Business research Methodology Research 2022

Running head: BUSINESS RESEARCH METHODOLOGY
Business research Methodology
Name of student
Name of University
Author note

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BUSINESS RESEARCH METHODOLOGY
Table of Contents
Section 1.....................................................................................................................................3
1.0 Developed description of the researchable topic..............................................................3
Section 1000...............................................................................................................................3
2.0 Aim of the research..........................................................................................................3
2.1 Research objectives..........................................................................................................3
2.2 Research Questions..........................................................................................................4
2.3 Research background........................................................................................................4
Section 3.....................................................................................................................................5
Artificial Intelligence technology and related theories and models.......................................5
The impact of AI technology on the consumers.....................................................................7
Section 4.....................................................................................................................................8
References..................................................................................................................................8

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BUSINESS RESEARCH METHODOLOGY
Title: The effect of Artificial Intelligence (A.I) on consumers in the car industry Nissan
Section 1
1.0 Developed description of the researchable topic
The research highlights the importance of using Artificial Intelligence or AI
technology to the car industry and creating a significant impact on the consumers for driving
sales and profitability in business. The car manufacturing company named Nissan has been
considered as the case study here. The basic motive of the research topic is to find out how
the use of this AI technology can win the minds of the people who are intended to purchase
cars. The AI technology can directly impact the sales and marketing as well as design the cars
with the help of this technology for meeting the changing demands of customers regarding
ever more features packed cars (Tian, Chin and Karg 2016). The marketing and sales
activities have been integrated via AI, which has helped in utilisation of rapidly expanding
data and information and even personalised the sales efforts for the purpose of cross selling to
the clients. The forecasting of sales could be done more efficiently with the help of this
technology enabled automation procedure and also the product configurations, allocation of
socks and after sales operations would be managed much comprehensively. This kind of
technology has also the ability to resolve issues related to robotics, computer vision and
machine learning, thereby, ensures making effective decisions and allow human decision
makers to provide support at the same time (Ab Rahman, Hamid and Chin 2017). This will
boost the designing and quality of products and can easily provide better features, which can
create positive mind sets among the customers and influence their buying behaviours too.
Thus, it could be believed that the use of Artificial Intelligence or AI has created a good
effect on the consumers of Nissan within the car manufacturing industry of Australia.

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BUSINESS RESEARCH METHODOLOGY
Not only does the car designing will be enhanced, but also the marketing and sales
activities can be influenced with the use of Artificial Intelligence technology in the car
manufacturing industry. AI is considered as a core component of the future proofing
technology, which carries the ability to deploy the AI technology in the automotive marketing
and sales, thereby, explore the new scopes and opportunities to target the new market
segments comprehensively (Lamberton, Brigo and Hoy 2017). The integration of AI into the
sales within the automotive industry would also help in automation of lead management
activities, thereby drive in more customers towards the company and ensure cross selling
activities too all through the cycle of car production. The AI technology can even be
embedded in the post sales services to optimise the after sales operations though constant
support provided to the customers’ queries through use of chat bots and virtual assistants.
This would ensure greater customers’ efficiency and raise the bar for excellence in the car
production and delivery processes within the concerned industry (Ranjan 2017).
Section 2
2.0 Aim of the research
The research aims to find out the effect caused by using Artificial Intelligence on the
consumers within the car industry of Nissan
2.1 Research objectives
 To identify the impact created with the utilisation of Artificial Intelligence on the
people who wants to make purchase of Nissan cars
 To evaluate various approaches that have brought significant impact through
integration with Artificial Intelligence Technology or AI