Vidwan-ID : 519333 and 516998
- Prepare a research proposal first get its approval from the panel and guide and then only start writing for research paper.
- A research proposal is the mini part of Research paper
- Article writing is different from research paper.
- Basic
- Applied
- Action
- Philosophical
- Historical
- Survey
- Experimental
- Quantitative
- Qualitative
In the realm of academia, two key pillars of scholarly communication stand out: conference papers and research papers. While both serve as crucial avenues for disseminating knowledge and advancing the frontiers of research, they differ in their purpose, structure, and the manner in which they contribute to the academic discourse. In this comprehensive guide, we will explore the distinctions between conference papers and research papers to help researchers and students navigate the intricate landscape of academic publishing.
Conference Papers: Conference papers are often crafted with the primary aim of presenting preliminary findings or recent developments in a specific field. These papers act as a means for researchers to share their work with a broader audience, gather feedback, and engage in discussions with fellow scholars. The audience for conference papers includes attendees of academic conferences, where researchers from diverse backgrounds converge to exchange ideas and foster collaboration.Research Papers: On the other hand, research papers are more extensive and delve into comprehensive studies, presenting in-depth analyses of a particular research question or topic. These papers are typically intended for a more specialized audience, including scholars, students, and professionals with a keen interest or expertise in the subject matter. Research papers contribute significantly to the existing body of knowledge and are often published in academic journals.
Conference Papers: The timeline for conference papers is often more accelerated, reflecting the need to share recent findings promptly. Researchers may submit abstracts or short papers to conferences, and upon acceptance, they are given the opportunity to present their work. While conference papers provide an avenue for swift dissemination, they may lack the thoroughness and depth characteristic of research papers.Research Papers: Research papers undergo a more rigorous and extended development process. Researchers conduct extensive literature reviews, design comprehensive methodologies, and analyze data in-depth. The peer-review process associated with research paper publication ensures that the work meets stringent academic standards. Consequently, the publication of research papers is often a lengthier process, but the resulting contributions are more substantial and enduring.
Conference Papers: Conference papers typically have a concise structure, often limited to a specified number of pages or word count. They commonly include sections such as introduction, methodology, results, and conclusion. Due to the brevity required for conference presentations, details may be more focused on key findings rather than an exhaustive exploration of the topic.Research Papers: Research papers, in contrast, allow for a more extensive and detailed presentation of the research. They generally follow a standard structure, including abstract, introduction, literature review, methodology, results, discussion, and conclusion. The format adheres to the guidelines of the targeted journal, ensuring consistency across academic publishing.
Conference Papers: Conference papers contribute to the academic discourse by providing glimpses into emerging research. However, their impact may be more immediate, and citations may be less frequent compared to research papers. The influence of a conference paper often lies in its ability to spark discussions and collaborations within the academic community.Research Papers: Research papers, being more comprehensive and thoroughly researched, have a more enduring impact on the scholarly landscape. They are frequently cited by other researchers, contributing to the development of a robust academic conversation around the topic. Research papers play a pivotal role in shaping the trajectory of a particular field of study.
In summary, both conference papers and research papers play essential roles in the academic ecosystem, each serving a distinct purpose in the communication of scholarly work. Conference papers provide a platform for rapid dissemination and collaboration, while research papers offer a more in-depth exploration and contribute to the long-term development of knowledge within a field. Understanding the nuances between these two forms of academic communication is crucial for researchers and students seeking to navigate the dynamic landscape of contemporary academia.ReportThe central point of difference between both literary articles is their time frame. The time taken to frame both works is considerably different. A journal paper requires a short amount of writing time-based on the writer's expertise. A research article is written over a long period of time due to its extensiveness.
- Journal articles,
- books,
- conference papers,
- patents,
- research data
- and other materials
- The research process comprises classifying, leading, evaluating and investigating the data which is required to support your research questions followed by developing and expressing your ideas.
- Research is an inspired action done in a systematic way done by the researcher to intensity expertise.
- Research design is the conceptual framework of research
Evaluation = gives the answer of "How well we are doing? "
A DOI, or Digital Object Identifier, is a string of numbers, letters and symbols used to uniquely identify an article or document, and to provide it with a permanent web address (URL). A DOI will help your reader easily locate a document from your citation.
Answered by: Laura GalasEPUB is the standard file format for e-books that enables them to be downloaded and read on a number of devices. You can recognize an EPUB e-book by its file extension, .epub.An EPUB file may be used on a dedicated e-reader device or by installing an e-reader app or other software on your computer, smartphone, or tablet. A key feature of the EPUB format is that it is optimized for different devices and displays, making for a better reading experience.There are many ways to use an EPUB file. You will need to have one of the following:
- · A computer with reading software, such as Adobe Digital Editions, installed
- · An eReader that is compatible with the EPUB format, such as a Kobo
- · A smart phone or tablet with a reading app, such as Bluefire Reader, installed
- Zotero is free and open-source reference management software to manage bibliographic data and related research materials, such as PDF and ePUB files.
- Zotero is a free, open-source research tool that helps you collect, organize, and analyze research and share it in a variety of ways. Zotero includes the best parts of older reference manager software — the ability to store author, title, and publication fields and to export that information as formatted references — and the best aspects of modern software and web applications, such as the ability to organize, tag, and search in advanced ways.
