Forensics Analysis of Disruptive Innovation in Automotive Industry

This report investigates the impact of disruptive innovation, particularly focusing on Vehicular Ad-hoc Networks (VANET), within the automotive industry. The study examines the role of cloud forensics in analyzing these innovations, addressing their effects on the existing market and assessing security concerns. The research employs a mixed-methods approach, including a literature review, quantitative data collection through questionnaires, and data analysis to understand the adoption and impact of technologies such as VANET, augmented reality dashboards, autonomous vehicles, and shared mobility. The findings reveal the significance of cloud forensics in enhancing automotive performance and establishing new market values, alongside identifying both the positive and negative impacts of these technological advancements.

FORENSICS READINESS
TO ANALYSE THE
DISRUPTIVE INNOVATION
IN AUTOMOTIVE
INDUSTRY.

OUTLINE
 Section-1: Introduction
 Section-2: Literature Review
 Section-3: Research Methodology
 Section-4: Data Analysis
 Section-5: Discussions
 Section-6: Conclusion and Recommendation
 Section-7: Reflection
 Outcomes
 Automobile industry is continuously evolving with
enhancement of the technologies and this leads to bring in
disruptive innovation through which market challenges can be
addressed in an appropriate manner. VANET is one such
technology that will lead to bring in significant improvisation
within ensuring safety of the people. The vehicular ad-hoc
network (VANET) refers to technology that utilise moving cars
like a node within the network for creation of mobile network.
VANET is accountable for turning up each of the participating
cars into the wireless nodes or router that will allow cars that
are at the distance of near around 100 to 300m of one another
for having a connection and then formulate the network of
wider range.
 REFERENCES

1: INTRODUCTION AND AIM
Vehicular ad hoc network (VANET) implies
network of vehicles that move at high speed as
well as interact with one other with different
rationale but the critical purpose to improvise
overall security while being on the road.
The primary aim of current investigation is to
examine the disruptions related to innovations
associated with automobile industry, to
determine that how the existing market is
being affected due to the disruptive
innovation. It is also effective that used to
oversees the crime committed related to the
cloud and at the same time also investigates on
it to manage it properly.
One of the main advantage of cloud forensics
is that it is cost effective and also similar with
cloud computing and also evolved different
cybercrime investigation.

CONTINUE…
 The main objectives which will be achieved during the research are as follows:
 The study focuses on the improvements in the automobile industry.
 The study focuses on the disruptive innovation that is being made in automobile
industry.
 The study focuses on the impact of the disruptive innovation on existing market of
the automobile industry.
 The study focuses on the existing literature studies made on the automobile
industry and cloud forensic.
 The study focuses on the role of cloud forensic in disruptive innovation.
 Following questions will be addressed during the research:
 What is the role of the cloud forensic in implementing innovation in automobile
industry?
 What is the impact of disruptive innovation in automobile industry?
 What is the impact on the existing market due to disruptive innovation and cloud
forensic?
 How cloud forensic impact innovation in automobile industry?
 How disruptive innovation helps in establishing new market value in automobile
industry?

CONTINUE…
H0: The research focuses in finding out the positive and negative impact
of disruptive innovation in automobile industry.
H1: The research focuses on developing an in-depth knowledge about the
impact of cloud forensics.
The main purpose of undertaking current investigation is to explore the
actual impact of cloud forensic in order to analyse the disruptive
innovation made in automobile industry.
The chapter will contain the following points:
Introduction
Literature Review
Research methodology
Data analysis
Discussion
Conclusion and recommendation
Reflection

SECTION-2: LITERATURE
REVIEW
 According to Arshad, Jantan and Abiodun (2018), the transformation might be
rapidly happening but rarely these transformations finished without hitting the
hurdles to the implementation. There should be the digitalisation across value
chain. The digitalisation across value chain takes the production to new level.
 According to Bylykbashi and et. al, (2020), Disruptive innovation is an
innovation that mainly helps in developing new value market as well as
disrupts existing market. VANET is a disruptive technology that have assisted
automobile sector within understanding the power of networking. Most
probably the most prominent that are being utilised involves short range radio
technologies such as WLAN.
 Automotive industry mainly comprises wider range of the firms
consists in design, development, marketing and selling of the
motor vehicles. It is one of the biggest sector through earning
in world. High cost tag of cars develops the more expectations
between customers for product quality and also customization.
It turns leads to intricacy of production process. Adopting the
smart factory solution is main method for the automotive
manufacturers to assure that quality of goods meet consumer
demand.

