Big Data Analysis for E-commerce and Online Marketing: A Literature Review

Literature Review (Secondary Research) Template
Student Name & CSU
ID
Sri Tarun Biradavolu & 11613776
Project Topic Title Big data analysis for e-commerce and online marketing
1

Version 1.0 _ Week 1
1
Reference in APA format Huang, Y., Porter, A. L., Cunningham, S. W., Robinson, D. K., Liu, J., & Zhu, D. (2017). A
technology delivery system for characterizing the supply side of technology emergence: Illustrated for
Big Data & Analytics. Technological Forecasting and Social Change.
URL of the Reference Authors Names and Emails
and Level of Journal (Q1, Q2, …Qn)
Keywords in this Reference
https://ac-els-cdn-
com.ezproxy.csu.edu.au/
S0040162517311927/1-s2.0-
S0040162517311927-main.pdf?
_tid=spdf-7eab9429-ae15-46d4-8901-
88c19e268df0&acdnat=1519846904_d
ad5549385136c8376a5e7155a28ef40
Ying Huang, Alan L. Porter, Scott W.
Cunningham, Douglas K.R. Robinson,
Jianhua Liu, Donghua Zhu
Level of Journal - Q1
Technology delivery system
Tech mining
Emerging technology
Big Data
Technology assessment
Impact assessment
The Name of the Current Solution
(Technique/ Method/ Scheme/
Algorithm/ Model/ Tool/ Framework/
... etc )
The Goal (Purpose) of this Solution &
What is the Problem that needs to be
solved
What are the components of it?
Technology Delivery System
Methodology using the field of Big
Data Analysis
Authors' objective of this research is to
provide a promising chain-link to supply
side of innovation. Prime intent of the
work is to align the non-linearity in
breakthrough innovation between
producers and users.
Society or public is the primary component of this model
that would be initially impacted by the technology; the
second component of this model is government, which
represents the wellbeing of the public; the third
component is industries or commerce that endow with
2

1. Technological development in supply
chain takes place through highly complex
socio-economic systems which are also
marked by several factors such as
regulation and marketing. Socio-economic
change associated with complex
technology becomes a thorny process for
decision makers, so the author is trying to
solve these problems efficiently.
2. Supply chain could be easily managed
through the Big Data Analytics. This is
used to analyse the bulk and heavy data
efficiently and manage the customer needs
and expectations efficiently. For instance,
e-commerce, traditional data analytics
could not be able to handle heavy traffic
and data easily, in this scenario Big Data
Analytics could be used.
TDS method is illustrated through BDA.
the engine for technological development.
The Process (Mechanism) of this Work; Means How the Problem has Solved & Advantage & Disadvantage of Each Step in This Process
Process Steps Advantage Disadvantage (Limitation)
1 Identifying the macroeconomic and policy
environment which embraces market
competition financial investment ad
company policies.
Overall aspects of the study could be
identified through this process and will
emerge with value chain.
This is one of the typical processes that
consume time.
3

2 Specification of key public and private
institutions.
This step parts an imperative role to
identify the main actors from the supply
chain.
NA
3 Addressing the core technical apparatus and
their owners.
This step provides a close eye on
stakeholders
NA
4 The depiction of the market prospects and
assessment of technological variations and
profound influences.
Helps to develop more insights on market
progressions.
NA
Major Impact Factors in this Work
Dependent Variable Independent Variable
Macro environment Policy documents, trend analysis, Literature review affects the macro
environment.
Supply chain Technological developments may affect the supply chain
Input and Output A feature of This Solution Contribution & The Value of This Work
Input Output
Data resources; this
embraces several
Technology
management and
The research illuminates the TDS technology
by using Big Data Analytics. Big Data
Analytics helps to manage the supply chain
efficiently especially in the field of e-
The author successfully developed valued
insights on in several ways. The work
developed a narrow technological focus on the
subject. Apart from the ongoing subject, author
4

things like policy
documents, funding
archives,
commercial data,
legal documents
etc.; Several
analyses are also
required as an input
for this model
which include
policy environment
analyses, funding
analysis etc.;
Candidate tools
such as trend
analyses and
literature reviews
are also required.
identification of
innovation. Better
decision making and
efficient supply
chain with the help
of big data analysis.
Enhanced
technological
development
processes.
commerce. The research was successful in
covering some of the narrow aspects of the
topic.
enveloped some other areas such as TDS model
for solar energy development.
1. what is the method could have been
better?
2. what in the author analyses were
missed?
3. was there a technique that could have been
used or a question that could have been
asked, that the researchers did not use or
ask?
The technological focus was too narrow, it
could have been much easier if the author
tried to make the method much easier though
easy presentation.
More insights on e-commerce could have
been covered because it is playing one of the
major roles in this present era. The author
could have covered more areas about BDA
and BDA in e-commerce as well.
Questions about Big Data Analytics and e-
commerce should have been covered in the
topic, which could have helped to generate
more approaches on the subject.
5

4. were the conclusion justified and How? Analyse This Work By Critical Thinking The Tools That Assessed this Work
The conclusion was justified because it
endowed with appropriate clarification about
the model and it also illuminated on all the
aspects of the subject as well.
1. Technology delivery system is the best
solution for the problem because it provides a
promising chain-link approach to the supply
side of innovation.
2. The research could have covered more
aspects on BDA, because it is also an
imperative topic that is primarily used to
manage bulk data with heavy traffic,
especially in e-commerce.
Candidate tools were used to carry out analyses
such as tech mining, social network analysis,
trend analysis etc.; Commercial data were used
as data resources.
Diagram/Flowchart
6

Figure 1: The TDS for BDA
7

2
Reference in APA format Kshetri, N. (2016). Big data’s role in expanding access to financial services in China. International
journal of information management, 36(3), 297-308.
URL of the Reference Authors Names and Emails
and Level of Journal (Q1, Q2, …Qn)
Keywords in this Reference
https://ac-els-cdn-
com.ezproxy.csu.edu.au/
S0268401215301456/1-s2.0-
S0268401215301456-main.pdf?
_tid=spdf-ae23305a-8a45-42f4-abc0-
1cbbba0cf537&acdnat=1519855422_5e
2e21f77d361cb652af93df2ae1d9b8
Nir Kshetri
Level of Journal - Q1
Big data
China
Creditworthiness
Emerging economies
Information opacity
Internet of things
Shadow banking
The Name of the Current Solution
(Technique/ Method/ Scheme/
Algorithm/ Model/ Tool/ Framework/
... etc )
The Goal (Purpose) of this Solution &
What is the Problem that needs to be
solved
What are the components of it?
Online financial services using Big
Data Analytics.
Problem: General business or finance
companies usually do not provide loans or
any other financial facilities to low-income
families or micro enterprises
Data Source is one of the prime components of this
model; Market trends and preferences are also
imperative components of the proposed model.
8