SME funding strategies.

Marketplace lending has substantially changed since the first peer-to-peer lending platforms emerged in 2006. The industry is now an alternative to bank lending, predicted to total $70 billion for consumer and business loans worldwide by 2030. Marketplace lending is often deemed less safe than bank loans, mainly due to these portfolios' high degree of hidden information. These include needing more information on borrowers and potential correlations between them, which might lead to higher risk than is apparent at first glance. Deterministic processes cannot capture tail risk appropriately, so platforms and lenders should employ stochastic processes. This chapter introduces a Monte Carlo simulation and machine learning (ML) process to evaluate and monitor portfolios. For marketplace lending to become a viable and sustainable alternative to bank lending platforms, they must better evaluate, monitor, and manage tail risk in marketplace loans and develop tools to monitor and manage financial risk losses.

This chapter reviews digital payment infrastructures at the retail, wholesale and cross-border levels, available operating and governance models and trade-offs. Various developments in the field of digital payments, key challenges and the role of the central banks in helping to address those challenges are introduced. This chapter starts by examining issues in retail payments, before moving on the wholesale and large-value payments, real-time gross settlement (RTGS) which is the core settlement of payment systems before examining cross-border payments. This chapter ends with an overview of the role of central banks in promoting digital payment infrastructures.

As this article reports, in recent years most legislative activities focused on start-ups, with as many as 12 European Union (EU) Member States having introduced tax incentives for employee share ownership (ESO) in this type of small and middle-sized enterprise (SME). But incentivising ESO in SMEs should be extended to all SMEs, the engine of the European economy, including those from the social economy, having shown their crucial function for the resilience of our societies during the COVID-19 pandemic.

Against the background of this recent and very dynamic development this article, it provides an overview of the start-up business segment in comparison to other types of companies, particularly focusing on differences with the SME sector; examines the legal regulations that hinder a broader adoption of ESO in European start-ups; presents best-practice examples to demonstrate the favourable conditions already established in some EU Member States and discussed whether these reforms and best practice examples could be extended and – as is already the case in some countries – applied to the whole SME population including social economy enterprises.

Since the European Commission launched the 2011 Social Business Initiative (SBI) followed by the 2016 Start-up and Scale-up initiative, many actions to support social enterprises in view of their potential to address societal challenges and contribute to sustainable economic growth have followed. Most recently, the 2021 Social Economy Action Plan of the European Commission gave important impulses. The potential of employee buyouts offering a continuation perspective to SMEs owners looking for successors was highlighted in the 2022 EC report “Transition Pathway for Proximity and Social Economy,” calling for the implementation of Employee Stock Ownership Plans (ESOPs).

The situation of employee share ownership in start-ups has some parallels with that in traditional SMEs, but in many respects, they differ fundamentally. Although, on the other hand, social enterprises may also have to compete with large firms for qualified staff and face challenges when growing or scaling their activities, the reason why ESO in this enterprise segment is not widespread in the EU is altogether different. In the absence of a prescribed legal form of incorporation, social enterprises operate in various forms (be it for profit or non-profit), e.g. cooperatives, closely held limited liability companies, mutuals, associations, voluntary organisations or foundations. Therefore, this article looks into the extension of the incentives for ESO to social enterprises inasmuch as they are organised in legal forms allowing for share ownership, above all in the form of limited liability companies.

“The latest available cross-country data presented in the PEPPER V Report (Lowitzsch and Hashi, 2024) can be viewed by examining EFP in and of itself as an isolated subject or it can be viewed in a much wider set of contexts. Widening the lens in order to examine EFP in the context of the concentration of capital ownership and the concentration of capital income can help observers establish EFP’s span of relevance. In particular US data on capital income show that policy makers need to be aware that EFP can have an important role in narrowing the income and wealth gap for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low.”

“Against this background, this article makes a very straightforward observation that the relevance of EFP in an economic system, in a country, and for the average employee in a country is related to the trend in the concentration of capital ownership and capital income. Interest in the idea is potentially increased or decreased by trends in real wages. Atkinson, who many consider the founder of modern wealth concentration scholarship, “focuses on the increasing share of capital incomes a source of income inequality among individuals” (Cirillo et al., 2017, p. 1). Indeed, we consider the difference between labour’s share and capital’s share to be a critically important fundamental problem of political economy. This essay asserts that when this concentration is high and real wages are flat, other things being equal, EFP may be more relevant. When the concentration of capital ownership and capital income is high, this means that ownership and income on that ownership is thinly spread in the population. When real wages are flat, this means that the rate at which fixed wages can replenish wealth is decreasing. As a result, both trends would make EFP more relevant.”

The conceptual model suggested for this article asserts that the relevance of EFP can be viewed as a function of narrowing income and wealth options for the working middle class when the concentration of capital ownership and capital income is high and when real wage growth is low. Does this relevance change across economic systems? There is no question that the future understanding of these issues requires adding metrics to the statistical methodologies of different regions and countries and adding to existing reports and analyses that focus on both the dynamics of and trends in capital income (property income in the EU) and on the EUR and USD value of EFP at the mean and at the median for different income levels of the population

This article presents – for the first time – a society-wide measure of the impact of EFP on one economy, namely, the US For further research, it makes sense to build on the comparable data available on the distribution of capital ownership and have similar research on the distribution of capital income for both the EU and the US along with measures of the EUR and USD values of EFP.

The main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.

This research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.

The introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.

This paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

This study examines the relationship between Environmental, Social and Governance (ESG) practices and financial distress in times of uncertainty.

Thomson Reuters ESG database, Compustat and Center for Research in Security Prices (CRSP) were used to derive a final sample size of 1,572 firms and 11,618 firm-year observations from 2003 to 2022. Fixed-effects regression was used to analyze the data.

It was found that increasing ESG involvement leads to an increase in Z score (i.e. lower financial distress), and this impact was more profound during the COVID-19 period and also when firms' innovativeness increased. However, during the COVID-19 period, increases in capital expenditures weaken the positive effect of ESG on financial distress.

This study contributes to the growing body of literature on the impact of ESG performance on financial distress and the nature of this relationship during times of uncertainty such as COVID-19.

This study offers insights to managers and practitioners when developing their corporate financial strategies, particularly financial distress management, showing the potential benefits of innovativeness and capital intensity during turbulent times similar to COVID-19.

Little knowledge exists on how ESG engagement helps weather financial distress during periods of uncertainty due to external shocks (e.g. COVID-19). This paper looks at the effect of ESG engagement on financial distress and how capital intensity and innovativeness could influence this relationship while giving fresh insights into the impact of COVID-19.