Analysis of AI Applications in E-Business: Research Paper Summary

This document summarizes three research papers. The first paper focuses on the role of Artificial Intelligence (AI) in e-business, highlighting its benefits like improved communication, enhanced operations, and the ability to facilitate buying and selling. The second paper addresses challenges and countermeasures in data forensics, discussing methodologies like scientific methods and data collection, and identifying technical and legal issues. The third paper explores knowledge management practices in large organizations, evaluating their impact on business decisions, performance, and innovation through quantitative survey techniques and analyzing the challenges faced. The papers collectively offer insights into the application of AI, data management, and knowledge management in various business contexts, and suggest avenues for future research.

Knowledge based
system

Research paper 1
• The title of this journal paper is the role of artificial
intelligence based system in the electronic business.
• In this paper, the researcher provided information about
artificial intelligence.
• Moreover, the author also discussed the significance of
artificial intelligence technique in the field of e-businesses.

Introduction
• According to researcher term, artificial intelligence is defined
as the computer controlled system in order to perform
activities with respect to intelligent beings.
• This technology also develops and produce the features of
discovery, reasoning and generalizing.

Introduction
• E-business is defined as the process of transacting business
with the help of internet connectivity.
• Researcher evaluated that e-business is a computer-based
process which enables the consumer to buy and sell products
from any location.
• Amazon, eBay and flip kart all these are best examples which
use this technology.

Introduction
• The objective of this journal paper is to evaluate the
significance of AI technology in the area of e-business.
• There are many benefits of e-business:
• Easy and improve communication
• Enhance time of operations
• Easy to buy and sell products

Background
• The researcher observed that the AI technique changed many
improvements in business, learning, and medical industries.
• There are various activities executed with the help of e-
business such as e-Tailing, online staff training, website
marketing, and goods trading.
• Moreover, AI technology also increased the field of
personalization, intelligent agent info, and automation all
these are explained in this paper.

Methodologies
• This journal paper is comprised of the following phases:
• Supporting and helping automation industries
• The development and implementation of chatbot and artificial
intelligence assistants
• Enhancing recommendation to the users
• Reducing the fake feedbacks and reviews
• Accounts and businesses of multinational e-commerce
organizations are also recorded.

Conclusion
• From this research article, it is concluded that AI technology
plays a significant role in the e-business.
• This paper provided an in-depth analysis of AI technology and
its Importance.
• Moreover, the researcher also explained the potential of AI
and how this help for producing smart decisions.
• The potential effect of AI in e-business is also evaluated to
better consumer satisfaction, transaction, and effectiveness.

Future work
• In the future researcher will explain more about the AI
technology in e-business.
• Author will be conducted a study in order to reduce the rate of
AI vulnerabilities and threats.
• Moreover, they will produce more opportunities in the field of
business market.

Research paper 2
• The title of this journal paper is challenges and counter
measures to data forensic
• The goal of this paper is to highlights the issues which are
faced by the digital forensics.
• Researcher also explained the better solutions which are
application in counter measuring.

Introduction
• Data forensic is defined as computer forensic which is the
study of digital information.
• It is an extensive process which comprises various areas such
as preservation, recovery and analysis.
• There are major two kinds of data collected by the author
such as volatile data and persistent data.

Introduction
• There are many benefits of this process which are following:
• Reduce the rate of sampling risk
• Data of related kinds can be easily compared
• Easily identify the risk factors
• Trends are also evaluated and obtained
• Prevention of violating rules
• All these are common advantages of computer forensic by
which companies can maintain the rate of risk factors.

Background
• In this paper, the researcher explained the fundamental of
data forensics and recovered the digital evidence.
• Today, many researchers use the same forensic technique in
order to locate crimes like fraud, data theft, espionage, and
data breach.
• Moreover, this evidence required to be reliable and authentic
in order to collect the positive justification of actions.

Methodologies
• There are following methodologies explained and used by the
researcher:
• Scientific method
• Identification
• Data collection
• Presentation of crimes
• Determination of the issues
• Validation
• Analysis and evaluation of the threats

Conclusion
• In this investigation, paper researcher identified the challenges
and issues faced by digital forensics.
• The collected data and information are relevant to the
research objective Moreover, the author also identified the
stages of issues such as Technical factors and Legal issues.
• Lack of standardization and regulatory body produce data
forensics maleficent.

Future work
• In the future study, author will improve the quality of data for
better understanding about digital forensic.
• Moreover, they will collect the viewpoints of other experts
and improve effectiveness of paper.
• Researcher will add the quantitative research method for
better understanding of digital forensic challenges.

Researcher paper 3
• The title of this journal paper is Knowledge Management
practices in Large Organizations.
• There are following objectives of this paper:
• To enhance the experience in the field of knowledge
management practice
• To highlights the importance of knowledge management practice
in the area of huge companies.

Introduction
• Term knowledge management provides a platform for
organizations in order to control their activities.
• KM techniques offer the management of knowledge and
experience of personnel.
• The better adoption of knowledge management can enhance
real user value and competitive benefits.

Introduction
• There are various benefits of knowledge management in an
organization which are following:
• Enhancement in the business decisions
• Enhanced overall performance and productivity of business
• Increment in the innovation by using broader collaboration
• Increment of ability and quality of working

Background
• Term knowledge management was produced in 1996 and it
was indicated attention from companies managers.
• Information, management, organization, psychology and
sociology all these play a significant contribution to the
development of KM.
• Moreover, this approach focus on the goals and aims of the
business industry in order to enhance their efficiency and
productivity.

Background
• The complete process of KM produces a root which involves
structures, strategies culture, governance, and values.
• An external key element, for example, participation,
influences, consumers, stakeholders are also justified in this
process.
• There are major five recorded dimensions on which the
knowledge management is implemented on which KM process
implemented which are explained in this study.

Methodologies
• There are major three methods used by investigator:
• Quantitative survey technique
• Survey through questionnaire
• Analysis of information with the help of SPSS software

Conclusion
• This paper tested and evaluated the practice and performance
of knowledge-based management.
• The goals were subjected with the help of survey and
questionnaire Results analysed that communication,
procedure management and companies operations are used
more effectively through KM.
• Moreover, the researcher also focused on the issues faced by
knowledge management.

Future work
• In future, researcher will reduce the limitations and drawbacks
of current investigation.
• Future work will enhance the size of sample and
implementation with the help of another techniques.
• Moreover researcher will provide in-depth analysis about
knowledge management and add discuss their significance in
large companies.