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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.

The growth of lending from nontraditional lenders may pose challenges for official US Department of Agriculture (USDA) farm sector debt estimates, but it is difficult to find data to assess official estimates. The purpose of this study is to examine whether debt provided by nontraditional lenders is accurately accounted for in official estimates.

We compare traditional and nontraditional lending data from farm equipment lien collateral values and the USDA Agricultural Resource Management Survey (ARMS). After analyzing trends in equipment lending implied by farm equipment lien data and ARMS, we estimate whether changes in farm equipment lien values predict changes in equipment debt reported in ARMS and whether lender type influences that relationship.

We find that credit provided by nontraditional lenders is likely underreported in ARMS. Our econometric model shows that equipment debt volumes for nontraditional lenders are consistently lower than traditional loan volumes in ARMS across a variety of model specifications. We also find that an increase in lien values for nontraditional lenders is less likely to predict an increase in ARMS equipment debt volumes than an increase for traditional lenders.

Official farm sector debt estimates may not fully account for nontraditional lenders.

This study demonstrates how the growth of nontraditional lending poses challenges for estimating US farm sector debt. We evaluate farm sector debt estimates and advance knowledge of the role of nontraditional lenders in farm equipment credit provision. The farm equipment lien dataset provides a rich source of novel data for research on local and national equipment debt and investment.

This paper aims to examine the impact of traditional banks’ financial technology (FinTech) adoption on corporate loan spreads and lending practices.

This study examines the impact of FinTech adoption by banks on corporate loan spreads and lending practices. By analyzing data from bank 10-K filings, we develop a novel metric to assess FinTech adoption at the individual bank level. Our analysis reveals a significant positive correlation between increased FinTech adoption and higher corporate loan spreads, particularly for loans that are relatively informationally opaque. This causality is further validated through a quasi-natural experiment. Additionally, we identify trends toward loans with smaller sizes and longer maturities in banks with advanced FinTech integration.

Using a sample of corporate loans issued from 1993 to 2020, this paper documents a significant positive relationship between a bank’s increased FinTech adoption and higher loan spreads. This correlation is especially noticeable for loans that are informationally opaque. Moreover, the paper reveals trends toward smaller loan sizes and longer maturities with advanced FinTech integration in banks. Overall, these findings indicate FinTech enhances efficiency in processing hard information and holds the potential to enhance financial inclusion.

This paper contributes to two significant strands of finance literature. First, it highlights how banks with advanced FinTech integration gain advantages through enhanced processing of hard information. Furthermore, it underscores the role of FinTech in promoting financial inclusion, particularly for those borrowers facing informational opacity.

As many businesses faced economic disruption due to the Covid-19 pandemic and sought financial relief, existing bank relationships became critical to getting a loan. This study examines factors associated with the development of personal relationships of rural small businesses with community bank representatives.

We applied a mixed-method approach. We employed descriptive statistics, principal factor analysis and logistic regression for data analysis. We distributed an online survey to rural small businesses in five states in the United States. Key informant interviews with community bank representatives supplemented the survey results.

A business owner’s trust in a banker was positively associated with the establishment of a business–bank relationship. However, an analysis of individual trust’s components revealed that the nature of trust is complex, and a failure of one or more components may lead to decreased trustworthiness in a banker. Small businesses that preferred personal communication with a bank were more inclined to relationship banking.

Due to the relatively small sample size and cross-sectional data, our results may not be conclusive but should be viewed as preliminary and as suggestions for future research. Bankers should be aware of the importance of trust for small business owners and of the actions that lead to increased trustworthiness.

The study extends the existing knowledge on the business–bank relationship by focusing mainly on social (instead of economic) factors associated with the establishment of the business–bank relationship in times of crisis and high uncertainty.

This study examines why low-wealth women entrepreneurs forgo mobile enabled money services and government supported micro finance for informal, community-based revolving loans in rural Nigeria.

Thematic analysis of 25 interviews with women in rural, south-west Nigeria. Entrepreneurial ecosystem theory, in the gendered context of micro finance and community-based lending, is employed.