- Zotero interacts seamlessly with online resources: when it senses you are viewing a book, article, or other object on the web, it can automatically extract and save complete bibliographic references. Zotero effortlessly transmits information to and from other web services and applications, and it runs both as a web service and offline on your personal devices
Research topic : Impact of Digital marketing in Education
sector
Engagement is crucial in the
education sector. Digital marketing tools like social media platforms
and email newsletters allow institutions to engage with students on a regular
basis. This engagement
fosters a sense of community and helps students stay connected with their
educational journey.
Based on the search results,
potential research topics for a Computer Science PhD focusing on digital
marketing in the education system in India could include: 1. The impact of
artificial intelligence applications in improving students' academic
achievements in computer programming. 2. Developing a personalized learning
system based on students' cognitive styles for digital marketing education. 3.
Investigating the environmental impacts of AI systems in the education sector.
4. Exploring the use of digital marketing strategies in computer science
education programs. 5. Analyzing the effectiveness of online learning
opportunities, case studies, and computer-based simulations in digital
marketing education. These topics align with the intersection of computer
science, digital marketing, and education systems, providing a comprehensive
research scope for a PhD candidate in this field
Based on the search results,
potential research topics for a Computer Science PhD focusing on digital
marketing and data analytics in the education system in India could include: 1.
The impact of data analytics on improving educational outcomes in the Indian
education system. 2. Utilizing digital marketing strategies to enhance student
engagement and enrollment in educational institutions in India. 3. Developing
AI applications for personalized learning experiences in Indian educational
settings. 4. Exploring the use of data science in optimizing educational
resource allocation in Indian schools. 5. Investigating the environmental
impacts of AI systems in educational technology. These research topics align
with the intersection of digital marketing, data analytics, and computer
science within the context of the education system in India. (Source: [4]
Systematic review of research on artificial intelligence applications, [7]
Artificial Intelligence Index Report 2023)
Selected topics : : 1. The impact
of data analytics on improving educational outcomes in the Indian education
system. 2. Utilizing digital marketing strategies to enhance student engagement
and enrollment in educational institutions in India.
Key links :
Zotero | Your personal
research assistant
Valuable
Resources For PhD Students Online PhD Degrees (online-phd-degrees.com)
Avoiding mistakes
Many articles try to take into
account the mistakes you can make, here are a few:
·
Boring papers: http://onlinelibrary.wiley.com/doi/10.1111/j.0030-1299.2007.15674.x/epdf
·
Avoiding mistakes: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474299/pdf/ijspt-07-518.pdf ; http://www.iemss.org/sites/iemss2012/images/WS_J2_Volk_Lautenbach_pdf.pdf
There are a lot of reasons why
an article can be rejected from a journal, here are exemples taken from the
publisher websites:
·
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3035881/pdf/JYPharm-2-3.pdf
·
https://www.elsevier.com/connect/8-reasons-i-rejected-your-article
Please share yours in the
forum!
Format and
Writing Readings
You will find below a
list of recommended readings about writing and publishing that academic paper.
Fussy Professor
Starbuck's Cookbook of Handy-Dandy Prescriptions for Ambitious Academic Authors
or Why I Hate Passive Verbs and Love My Word Processor – lots of clear, down to
earth advice on how to write and edit effectively
http://pages.stern.nyu.edu/~wstarbuc/Writing/Fussy.htm
First Aid for Writer’s
Block by Marcia Yudkin
http://www.yudkin.com/unblock.htm
APA Journals – links
to information on all the journals published by the American Psychological
Association. This information includes a description of the journal and
manuscript submission guidelines and an Author’s Corner
APA Guide to Preparing
Manuscripts for Journal Publication by Robert C. Calfee and Richard R. Valencia
http://www.apa.org/pubs/authors/new-author-guide.aspx
APA Style Tips –
includes links to some specific recommendations on style, and recommendations
on how to remove bias in language concerning disabilities, race &
ethnicity, and sexuality
http://www.apastyle.org/styletips.html
American Psychological
Association (APA) Ethics Code
How to Win Acceptances
by Psychology Journals: 21 Tips for Better Writing, R.J. Sternberg. APS
Observer, Sept. 1993. Available online at
http://www.csustan.edu/psych/todd/sternbrg.html
This very interesting series of papers providing advice for
publishing in the Academy of Management Journal :
June 2011: Jason A.
Colquitt, Gerard George.
Publishing in AMJ Part 1: Topic
Choice
August 2011: Joyce E.
Bono, Gerry McNamara.
Publishing in AMJ Part 2:
Research Design
October 2011: Adam M.
Grant, Timothy G. Pollock.
Publishing in AMJ Part 3:
Setting the Hook
December 2011: Raymond
T. Sparrowe, Kyle J. Mayer.
Publishing in AMJ Part 4:
Grounding Hypotheses
February 2012: Yan
(Anthea) Zhang, Jason D. Shaw.
Publishing in AMJ Part 5:
Crafting the Methods and Results
April 2012: Marta
Geletkanycz, Bennett J. Tepper.
Publishing in AMJ Part
6: Discussing the Implications
June 2012: Pratima
(Tima) Bansal, Kevin Corley.
Publishing in AMJ Part
7: What's Different About Qualitative Research?
Analysis
of Variance (ANOVA) Explanation, Formula, and Applications (investopedia.com)
Research
methodology MCQ’s Link :
40 MCQ on
Research Methodology (makemeanalyst.com)
Research
Methodology MCQ (Multiple Choice Questions) - JavaTpoint
PHD Action plan
1)
Prepare for entrance
2)
Crack the entrance
3)
Crack the interview
4)
Keep filling forms from other university too
5)
Follow up for ipu results
6)
Take admission
7)
Start course work
8)
Start writing papers
9)
Publish it in journal
10)
Make your course work as your research work and
publish it.
