
Future of E-Commerce
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Content
- Intro
- 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
- 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
- Blank Page
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