This study explains the paradox of forgoing seemingly accessible mobile enabled credit, and formal credit schemes (e.g. micro-finance programs) for informal, one-on-one borrowing. Convenience and trust-based relationships with respected community members ease the burden of time scarcity and vulnerability associated with formal capital. Flexible terms, autonomy, self-reliance and knowing who one is dealing with make Esusu a preferred source of finance. Findings are discussed in the context of gendered entrepreneurial ecosystems in which participants conduct business.

The sample is not representative of women entrepreneurs in rural Nigeria. Survivorship bias is acknowledged. Further research is needed on the psychological risks of informal capital and the benefits of community-based lending.

Measures to scale mobile enabled credit, without commensurate interventions to address time management and other structural issues that confront women traders, limit their utility and impacts. Power differentials between women traders and lenders must also be considered in the design of lending products. Training of women traders and formal lenders should incorporate curricula about gender gaps in capital markets and systematic gender challenges to support entrepreneurs who seek to grow beyond subsistence enterprises.

This study documents decision criteria that motivate informal rural women traders to employ community-based revolving credit or Esusu. Findings inform measures to increase women entrepreneurs' access to capital in a rural sub-Saharan Africa contexts.

This study aims to investigate the role of bank ownership (foreign versus domestic) and the type of service (Islamic versus conventional) on bank lending to large enterprises and small and medium enterprises (SMEs).

Based on previous literature, the study proposes that foreign banks lend more to large enterprises and less to SMEs than domestic banks do. It also proposes that Islamic banks lend more to SMEs than conventional banks do. It utilizes unique hand-collected data of Jordanian banks from 2007 to 2018 to carry out its investigation. It applies regression estimation methods and propensity score matching to test its hypotheses.

Consistent with prior empirical evidence, the findings show that foreign banks lend significantly less (more) to SMEs (large enterprises) than their domestic counterparts. However, the findings indicate that Islamic banks lend significantly less to SMEs than their conventional counterparts. Further analysis shows that Islamic banks operating in Jordan are ultimately owned by foreign investors hence their incentives to adopt full features of Islamic financial instruments are confounded by their incentives to utilize transaction lending technologies which in turn attenuates the expected positive impact of Islamic banking services on SMEs finance.

This research provides novel evidence on the impact of Islamic banks on SMEs finance as the results suggest that the success of Islamic finance in bridging the gap of SMEs finance is conditional on embracing its full features.

Islamic financial technology (fintech), primarily peer-to-peer (P2P) lending, plays a substantial role in funding the unbanked population and small and medium enterprises (SMEs) by offering streamlined financial services through online digital technology. In addition, Islamic fintech lending offers a promising return rate for individual and institutional investors, and therefore, it is considered a worthy investment alternative for diversification. This study aims to examine the determinants of project returns of SMEs on Islamic fintech lending platforms, taking the case study of one Islamic fintech lending platform registered at the Financial Service Authority in Indonesia.

Project return information and other information, such as the name of the SME raising fund, project duration, location, contract (aqad) and value (amount of money) to be raised, were extracted from the Islamic fintech lending platform. Furthermore, a regression analysis was performed using the completed projects as sample data (n = 122) on the platform.

The results show that the rate of return is significantly affected by project duration and type of Sharia-compliant contract. Location and project value are, however, found to be statistically insignificant. This study’s overall results align with the Signaling theory, indicating the importance of information for decision-making.

Due to limited access to the data, our study uses data from one of seven Islamic fintech lending platforms; thus, the study results may not be generalized to the general population.

The results suggest that investors aspiring to invest their funds in SME projects on Islamic fintech lending platforms should consider the project duration and contractual agreement since these factors significantly influence the return. Additionally, society may consider the Islamic fintech lending platform a viable investment instrument since its return rate follows the risk-return principle in classical and established finance theories. That is why Islamic fintech lending platforms are competitive compared to the more established ones, such as the Islamic stock market.