CONTINUE…
 As per the view of Karampidis, Kavallieratou and Papadourakis (2018), by considering
continuous growth within the automotive market, there is a significant increase within the
demands for safety of the car, driven via governmental or regulatory domain.
 The impact of VANET on the automobile industry can be understood by taking into consideration
applications that are being rendered by this such as Co-operative collision warning, Lane change
warning, Intersection collision warning, approaching emergency vehicles, Rollover warning etc.
 Vehicular connectivity is regarded like essential application that adds up extra value into car
industry along with services of the operator. By considering continuous growth within the
automotive market, there is a significant increase within the demands for safety of the car, driven
via governmental or regulatory domain.

CONTINUE…
 Cloud forensics is subset of network forensics. There are 3 main
dimensions associated with this such as technical dimension,
Organisational dimension and legal dimension. Security within VANET
specifies identification of responsibility of driver while ensuring their
privacy.
 Security within VANET specifies identification of responsibility of driver
while ensuring their privacy. But the technology is exposed to different
attacks along with threats as the advantage that is being rendered via
computational capabilities is not feasible enough within the normal ad-hoc
networks.
 There is significant development within automotive industry that is related
with phenomena of autonomous vehicles, telemetric, electro mobility and
digitalisation. With reference to present scenario, advancement,
development as well as operations of vehicles are associated with
digitalisation and introducing the electronic devices. There are various
challenges of security which are associated with the disruptive innovation
such as real time constraint, high mobility and data consistency liability.

SECTION-3: RESEARCH
METHODOLOGY
 Choice of data: Quantitative research methods.
 Research philosophy: Positivism philosophy.
 Research approach: Deductive research approach.
 Research design: Descriptive research design.
 Data collection: Primary (Questionnaire) and Secondary Method (Literature Review).
 Research instrument: Interview, focus group, questionnaire, modelling and many
more
 Data analysis: Frequency table.
 Research strategy: Structured Questionnaires.
 Sampling techniques: Non-probability sampling will be applied. The sample size that
will be taken in this is 70.
 Research ethics: The ethics utilised within current investigation are anonymity,
informed consent and confidentiality.
 Research limitation: Lack of time, lack of appropriate previous data within the
specific research area, scope for the discussion and many more (Sharma and Kaul,
2020).
 Research reliability & validity: Test techniques or instrument that is questionnaire.

SECTION-4: DATA ANALYSIS
 Theme 1: Concept of disruptive technology
 Interpretation: As per the above graph 52 respondents are aware about the concept of
disruptive technologies.
Q1) Do you have understanding about disruptive technologies in
context to automobile industry?
Frequency
a) Yes 52
b) No 18
Fig 1: Concept of disruptive technology

CONTINUE…
 Theme 2: Distinct disruptive
technologies
 Interpretation: Based on the above
graph, it is interpreted that majority of
the individuals i.e., 20 individuals out
of 70 believe that VANET technology
can be applied for vehicle security in
automotive sector.
Q2) What are the
different disruptive
technologies that
can be utilised
within the
automobile
industry?
Frequency
a) Augmented reality
dashboard
11
b) Predictive
technology
15
c) Autonomous
vehicles
11
d) VANET
technology
20
e) Shared mobility 13
Fig 2: Distinct disruptive technologies

CONTINUE…
 Theme 3: Impact of disruptive technology
 Interpretation: Augmented reality
dashboard, Predictive technology,
Autonomous vehicles, VANET technology,
and Shared mobility positively impact the
automotive sector. & assist the respective
industry in achieving its full potential in
terms of evolving over time.
Q3) What
impact will be
created by
disruptive
technology on
the automotive
industry?
Frequency
a) Positive 55
b) Negative 15
Fig 3: Impact of disruptive technology.