International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 4, June 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
A Review on the Impact of Artificial Intelligence and
Internet of Things in the Transformation of E-Business Sector
Neha Bhujbal1, Prof. Shrikant Nagure2
1Student, 2Faculty
1,2Department
of Department,
of Computer Engineering, R.M.D. Sinhgad School of Engineering, Warje, Pune, Maharashtra, India
How to cite this paper: Neha Bhujbal |
Prof. Shrikant Nagure "A Review on the
Impact of Artificial Intelligence and
Internet of Things in the Transformation
of E-Business Sector"
Published
in
International Journal
of Trend in Scientific
Research
and
Development
(ijtsrd), ISSN: 2456IJTSRD31305
6470, Volume-4 |
Issue-4, June 2020, pp.965-966, URL:
www.ijtsrd.com/papers/ijtsrd31305.pdf
ABSTRACT
This study investigates the affect of Artificial Intelligence (AI) and Internet of
Things (IoT) in the transformation of E-Business Segment. AI and IoT are
starting to shape the longer term of many industries universally by creating an
unprecedented amount of information. The objective of this study isn't to
reproduce tests, but to explore and quantify the affect AI and IoT has within
the transformative process of alter within the E-Business segment. This
ponder utilized a qualitative inquire about approach and information was
collected through a orderly writing audit utilizing the snowballing look
strategy. 18 peer looked into papers were identified and analyzed in
connection to their pertinence to the study.
KEYWORDS: Artificial Intelligence, Internet of Things, E-Business, Fourth
Industrial Revolution
Copyright © 2020 by author(s) and
International Journal of Trend in Scientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the
Creative
Commons Attribution
License
(CC
BY
4.0)
(http://creativecommons.org/licenses/by
/4.0)
INTRODUCTION
Artificial Intelligence (AI) and Internet of Things (IoT)
concepts are changing each walk of life. In the age of data
these concepts proceed to affect on the trade scene. The
changes of modern technologies, mobile and web are
changing the business space, while on the other hand
money related emergencies and economic developments,
bolstered with the changing needs and behaviors of clients
are still laying enormous weight on the world financial
matters and on nations and their budget deficits.
There is a huge change within the operation of commerce
of any unused sort which is alluded to as e-business which
largely contains e-signature, e-invoicing, e-commerce,
internet, mobile keeping money and e-payments making
productivity in corporate and individual life. This study
centers on the impact that AI and IoT have on the ebusiness (e-commerce) sector.
Artificial Intelligence is a wide-ranging tool that enables
people to rethink how we integrate information, analyze
data, and use the resulting insights to improve decisionmaking. Whereas on the other hand, the IoT may be a
novel paradigm that is too rapidly gaining force around
the world. In a perfect world, the concept is that the
pervasive presence around us is of a assortment of things
or objects such as tags, sensors, actuators and portable
phones which, through unique tending to plans, are able to
@ IJTSRD
|
Unique Paper ID – IJTSRD31305
|
connected with each other and participate with their
neighbors to reach common goals. Right now there are 9
billion interconnected gadgets and the number is
anticipated to reach 20 billion gadgets by 2020.
PROBLEM STATEMENT
The objective of this study is to get to the challenges and
impacts of AI and IoT in the transformation of the e-business
sector employing a systematic review investigate approach.
AI and IoT in e-business are utilized a lot. It is predicted that
by 2020, over 80 % of all client intelligent will be handled by
AI. These trending concepts are disturbing traditional
business hones and rendering them out of date. In case
business ready for these fasting coming developments? An
impact analysis of these concepts has not however
completely realized. The disruptive control of the AI and IoT
is changing the e-business segment. The rise of AI and IoT
has settled with significant affect over the globe particularly
within the world of retail both online and the brick-andmortar world. The e-business space’s victory is reliable on
the conveyance of an enhanced positive and steady client
involvement.
LITERATURE REVIEW
In 2018, West, D. and Allen, J., in “How artificial
intelligence is transforming the world” discussed about
Volume – 4 | Issue – 4
|
May-June 2020
Page 965
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
AI's application across a variety of sectors, address issues
in its development, and offer recommendations for getting
the most out of AI while still protecting important human
values [1].
