The Impact of AI on McDonald's Staff: A Dissertation Proposal

This dissertation proposal examines the effects of Artificial Intelligence (AI) on McDonald's staff and business operations. The introduction highlights the increasing technological advancements in the digital world and the transformative impact of AI on the global economy, specifically focusing on the fast-food retail sector. The proposal outlines the aims and objectives, including evaluating AI use, analyzing its effect on staff operations, and recommending implementation strategies. It poses research questions on AI's role, its transformation of staff and operations, its impact on staff performance, and how it can be implemented in business functions. The research methodology involves a quantitative design with a realism philosophy and an inductive approach, utilizing both secondary and primary data collected through random sampling, with thematic analysis for data interpretation. The literature review explores AI's influence on business, its challenges, and its impact on staff productivity, referencing studies and findings from various researchers. The proposal further discusses the benefits and drawbacks of AI integration, including its potential to streamline work and improve efficiency, as well as the risks associated with unemployment and wealth inequality. The proposal concludes by highlighting the importance of continuous monitoring and adaptation to maintain and control AI's performance.

Dissertation Proposal

Table of Contents
INTRODUCTION...........................................................................................................................1
Aims and objectives.....................................................................................................................1
Research questions.......................................................................................................................1
Research methodology.....................................................................................................................1
Literature review..............................................................................................................................2
REFERENCES................................................................................................................................5

Topic – A.I. and how it will affect McDonald's staff
INTRODUCTION
In today’s digitalization world, there has been a lot of technological advancement
occurring constantly. It has made it easy to for business as well people to communicate and share
data and information with each other (Steels and Brooks, 2018). Moreover, the evolution of AI
has transformed the world economy. it has allowed businesses to implement in their operation to
enhance their operational efficiency.
Aims and objectives
Aim – To analyze the effect of AI on staff and business operations. A case study on
McDonald’s.
Objective-
 To evaluate use of AI in business
 To analyze effect of AI on staff operation.
 To recommend how AI can be implemented within organization
Research questions
 What is the role of AI in fast food retail sector ?
 How AI has transformed the working of staff and McDonald’s operations ?
 What is the affect of AI on performance of staff ?
 How AI can be implemented in business functions ?
Research methodology
Research design- In this basically there are two types of research design followed. They are
qualitative and quantitative. In present research, quantitative design will be used.
Research philosophy- There are many philosophy approaches such as realism, positivism, etc.
for present research realism approach is followed. This will assist researcher in finding whether
there is positive or negative affect of AI on staff operation.
Research approach- There are three types of research approach that are inductive, deductive
and conclusive. in context to present research, inductive approach will be used
Data collection - usually, there are two types of data collection method that are primary and
secondary. In this researcher will collect both secondary and primary data.
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Data sampling- it refers to selecting data from population. There are of different types like
random, stratified, etc. thus, researcher will use random sampling method.
Data analysis – here, collected data is interpreted to obtain precise outcomes. The researcher
will use thematic analysis technique to interpret data.
Literature review
According to Ingrand and Ghallab, 2017, AI is influencing human lives to a great
extent. There has been a lot of improvements in areas such as business operations,
communication, transportation, etc. moreover, technology has provided a platform for business
to expand their operations worldwide. Besides this, AI has reduced process complexity enabled
companies to improve their product and service quality.
In a study conducted by Matthew Scherer 2016, it is very difficult to regulate AI
systems. It requires a proper integrated system to monitor and regulate AI. the systems perform
complex task such as driving car, controlling things, etc. in the future AI will reduce the demand
of labor in industry. This is because complex activities can be performed easily in less time as
well as cost. There are various challenges which restricts businesses to integrate AI with
operations. the first is lack of expertise that how to manage and control AI. another challenge is
misaligned incentives. So far AI has created a great impact on staff operations. due to complex
systems of AI it has been difficult for business to develop infra. Through which monitoring and
controlling can be done. In addition to this, the major challenge in AI is risk and security issues.
if not implemented properly it can lead to failure of entire concept. Apart from it, frequent
technological advancement is a big challenge to cope up pace of business.
In research conducted by Erik, Daniel and Chad, 2017, AI has modernize the productivity
paradox. The system which uses AI surpasses human level performance. It has been analyzed
that error rates have declined from 30%. Also, error rate in recognizing human voice has
decreased from 8.5 % to 5.5 % since 2010. Many private firms are highly investing in AI. this
can be identified by that in 2012 it was $589 million and in 2016 it raised over $5 billion in
2016. Along this, the productivity of employees has increased to a great extent. In paradox there
are four principles that is false hopes, mismeasurement, rent dissipation and implementation.
However, it has been suggested that any change in four areas directly impact on productivity.
The main advantage of using AI is it will be segregate work and standardize things. A smooth
flow will enhance efficiency of employees and making task easier.
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Moreover, in study conducted by Makridakis and Spyros, 2017, since past years AI
revolution will have a great impact on society and firms. The integration of AI with computer
and robots will become a serious competitor to jobs which are been performed by humans. Thus,
there is high risk of end of human supremacy. The unemployment rate will rise which will make
it difficult for people to fulfil their needs. But on other hand semi skilled and skilled labors will
be replaced by robots. Through this, developed nations can eliminate cheap labors and achieve
same by using AI technology. Thus, it will change trend of reshoring. Second drawback of AI
will that underdeveloped countries will not be able to invest in AI. it may be due to lack of
technology or infra. Another challenge is it will result in gap in wealth inequalities and social life
of people. Therefore, many people have to depend on part time jobs in order to fulfil their needs.
It will effect on economic growth on nation.
As elucidated by Hassabis and et.al., 2017, AI have transformed way of living of
people. Also, internet of things (IOT) has make task automated. This is due to development of
robots with use of AI. companies are highly engaged in using IOT in machines and production
process. however, it has benefited in combining operations and performing at similar time. thus,
the cost incurred has reduced. On contrary new systems and tools are installed to maintain and
control AI. also, continuous monitoring is required in order to measure its performance that
whether it has been implemented in right area or not.
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REFERENCES
Books and journals
Hassabis, D. and et.al., 2017. Neuroscience-inspired artificial intelligence. Neuron, 95(2),
pp.245-258.
Ingrand, F. and Ghallab, M., 2017. Deliberation for autonomous robots: A survey. Artificial
Intelligence, 247, pp.10-44.
Steels, L. and Brooks, R., 2018. The artificial life route to artificial intelligence: Building
embodied, situated agents. Routledge.
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