Impact of Artificial Intelligence on Organizational Transformation (Artificial Intelligence and Soft Computing for Industrial Transformation)

Cover
Half-Title Page
Series Page
Title Page
Copyright Page
Contents
Foreword
Preface
1 Artificial Intelligence Disruption on the Brink of Revolutionizing HR and Marketing Functions
	1.1 Introduction
	1.2 Research Methodology
		1.2.1 Research Objectives
		1.2.2 Data Collection
	1.3 Artificial Intelligence in HRM
		1.3.1 Recruitment
		1.3.2 Engaging the Applicants and Employees
		1.3.3 Orientation and Onboarding
		1.3.4 Performance Appraisal
		1.3.5 Training
		1.3.6 Compensation
		1.3.7 Employee Retention
	1.4 Artificial Intelligence in Marketing
		1.4.1 Creation of Customer Profiles/Market Segmentation
		1.4.2 Cognizance of Consumers Purchase Behavior/Intention
		1.4.3 Pricing
		1.4.4 Content/Product/Service Recommendations/ Search Optimization
		1.4.5 Sales Prediction Based on Consumer’s Demographics
		1.4.6 Virtual Assistants/Real-Time Conversations
		1.4.7 Visual Searching
		1.4.8 CRM
	1.5 Discussion and Findings
	1.6 Implication for Managers
	1.7 Conclusion
	References
2 Ring Trading to Algo Trading—A Paradigm Shift Made Possible by Artificial Intelligence
	2.1 Introduction
	2.2 Ring Trading
	2.3 Features of Generation 1: Ring Trading
	2.4 Generation 2: Shifting to Online Platform
	2.5 Generation 3: Algo Trading
	2.6 Artificial Intelligence
	2.7 AI Stock Trading
	2.8 Algorithmic (Algo Trading) Trading
	2.9 Conclusion
	References
3 AI in HR a Fairy Tale of Combining People, Process, and Technology in Managing the Human Resource
	3.1 Introduction
	3.2 Problem Recognition
	3.3 Journey of AI in HR “From Where Till What”
	3.4 Work Methodology of AI in HR
	3.5 Branches of AI in HR
		3.5.1 Machine Learning
			3.5.1.1 Variance Detection
			3.5.1.2 Background Verification
			3.5.1.3 Employees Abrasion/Attrition
			3.5.1.4 Personalized Content
		3.5.2 Deep Learning
			3.5.2.1 Important Use of Deep Learning in HR Context
		3.5.3 Natural Language Processing
		3.5.4 Recommendation Engines
	3.6 Implication Stages of AI in HR
		3.6.1 Automate
		3.6.2 Augment
		3.6.3 Amplify
	3.7 Process Model of AI in HR
	3.8 Key Roles of AI in HRM
	3.9 Broad Area of Uses of AI in HR
		3.9.1 Recruitment
		3.9.2 Interviews
		3.9.3 Reduction in the Human Biases
		3.9.4 Retention
		3.9.5 AI in Learning and Advancement
		3.9.6 Diminish Gender Bias Equality
		3.9.7 Candidate Engagement
		3.9.8 Prediction
		3.9.9 Smart People Analytics
		3.9.10 Employee Experience
	3.10 Dark Side of AI
		3.10.1 Technical Requirements and Acceptance
		3.10.2 Cost Involvement
		3.10.3 Machine Biases
		3.10.4 Job Losses
		3.10.5 Emotional Turmoil
		3.10.6 Fake Identity
		3.10.7 Having an Audit Trail
		3.10.8 Question on Decisions
	3.11 Conclusion
	References
4 Effect of Artificial Intelligence on Human Resource Profession: A Paradigm Shift
	4.1 Introduction
	4.2 Evolution of Artificial Intelligence
		4.2.1 Phases of Artificial Intelligence
	4.3 Changing Role of Human Resource Professionals
	4.4 Effect of Artificial Intelligence on Human Resource Profession
		4.4.1 Symbiotic Relationship Between Artificial Intelligence and Human Resource Profession
	4.5 Limitations of Artificial Intelligence in HRM
	4.6 Conclusion
	References
5 Artificial Intelligence in Animal Surveillance and Conservation
	5.1 History
	5.2 Introduction
	5.3 Need of Artificial Intelligence