In 2013, Shukla Shubhendu, S. and Vijay, J., in
“Applicability of artificial intelligence in different fields of
life.” highlighted the features of Artificial Intelligence (AI),
how it was developed, and some of its main
applications.[2]
In 2017, Makridakis, S., in “The forthcoming Artificial
Intelligence (AI) revolution: Its impact on society and
firms.” concluded that significant competitive advantages
will continue to accrue to those utilizing the Internet
widely and willing to take entrepreneurial risks in order to
turn innovative products/services into worldwide
commercial success stories. The greatest challenge facing
societies and firms would be utilizing the benefits of
availing AI technologies, providing vast opportunities for
both new products/services and immense productivity
improvements while avoiding the dangers and
disadvantages in terms of increased unemployment and
greater wealth inequalities.[3]
In 2013, O'Leary, D.E., in “Artificial intelligence and big
data” examined some of the basic concerns and uses of AI
for big data (AI has been used in several different ways to
facilitate capturing and structuring big data, and it has
been used to analyze big data for key insights).[4]
In 2001, Liao, Z. and Cheung, M.T., in “Internet-based eshopping and consumer attitudes: an empirical study”
analysed consumer attitudes towards Internet-based eshopping. It aims to provide a theoretically and
empirically grounded initial reference position, against
which later research can explore and interpret the effects
of changes in variables representing consumer
preferences and shifts in these preferences on the success
or failure of B2C e-commerce over the Internet.[5]
In 2016, ] Cui, X., in “The internet of things. In Ethical
Ripples of Creativity and Innovation” stated the current
and future use of the Internet of Things by the global
business community.[6]
In 2012, Xia, F., Yang, L.T., Wang, L. and Vinel, A., in
“Internet of things” focused on the latest results in the area
of IoT.[7]
In 2007, Xirogiannis, G. and Glykas, M., in “Intelligent
modeling of ebusiness maturity” established generic
adaptive domains – maps in order to implement the
integration of hierarchical FCMs into e-business strategy
formulation activities. Finally, and discussed the
experiments with the proposed mechanism and comments
on its usability.[8]
METHODOLOGY
This current investigate consider utilized a precise
literature review approach utilizing snowballing look
methodology suggested by [5].The snowballing strategy
contains two steps which incorporates procuring the begin
set papers and performing emphasis in in reverse and
@ IJTSRD
|
Unique Paper ID – IJTSRD31305
|
forward snowballing. There is consideration criteria (IC)
utilized to screen the comes about as applied to this inquire
about as follows: IC1: Papers as it were significant to the AI
and IoT. IC2: Papers that are accessible in full text. IC3:
Papers that are distributed in English. IC4: Investigate
papers related to the e-business or e-commerce. The look
conducted come about in recordal of 289 papers. The look
conducted brought about in 289 records. IC1, IC2, IC3 and
IC4 were connected and gotten 143 papers. This resulted in
58 paper remained when the abstracts were examined.
Three snowballing emphasess were performed and 18
peer-reviewed papers remained and tested for the reason
of this consider.
CONCLUSION
It is concluded that the next wave within the time of
computing is the headway of IoT and AI. The conclusion
drawn from the discoveries of this research was the truth
that each paper displayed comes about that seem be
converted into bits of knowledge and analytics that can be
utilized to improve trade proficiency. Minimizing or
optimizing work processes, commerce forms and the reengineering of shifted mechanical age towards the time
and times of the fourth industrial insurgencies has
brought around changes that are impacting our lives both
adversely and emphatically. It is without question that AI
and IoT are displaying disturbances that affect
customarily worked businesses. The ponder advance
concludes that these concept models are disturbing
commerce particularly to those substances that are
operating traditionally.
Acknowledgment
The authors would like to thank the constant support of
the institute RMDSSOE, Pune and also thanks to Tshepo
Alex Malapane.
References
[1] West, D. and Allen, J., 2018. How artificial
intelligence is transforming the world.
[2] Shukla Shubhendu, S. and Vijay, J., 2013.
Applicability of artificial intelligence in different
fields of life. International Journal of Scientific
Engineering and Research, 1(1), pp.28-35.
[3] Makridakis, S., 2017. The forthcoming Artificial
Intelligence (AI) revolution: Its impact on society and
firms. Futures, 90, pp.46-60.
[4] O'Leary, D.E., 2013. Artificial intelligence and big data.
IEEE Intelligent Systems, 28(2), pp.96-99.
[5] Liao, Z. and Cheung, M.T., 2001. Internet-based eshopping and consumer attitudes: an empirical study.
Information & management, 38(5), pp.299-306.
[6] Cui, X., 2016. The internet of things. In Ethical Ripples
of Creativity and Innovation (pp. 61-68). Palgrave
Macmillan, London.
[7] Xia, F., Yang, L.T., Wang, L. and Vinel, A., 2012. Internet
of things. International Journal of Communication
Systems, 25(9), pp.1101-1102.
[8] Xirogiannis, G. and Glykas, M., 2007. Intelligent
modeling of ebusiness maturity. Expert Systems with
Applications, 32(2), pp.687-702.
Volume – 4 | Issue – 4
|
May-June 2020
Page 966