Journal of Financial Reporting and Accounting最新文献

Purpose

This study aims to examine the adoption of fintech products in Jordanian commercial banks, focusing on the influence of environmental regulations. Specifically, the study investigates the impact of environmental pressures (competitors pressure, customer pressure) and top management support on the adoption of fintech products.

Design/methodology/approach

A questionnaire survey was conducted, and data from 550 respondents familiar with the bank’s operations, once you have responses, use structure equation modeling to understand the relationships between variables. Also, applied the regression model to predict outcomes for new respondents. Ensure ethical considerations, like informed consent, are addressed throughout the process.

Findings

The results reveal that competitors pressure and customer pressure have a significant positive influence on the adoption of fintech products, indicating that banks are more likely to adopt fintech solutions when faced with increasing competition and customer demands. Furthermore, top management support was found to be positively associated with the adoption of fintech products, emphasizing the importance of leadership in driving successful integration. Also, regulators and policymakers can foster FinTech adoption in the banking sector by creating supportive frameworks that balance innovation and risk. The findings highlight the need for Jordanian commercial banks to recognize and respond to environmental pressures to remain competitive and meet customer expectations. Additionally, regulations might encourage the development of financial products and services within the fintech sector. This study enriches fintech adoption literature in the context of Jordanian commercial banks.

Originality/value

This study contributes to the existing literature by shedding light on the factors influencing fintech adoption in Jordanian commercial banks and provides practical implications for banks, regulators and policymakers seeking to promote fintech adoption within the financial sector.

Purpose

This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time.

Design/methodology/approach

This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis.

Findings

This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years.

Originality/value

To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

Purpose

This paper aims to examine the relationship between corporate COVID-19 disclosure (COVID_DISC) and stock price volatility (SPV) in Egypt.

Design/methodology/approach

The authors used the manual content analysis method to measure corporate COVID-19 disclosure in the narrative sections of annual reports. The authors use ordinary least squares (OLS) regression to examine the impact of corporate COVID-19 disclosure on stock price volatility using unique data from Egyptian-listed firms during COVID-19 pandemic over the period of 2020 to 2022. Propensity score matching method was adopted to mitigate the potential endogeneity issue.

Findings

This study reveals that corporate COVID-19 disclosure has a significant negative impact on stock price volatility, suggesting COVID-19 disclosure reduces stock price volatility. In addition, the results confirm that COVID-19 disclosure offers value relevant information to investors, which is consistent with the Egyptian Financial Supervisory Authority’s (EFSA) motivation in calling for more information on COVID-19 pandemic.

Practical implications

The findings of this study can help corporate managers and EFSA in enhancing corporate disclosure and transparency during future financial crises. Moreover, the findings offer valuable insights to investors, helping them gain a better understanding of the business environment during COVID-19 crisis.

Originality/value

To the best of the authors’ knowledge, this is the first Egyptian empirical evidence that examines the relationship between corporate COVID-19 disclosure and stock price volatility.

Purpose

This study aims to investigate the reality of relationship banking (RB) in the small and medium enterprise (SME) context, specifically how banks organize activities, define SMEs and manage the SME–banking relationship.

Design/methodology/approach

Using qualitative methods, this study uses a case study approach, conducting in-depth interviews with relationship managers from major New Zealand banks. The data are analyzed using thematic analysis with a process- and mechanism-oriented lens.

Findings

The study identifies bank criteria for defining SMEs, considering factors such as business complexity, owner/manager ethnicity and business lending. Banks divide their activities into personal and business banking, with the latter further classified as micro-, small- and medium-sized businesses based on borrowing amounts. Three types of RB emerge, namely, micro-business (online/many-to-many) relationship model (RM), small-business RM (one-to-many) and medium-sized business (one-to-one) RM. This study presents a taxonomy of business banking relationship management models that capture the structure and dynamics of the three RB levels.

Research limitations/implications

Interviews may introduce biases or limited perspectives. Findings specific to New Zealand may not universally apply. Future research could explore different regions and assess the impact of these RB models on SMEs’ financial outcomes and satisfaction with banking services.

Practical implications

Findings assist banks in organizing activities and managing SME relationships. Taxonomy aids in categorizing companies and determining appropriate management models. Consequently, tailored services can be provided based on SME needs, offering customized financial packages.

Social implications

RB models prioritizing ethnicity consideration and personalized services contribute to enhanced financial inclusion for SMEs, thereby fostering broader socioeconomic growth and development, partly through the provision of tailored financial packages. Additionally, relationship managers specializing in specific industries can offer valuable insights and assistance to SMEs, fostering mutual trust and collaboration.

Originality/value

To the best of the author’s knowledge, this is the first study to hypothesize, investigate, identify and provide evidence for three RB levels in SMEs. The presented taxonomy contributes to the literature on the SME–bank relationship by providing a structured framework for effective SME relationship management. Insights can help banks develop strategies and practices for serving SMEs, ultimately contributing to their growth and success.

Purpose

This study aims to examine the relationship between the diffusion of technology-enabled innovation in financial services (i.e. financial technology [FinTech]) and the financial performance, i.e. profitability and market value of the banks listed in the Gulf Cooperation Council (GCC) countries.

Design/methodology/approach

An extensive review of the literature was carried out, and a diffusion index of 73 items including was adopted to measure the level of FinTech usage or diffusion for the banks that are listed on the GCC stock exchanges. The study used return on assets (ROA) and Tobin’s Q (TQ) as proxies to measure profitability and market value, respectively.