11)
Complete your PhD
12)
Enjoy the complete journey
13)
Show the world about your achievements
14)
Enjoy the fruits now!
15)
Always put Dr before your name
A
research problem is considered feasible when it can be studied and investigated
using appropriate research methods and resources.
Specifically for computer science, I
would suggest starting with any of the following publications: Always
ask the question, 'why should someone read your paper?'. Remember you are not
writing the paper for yourself, but for the world.
Journal of Computer Science and
Technology
http://www.springer.com/computer/journal/11390
International Journal on Computer
Science and Engineering (IJCSE)
http://www.enggjournals.com/ijcse/
Journal of Computer Science
www.thescipub.com/journals/jcs
These
are the journals I usually go to when I need published research with respect to
computer science and some software development issues, and they are connected
to societies that promote the computer science and computer engineering
discipline.
You can submit your
article in any popular publishers based on your interest and area of work. Some
of the trusted publishers are:
·
IEEE
·
ACM
·
Elsevier
·
Springer
·
Inderscience
There are many online
journals that publish original research articles in Computer Science and
Technology. Some of the most well-known and reputable journals in this field
include:
1. ACM Transactions on Computer Systems
2. IEEE Transactions on Computers
3. Journal of Computer Science and Technology
4. Journal of the ACM (JACM)
5. Communications of the ACM
6. IEEE Transactions on Software Engineering
7. IEEE Transactions on Information Theory
8. IEEE Transactions on Parallel and Distributed
Systems
9. The Journal of Machine Learning Research
10. The Journal of Artificial Intelligence
Research (JAIR)
These journals are
known for their high-quality research, and are often considered the most
reputable and influential journals in the field of computer science and
technology. Some of them have a high impact factor and acceptance rate, which
makes them a good choice for publishing research articles.
It's worth noting that
there are many more journals that publish research articles in computer science
and technology, and new journals are constantly emerging in this field. It's
always good to check the scope and focus of the journal before submitting your
research paper, and also to check the guidelines and submission process of the
journal.
You can choose
following Journal:
UGC-CARE listed
Journal
Scopus indexed
Impact factor journal
with indexing with reputed data base like Scopus, Embase, PubMed etc.
Most
top journal in the world are free, I suggest that you search a journal that are
suitable to you research , for example if you are in robotics there are RAS
journal, the only downside of free journal it take time to give you an answer.
I
recommend you to publish your research papers in i-manager publications. They
publish 28 academic journals in various streams. You can choose a journal of
your stream. They follow double blind peer review process and also publish
papers without charges.
By free, I presume
that you want to publish in journals that don't require a fee.
I suggest you to try
1. International Journal of Information
Technology and Computer Science(IJITCS) (Impact Factor 0.7)
2. Revue
Roumaine Des Sciences Techniques (Impact factor 1.036)
The latter is SCI
indexed
Revue
Roumaine Des Sciences Techniques (pub.ro)
Phdservices.org
Isrra.org
Ijcjournal.org
Open source frameword Osf.com
Journals serve as the primary medium through which scholars
present their most recent research. Thus, journals will give PhD students an idea of the most important
figures in their area of study or profession.
A candidate will complete
his Course Work of six months through intensive classes, assignments, review of literature, short studies
under the recognized Supervisor & Research Advisory Committee. After the completion of Course Work,
examination will be conducted by Examination section of the University.
The US company Verisign has been acting as
the domain registry since 2000. It looks after the administration and
registration for widely used domains such as .net and .com.
A trustworthy and
well-known domain extension indicates professionalism to your potential
customers. Although a TLD with an
international focus does not offer a direct SEO advantage, .com and .net
domains promote your website’s credibility and professionalism. The .net
domains are useful for companies who are targeting a multilingual audience.
Turning your coursework papers into
publishable articles
As a new PhD student, you're
still just learning the ropes.
choosing your paper
topics with care. You'll need them to make an original contribution, and that
means having a good grasp of the relevant literature, and doing a lot more
independent research for the papers.
You'll need to start
them early, and revise, revise, revise. Revise. And you'll need to have a good
sense of where to send them, what the norms are for that journal, etc. And all
that is a lot of work, especially for a new student who's still in coursework.
So don't beat yourself up if you don't get around to trying to publish them for
a few years. Coming back to the topic with fresh eyes and more experience will
make it much easier to see what work still needs to be done,
So I'd advise you to
take a long view. Try to come up with interesting and original ideas for your
papers, and do your best writing them. Then try to present them at conferences.
The feedback you get there will help you to determine whether it's worth
pursuing publication, and will give you a sense of what you need to do to get
there. Plus, it'll help you do some of the other stuff you need to do as a grad
student, and get you started on networking.
Conference PaperPDF Available
Impact of Digital Marketing on the Buying Behavior of
Consumer
·
January 2020
DOI:10.2991/aebmr.k.201205.060
·
License
·
Conference: 2nd International
Scientific and Practical Conference on Digital Economy (ISCDE 2020)
Authors:
Download
full-text PDFRead
full-text
Copy link
Figures
Figures - available via license: Creative Commons Attribution-NonCommercial 4.0
International
Content may be subject to copyright.
