SBM1300 Research Project: Electric Vehicle Impact in NSW

This research proposal investigates the impact of electric vehicles (EVs) on the transportation management system in New South Wales (NSW), specifically focusing on Sydney's logistics. The study aims to understand the influence of EVs on the NSW transportation system, describe the main purposes for which EVs are used, and examine their effects on supply chain logistics. The research employs an exploratory research design with a deductive approach, utilizing a realism and pragmatism research philosophy. Data collection methods include secondary data from literature reviews and primary data through surveys and interviews with industry professionals. Quantitative methods, including SPSS and Excel for correlation analysis, are used to analyze the data. The research addresses the research gap by providing data on EVs in logistics management and adopts a quantitative approach. The study also addresses ethical considerations such as full disclosure, confidentiality, and transparency. The research questions explore the reasons for EV adoption and their effect on logistics, with the findings expected to support companies in implementing EV policies and improving sustainability practices. The study uses references from recent scholarly articles to support its claims. The research is a part of the SBM1300 Research Project, which focuses on research methodology and data analysis important for business and project management.

“IMPACT OF ELECTRIC
VEHICLE IN NEW SOUTH
WALES (NSW)
TRANSPORTATION
MANAGEMENT SYSTEM"

INTRODUCTION
 Electric vehicle also used in
conducting logistics activities
 Reducing CO2 emissions and is
cost efficient (Chen et al., 2017)
 Supports in gaining competitive
advantage
 Reduce the health related risk
 Used in implementing the

RESEARCH BACKGROUND
 The research topic is “Impact of
electric vehicle in New South Wales
(NSW) transportation management
system: A Case of Sydney”.
 Research will give data about
electric vehicle on logistics
management activities.
 Research can contribute to provide
benefits in improving the distribution

OBJECTIVES & IMPORTANCE
Main Objectives
 To understand “the influence of electric vehicle on NSW
transportation management system”.
Other Objective
 To describe “the main purpose for which electric vehicle
is used”
 To examine “the effect of electric vehicle on
management of logistics pertaining to supply”
Importance
 Support the companies to implement policies for using
electric vehicle
 Can help companies to improve their sustainability
practices (Houshmand & Cassandras, 2018)

EVIDENCE OF LITERATURE
REVIEW
 Reduce cost and more
environmental friendly than
conventional vehicle
 Reduce the risk of health problems
due to fire and exposure
 Increase customer loyalty and save
time
 Improve operational activities
 Supports in strategic planning and

FEASIBILITY OF RESEARCH
QUESTION
 Describe main reason of using
electric vehicle
 Support different companies to
adopt electric vehicle in
transportation
 The logistics activities is related to
the transportation system
 Provide information about the role of
electric vehicle in the logistics

RESEARCH
GAP Not provide data regarding
electric vehicle in logistics
management
 Does not adopt quantitative
approach
 Present research will address
these aspects
 Focus on finding electric vehicle

CONCEPTUAL FRAMEWORK

RESEARCH QUESTIONS
Research questions
 Describe the major reasons for which the electric
vehicle is adopted?
 What is the effect of electric vehicle on the
logistics management pertaining to supply?
Application of the questions
 Selected because electric vehicle is elated with the
sustainability and improve operational activities,
for which effect of this on the logistics
management is focused.
 Reasons support in understanding the benefits of
electric vehicle.

RESEARCH METHODOLOGY
AND DESIGN
Research design
 Exploratory research design- Helps in
exploring new aspects of the proposed
topic
Research Approach
 Deductive approach- Helps in
determining the maintaining the validity
of the information.
Research Philosophy
 Realism and pragmatism research

RELATIONSHIP BETWEEN VARIABLES
AND RESEARCH QUESTIONS
 Relation among variables, research question
and hypothesis
 Logistics activities is related with transporting
the goods from one place to another.
 The independent variables such as
environmental practices, operational activities
and logistics activities which is directly with
the transportation.
 This helps in achieving the objective of the
topic by describing the various themes of the
proposed research area.

ETHICAL CONSIDERATION
 Full disclosure
 Participants will not harmed in any
manner
 Confidentiality and privacy is
maintained
 Openness and carefulness in
collecting the information is managed
 Other principles such as honesty and
transparency are also maintained.

DATA COLLECTION& ANALYSIS
Data collection
Secondary method
 Literature review is used in which articles are selected from Google
Scholar which all are of the current year.
Primary method
 Survey method in which questionnaire is distributed via e-mail
 Interview method to take the response from the respondents through
personally contacting them so that their perception regarding the
subject matter is revealed.
Sample size
 Survey Method- 20 employees from companies from logistics and
transportation industry in NSW.
 Interview- 5 logistics and transportation industry representative in
NSW
Sampling Technique
 Simple random sampling technique

TOOLS AND TECHNIQUES
 The quantitative method will be
used
 SPSS software and excel will be
used for coding of data
 Correlation analysis method to
identify the effect of electric
vehicle with the logistics
management

CODING OF
DATA Converting the non-numeric data
with numeric data
 Converting demographic and
other information in numeric data
 Supports in giving adequate
information
 Maintaining validity
 Coding is done of all the factors

REFERENCES
 Morrison, G., Stevens, J. & Joseck, F., 2018.
Relative economic competitiveness of light-duty
battery electric and fuel cell electric vehicles.
Transportation Research, 87, pp.183-96.
 Tian, J., Tong, J. & Luo, S., 2018. Differential
steering control of four-wheel independent-drive
electric vehicles. Energies, 11(11), p.2892.
 Li, W., Long, R., Chen, H. & Geng, J., 2017. A
review of factors influencing consumer intentions
to adopt battery electric vehicles. Renewable and
Sustainable Energy Reviews, 78, pp.318-28.