Findings

The findings of the empirical results indicate that there is a positive relationship between FinTech implementation and market performance (TQ) in the GCC banks. The results also showed that the highest level of FinTech implementation was 79.7% by United Arab Emirates banks followed by Bahraini banks at 76.7% based on the index developed for this study.

Practical implications

This study, hence, recommends that policymakers and governments implement supportive policies and initiatives, allowing consumers to embrace technology as part of their way of life. This encourages banks and other organizations to formulate strategies that integrate technology into operations.

Originality/value

This paper offers new contributions to the GCC literature regarding financial technology and provides recommendations to the GCC financial institutions, financial markets, policymakers and governments.

Purpose

This study aims to examine stock price synchronicity during the COVID-19 crisis using 32,452 firms from 61 countries. This paper explores the impact of government effectiveness on synchronicity while distinguishing between developed and emerging markets.

Design/methodology/approach

The research analysis employs ordinary OLS pooled regression analysis.

Findings

This paper presents worldwide evidence that stock price synchronicity was significantly higher during February and March 2020. This paper shows that synchronicity increased with the intensity of the crisis. In addition, the government's role reduced the COVID-19 impact on synchronicity, which was stronger in developed markets than in emerging markets.

Originality/value

The novelty of the study lies in documenting the impact of the COVID-19 pandemic on stock price synchronicity. The findings add to a deeper understanding of market behavior amid significant disruptive shocks.

Purpose

The purpose of this study is to explore whether managers and firms engage in bundle manipulation. It examines the effect of discretionary accruals and real activities manipulation on the level of complexity in annual reports.

Design/methodology/approach

The findings from the examination of the 1,435 annual reports of Canadian listed firms engaging in discretionary accruals and real activities manipulation indicate that these firms produce complex annual reports.

Findings

The authors, therefore, suggest that managers and firms use bundle manipulation, both accounting and textual, to mislead shareholders and stakeholders. The analyses also suggest that it is more difficult to detect the manipulation of real activities than discretionary accruals through textual analysis.

Originality/value

The authors propose an in-depth examination of how accruals and real activities manipulations affect the level of readability of firms’ reports. Furthermore, the authors suggest that firms engage in bundle manipulation, including accounting and textual manipulation. This paper aims to provide an in-depth analysis of the relationship between accounting and linguistic manipulations. The study suggests that investors could use the complexity of annual reports to detect earnings management. More specifically, it seems that firms engaging in discretionary accruals produce complex annual reports.

Purpose

This paper aims to investigate the relationship between the Kingdom of Saudi Arabia (KSA)’s expenses in the health and social fields and the achievement of sustainable development goals (SDGs) 1 (elimination of poverty) and 3 (good health and well-being). This paper also examines the effects of the COVID-19 pandemic on these expenses and goals.

Design/methodology/approach

This paper observes the public expenses and the targets of the SDGs of KSA during 1981–2022. This paper tests the stationarity of the variables and then uses the ordinary least square model or the autoregressive distributed lag model, depending on the unit root test results. This paper also observes the change in target goals between the two years of the pandemic and the two preceding years.

Findings

The results show the influence of social expenditure on the progress of SDG-1, whereas the impact of health expenditure on SDG-3 is not significant. This paper also proves the impact of the pandemic on public expenses and social SDGs.

Practical implications

This paper attracts the attention of policymakers to the importance of assessing their SDG initiatives and the consequent outcomes. Additionally, this paper documents the initiatives for sustainable development in KSA, an important emerging country. Given the universal nature of the SDGs and the importance of KSA as an economic power with a large youth human capital potential, the findings offer insights applicable beyond KSA and provide valuable lessons for governments worldwide regarding the optimization of public spending for SDG achievement. Moreover, monitoring SDG advancement in this important country helps assess the progress of the the United Nations (UN)’s 2030 Agenda for Sustainable Development. Therefore, This paper helps boost the completion of this agenda and contributes to the bottom-up approach of the UN 2030 Vision, implicating all categories of stakeholders, including the academic community.

Originality/value

This paper furthers the literature on SDG achievement by analyzing the relationship between public expenses and SDGs. This paper contributes to the debate concerning the best methodology suitable for SDG valuation and adds to the few studies using autoregressive tests. Moreover, this paper enriches the scarce studies dealing with emerging countries and reviews the assessment of SDGs in KSA. Additionally, this paper investigates the effect of the COVID-19 pandemic on the assigned resources for SDGs and, consequently, on the related indicator scores.

Purpose

This study aims to address a notable gap in the existing literature by exploring the relationship between gender diversity and dividend policy within the context of US Real Estate Investment Trusts (REITs).

Design/methodology/approach

The authors use a substantial data set comprising 1,398 firm-year observations across 209 US REIT companies from 2011 to 2021 to address the research aims. Fixed effects models and generalized least squares regression methods are used in the analysis.

Findings

The results demonstrate a significant positive association between board gender diversity and higher dividend payouts among US REITs. This relationship holds after controlling for corporate governance and other firm-level factors. The findings have strong implications that the presence of women on REIT boards contributes to a greater propensity for discretionary dividend increases in the USA.

Originality/value

This research contributes to the literature by empirically examining female directors’ role in influencing US REITs’ dividend policies, an area lacking adequate prior scholarship. The paper also considers the unique regulatory environment of REITs, highlighting the importance of the study for externally financed firms.