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Javed, Omar (2024) The Evolution of Accountants: Adapting to Big Data Analytic and Enterprise Resource Planning Systems in Accounting. Masters thesis, Dublin, National College of Ireland.
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Abstract
There have been several studies on the use of advanced technology of ERP and Big data analytics in the field of accounting, however, they mostly focus on its use providing details of benefits and challenges. This study evaluates the skill set, roles and responsibilities of modern accountants for adapting to Big Data analytics and ERPS in accounting for its effective, efficient and smooth working in organisations. With technology acceptance theory as a theoretical underpinning, the study collected data with the help of conducting semi-structured interviews for collecting qualitative data. The collected data is analysed with the help of subject matter analysis and the sample size is 5 accountants.
The research findings from the analysis suggested that the use of big data analytics and ERP systems in accounting helped improve the system's efficiency. ERP system helps in collecting and integrating data from various departments and platforms which can be analysed with the help of big data analytics. Moreover, it can be concluded that accountants face difficulties due to the requirement for technical skills. Therefore, it is recommended that accountants should acquire technical skills, programming knowledge, problem-solving and analytical skills.
The purpose of this research project is to contribute valuable information from literature sources on the subject of using big data analytics and ERP systems in accounting processes and the skills required by accountants for using these technologies. The study encourage the accountants to develop technical, programming and analytical skills to enable them to work with advanced technology. For the management of organisations and educators, findings help in providing promoting technical training to make accountants work with advanced technology.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Jameel Syed, Muslim UNSPECIFIED |
| Subjects: | H Social Sciences > Economics > Business > Accounting Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > Economics > Business |
| Divisions: | School of Business > Master of Science in Accounting |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 18 Jun 2025 10:24 |
| Last Modified: | 18 Jun 2025 10:31 |
| URI: | https://norma.ncirl.ie/id/eprint/7900 |
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