Influence of Automatic Learning Ability of Artificial Intelligence on Accounting Firm: A Case Study of Azure Group PTY LTD

The paper aims to investigate the influence of the automatic learning ability of artificial intelligence on the selected organization, Azure Group PTY LTD, a chartered accounting firm based in Sydney, Australia. The research questions guiding this paper include work-related expenses, client services, new technologies, challenges, and sustainable development. The paper uses primary and secondary data collection methods to understand the impact of artificial intelligence on accounting systems.

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Client Organisation
The selected organization for the paper Azure Group PTY LTD is which is a type of chartard
accounting firm based in Sydney Australia. The business organization has around 20000
employees all over Australia (Azuregroup.com.au. 2018). The different departments of this
organization which are benefitted from the use of the automatic learning ability of artificial
intelligence are payroll, digital marketting, auditing, agents details,webinar conferencing and
property development.
Research Background
The problems faced by this organization is staying on top of tax changes, controlling of the work
related expenses, delivering services to deadlines for the clients, issues associated with
implementation of new technology in the accounting systems and challenges of the sustainable
development (Parkes and Wellman 2015). It is very important to solve this problem so that the
growth and development of this business organization is maintained. In order to resolve those
issues the application of the automatic learning mechanism is very much important as it is not
possible to set or manage few departments such as the audit and digital marketting which are are
completely based on the computational mechanisms. The automatic learning abilities can
understand the recent trends in an effive way compared with the manual methods.
Research Problem / Research Question
The research questions guiding this paper are as followings:
o What are the probable work related expenses associated with this organization?
o How important is it to deliver the desired services to the clients of this organization?
o What are the new technologies which are generally incorporated in the accounting
systems?
o What are the challenges faaced by this organization when they incorporate new
technologies in their working environment?
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o What are the issues and challenges associated to the sustainable development of this
accounting firm?
o What is the significance of the problems associated with this accoungting organization?
Research Aim and Objectives
The paper aims to investigate the influence of the automatic learning ability of artificial intelligence
on the selected organization.
Keywords for Literature Review
Keywords: Intelligent bots, Artificial Intelligence, Control mechanism.
Framework: According to Syam and Sharma (2018), the business problems associated with this
accounting corporation can be solved purposefully with the help of the automatic learning ability of
the artificial intelligence. The researchers helps in understanding the automated learning ability of
artificial intelligence in the frameworks of this accounting organizations.The main advantage of
this paper is that it provides indepth knowledge about the mathematical programming techniques
used in the machine learning techniques of artificial intellligence (Lin, Wu and Hsueh 2014). The
most important drawback of this paper is that it focus only on the advantages of using automated
learning ability of the artificial intelligence which can be used in this accounting firm, it fails to
discuss the issues associated to the incorporation of this advanced technology such as the extra
costs associated to it which is one one the main concern of the accounting organizations.
Solution of contemporary issues: As discussed by Byrne (2018), the contemporary issues such
as the business ethics of the accounting industry can be solved purposefully with the help of
Artificial Intelligence as they can understand the ability to understand the needs and requirements
of the clients. The main feature of this paper is that it provides the detailed insights of the issues
faced in an accounting organization. The paper helps in understanding the issues and challenges
associated with contemporarey issues of the accounting organizations (Osoba and Welser 2017).
The prime advantage of this paper is that it clearly states the issues associated with the clients
who are the main stakeholders of this business. The main drawback of this paper is that it lacks
the impact of a client who is not satisfied with the quality of service provided by this organization.
Automation: As stated by Fernandez and Aman (2018), algorithms and ML techniques are used
by the AI based machines for automatic learning mechanism. The machine learning technique
has a very close relationshiop with datra mining techniques also. The activities of the networking
intruders can be checked by the automatic learning mechanism of artificial intelligence.The
researchers focussed on the positive impact of the automatic learning techniques of the
automated systems in the accounting system, the most important positive aspect of the paper is
that it helps to deal with the external the challenges faced by the accounting organizations. The
drawback of this paper is that it is written entirely in a generalized form instead of providing a
details on any particular type of threat which can be resolved by the discussed automatic learning
ability of the AI based system. .
Accounting machines: According to Rich and Waters (2014), machine learning technique is very
much efficient for maintaining the business process of the accounting organization. The prime
advantage of the paper is that it provides indepth knowledge about adavatage of this technique in
terms of the optimization of the statistics, the management of the artificial neutral networks by the
automatic learning ability is also discussed in the paper.The main drawback of this paper is that it
focuses only on the advanced technology rather than the implementation process.
Publication details of relevant articles for literature review
 Syam, N. and Sharma, A., 2018. Waiting for a sales renaissance in the fourth industrial
revolution: Machine learning and artificial intelligence in sales research and practice.
Industrial Marketing Management, 69, pp.135-146.
 Byrne, D., 2018. Introduction. In Contemporary Issues in Accounting (pp.14). Palgrave
Macmillan, Cham.
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 Fernandez, D. and Aman, A., 2018. Impacts of Robotic Process Automation on Global
Accounting Services. Asian Journal of Accounting and Governance, 9.
 Rich, C. and Waters, R.C. eds., 2014. Readings in artificial intelligence and software
engineering. Morgan Kaufmann.
 Parkes, D.C. and Wellman, M.P., 2015. Economic reasoning and artificial intelligence.
Science, 349(6245), pp.267-272.
 Lin, H.C.K., Wu, C.H. and Hsueh, Y.P., 2014. The influence of using affective tutoring
system in accounting remedial instruction on learning performance and usability.
Computers in Human Behavior, 41, pp.514-522.
 Osoba, O.A. and Welser IV, W., 2017. An intelligence in our image: The risks of bias and
errors in artificial intelligence. Rand Corporation.
 Azuregroup.com.au. (2018). Accountant Sydney, Business Accounting, Tax Accountant,
Small Business Accounting. [online] Available at: http://www.azuregroup.com.au/about-us
[Accessed 7 Dec. 2018].
Data Collection Plan
The data collection chosen for this paper is both primary and secondary data collection method.
The data collected from the primary data collection will be from the survey, questionaire and
interview. The secondary data collection for this paper will be from journals and books. The online
survey will be conducted on clients of the accounting industry. Questionaires will be distributed
among both the internal and external stakeholders of the accounting organizations. The interview
will be conducted on the clients who have the experince of working with artificial intelligence in
this corporation. Journals and books will be equally helpful to understand the impact of the articial
intelligence in the accounting systems.
Ethical Consideration
The ethical consideration of this paper is that the data collected from the two types of data
collection methiod is maintained under the Data Protection Act 1998. The privacy of the data is
needed to be restored and maintained so that the data cannot be used for any other purposes.
Any breaching of data may be subjected to violations. The reasearcher will have to take the
consent of the authorized respondents to use those data in other purposes.
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