To the best of the authors’ knowledge, this study is the first study using an empirical approach to reveal the project return determinants of SMEs on Islamic fintech lending platform.

The purpose of this study is to provide empirical evidence on a possible economic explanation for changes in borrowing costs of US private firms that are going public.

Using an OLS regression with firm fixed effects and the IPO as an information releasing event that alters information asymmetries between borrowers and lenders and relying on several proxies for pre-IPO information asymmetries, I analyze the impact of the IPO on changes in borrowing costs from before to right after an IPO of firms with high pre-IPO information asymmetries.

My findings indicate that small firms, firms with high R&D, firms with negative EBITDA and firms with a single lending relationship benefit more from going public by realizing larger decreases in borrowing costs after an IPO than firms with lower pre-IPO information asymmetries. The results are consistent with changing information asymmetries caused by the IPO event playing a role in changes in borrowing costs after the IPO. Furthermore, I provide empirical evidence that a reduction in the lender’s bargaining power due to the IPO event plays an important role in explaining changes in borrowing costs around that time.

This study uses a hand-collected data set of loans obtained from financial statements issued by US firms at the time of their IPO. As a result, I am able to comprehensively document changes of borrowing costs of US private firms going public and shed light on one of the economic forces behind those changes.

The aim of this paper is to determine whether the efficiency of banks’ human capital (HC) has moderating effects on the relationship between asset diversification and bank performance over the 2008–2020 period.

Our study considers generalized least squares estimation in fixed effects panel.

Results show that banks with higher levels of HC and higher degree of diversification reduce bank profitability and efficiency. The results also depict that the financial stability-reducing effects of Income diversification decrease as bank HC efficiency increases. At the same time, the effects of income and asset diversity on financial stability change depending on the performance aspect.

Previous research on banks’ performance is concentrated on asset diversification. This article broadens to the HC, Asset diversification and the moderating effects of the profitability, stability and efficiency of French Banks.

How do informal lending institutions affect entrepreneurship? This paper aims to investigates the role of formal and informal credit market institutions in the decision to become an entrepreneur over the life cycle.

The author developed a dynamic Roy model in which a decision to become an entrepreneur depends on the access to formal and informal credit markets, nonpecuniary benefits of entrepreneurship, career-specific entry costs, prior work experience, education, unobserved abilities and other labor market opportunities (salaried employment and nonemployment). Using detailed Russian panel microdata (the Russia longitudinal monitoring survey) and estimating a structural model of labor market decisions and borrowing options, the author assesses the impact of the development of informal and formal credit institutions.

The expansion of traditional (formal) credit market institutions positively impacts all workers’ categories, reduces the share of entrepreneurs who borrow from informal sources and incentivizes low-type entrepreneurs to switch to salaried employment. The development of the informal credit market reduces the percentage of high-type entrepreneurs who borrow from formal sources. In the case of default, a higher value of the social network or higher costs of losing social ties demotivate low-type entrepreneurs to borrow from informal sources. The author highlights the practical implications of estimates by evaluating policies designed to promote entrepreneurship, such as subsidies and accessibility regulations in credit market institutions.

This study contributes to the literature in several ways. Unlike other studies that focus on individual characteristics in the selection for self-employment [Humphries (2017), Hincapíe (2020), Gendron-Carrier (2021), Dillon and Stanton (2017)], the paper models labor and borrowing decisions jointly. Previous studies discuss transitions between salaried employment and self-employment, taking into account entrepreneurial earnings, wealth, education and age, but do not consider the availability of financial institutions as a driving factor for the selection into self-employment. To the best of the author’s knowledge, this paper shows for the first time that the transition from salaried employment to self-employment is standard and consistent with changes in access to financial institutions. Another feature of this study is incorporating both types of credit markets – formal and informal. The survey by the European Central Bank on the Access to Finance of Enterprises (2018) shows 18% of small and medium enterprise in EU pointed funds from family or friends. Therefore, the exclusion from consideration of informal credit markets may distort the understanding of the role of the accessibility of credit markets.