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This study aims to investigate the moderating role of natural language processing natural language processing (NLP) on the relationship between AI-empowered AIS (data gathering, data analysis, risk assessment, detection, prevention and Investigation) and auditing and fraud detection.

Quantitative methodology was adapted through a questionnaire. In total, 221 individuals represented the population of the study, and SPSS was used to screen primary data. The study indicated the acceptance of the hypothesis that “Artificial Intelligence in AIS has a statistically significant influence on auditing and fraud detection,” showing a strong correlation between auditing and fraud detection. The study concluded that NLP moderates the relationship between AI in AIS and auditing and fraud detection.

The study’s implications lie in its contribution to the development of theoretical models that explore the complementary attributes of AI and NLP in detecting financial fraud.

A cross-sectional design is a limitation.

NLP is a useful tool for developing more efficient methods for detecting fraudulent activities and audit risks.

The study’s originality stems from its focus on the use of AI-empowered AIS, a relatively new technology that has the potential to significantly impact auditing and fraud detection processes within the accounting field.

Narrative disclosures offer further elucidation of a company's financial performance beyond what is presented in numerical format. This can assist stakeholders in gaining a deeper comprehension of the elements that impact reported earnings, thereby improving the quality of financial information. The current research explores the impact of narrative disclosure on the earnings quality of firms listed on the Amman Stock Exchange (ASE).

Appropriating an index to measure the narrative disclosure level in the research sample firms, the research utilizes an analysis of the textual content of nonfinancial reports and statements issued by the management of the ASE-listed nonfinancial firms between 2013 and 2022. The financial statements issued in the annual financial reports are also adopted to extract data on earnings quality and the controlling variables. The analysis of the data and attainment of the findings necessitate using the panel data.

It is indicated that narrative disclosure affects earnings quality. To be precise, the greater the narrative disclosure, the lower the absolute value of the voluntary discretionary accruals and thus the higher the quality of accounting earnings.

The findings contribute to new research on disclosure issues, particularly narrative disclosure, which enhances reader confidence in financial and nonfinancial reports and prevents misleading and manipulated information.

This research helps decision-makers understand the relationship between reports, statements and earnings quality in a firm. It's unique in exploring this relationship, especially in developing countries. The study is the first of its kind in Jordan, known for its economic stability and strategic location in the Middle East, making its findings applicable to similar environments.

The current study aims to examine the influence of smart mobile banking services (SMBS) on senior clients’ intention to use banking applications through the moderating role of digital accounting. For that sake, features of SMBS were adopted and included (convenience, security, trust and ease of use).

Quantitative approach was used through adopting a questionnaire as a tool of study. The questionnaire was built by researcher through the aid of previous studies; the questionnaire was distributed on a convenient sample of senior bank clients who were above 60 years old as according to UNCEF. After application process, researcher retrieved (306) properly filled questionnaires and SPSS was used to screen and analyze gathered primary data. It is worth mentioning that Cronbach’s alpha scored higher than 0.70 which guaranteed the reliability and consistency of study tool.

Results of the study indicated that SMBS influence senior clients’ intention to use these applications and this influence is moderated by ramifications of digital accounting. It appeared that features of SMBS were mainly ease of use and trust, which can effect on how senior clients are convinced to use SMBS. Digital accounting appeared in the sense of guaranteeing a high level of stability and accountability to use SMBS through security, easy access, continuous update and valid presentation of application contents. Results of hypothesis testing accepted the main hypothesis which argued that there was a statistically significant influence of SMBS on senior clients’ intention to use, with a value of (R² = 0.73, p = 0.5). Based on such results, the study recommended that bank managers should focus on providing reliability and privacy by introducing digital accounting practices in a deeper way to ensure efficiency, reliability and compatibility in the banking services provided.

Limitations of current study were presented through the application on senior clients who were above 60 years old according to UNICEF. As for the practical implications of study revealed that understanding the factors that influence senior clients’ intention to use SMBS can help banks develop strategies to improve their experience with the banking service. For example, if digital accounting is found to be a significant moderating factor, banks can invest in digital accounting solutions to provide a more user-friendly interface for senior clients. As for theoretical implications, the study can extend the technology acceptance model by examining the moderating role of digital accounting in the relationship between SMBS and senior clients’ intention to use. This can contribute to a better understanding of the factors that influence technology adoption among senior clients.

The originality of current study is that it focuses on the use of SMBS, which is a relatively new technology that has gained significant popularity in recent years due to its convenience and accessibility. Also, the study examines senior clients, who are an important demographic for the banking industry, as they represent a large portion of the population that is more likely to face challenges in adopting new technologies.

Healthcare environments are highly complex and full of variation and inefficiency. However, variation and inefficiency can be measured and improved, providing better quality care at a lower cost. This study aims to report the application of Lean Six Sigma (LSS) in a haematology laboratory in a university hospital in Egypt.

The authors used case study research. Applying the define, measure, analyse, improve and control phases of the DMAIC methodology together with lean tools, the problem was identified, the process mapped, the causes analysed and improvements implemented.

Results show that LSS can be successfully implemented in challenging public sector healthcare settings. Management commitment, generating and implementing ideas from frontline staff, using a variety of quality tools and previous LSS training were all key to success. This is evidence that the LSS methodology is adaptable to any process, people or place.

There are no publications on LSS implementation in health care in Egypt. This study demonstrates the successful use of LSS in a university hospital (public sector) in a developing country, sharing insight into the facilitators and barriers in a real context with others in the healthcare field.