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This paper investigates the joint impact of COVID-19, alliances and digital strategies on bank lending. Additionally, this study examines whether the effect of COVID-19, alliances and digital strategies on bank loans depends on the types of banks.

Using a sample of 92 commercial banks in Indonesia from March 2020 to September 2021, a fixed-effects model (FEM) was used to analyze data.

This study provides robust results regarding the negative impact of the COVID-19 pandemic on bank loans in Indonesian banking. Furthermore, it reveals that collaboration between banks and FinTech does not substantially influence bank lending, despite the rise in proven cases tending to reduce credit expansion. It emphasizes the importance of the development of mobile banking as part of digitalization in boosting loan bank expansion, and this finding is more noticeable in private and small banks.

This study highlights some policy recommendations to improve bank lending during the COVID-19 period, particularly the role of new alliances and digital strategy in involving COVID-19 pandemic mitigation within a novel financial ecosystem.

This study offers a significant contribution to the empirical literature that specifically explores the joint impact of the COVID-19 pandemic, alliances and digital strategies on bank lending in banking.

This work aims to investigate the current financial structure of Italian agri-food micro, small and medium enterprises (MSMEs) to understand how MSMEs face innovation challenges, which are also required to support sustainable development.

To reach the goal, an empirical longitudinal analysis is performed on a sample of Italian agri-food firms. In detail, to highlight the changes in the use of financial sources between 2013 and 2019, a descriptive ratio analysis is carried out on the data extracted by the AIDA database. In addition, statistical analyses were performed, including t-tests and U Mann–Whitney. Finally, a fixed-effects model is created to analyse the panel data. To ensure homogeneity, the sub-sectors of production and transformation are separately considered.

The financial structure analysis shows an increase in the equity percentage in the funding sources, attributable to an attempt to compensate for the reduction of banks' funding. However, even though this change has not compromised firms' profitability, the undercapitalisation of companies is still present. Therefore, more equity investments are required to support the innovation process.

The value of the present research is to highlight the choice of using new alternative financing sources instead of traditional banks' credit to implement sustainable and innovative development Italian agri-food sector (AFS). This choice is forced by reducing finance from banks and other financial institutions because of the credit crunch. This issue is even more relevant, considering that MSMEs have structural financial problems but have to fulfil the mission of pursuing innovation in the same way as large companies. Therefore, this paper expands the literature on agri-food, delving into an issue typical of MSMEs and combining agri-food with the need for innovation.

Micro, small and medium enterprises (MSMEs) are facing major difficulties with working capital, need of digitalisation and lack of skilled workforce during this crisis situation. Managing resilience post pandemic is again a huge challenge for MSMEs. Therefore, the main objective of the study is to identify the critical barriers for recovery of MSMEs from the pandemic outbreak and recommending potential solutions for avoiding vulnerabilities.

The most significant barriers, which will impact MSMEs resilience issues are extracted from vast literature review, discussed with nine experts from MSMEs and further categorised into organisational, operational and technical barriers. Best–worst method (BWM) has been used to find the importance rating of barriers for developing resilience in MSMEs.

It can be observed that the organisational barriers (0.507) are the most significant, followed by operational barriers (0.300) and then, technological barriers (0.192). Liquidity crunch and inadequate technical skills of employees are the most significant barriers for MSMEs resilience during COVID-19, whereas fluctuation in input cost, unavailability of containers on time and decreased process efficiency are the least significant barriers for recovering MSMEs post COVID-19.

Findings imply that MSMEs should try to overcome major barriers such as resource constraints, lack of skills and knowledge and inefficient inventory planning.

Findings of study will be of immense use for MSMEs in efficient management of operations and in developing resilience during uncertain business environment.

This paper focuses on the relationship between the regulatory capital requirements and the supply of credit for commercial banks that are operating in the MENA region from 1999 till 2017.

The application of the Fixed Effects Model on a panel of commercial banks in the MENA region has shown a negative relationship between supply of credit and both the capital requirements and solvency ratios.

The results showed that the idiosyncratic, the macroeconomic and the institutional variables affect the supply of credit behavior of banks. The robustness tests using the Two-Stage Least Square method (2SLS) also led to a negative correlation between the growth of credit and capital requirements. Specific macroeconomic and institutional variables have revealed the expected sign and are significant regardless of the estimated specifications.

This work can be subjected to further future extensions. The explanatory power of our model can be improved by incorporating variables that reflect the corporate governance and structure of banking sector. Similarly, we can also include a variable that takes into account the increasing competition that could affect the stability of the banking sector and therefore the prudential banking regulation.

Previous studies that investigated only the relationship between capital level and risk-taking behavior of banks in the MENA region did not take into account neither the economic and institutional environment nor the impact of these regulations on credit (loans) supply.

The purpose of the paper is to address money demand instability and investigate the impact of economic uncertainty, stock market uncertainty and monetary uncertainty on money demand in India over the period 2003Q1–2019Q4.