Discover
the world's research
·
25+ million members
·
160+ million publication pages
·
2.3+ billion citations
Public Full-text 1
Available
via license: CC BY-NC 4.0
Content
may be subject to copyright.
Impact of
Digital Marketing on the Buying
Behavior of
Consumer
Nazarov
A.D.
Ural
State University of Economics, Yekaterinburg 620144, Russia
*Corresponding author. Email:
nazarov_usue@mail.ru
ABSTRACT
Companies
devote huge amounts of money to create digital relationships with potential
customers. The article
explores
the task of promoting digital marketing and holistic marketing systems around
the world and in the
Russian Federation
today. The article identifies
the main trends
of development, digital marketing
tools,
examines marketing
solutions at different
stages of management
using information and
communication
technologies. The
author considers the
analysis of digital
marketing - the
transformation of consumer
behavior
under the influence of digital technologies and the current digital
environment. The basis for further
research on the
behavior of potential consumers
is being formed, which creates
contact paths during the
period of
creating a marketing strategy, as well as tactics where digital technologies
are quite powerful.
Keywords:
digital
marketing, internet marketing, behavioral factors, purchasing behaviour
1.
INTRODUCTION
Consumer
behavior is not well understood, but at the same
time, there is enough information about all
the possible
factors that can
affect him. For a clear understanding of
how the
consumer will behave in the network, you need to
see that
traditional sales methods do not work
here. The
favorable period
for consumers can
change due to
informational
political or cultural events - which
shift the
attention of the
consumer and for no explainable reason
reduce
the level of sales.
Consumer behavior
is influenced by a culture of
social
status, fashion,
information, product, price,
policy,
situation, ecology,
reference groups, brand,
need,
communication. Unlike offline customer behavior, which
is
already well studied, online companies need to develop
a unique
selling proposition and lead an A /
B test. The
slightest
change to a website, link, or any other digital tool
can
produce unpredictable results.
An important
point in e-commerce
is having a good
website through
which the bulk
of transactions go. To
increase
sales, you do not need to use standard methods of
attracting
customers (by increasing the advertising budget
or
reducing the price of a product). Sometimes it is enough
to
analyze the existing site and change the logic of use so
that the
information and content are relevant, and the user
can easily use
all the necessary built-in services for
the
convenient
purchase of your product. It is psychologically
easier
for a potential client to buy a tangible product. Often
in e-commerce,
you can find
on sites: various
online
excursions,
3D photos, an unlimited number of photos and
videos
with the proposed product to create visualization in
order to
demonstrate the relevance of the product for you.
The Internet market, along
with traditional goods, has a
unique specific
product called electronic,
digital, or
informational.
This includes electronic means of payment,
electronic
analogs of mass media, messages with quotes.
Various services
can be obtained
in digital format,
for
example: government
forms filled out
on special sites,
visits to
museums, galleries and other historical buildings
via the Internet.
A wide variety
of information products
are
provided via the Internet: tickets, coupons, certificates,
etc. Each
of these products requires customers. To get the
desired
customers, you need to not
only use all available
digital
acquisition tools but also know how to get the most
out of
their use.
2.
MATERIAL AND METHODS
In order
to effectively sell a product,
it is important to
understand
that the network must use a two-way learning
method.
On the one hand, the client visiting the site must
study the
desired product in detail, use the site intuitively,
and have
access to various payment and delivery methods
to
maximize the share of involvement
in the process. On
the other
hand, it is
important to create
a full-fledged
portrait
of our client for effective sales, track his behavior
and
actions.
For an
effective sale, you
need to know
the following
characteristics of
a potential client:
gender, age,
occupation,
personality type, lifestyle, motivation, beliefs,
moods,
relationships, the economic situation of the family.
3.
RESULTS AND DISCUSSIONS
By creating the
correct portrait of a potential buyer and
using
internal factors of consumer behavior, you can much
more
effectively redirect the flow of customers to the site.
Using Yandex.Metrica (Figure 1)
and Webvisor (Figure
2), you
can track user
actions on the
site, create a
convenient
service based on their general behavior.
Advances
in Economics, Business and Management Research, volume 156
2nd
International Scientific and Practical Conference on Digital Economy (ISCDE
2020)
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
This is
an open access article distributed under the CC BY-NC 4.0 license
-http://creativecommons.org/licenses/by-nc/4.0/. 364
Figure 1 Appearance of the
Yandex.Metrica web service
When working
with potential clients,
special attention
should be
paid to motivating
cost factors, which,
regardless of the
quality of the site, advertising, or
text,
cannot
influence the buyer. Every year,
incentives prevail
over
disincentives, but the percentage of
people who are
limited
in their ability to shop online is quite large.
Figure 2 Service for tracking behavioral factors
Yandex.Webvisor
The
motivating factor for buying online is
the following:
no
annoying sellers; wide range of; products are easier to
compare with
each other; the ability to purchase a product
that
is in short supply in
the retail segment; saving time;
opportunity to
save. As for
the restraining factors,
the
percentage
of buyers also has a
growth trend every year.
These
include: negative online shopping experience; fear
that the
price will be
higher than it
was originally
indicated;
the fear that the final cost of the
goods may be
higher
than in offline stores; fear for the safety of personal
Advances
in Economics, Business and Management Research, volume 156
365
funds in
the account when
paying online; fear
that the
goods may
be lost or damaged during the delivery period;
the
impossibility of inspecting the goods before purchase;
fear of
receiving a low-quality product.
