The Future of E-Commerce

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This book presents a futuristic perspective of e-commerce, covering the latest developments, applications and technological trends. An analytical perspective of e-commerce is presented with examples of social media and web analytics. The role of artificial intelligence and machine learning methods are also explored. Case studies and examples from around the world are included to identify the customer-centric approaches of e-commerce models of the near future.

Author(s): Vikas Kumar, Manju Lata
Series: Organization, Business and Management
Publisher: Nova Science Publishers
Year: 2022

Language: English
Pages: 230
City: New York

Contents
Preface
Acknowledgements
Chapter 1
Web Analytics: The Present and Future of E-Business
Abstract
Introduction
Literature Review
Web Design and User Interaction Efficiency
Web Analytics Insight into E-Business
List of the Most Popular Pages and Content
Determine Who Your Customers Are
Optimization of the Conversion Rate
Boost the Impact of Advertising on Social Media
Observe the Bounce Rate
Marketing Campaigns May Be Tracked and Analyzed
Tracking of Competitors
Integration of Web Analytics with E-Commerce
Forecasting Demand and Profitability
Heatmaps
To Drive the Promotion Plan, We Need to Identify Trends
Pricing Price Elasticity
For Merchants, Analytical Services
Identification of Fraudulent Activities
Personalisation
Variable Costing
Detection and Prevention of Financial Crimes
Analytical Prediction
Promotions That Are More Relevant to the Right Customers
Visibility of the Supply Chain
Innovations in New Products, Markets and Business Models
Web Analytics Metrics
Measuring and Defining Results
Accurate Metrics
Measurements for Defining Visitors
Click-Through-Rate (CTR)
Identifying the Demographics of a Site’s Visitors Metrics
Participation of Visitors Metrics
Metrics for Conversion
Conclusion
References
Chapter 2
Social Media Analytics for E-Business: Where Are We Heading?
Abstract
Introduction
Social Media Analytics and E-Business
Marketing
Finance
Operations
Prominent SMA Tools
Brand24
Facebook Ads Manager
Analytic Edge
Supermetrics
NapoleonCat
TapInfluence
Snaplytics
SproutSocial
HubSpot
BuzzSumo
Keyhole
Brandwatch
Intellestra
KPMGSpectrum
PeopleSoft
InforBirst
HaloBI
Conclusion
References
Chapter 3
Artificial Intelligence and E-Business
Abstract
Introduction
AI Application for Customer Acquisition
AI Applications for Customer Enhancement
AI Application for Customer Retention
Opportunities and Challenges
Conclusion
References
Chapter 4
Machine Learning Applications in E-Commerce
Abstract
Introduction
Machine Learning Algorithm Used in E-Commerce
Machine Learning Roles in E-Commerce
E-Commerce Sentiment Classification
Product Recommendations in E-Commerce Using Machine Learning
Conclusion
References
Chapter 5
Analysing Opportunities for Mobile Commerce
Abstract
Introduction
Evolution of Mobile Commerce
Features of Mobile Commerce
Mobile Website
Mobile Applications (Apps)
Social Media
Search Engine Marketing
Display Marketing
Video Streaming
Short Message Services (SMS) Marketing
E-Mail
Framework for Marketing Mobile Commerce Businesses
Mobile App Publishers
E-Commerce/Mobile Commerce Marketers
Mobile App Users
Advertisement Platforms
Challenges for Mobile Commerce
Risk Assurance
Ensuring Utility (Information, Entertainment and Social)
Utilising the User Pause Patterns
Utilising Existing Knowledge
Visual Aesthetics
Innovativeness
Accessibility
Using Ads as Reward
Conclusion
References
Chapter 6
E-Commerce in Southeast Asia: A Futuristic Perspective
Abstract
Introduction
Comparative Analysis of Offline vs. Online Business
Determinants of Future E-Commerce and Marketplace in Southeast Asia
Prediction of the E-Commerce Growth by 2022
Conclusion
References
Chapter 7
Futuristic Scope of E-Agribusiness in the Indian Market: A Paradigm Shift
Abstract
Introduction
Proven Market Development Approaches Being Followed in E-Agribusiness
Evolution and Need for E-Business in Agribusiness Sector
Benefits of Agri E-Commerce
Lesser Wastage
Improved Lifestyles due to Rise in Income
The Impact of Financial Inclusion
Enhanced Efficiency and Yield
Beneficial for Other Services
Futuristic Revenue Models of E-Agri Businesses
Markup Pricing Model
Commission Pricing Model
Advertising Pricing Model
Membership Based Pricing Model
Insights Monetization Pricing Model
Challenges
Lack of Better Logistics
Customer Choice and Preferences
Highly Perishable Products
Dependence on Middlemen
The Cash in Hand or Cash on Delivery Payments
Conclusion
References
Chapter 8
Online Consumer Behaviour: How to Create and Maintain E-Loyalty
Abstract
Introduction
Analytical Framework
Literature Review
Method
Results and Discussion
Brief Descriptive Analysis
Content Analysis
Discussion
Conclusion
References
Chapter 9
Smart Tourism as a Sustainable Strategy for Tourism Development
Abstract
Introduction
Smart Tourism
Sustainable Tourism and Smart Tourism
Issues and Challenges
Solution
Model of Smartness and Sustainability
Towards a Synergetic Model for Smart and Sustainable Destinations
Conclusion
References
Chapter 10
Social and Ethical Aspects of E-Commerce: A Boon or a Bane
Abstract
Introduction
Positive Social Aspects of E-Commerce
Encourages Entrepreneurship
Fuel the Dreams of Womenpreneurs
Preservation and Promotion of Arts and Handicrafts Through E-Commerce
Convenient and Time Saving
Comforts for Disabled and Elderly
Better Reach and Interconnectedness for Small Retailors
Employment Generation
Negative Social Aspects of E-Commerce
Safety and Health of Delivery Boys
Packaging and Waste
Traffic and Emission
Energy and Resource Consumption
Ethical Aspects of E-Commerce
Privacy Is a Myth
Internet Abuse, Responsibility and Use of Personal Information
Deception, Dishonesty and Accuracy
Selling Counterfeit Products
Conclusion
References
Chapter 11
Traditional to Digital Commerce: Impact of Scams on Consumer’s Attitude towards Online Shopping
Abstract
Introduction
Emergence of E-Commerce
Digital Era and E-Commerce
Digital Era and E-Commerce during the Pandemic
Loopholes in Online Payment Giving Way to Scams
Common Digital Frauds
Impact on Attitude
Conclusion
References
Editors’ Contact Information
Index
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