Artificial Intelligence in Auditing: A Research Proposal for BUS707

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Added on  2022/10/17

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This research proposal investigates the transformative impact of Artificial Intelligence (AI) on the auditing profession. It addresses key research questions, including how AI will reshape audit processes, analyze investment costs and benefits, and facilitate robotic process automation in accounting and auditing. The research design incorporates both primary and secondary data collection methods, utilizing surveys and online resources, with thematic analysis for qualitative data. The study outlines a sampling plan involving approximately 30 employees and emphasizes ethical considerations, ensuring transparency and prudence in the research methodology. The proposal references key academic articles exploring AI's application in auditing, highlighting the potential for enhancing professional capabilities and adapting to evolving industry demands. The research aims to provide a foundation for future studies on AI's role in the auditing and accounting fields.
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ARTIFICIAL INTELLIGENCE IN
AUDITING
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RESEARCH QUESTIONS
Question 1: How audit process will be changed by Artificial Intelligence?
Question 2: How will cost and benefits of investment be analysed in Artificial
Intelligence?
Question 3: How process of robotics automation is instrumental in transformation of
accounting and auditing profession?
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RESEARCH OBJECTIVES
The major objective for this particular theme of leadership is developing and cultivating
professional capability of auditors and accountants for ensuring provision in leadership
role in business by the method of adoption and development of efficient, secured and
effective technologies of Artificial Intelligence.
By selecting this research topic for encouraging leadership theme, applicants would be
encouraged in highlighting focal points to identify basic opportunities and challenges
came up from this research project.
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RESEARCH DESIGN
Data Collection Method
This research will depend on collection of both sources of major and minor data. Major
data is information which will be gathered from several sources like survey or interview.
Minor data will have all data that are available in online platform.
Data Analysis Method
For carrying quantitative data analysis, data will be collected from the survey. For
evaluating qualitative data, thematic approach will be used. The data collected from
survey will be written considering several themes that are directly related with this
research paper.
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RESEARCH DESIGN (CONTINUED)
Sampling Plan
Sampling plan that will be used for this research will have both probability
and non-probability sampling. It is expected that around 30 employees will
be asked for participating in the survey to present their ideas on this topic.
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ETHICAL CONSIDERATION
Ethical consideration is in ensuring that the research paper will show the way for future
studies for researchers.
Ethical consideration related to the research is in ensuring transparency and prudence by
following the research methodology which includes data collection and finding data
through subsequent analysis.
This research requires in projecting the way for future research scope in this particular
subject of AI in auditing and accounting profession.
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REFERENCES
Issa, H., Sun, T. and Vasarhelyi, M.A., 2016. Research ideas for artificial intelligence in auditing: The
formalization of audit and workforce supplementation. Journal of Emerging Technologies in
Accounting, 13(2), pp.1-20.
Kokina, J. and Davenport, T.H., 2017. The emergence of artificial intelligence: How automation is
changing auditing. Journal of Emerging Technologies in Accounting, 14(1), pp.115-122.
Luo, J., Meng, Q. and Cai, Y., 2018. Analysis of the Impact of Artificial Intelligence application on the
Development of Accounting Industry. Open Journal of Business and Management, 6(4), pp.850-856.
Moffitt, K.C., Rozario, A.M. and Vasarhelyi, M.A., 2018. Robotic process automation for
auditing. Journal of Emerging Technologies in Accounting, 15(1), pp.1-10.
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