The
Internet market is prone to potential customers and the
likelihood of
getting an inappropriate quality
product is
minimized.
Fierce competition with customer focus creates
additional services that
offer free return or
exchange of
goods, and
the main thing
is that the
user remains a
potential
customer of the store of his choice.
Compared
to the states of the post-Soviet space, Russia is
a clear
leader among the proposed product and in using all
kinds of
products to attract customers. Globally, however,
Russia
lags behind countries such as the United States and
Great
Britain. Although this is most likely
not a negative
phenomenon,
since these customers are still available for
business
on the network.
During the
pandemic, offline businesses
suffered heavy
losses,
as they had no connection with customers via
the
network. Online businesses also felt
a slight decrease in
the average
check, but in
the following months
of
quarantine,
the number of potential customers returned to
their
previous level, and those areas that were traditionally
used by
offline buyers began to be
actively used online.
These include:
home delivery of
food, large-sized
household
appliances, furniture.
To
achieve the desired results in sales, companies use all
digital technologies
available to them
with the help
of
which they
influence users anywhere.
Until 2010,
advertising and sale
of products took place on
websites,
until
2015 all companies and stores had their own trading
platforms in
social networks, today
they began to use
instant
messengers.
Why is it
so important to influence the consumer across all
digital
platforms? The reason is that the global
consumer
demand
trend is growing, and the consumer does not fully
know what
he needs. Only
people who are
directly
interested
in buying it can find the product for sale through
a search
on the Internet.
You can advertise
goods and
services to
certain users according
to certain criteria
in
social networks and
instant messengers. These users
are
looking for
the best deals
and are in
no rush to buy.
Messengers are
one of the
cheapest ways to
attract
customers through
a customer database.
It is also
important
to understand that the global trend is that social
networks
are in decline. Webindex researched among US
and UK users,
noted that 46% and
41% of respondents
deliberately
reduced the time they use social networks and
more than
30% of respondents said that they deleted their
accounts
in social networks to be less dependent on them.
The reasons
that influenced their
decisions were the
following:
users became not interested in looking
at what
other people
were doing and
found out that
social
networks are
a monotonous collection
of other people's
photos.
Users don't like addiction to social media and
the
excess of
advertising and sponsored content. The trends of
the
Western world come to us with a certain delay, but it is
noticeable that
more and more
users are switching
to
instant
messengers to maintain active communication with
their
loved ones and not waste time on useless information
and
advertising.
We are
not saying that social media will die or that people
will stop
using it, all
these markets are
still evolving.
Search
engines in 2020 are still the
largest marketplaces
with the
largest percentage of ad budgets. Companies also
give
preference to social networks, and only after that they
invest
resources in little-studied and not fully understood
messengers
as a means of attracting new customers.
Search networks and
social networks over the
period of
their existence
have created very
powerful and cheap
methods of
attracting and influencing
the consumer, in
contrast to
traditional methods of
advertising. Each
company that
owns a certain
number of users
has an
algorithm
that helps to promote in the network. Facebook,
for example,
has created an
algorithm that tracks
user
behavior: actions
on a page
and actions related
to a
smartphone. The
collected information is
segmented and
used to
effectively attract potential customers.
This
method allows the advertiser not only to set up geo-
targeting
ads but also the algorithm will select those users
who are
most similar to potential customers in their actions
and
behavior.
In order
to influence users
when working with
search
engines, dozens
of different services
are provided. The
most
popular are: Google Ads, Google
Analytics, Google
Search
Console, Yandex Webmaster, Yandex.Metrica, and
many other
services that are
aimed at maximizing
the
impact on
the consumer. Google services and Yandex are
similar in
creating contextual advertising,
Yandex.Webmaster and
Yandex.Metrica can be
called
unique
products. Yandex.Webmaster provides site owners
with an
opportunity to find and solve all kinds of problems
on the
site, and fix
them. Yandex.Metrica provides
an
opportunity to
assess the quality
of traffic, analyze
its
behavior.
I would
like to mark
the Webvisor in
Yandex.Metrica,
with the
help of it you can visually study the behavior of
users on
the site, see
with the help
of different colors
where
users can click or where they point the cursor, or
what
important places on the site they use. After that, you
can reconfigure the frontend of
the site to maximize the
efficiency of
each user who
comes to the
site. The
direction
of messengers is poorly understood, so the most
effectively researched
way to attract
customers is
advertising
on thematic channels or mailing.
4.
CONCLUSIONS
In 2020,
the growth of
users who use
voice assistants
began. Soon,
companies will spend a lot of money
not
only on
contextual advertising but also for their product to
be
indexed during voice search.
Advertising
departments use any channels through
which
you can
effectively influence the
consumer. A large
amount of
time spent by marketers is devoted to finding a
balance between
efficiency and advertising
costs. More
and more
often you can see creative viral videos, various
contests
that do not indicate the need for any product, but
Advances
in Economics, Business and Management Research, volume 156
366
as a result,
a user who sees the same company for a long
time
begins to think about the importance of purchasing a
product,
using the arguments that were imposed marketers
during
the period of the advertising campaign.
In the
21st century, digital
technology is a key
way to
promote
products. Advertising using digital technologies is
more effective
for business than
offline counterparts.
Online advertising
is much cheaper
and more
understandable in
terms of performance
than traditional
promotion methods.
Companies around the
world are
increasingly abandoning
advertising on television, radio,
banners,
preferring more complex but effective paths to a
potential client.
