This study investigates how key audit matter (KAM) characteristics influence financial statement understandability and subsequent investor decision making. Using Structural Equation Modeling-Variance Based (SEM-VB) through Partial Least Squares (PLS), the analysis was conducted on a diverse global sample of investors from Europe, North America, Asia-Pacific, Africa, and Latin America. The results indicate that KAM accuracy, reliability, audit quality, and financial reporting quality significantly enhance perceived financial statement understandability, which in turn positively impacts investor judgments. The mediating role of understandability is confirmed, emphasizing its crucial influence on investors’ decisions. Additionally, an importance-performance map analysis (IPMA) identified KAM reliability and accuracy as the most critical factors. This study contributes to the theoretical and managerial understanding of audit practices and investor behavior.

The objective of this research is to investigate the impact of Artificial Intelligence (AI) on improving the quality of financial reporting in the Islamic banking industry. The study is conducted within the theoretical framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). The study utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the data collected from a sample of 364 professionals working in the field of Islamic banking. The results of our study suggest that Performance Expectancy, Effort Expectancy, and Social Influence are important factors in predicting individuals' Behavioural Intention to use Artificial Intelligence (AI). Additionally, the presence of Facilitating Conditions further enhances the impact of these factors on individuals' actual Use Behaviour. Significantly, it was shown that Use Behaviour played a significant role in determining the perceived quality of financial reporting. Nevertheless, the study did not find empirical evidence to demonstrate the direct influence of Behavioural Intention on Financial Reporting Quality. This implies that the actual implementation of Artificial Intelligence is required to fully realize its advantages. The use of artificial intelligence (AI) into governance frameworks presents a potentially advantageous pathway for Islamic banks to uphold Shariah principles, while concurrently bolstering accountability and fostering ethical banking practices.

Internal auditors are considered a valuable source of information since they are more familiar with the company and its environment. This study aimed to identify the relationship between internal and external audits affecting the quality of firms' reports. To achieve the objectives of the study, a 30-item questionnaire was developed and sent to 312 external auditors and managed to collect 276 (88.5%) properly filled questionnaires. Descriptive statistics and multiple regression were used to test the hypotheses of the study. The results show that Jordanian auditors perceived favorably the cooperation between internal and external auditors to enhance the quality of financial reporting. For instance, the results revealed positive and significant effect of objectivity in enhancing the level of cooperation between internal and external auditors in a way that increased the level of financial reporting quality. Moreover, the quality of financial reporting has been affected positively resulting in the positive effect of the technical competence of the internal audit’s work and professional care. Finally, the cooperation between the two auditing teams was noticeable through the nature and scope dimension that, in turn, increased the quality of financial reporting. Based on these results, external auditors are highly recommended to rely on internal audit works which could lead to enhance financial reporting quality.

The aim of the study is to determine the effectiveness of corporate governance on corporate social responsibility (CSR) performance and financial reporting quality in Saudi Arabia's manufacturing sector. The data is collected through the database of Thomson Reuters from 30 manufacturing companies of Saudi Arabia over the period 2014-2020. Descriptive statistics and the generalized least square (GLS) model were applied. The dependent variable was calculated through residuals and was found as discretionary accruals (DA). The findings reveal that there was a positive influence of corporate governance on CSR performance and financial reporting quality. It was found that sample size was one of the biggest limitations because only data from 2014 to 2020 were collected and to make the study more reliable and authentic, larger data is required.

The basic aim of the ongoing article is to examine the impact of social corporate responsibilities on the financial reporting quality of Jordanian manufacturing firms. For this purpose, data has been extracted from the top fifteen manufacturing companies by using corporate reports along with the Amman Stock Exchange from 2010 to 2020. The random effect model along with the generalized method of moment (GMM) has been executed for analysis purposes. The results revealed that social corporate responsibilities have positively impacted on the financial reporting quality of the Jordanian manufacturing firms. These findings have been guided to the regulators that they should provide the focus on the social corporate responsibilities that enhance the quality of financial reporting of the firm. The findings of the current study may be helpful for the manufacturing firm who wants to produce better quality of financial reporting along with the upcoming studies who want to investigate this area in their studies.

The current manuscript aimed to explain the impact of big data on the financial reporting quality of the industrial sector in Jordan. To achieve the manuscript goals and validate hypotheses, a field study was conducted by distributing a questionnaire to 325 financial managers in industrial companies listed on the Amman Stock Exchange during a specific period. Gathered data were analyzed using structural equation modeling (SEM). The manuscript concluded that the big data dimensions, including variety, volume, and velocity, had a positive impact on financial reporting quality. Therefore, a set of recommendations were provided to managers of the industrial companies in Jordan to put in place an extensive data governance system to as-sure data quality, security, privacy, and compliance. To ensure the integrity and dependability of financial reporting, define data ownership, create data quality standards, and develop processes for data access, use, and preservation.

The current research seeks to assess the influence of corporate governance mechanisms and IFRS adoption on compliance with IFRS, earning management, and financial reporting quality(FRQ). A sample comprises 102 Saudi listed firms for the period spanning from 2014 up to 2019 was used. The study used descriptive statistics, correlation analysis and multivariate analysis to estimate the results. The results reveal that while board size, board meeting and foreign ownership had negative effects on compliance with IFRS, board and audit committee independence exhibited a positive effect. Further, the results demonstrate that there was a sign of earning management under IFRS when a performance magnitude was used. The results also indicate that board and audit committee size, audit committee meeting and managerial ownership had significant negative effects on financial reporting quality however, board and audit committee independence showed a significant positive effect. Importantly, the results found that FRQ under IFRS was better than Saudi GAAP. The present research provides practical implications for policy makers, stock market authority, and academicians. More regulatory and disclosure requirements have to be imposed and financial reporting supervisory board need to be formed. The present research provides a novel contribution to IFRS compliance, earning management, financial reporting quality and corporate governance literature. It has a unique contribution as it attempts to investigate this issue in the context of an emerging economy and a recent IFRS adopter; Saudi Arabia that has special country-specific characteristics. The study also provides an evidence by investigating earning management and financial reporting quality under both sets of accounting standards; IFRS and Saudi GAAP.