Best Faculty Award
Nasareldeen Alnor
Jouf Unversity, Saudi Arabia
Nasareldeen Alnor is a researcher affiliated with Jouf Unversity whose reported scholarly profile is situated within Business, Management and Accounting. The profile records 39 documents, 247 citations and an h-index of 10. Recent publications supplied for this article indicate research interests spanning artificial intelligence, financial analysis, accounting information quality, audit quality, earnings management and organizational performance.
Abstract
Nasareldeen Alnor’s reported research profile reflects an interdisciplinary focus on accounting, management and the application of artificial intelligence to business decision-making. Recent work addresses how artificial intelligence can improve financial analysis and audit quality, while also examining relationships among academic qualifications, accounting information and organizational performance. These themes position the research within contemporary discussions concerning technology-enabled accounting and management practices.
Keywords
Artificial intelligence, financial analysis, accounting, audit quality, earnings management, organizational performance, total quality management, business analytics, management accounting, accounting information.
Introduction
Artificial intelligence is increasingly examined as a tool for improving analytical processes within accounting and finance. Alnor’s recent publications address this development through studies of financial analysis, audit quality and accounting information. The work also extends into organizational performance and total quality management, connecting technological change with established management research traditions.
Research Profile
The supplied Scopus profile identifies 39 documents, 247 citations and an h-index of 10. The publication record presented for this article demonstrates a recurring interest in the intersection of accounting, auditing, artificial intelligence and management. ORCID provides an additional persistent researcher identifier for distinguishing the scholarly record.
Research Contributions
- Examines artificial intelligence applications in financial analysis and auditing.
- Investigates accounting information quality and academic qualifications.
- Studies artificial intelligence as a factor associated with accounting and audit outcomes.
- Addresses total quality management and organizational performance in an industrial context.
Publications
The impact of artificial intelligence in improving the efficiency of financial analysis. Cogent Business & Management. [1]
The Impact of an Accountant’s Academic Qualifications on the Quality of Accounting Information: An Analytical Study Using Artificial Intelligence as a Mediating Variable. Journal of Risk and Financial Management.[2]
The Impact of Artificial Intelligence Technologies on Audit Quality. GLOBAL BUSINESS FINANCE REVIEW. [3]
The Role of Artificial Intelligence in Audit Quality and Reducing Earnings Management. WSEAS Transactions on Business and Economics. [4]
The Impact of Total Quality Management on Organizational Performance: An Applied Study for the Industrial Sector in Khartoum. WSEAS Transactions on Business and Economics.[5]
Research Impact
The reported citation count and h-index indicate measurable scholarly engagement with the research record. The publication themes are also relevant to current business research because artificial intelligence is being investigated in relation to financial analysis, audit processes, information quality and organizational outcomes. The combination of accounting and technology-oriented topics provides a basis for interdisciplinary academic contribution.
Award Suitability
Based on the supplied publication record and bibliometric information, Alnor demonstrates characteristics relevant to consideration for a Best Faculty Award, including sustained scholarly output, documented citation activity and research addressing contemporary issues in business and management. Particular relevance is provided by the integration of artificial intelligence with accounting and auditing research. Award decisions, however, should be based on the full evaluation criteria and independently verified records.
Conclusion
Nasareldeen Alnor’s academic profile combines business and management research with contemporary applications of artificial intelligence. The supplied record includes research on financial analysis, accounting information, audit quality, earnings management and organizational performance. These contributions provide a coherent basis for academic recognition within the International Academic Excellence Awards framework.
External Links
References
- Cogent Business & Management. (2026). The impact of artificial intelligence in improving the efficiency of financial analysis.
https://doi.org/10.1080/23311975.2026.2651475
- Journal of Risk and Financial Management. (2026). The Impact of an Accountant’s Academic Qualifications on the Quality of Accounting Information.
https://doi.org/10.3390/jrfm19080606
- GLOBAL BUSINESS FINANCE REVIEW. (2026). The Impact of Artificial Intelligence Technologies on Audit Quality.
https://doi.org/10.17549/gbfr.2026.31.7.175
- WSEAS Transactions on Business and Economics. (2026). The Role of Artificial Intelligence in Audit Quality and Reducing Earnings Management.
https://doi.org/10.37394/23207.2026.23.67
- WSEAS Transactions on Business and Economics. (2026). The Impact of Total Quality Management on Organizational Performance.
https://doi.org/10.37394/23207.2026.23.40
- ORCID. (n.d.). ORCID record for Nasareldeen Alnor.
https://orcid.org/0000-0001-7679-3084
- Elsevier. (n.d.). Scopus author details: Nasareldeen Alnor, Author ID 58618257900. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=58618257900