The best solution
today would be
advertising
on
a smartphone screen
rather than a huge
banner at the exit from the metro.
REFERENCES
[1] A. Amado, P. Cortez, P.
Rita, S. Moro, Research
trends on
Big Data in Marketing: A text mining and
topic
modeling-based literature analysis. European
Research
on Management and Business Economics, 24
(1)
(2018) 1-7.
[2] A.Y.L. Chong, E. Ch’ng, M.J. Liu, B. Li,
Predicting
consumer product demands via Big Data: the
roles of
online promotional marketing and online
reviews.
International Journal of Production Research,
55(17)
(2017) 5142-5156.
[3] B.J. Calder, E.C.
Malthouse, E. Maslowska, Brand
marketing,
big data and social innovation as future
research directions for engagement. Journal of
Marketing Management, 32 (5-6) (2016) 579-585.
[4] P. Ducange, R. Pecori, P. Mezzina, A glimpse on
big data
analytics in the framework of marketing
strategies,
Soft Computing, 22(1) (2018) 325-342.
[5] S. Jun, S. Park, D. Jang, A Technology Valuation
Model
Using Quantitative Patent Analysis: A Case
Study of
Technology Transfer in Big Data Marketing.
Emerging
Markets Finance and Trade, 51(5) (2015)
963-974.
[6] A.N. Greco, C.G. Aiss,
University presses in the
twenty-first
century: The potential impact of big data
and
predictive analytics on scholarly book marketing,
Journal
of Scholarly Publishing, 46(2) (2015) 105-140.
[7] P. Chintagunta, D.M.
Hanssens, J.R. Hauser,
Marketing
science and big data. Marketing Science, 35
(3) (2016) 341-342.
[8] C. Donnelly, G. Simmons, G. Armstrong, A.
Fearne,
Digital loyalty card ‘big data’ and small
business
marketing: Formal versus informal or
complementary?
Int. Small Business Journal:
Researching
Entrepreneurship, 33 (4) (2015) 422-442.
[9] K.Y. Kim, Business
intelligence and marketing
insights
in an era of big data: The q-sorting approach.
KSII
Transactions on Internet and Information Systems,
8(2)
(2014) 567-582.
[10] S. Motamarri, S. Akter, V.
Yanamandram, Does
big data
analytics influence frontline employees in
services
marketing? Business Process Management
Journal,
23 (3) (2017) 623-644.
[11] D.M. Nazarov, E.K. Fitina, A.O. Juraeva, Digital
economy
as a result of the genesis of the information
revolution
of society. Proceedings of the 1st
international
scientific conference modern management
trends
and the digital economy: from regional
development
to global economic growth (MTDE 2019).
Inst Int
Relat, Yekaterinburg, Russia, 87 (2019)
351-
356
[12] J. Pridmore, L.E.
Hämäläinen, Market
segmentation
in (in) aetion: Marketing and 'yet to be
installed'
role of big and social media data, Historical
Social
Research, 42 (1) (2017) 103-122.
[13] C.G. Jobs, S.M. Aukers,
D.M. Gilfoil, The impact
of big
data on your firms marketing communications: A
framework
for understanding the emerging marketing
analytics
industry, Academy of Marketing Studies
Journal,
19 (2) (2015) 81-92.
Advances
in Economics, Business and Management Research, volume 156
367
Citations
(3)
References
(12)
... Robul (2020) examined digital
marketing as a system, with feeds, outputs, and levels of structure as its main
components. Faster adoption of online platforms by consumers for regular
shopping has expedited companies' efforts to invest in and expand online marketing (Nazarov,
2020). In this scenario, the researcher made an attempt to explore the factors
influencing people to use digital platforms for shopping. ...
Factors Influencing Digital
Marketing in Bhadrak District of Odisha
Article
·
Sep 2023
Show abstract
The Impact of Digital Marketing
Management on Customers Buying Behavior: Case Study of Soran City
Article
Full-text available
·
Jan 2024
Show abstract
IMPACT OF DIGITAL MARKETING
CHANNELS ON CONSUMER BEHAVIOR
Article
Full-text available
·
Jan 2023
Show abstract
Recommended
publications
Conference Paper
Full-text available
January 2019
Research
Full-text available
Transforming Marketing with
Artificial Intelligence
July 2020
Marketing has become complex in the last one decade with the
introduction of Artificial Intelligence. Artificial Intelligence Marketing is a
technique of optimally utilizing technology to enhance customer's experience.
