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All Journal International Journal of Economics, Commerce, and Management Systematic Literature Review Journal Multicore International Journal of Multidisciplinary (MIJM) International Journal of Science and Society (IJSS)
Abalaka James Nda
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Transportation Systems, Problems and Challenges Affect Their Contribution to an Analysis of the Issues of the Economic Development in Nigeria Abalaka James Nda; Ajiteru S.A.R; Sulaiman T.H
International Journal of Economics, Commerce, and Management Vol. 1 No. 4 (2024): October : International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v1i4.226

Abstract

The purpose of this article is to examine the current issues and difficulties that Nigeria's four main transportation modes are facing. The data utilized in this research were gathered by field observations, oral interviews, and a thorough literature search of books, journals, and pertinent government documents. After discussing the difficulties and issues affecting each mode's ability to continue contributing to the nation's economic development, the historical evolution of each mode and its historical role in that development are provided. The main effects of driving being preferred over other modes of transportation are the environmental issues associated with driving and the high rate of traffic accidents on Nigerian roads. There are numerous inland waterways of capacity that is underutilized as a result of the antiquated railway system. Despite being widely utilized, the airways still require significant development and refinement. In order for these modes to continue contributing to Nigeria's economic development, the study offered viable solutions to these issues and obstacles.  
The Impact of Artificial Intelligence on the Accounting Profession : A Conceptual Analysis at OAGF Abalaka James Nda; Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Systematic Literature Review Journal Vol. 1 No. 4 (2025): October: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i4.226

Abstract

This paper explores the transformative influence of artificial intelligence (AI) on the accounting profession, particularly within the Accountant General of the Federation (OAGF). The research investigates how AI-driven innovations are reshaping traditional accounting practices and redefining the role of accountants. By conducting a systematic literature review, this study identifies three primary dimensions of AI’s impact: the automation of repetitive tasks such as data entry, transaction processing, and reconciliation; enhanced data analytics capabilities, which include predictive modeling and real-time decision support; and the evolution of accountants' roles toward more strategic and value-added activities, such as financial advisory and risk management. The automation of routine processes through AI allows accountants to focus on higher-level tasks that require judgment, creativity, and expertise, ultimately enhancing the overall efficiency of the accounting function. Furthermore, AI’s advanced data analytics tools provide more accurate insights, enabling accountants to offer more effective financial guidance and make more informed decisions. As AI reduces the time spent on manual processes, accounting professionals can improve their role in advising on business strategy, improving risk management, and identifying new growth opportunities. The study’s findings underscore the importance of embracing AI in the accounting profession, not only to improve operational efficiency, reduce costs, and scale operations but also to enable accountants to stay competitive in a rapidly evolving technological landscape. The paper concludes by emphasizing that adopting AI is essential for accountants to remain relevant and continue providing valuable contributions to their organizations. Future research should focus on the long-term implications of AI on accounting ethics and the development of necessary skills for accounting professionals to thrive in the age of AI.
A Review of the Impact of Artificial Intelligence on Traditional Accounting Practices and Financial Reporting Abdullahi Ya'u Usman; Sulaiman Taiwo Hassan; Abalaka James Nda; Yusuf Adeyanju Yisau
International Journal of Science and Society (IJSS) Vol. 1 No. 1 (2025): June
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/ijss.v1.i1.1

Abstract

This study investigates the transformative effects of Artificial Intelligence (AI) on conventional accounting practices, focusing on its influence in reshaping financial reporting, auditing, and decision-making frameworks. Positioned within the context of rapid technological progression, the research traces the shift from traditional, manual accounting processes to advanced AI-enabled systems. The objective is to critically evaluate how AI adoption is redefining the accounting profession, identifying both the opportunities it offers and the challenges it poses. A systematic literature review and bibliometric analysis were conducted, drawing from peer-reviewed journals, case studies, and industry publications from the past ten years. This comprehensive methodology facilitates a deep understanding of AI’s role in accounting, particularly in enhancing accuracy, efficiency, and strategic capabilities within the field. Results indicate that AI significantly boosts the precision and speed of financial operations by automating repetitive tasks and providing predictive insights for more informed decision-making. Nonetheless, the implementation of AI faces several obstacles, including the demand for technically skilled professionals, concerns surrounding data security, high implementation costs, and organizational resistance to change. The study concludes by advocating for a measured and strategic approach to AI integration. Emphasis is placed on continuous professional development, ethical considerations, and adherence to regulatory standards. While the transition presents challenges, the potential of AI to transform accounting practices and drive innovation in the digital age is substantial. 
Accounting Standards Reporting in Digital Technologies Exploring Benefits Challenges and Potential Risks Abalaka James Nda; Lukman Ojedele Lawal; Sulaiman Taiwo Hassan
International Journal of Science and Society (IJSS) Vol. 1 No. 1 (2025): June
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/ijss.v1.i1.5

Abstract

In today’s era of the Fourth Industrial Revolution, digital technologies have become essential in the field of accounting. These technological advancements are reshaping all business sectors, including accounting, with both positive and negative consequences. The rapid adoption of digital tools is challenging accounting professionals and recent graduates to acquire new digital competencies. However, despite the growing presence of these technologies, there remains a gap in understanding their overall impact on accounting practices. This study provides a critical analysis of the role digital technologies play in accounting and reporting, emphasizing their benefits, limitations, and associated risks. Employing a systematic literature review alongside an inductive approach and thematic analysis, the research reveals that, although issues such as inadequate data governance, cybersecurity threats, and privacy concerns persist, digital technologies significantly enhance accounting by enabling real-time data access, automating routine tasks, facilitating data visualization, supporting big data analytics, reducing errors, and improving operational efficiency. Ultimately, these technologies are revolutionizing accounting processes by increasing both effectiveness and productivity. The study advocates for accounting professionals, practitioners, and policymakers to prioritize investment in emerging digital innovations. 
Comprehensive Review on Artificial Intelligence Techniques for Financial Forecasting and Their Applications in Stock Market Analysis Sulaiman Taiwo Hassan; Yusuf Adeyanju Yisau; Abalaka James Nda; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.4

Abstract

The methodology involves a systematic review of scholarly literature, concentrating on peer-reviewed studies that discuss the efficacy, obstacles, and future directions of AI in stock market forecasting. Results indicate that AI holds significant promise for improving market efficiency and enhancing the understanding of price volatility. Nonetheless, issues such as data integrity, transparency of AI models, and the demand for comprehensive regulatory oversight remain critical concerns. The conclusions emphasize AI’s transformative capacity to process large-scale datasets and forecast market behavior with greater precision. At the same time, the research acknowledges current AI limitations and advocates for a hybrid approach that integrates AI with traditional forecasting techniques and ongoing algorithmic improvements. Recommendations stress the importance of interdisciplinary collaboration among AI developers, ethical scholars, and financial professionals to create AI systems that are transparent, ethically responsible, and operationally effective. Overall, this paper provides an extensive overview of AI’s impact on financial forecasting, offering valuable insights for future research. It highlights both the substantial opportunities and complex challenges AI introduces to stock market analysis, marking a significant step toward more data-driven decision-making in finance.
Co-Authors Abdullahi Ya'u Usman Ajiteru S.A.R Lukman Ojedele Lawal Sulaiman T.H Sulaiman Taiwo Hassan Yusuf Adeyanju Yisau