With the aim of determining the factors affecting the application of IFRS in teaching for universities and colleges with accounting and auditing training, the research was conducted at 30 universities, colleges with accounting and auditing majors, and 208 lecturers who are engaged in teaching accounting and auditing in Vietnam. Next, the study employed the method of regression analysis by PLS_SEM software to process and analyze the collected data. Research results show that eight factors are affecting the application of IFRS in teaching at universities and colleges in Vietnam in the order of influence from high to low, respectively (i) Training program; (ii) Teaching staff; (iii) Regulation on the application of IFRS of the Ministry of Finance; (iv) Request of the related parties; (v) Faculty/Institution administrators; (vi) Teaching aids; (vii) IFRS teaching methods and (viii) Learners (students, trainees). At the same time, the study also shows that the financial capability of the institutions does not affect the application of IFRS in teaching.

Artificial intelligence (AI) systems have significantly changed the audit process; nevertheless, the AI revolution opponents view this growth as a step-back as many auditors will fail to adapt to this new environment and will drop behind. Our descriptive study examines the perceived ease of use, usefulness, and contribution to the audit quality of different AI’s types. To address local audit firms concerns about their readiness to use AI systems in auditing processes and to advance auditing research, we examine whether perceived ease of use, usefulness, and contribution to audit quality vary by AI systems type (Assisted, Augmented, and Autonomous). An online questionnaire was used to collect data from 124 auditors representing local audit firms in Jordan. Our results indicate that auditors perceive Assisted and Augmented AI systems as ease of use in auditing while perceiving Autonomous AI systems as complicated to use. Besides, Auditors are underestimating Autonomous AI systems’ capabilities and perceived it as not useful for auditing. The results also reveal a significant difference between the perceived contribution to audit quality by the three AI systems types. This study contributes to the existing literature on AI and auditing by developing and testing a measure for AI systems’ perceived contribution to audit quality. This study also provides empirical evidence on how Jordan local firms auditors perceive AI use in auditing.

This study was conducted to investigate the determinants affecting the quality of audit services in Vietnam, from the perspective of auditing clients – the Foreign Direct Investment (FDI) clients. Based on the adjustments of SERVQUAL model, the article has discovered five out of six factors that positively affect audit service quality of historical financial statements at FDI enterprises in Vietnam, namely: tangibles, reliability, responsiveness, assurance and non-audit services. Data used in the study was collected from 250 accountants and directors at FDI enterprises in Vietnam. The Exploratory factor analysis (EFA) and Linear regression model were used to identify the factors that affect the quality of audit services. Findings from empirical research are the basis for recommendations for audit firms to enhance the quality of audit services in Vietnam.

This research investigates the relationship between auditor’s opinion and stock return in the companies listed at Tehran stock exchange market. In this study, all required data are collected from aware shareholders and provide a sampling of 130 questionnaires, the data collected over the period 2010-2011 using test methods such as computer software, data analysis and statistical methods to answer research questions. According to research result through questionnaires and tests, there is a significant relationship between stock returns and the auditor & apos; s opinion, in fact, for aware shareholders of the company the auditor’s opinion has a special message. This message is based on the results of study hypothesis in comparison with previous research with regard to changes in the questionnaire and provides assumptions that are more detailed. The first finding is that unqualified audit report has a positive impact on stock returns of companies with a medium to low degree. Adverse audit report has a negative impact on stock returns of companies with medium to high degree. Disclaimer of audit report has a negative impact on stock returns of companies with medium to high degree. Finally, qualifying paragraphs, which modified the items of income statement items have more impact in comparison with qualifying paragraphs which modified the Balance Sheet items.