In recent times it becomes really important for the companies to recognize and
understand customer needs and their expectations in terms of products as well
as services. With the ... [Show full abstract]
Chapter
Full-text available
PAZARLAMA ZEKASI BAĞLAMINDA
BÜYÜK VERİ VE SOSYAL MEDYA PAZARLAMASI
March 2022
Sosyal medya ile beslenen büyük veri neticesinde bugün
siyasetçilerden ünlülere, spor kulüplerinden şirketlere kadar hemen her kesim
“veri nehri” içerisinde “pazarlama altını” aramaktadır. Söz konusu altını
bulmak için ilgili tarafların ihtiyaç duyduğu kişi “pazarlama gurusu” değil,
gerçek bir bilim adamıdır (Advertising Age, 2012). Pazarlama bilimi içerisinde
veri işleme, karar vermede önemli ... [Show full abstract]
Article
Full-text available
December
2023 · AGRIEKSTENSIA
·
Kumbara
ABSTRAK Upaya peningkatan ekonomi pelaku UMKM dapat
dilakukan melalui pemahaman ekosistem digital yang mencakup konektivitas
digital hingga tertuju pada pembinaan digital. Tujuan penelitian antara lain,
untuk menganalisis fakta lapangan pemasaran produk UMKM melalui digital
marketing, membuat konsep rancangan platform digital marketing, menganalisis
SWOT dalam implementasi digital marketing pada ... [Show full abstract]
https://docs.google.com/spreadsheets/d/1j50Vxgahhq1zuw1J-j9Qx-gyXNCTLxSVwtaAWMXlQm0/edit#gid=0
Using
Natural Language Processing (NLP) in Digital Marketing (youtube.com)
my dashboard on Miro for mind mapping Miro | Visual Workspace for Innovation
Revolutionize
Your Digital Marketing with ChatGPT and NLP and Increase Profits! (youtube.com)
3 NLP
Secrets To Instantly Increase Sales (youtube.com)
For digital marketers, NLP
is invaluable as it helps them access the best of their audience's data, preferences,
interests, and habits. Digital Marketers would like to retain positive long
customer relations with the help of NLP, where the machine learns and updates
itself via real-time interactions with consumers.
For digital marketers, NLP
is invaluable as it helps them access the best of their audience's data, preferences,
interests, and habits. Digital Marketers would like to retain positive long
customer relations with the help of NLP, where the machine learns and updates
itself via real-time interactions with consumers.
How is NLP used in
digital marketing?
NLP has transformed the digital marketing landscape
by enabling businesses to harness the power of language
processing in AI.
From social media marketing to SEO and email marketing, NLP offers a range of
applications that can enhance customer engagement, improve targeting, and drive
better marketing results.
What is the
application of NLP in e commerce?
It can search for words and
phrases that can analyze customers' opinions on a certain product. NLP can identify
emotions like happy, sad, or angry, and can categorize them as neutral,
negative, or positive. By analyzing customers' sentiment, companies can have a
better understanding of what the market needs.
What is NLP in content
marketing?
Natural Language Processing (NLP) offers a
solution by examining your current content, your competitors' content, and your
audience's preferences. NLP tools can extract keywords, topics, questions, and
trends from diverse sources, providing valuable inspiration for your content
creation.26 Oct 2023
What are the four
applications of NLP?
Here are a few
prominent examples.
·
Email filters. Email
filters are one of the most basic and initial applications of NLP online. ...
·
Smart assistants. ...
·
Search results. ...
·
Predictive text. ...
·
Language translation.
...
·
Digital phone calls.
...
·
Data analysis. ...
·
Text analytics.
·
Why is NLP important in marketing?
·
NLP also helps
marketers understand customers' thoughts and intentions by analyzing their conversations
and the webpages they viewed.
Explore more at : Application
of NLP on digital marketing in India - Google Search
Must read
Cogent
| Blog | How NLP helps in Digital Marketing? (cogentinfo.com)
The
Effects of Natural Language Processing (NLP) on Digital Marketing
(singlegrain.com)
How NLP
(Natural Language Processing) Impacts Digital Marketing (rockcontent.com)
The
Main Impact of NLP on Digital Marketing (technologycounter.com)
How Natural
Language Processing Affects Digital Marketing (neilpatel.com)
What
Is Natural Language Processing's Impact on Marketing? (cmswire.com)
The
Impact of NLP on Digital Marketing - DMG World Media
Natural
Language Processing (NLP) & its Implementation in Digital Marketing | DADE
(digifine.in)
How
NLP is going to change the face of Digital Marketing (newgenapps.com)
How
NLP is going to change the face of Digital Marketing (newgenapps.com)
5
Ways Natural Language Processing (NLP) Is Changing Digital Marketing
(marketingaiinstitute.com)
NLP
in SEO: Transformative Trend - SRV Media
Four Ways
Natural Language Processing Will Change Your Marketing - Relationship One
How
Digital Marketers Can Use NLP to Improve Customer Experience - Oncrawl -
Technical SEO Data
7
Game-Changing NLP Applications to Transform Your Business | Softude
Game
Changers of the Business World- AI, NLP, and ML - Great Learning (mygreatlearning.com)
Why
AI is a Game Changer in the Digital Marketing Industry (codedesign.org)
AI
in Digital Marketing: A Game Changer | LinkedIn
Statistical methods are used in a wide variety of applications across different fields.
Here are some examples of Science and Engineering:
Designing experiments: Statistical methods are used to design experiments that are efficient and provide reliable results. For example, they can be used to determine the appropriate sample size, control for confounding variables, and analyze the results.
Analyzing data: Statistical software is used to analyze data from experiments and observations. This can include calculating summary statistics, fitting models to data, and testing hypotheses.
Quality control: Statistical methods are used to monitor and improve the quality of products and processes. This can involve using statistical process control (SPC) charts to track variation in quality and identify areas for improvement.
Business and Finance:
Market research: Statistical methods are used to collect and analyze data about markets and consumers. This information can be used to develop marketing strategies, identify new product opportunities, and make pricing decisions.
Risk management: Statistical methods are used to assess and manage financial risk. This can involve using statistical models to estimate the probability of different events, such as defaults on loans or changes in interest rates.
Fraud detection: Statistical methods are used to detect fraudulent activity, such as credit card fraud or insurance fraud. This can involve using statistical models to identify patterns in data that are indicative of fraud.