	5.4 Applications of AI in Animal Surveillance and Conservation
		5.4.1 In Livestock Monitoring
			5.4.1.1 Chip and Sensor (RFID)
			5.4.1.2 Microchip (GPS Tracker)
			5.4.1.3 Mobile Application
			5.4.1.4 Drone With Thermal Camera
		5.4.2 In Wildlife Animal Monitoring
			5.4.2.1 Motion Sensor Camera
			5.4.2.2 GPS Base Animal Tracker
			5.4.2.3 Smart Camera (Thermal Camera)
			5.4.2.4 Satellite Base Tag (Ringing, Callers)
			5.4.2.5 Acoustics/Sound Monitoring
			5.4.2.6 Radio Transmitter (Transponder)
	5.5 Some Other Tools of Artificial Intelligence
		5.5.1 Computer Software and Application
			5.5.1.1 Wildbook Comb (Bot)
			5.5.1.2 Betty
			5.5.1.3 Sensing Clues
		5.5.2 Resolve’s Trail Guard
	References
6 Impact of Artificial Intelligence on Digital Marketing
	6.1 Introduction
	6.2 The Impact That AI Has on Marketing
		6.2.1 The Data of Artificial Intelligence in Marketing
			6.2.1.1 The Audience: Highly Targeted Marketing Segmentation
			6.2.1.2 Journey to: The Customer’s Road
			6.2.1.3 Offer to: Advice-Based Behavioral Marketing
		6.2.2 Number of Efficiency Powered by the AI Global Consumer Statistics
		6.2.3 Cloud Computing: How it Interfaces to Marketing Thanks to Big Data
		6.2.4 AI World is Made Also With BOT. Exactly What Are BOT?
		6.2.5 The Chatbot: Service Robot as Support of Customer Care
	6.3 The Community Regulation “GDPE” and Artificial Intelligence: Here’s How Technology is Governed
	6.4 The Case Study Estée Lauder
	6.5 Conclusion
	References
7 Role of Artificial Intelligence in Transforming the Face of Banking Organizations
	7.1 Objectives
	7.2 Introduction
		7.2.1 Three Stages of Artificial Intelligence
		7.2.2 Different Types of Artificial Intelligence
		7.2.3 Trends and Need of Artificial Intelligence in Context of Indian Banking
		7.2.4 Uses and Role of Artificial Intelligence in Banks in the Opinion of [20, 25 26 & 31]
		7.2.5 Importance of Artificial Intelligence in Banking Practices and Operation
			7.2.5.1 Chat Bots
			7.2.5.2 Analytics
			7.2.5.3 Robotics Process Automation
			7.2.5.4 Generating Reports
		7.2.6 Impact of AI in Banking Operations
			7.2.6.1 Front Office Operations/Customer Centric
			7.2.6.2 Middle Office/Operation Centric
			7.2.6.3 Back Office/Decision Centric
		7.2.7 Future of Artificial Intelligence in Banks
	7.3 Existing Technology
	7.4 Methodology
		7.4.1 Search Process
		7.4.2 Selection Criteria and Review Process
	7.5 Findings
	7.6 Conclusion
	7.7 Suggestions
	References
8 Artificial Intelligence and Energy Sector
	8.1 Introduction
		8.1.1 Increase in the Emission of Greenhouse Gases
		8.1.2 Increase in the Financial Burden
		8.1.3 Huge Power Deficit
		8.1.4 Water Scarcity
	8.2 Challenges of Indian Power Sector
		8.2.1 Global Warming
		8.2.2 Depletion of Coal
		8.2.3 Huge Financial Stress
		8.2.4 Power Crisis
		8.2.5 Health Issues
		8.2.6 Plant Load Factor
		8.2.7 Transmission and Distribution (T&D) Losses
	8.3 Artificial Intelligence for Energy Solutions
	References
9 Impact of Artificial Intelligence on Development and Growth of Entrepreneurship
	9.1 Introduction
	9.2 Entrepreneurship
	9.3 Artificial Intelligence
	9.4 Artificial Intelligence and Entrepreneurship
	9.5 Process of Entrepreneurship
		9.5.1 Entrepreneurial Recognition
		9.5.2 Human Capital
		9.5.3 Technology Requirements and Idea Generation
		9.5.4 Opportunity Recognition Phase
		9.5.5 Opportunity Development
		9.5.6 Resource Requirements
		9.5.7 Entrepreneurship