The study checks the stationarity of the variables through standard unit root tests. Based on the mixed order of variables' integration, the authors adopt the autoregressive distributed lag (ARDL) model to confirm the cointegration and check the stability of the money demand function (MDF).

The findings confirm the presence of cointegration and reveal a well-specified MDF, which exhibits stable parameters. Besides the conventional variables, all forms of uncertainties emerge as the essential long-term determinants of money demand. Long-run findings show that people demand more money to avoid the future financial crunch amid high economic, monetary and stock market uncertainties.

The paper recommends, based on the findings, incorporating the monetary aggregates in the monetary policy framework as one of the essential information variables to control the fluctuation in the price level under the current flexible inflation targeting (FIT) regime.

The findings also add to the knowledge of economic agents in terms of the overall response of individuals to changes in different forms of uncertainties, thereby helping to formulate their portfolios more diligently.

The current work is the first of its kind in the Indian context. The incorporation of uncertainty measures in the MDF adds to the existing knowledge on money demand.

The research evaluated the feasibility of 3D dynamic fit utilizing female compression tops by comparatively analyzing the virtual and actual dynamic fit.

Six female participants were 3D body-scanned and photographed in compression tops in four types of athletic movements (pull-up, kettlebell swing, circle-crunch and sit-up). Fit measurements, waist cross-sectional areas, waist width, waist depth, numerical simulation of clothing pressure (kPa) and objective pressure measurements (kPa) were collected from 3D virtual animation, 3D fit scan data and actual photos with the four types of athletic motions. The data were comparatively investigated between virtual and actual dynamic fit.

The 3D-animated body was not reflected with human body deformation because only bone structure was changed while maintaining the constant forms of muscle and body surface in athletic movements. Due to this consistency of virtual dynamic fit, there were significant differences with the actual dynamic fit at the top length, shoulder width and waist cross-sectional areas. Also, the virtual dynamic pressure indicated significantly higher levels than the objective dynamic pressure while presenting no significant correlations at the front neckline, breast, lateral waist, upper back, back armhole and back waist.

This study is the first to verify multiple aspects of virtual dynamic fit using 3D digital technology. This study provided useful information about which aspects of the current virtual animation need to be improved to apply in the dynamic fit evaluation.

This study aims to investigate the influence of macroeconomic conditions on corporate cash holdings in terms of their influence on the level of cash and the speed of adjustment of cash to target levels in the Gulf Cooperation Council countries (GCC).

The study employs both static and dynamic regression analyses considering a sample of 2,878 firm-year observations drawn from stock markets in GCC countries over the 2010–2018 period.

Consistent with the precautionary motive, the results show that GCC firms tend to accumulate cash reserves in weak economic periods. Evidence also reveals that the estimated adjustment coefficients from dynamic panel models show that GCC firms adjust more slowly toward their target cash ratio in periods of unfavorable economic conditions.

This study has important implications for managers, policymakers and regulators. For managers, the study is an important reference to understand and design cash management policies by considering financial constraints imposed by macroeconomic conditions. In particular, managers should pay more attention to periods of credit crunch and weak economic conditions in which firms may be exposed to greater bankruptcy risks. For policymakers and regulators, this study may be useful in assessing the effect of macroeconomic factors on firm's cash holding decision. Therefore, in an effort to increase the supply of external financing available to firms, policymakers may devise investment friendly environment by controlling macroeconomic factors.

This paper offers some insights on the macro determinants of cash holdings by investigating emerging economies. It explores the role of macroeconomic conditions on corporate cash holdings in terms of their influence on the costs of external funds and financial constraints.

The credit crunch of 2008 and recent COVID-19 influences underscored the importance of liquidity and credit risk management in businesses and financial institutions. The purpose of this study is to investigate the impact of liquidity risk and credit risk management on accounting and market performances of banks operating in the Middle East and North Africa (MENA) region.

This study uses a panel data regression analysis on a sample of 51 listed commercial banks operating in 10 MENA countries during the period 2010–2018.

The results show that credit risk management does not affect the accounting performance of banks, while it has a non-linear, convex relationship with market performance. Surprisingly, liquidity risk management is not a significant driver for either performance measure in studied banks. However, when a bank combines credit risk management with liquidity risk management efforts, liquidity risk management actions return significant results on both performances, illustrated by an inverted U-shaped relationship. In addition, this study examines the joint impact of both risks on bank performance. This study reveals that accounting and market performances are differently affected by joint risk management efforts. Their impact depends on the combination of risk management ratios upon which banks choose to focus their efforts.

The findings help bankers and regulators further consider non-linearities and offer them new tools for managing the impact of credit and liquidity risk interactions towards achieving more financial stability.

These results contribute to traditional banking in offering bankers and regulators new tools for managing the impact of credit and liquidity risk interactions on bank performance.