Healthcare and Medicine:
Clinical trials: Statistical methods are used to design and analyze clinical trials of new drugs and treatments. This can involve using statistical models to assess the effectiveness and safety of new treatments.
Epidemiology: Statistical methods are used to study the distribution and causes of diseases. This can help to identify risk factors for disease and develop public health interventions.
Medical imaging: Statistical methods are used to analyze medical images, such as X-rays and MRIs. This can help to diagnose diseases and track the progress of treatment.
Social Sciences and Education:
Surveys: Statistical methods are used to design and analyze surveys of populations. This can be used to collect data on a variety of topics, such as public opinion, voting behavior, and health outcomes.
Educational research: Statistical methods are used to evaluate the effectiveness of educational programs and interventions. This can help to identify what works and what doesn't in education.
Public policy: Statistical methods are used to inform public policy decisions. This can involve using statistical models to estimate the costs and benefits of different policies.
Here are some popular statistical softwares used in various applications:
SPSS: A widely used software for general statistical analysis, especially in social sciences. https://www.dummies.com/article/technology/software/other-software/how-to-start-spss-statistics-142063/
Stata: A powerful software for statistical analysis, data management, and graphics. https://en.wikipedia.org/wiki/Stata
SAS: A comprehensive software suite for statistical analysis, data management, and business intelligence. https://www.sas.com/en_in/software/how-to-buy.html
R: A free and open-source software for statistical analysis and graphics. https://www.siue.edu/~jpailde/Intro_to_R.html
MATLAB: A powerful software for numerical computing and data visualization, with capabilities for statistical analysis. https://researchcomputing.princeton.edu/external-online-resources/matlab
JMP: A user-friendly software for statistical analysis and data visualization, designed for scientists and engineers. https://www.jmp.com/en_in/download-jmp-free-trial.html
Python: A general-purpose programming language with extensive libraries for statistical analysis and data science. https://www.freecodecamp.org/news/the-best-way-to-learn-python-python-programming-tutorial-for-beginners/
Excel: A spreadsheet program with basic statistical functions, widely used for data analysis and visualization. https://www.microsoft.com/en-us/microsoft-365/excel
SQL: A database query language used to extract and manipulate data from databases, often used in conjunction with statistical software. https://www.devart.com/dbforge/sql/
The choice of which statistical software to use depends on a variety of factors, such as the specific needs of the project, the budget, and the level of expertise of the users.
key links
Ethics publication good playlist
Research publication Ethics Fantastic video video for better understanding
https://www.youtube.com/watch?v=cdTieql5xH4
https://ethicsunwrapped.utexas.edu/glossary/moral-philosophy
https://www.discoverphds.com/blog/types-of-research
https://ethicsunwrapped.utexas.edu/glossary/moral-philosophy
https://www.youtube.com/watch?v=_8R6ScVauXQ
Departmental Research
Committee (DRC) in PhD
The Departmental Research Committee (DRC) is a crucial body
in many universities responsible for overseeing the research activities of PhD
students within a specific department. Its primary roles include approving
research proposals, monitoring progress, and ensuring that the research
conducted meets academic standards.
Functions of the DRC
1. Proposal Approval: Review and approve research proposals
submitted by PhD candidates.
2. Progress Monitoring: Regularly assess the progress of
ongoing research projects.
3. Examinations and Evaluations: Organize and conduct
preliminary and final examinations of the research work.
4. Advisory Role: Provide guidance and support to PhD
candidates throughout their research.
5. Conflict Resolution: Address any issues or conflicts
between the student and their supervisor.
Qualifying as a PhD
Candidate for DRC
To qualify as a PhD candidate and gain approval from the
DRC, you generally need to follow these steps:
1. Meet Eligibility Criteria:
- Hold a relevant
master's degree or equivalent qualification.
- Meet any specific
grade or GPA requirements set by the university.
2. Entrance Exam:
- Pass the
university's PhD entrance exam or any other standardized test required.
3. Research Proposal Submission:
- Prepare a
detailed research proposal outlining your research objectives, methodology,
literature review, and expected outcomes.
- Submit the
proposal to the DRC for review.
4. Interview and Presentation:
- Present your
research proposal to the DRC.
- Attend an
interview where committee members may ask questions to assess the feasibility
and significance of your research.
5. Approval from Supervisor:
- Obtain approval
from your designated PhD supervisor, who may need to endorse your research
proposal before submission to the DRC.
6. Registration and Enrollment:
- Complete any
additional registration or enrollment processes required by the university
after receiving approval from the DRC.
7. Continuous Assessment:
- Maintain
satisfactory progress in your research, as monitored by regular reports and
presentations to the DRC.
- Participate in
seminars, workshops, and other academic activities as required by the DRC.
Tips for Successfully
Qualifying
- Prepare Thoroughly: Ensure your research proposal is
well-researched, clearly written, and includes all necessary components.
- Seek Guidance: Regularly consult with your supervisor and
other faculty members for feedback on your proposal and progress.
- Stay Informed: Keep up-to-date with the DRC's requirements
and timelines to avoid any delays in the approval process.
- Demonstrate Commitment: Show your dedication to your
research topic through your proposal and interactions with the DRC.
Qualifying as a PhD candidate involves meeting academic
standards, preparing a compelling research proposal, and gaining approval from
the DRC through a structured process.
No comments:
Post a Comment
If you have any query or doubt, please let me know. I will try my level best to resolve the same at earliest.