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This study examines the effect of non-audit fees (NAF) provisions on interest payments classification shifting. In addition, we investigate to what extent the NAF economic bonding and interest payments classification shifting is contingent on internal governance and firm financial well-being.

This study employed probit regression using a sample of UK non-financial firms indexed in FT UK (500) over the period from 2009 to 2017.

We find evidence that the economic bonding of NAF between external auditors and their clients is more likely to encourage managers in UK firms to manipulate operating cash flows through interest payment classification shifting. In addition, and interestingly, our results evince that classification-shifting may be the less costly and soft choice of managers in firms with strong governance and charging higher NAF. Furthermore, we show that financially distressed firms associated with their auditors in purchasing non-audit services are more prone to attempting to manipulate and engage in interest payments classification-shifting. Our result did not provide a significant effect of external auditor tenure on the interest payments classification shifting.

Our findings are subject to the following limitations: First, this study uses a composite index to measure the quality of internal corporate governance. It focuses only on the board of directors, but this index does not reflect other internal governance mechanisms. Second, this study is subject to limited study time due to the implementation of key IFRS standards (IFRS 9 Financial Instruments and IFRS 15 Revenue from Contract with Customers) from 2018–2019.

This study was motivated by the UK’s Financial Reporting Council regulators' pressure on the Big 4 audit firms to move more audit time into main auditing activities, reduce cross-selling to audit clients and separate their audit practices by 2024. Overall, we provide new evidence that directs a close spotlight on the threats of NAF that are potentially useful to regulators, shareholders and investors.

It is motivated by the UK’s Financial Reporting Council regulators' pressure on the Big 4 to move more audit firm time into main auditing activities, reduce cross-selling to audit clients and separate their audit practices by 2024. Overall, we provide new evidence that directs a close spotlight on the threats of NAS that are potentially useful to regulators, shareholders and investors.

Consumer behavior is evolving rapidly due to the increasing role of technology in daily life. Online food ordering has emerged as a key channel in this changing landscape. This paper investigates the relationships between online promotions, consumer skepticism, information sharing on social media and the intention to purchase food and beverages through online delivery services.

Measures were developed based on a review of existing literature. Data from 402 participants were analyzed using Structural Equation Modeling (SEM).

The study reveals that online promotions significantly impact consumers' sharing of restaurant posts. Additionally, consumer skepticism about online food sales affects both their sharing behavior and their intention to purchase online. Engagement in sharing restaurant posts online is a strong predictor of online food purchasing intentions.

The findings offer valuable insights for restaurant operators, policymakers and technology developers in the competitive online food delivery sector. They emphasize the importance of implementing innovative promotions and crafting appealing food presentations. These strategies can accelerate customer decision-making, attract new customers and contribute to market expansion and customer base sustainability.

This research provides significant insights for restaurant owners and contributes to the limited literature on online promotions, consumer skepticism and information sharing in the restaurant industry. It also lays the groundwork for future studies aimed at deepening understanding in this field.

This paper aims to explore FinTech’s global impact in 40 countries, including the top 20 developing and developed nations, investigates FinTech’s complicated effects in emerging and mature economies, considering bank-specific characteristics, macroeconomic variables, market rivalry and technology.

Fixed effect regression is used to examine the baseline model before adding the efficient generalized method of moments (GMM) model to resolve endogeneity-induced biases. The panel regression model requires an efficient GMM estimate and a linear panel model with non-linear moment conditions. This research also uses a sequential test for multiple breaks at unknown breakpoints, comparing F-statistics to critical values at various significance levels.

The results show that NPL is substantially affected by prior NPL, with the preceding period’s greater NPL raising it and the two periods before decreasing it. Digital lending (DL) proportionally raises NPLs. Innovation-driven emerging countries have more NPLs and faster FinTech growth due to rapid adoption beyond restrictions. Rapid FinTech advances require stronger regulation for financial inclusion and economic progress in developing countries. Additionally, DL usage has remained steady due to gradual technology adoption, while digital capital raising has consistently grown, showing resilience to market shocks.

Due to FinTech’s quick innovation and legislative changes, conclusions should be applied cautiously. There may be gaps in the study on varied settings and long-term effects.

FinTech credit expansion globally drives central banks and authorities to monitor economic conditions, advise monetary policies and resolve competitive and regulatory arbitrage concerns. Studies show digital banking’s reach into underprivileged communities helps mortgage financing. Financial firms using FinTech for credit risk management show a dedication to risk assessment and decision-making. The practical effects show that FinTech adoption, credit risk and financial inclusion have pros and cons in different economic circumstances.

As central authorities use FinTech data for policy decisions, there’s potential for enhanced financial inclusion, fostering social equity and empowerment. In economies with high financial exclusion, FinTech development becomes a catalyst for broader access to financial services. However, concerns about FinTech’s correlation with traditional banks underscore the need for robust regulatory frameworks to ensure fair competition and consumer protection. Striking a balanced approach to FinTech adoption can lead to a more inclusive financial landscape, positively impacting individuals and communities traditionally underserved by conventional banking systems.

This research stands out in its comprehensive exploration of FinTech effect to the bank credit risk, delving into economic, regulatory and societal aspects. The focus on global FinTech credit expansion uniquely highlights the interconnected roles of central banks, regulatory authorities and financial institutions, outlining potential risks and benefits. The study’s nuanced analysis of FinTech’s impact on credit risk and financial inclusion provides distinctive insights, stressing the need for balanced adoption to foster inclusive economic growth. In essence, this research brings an original perspective to the intricate interplay between FinTech and global financial dynamics.

Implementing big data analytics (BDA) for supply chain ambidexterity (agility and adaptability) and green supply chain (GRSC) presents various organizational challenges. These include leveraging BDA capabilities to balance agility and adaptability, integrating this combined approach with GRSC and aligning these efforts to enhance firm performance. This study explores the associations between BDA, supply chain agility and adaptability, GRSC and their impact on firm performance.

Incorporating a resource-based view and contingency theory, we developed a research framework and validated it with data from 355 Chinese firms. Partial least squares structural equation modeling was used to analyze the data.

The findings demonstrate that BDA capabilities had direct impact on supply chain agility and adaptability, GRSC and firm performance. Moreover, the combination of supply chain agility and adaptability affected GRSC; which in turn significantly influenced firm performance. Supply chain agility and adaptability mediated the relationship between BDA capabilities and GRSC. Additionally, GRSC mediated the relationship between BDA capabilities, supply chain agility and adaptability and firm performance.

This study offers both a theoretical and empirical examination of the relationships between BDA capabilities, supply chain agility and adaptability, GRSC and firm performance. By assessing the direct and mediating effects of these factors on China’s industrial sector, it presents new theoretical and practical insights into BDA and GRSC, thereby enhancing the value of the existing literature.