		9.5.8 Financial Resources
		9.5.9 Opportunity Exploitation
		9.5.10 Knowledge Networks
		9.5.11 Validation of the Product
	9.6 The Need of Artificial Intelligence for Business Development
		9.6.1 Consumer Satisfaction
		9.6.2 Cybercrime Protection
		9.6.3 CRMs
		9.6.4 AI-Based Analytics
		9.6.5 Demand and Supply Management
		9.6.6 Improved Maintenance and Better Equipment Safety
		9.6.7 Searching Capable Employees
		9.6.8 Virtual Assistance for Sales
		9.6.9 Improvements With Self-Driven Technologies
	9.7 Some Important Facts About AI
	9.8 Opportunities for Artificial Intelligence in Business
		9.8.1 AI in the Field of Marketing
		9.8.2 For Track Competitors
		9.8.3 Make Less Work of Huge Data
		9.8.4 AI as Customer Support System
		9.8.5 Artificial Intelligence in CRMs
	9.9 Further Research Possibilities
	9.10 Conclusion
	References
10 An Exploratory Study on Role of Artificial Intelligence in Overcoming Biases to Promote Diversity and Inclusion Practices
	10.1 Introduction
		10.1.1 Objectives of the Study
		10.1.2 Background of the Study
		10.1.3 Relevance and Scope of the Study
	10.2 Research Gaps Identified
	10.3 Experiential Work
		10.3.1 Hypothetical Research Model
		10.3.2 Methodology
		10.3.3 Search Process
		10.3.4 Selection Criteria and Review Process
		10.3.5 Systematic Representation of Literature Review
		10.3.6 Understanding Workforce Diversity
		10.3.7 Benefits and Challenges of Workforce Diversity
		10.3.8 Biases as Obstacles in Diversity and Inclusion Practices
		10.3.9 AI as a Tool to Prevent Bias and Promote D&I Practices
	10.4 Synthesis of the Study
	10.5 Managerial Implications and Conclusion
	References
11 Artificial Intelligence: Revolutionizing India Byte by Byte
	11.1 Introduction
	11.2 Objectives of the Chapter
	11.3 AI for India’s Transformation
	11.4 Economic Impact of Artificial Intelligence
	11.5 Artificial Intelligence and its Impact on Various Sectors
		11.5.1 AI in Healthcare
		11.5.2 AI in Banking and Finance
		11.5.3 Artificial Intelligence in Education
		11.5.4 Artificial Intelligence in Agriculture Sector
		11.5.5 Artificial Intelligence in Smart Cities and Infrastructure
		11.5.6 AI in Smart Mobility and Transportation
	11.6 SWOT Analysis of Artificial Intelligence
		11.6.1 Strength
		11.6.2 Weakness
		11.6.3 Opportunity
		11.6.4 Threat
	11.7 Conclusion
	References
12 AI: A New Strategic Method for Marketing and Sales Platforms
	12.1 Introduction
	12.2 Objectives of the Chapter
	12.3 Importance of Artificial Intelligence
	12.4 Research Methodology
	12.5 AI: The Ultimate B2B Growth Accelerator
		12.5.1 AI Can Help Get Better Leads
		12.5.2 Predictive Analysis Improves Pitches
		12.5.3 Better Upsell Opportunities
		12.5.4 AI is an Excessive Digital Assistant
		12.5.5 AI and Improved Customer Conversations
	12.6 The Existing Methods of Marketing and Sales
		12.6.1 Being Lazy About Self-Promotion
		12.6.2 Avoiding Networking
		12.6.3 Bridging the New Product Launch Gap
	12.7 AI Will Shape Marketing Strategies of Startup in the Future
		12.7.1 Winning the Loots of Artificial Intelligence
		12.7.2 The Control of Artificial Intelligence and Recorded Data
		12.7.3 Artificial Intelligence the Game Changer for Small Businesses
		12.7.4 AI Selling and Marketing for E-Commerce
		12.7.5 Marketing Computerization to Modified Knowledge
	12.8 Artificial Intelligence is Shaking up the Job Market
	12.9 The Role of Artificial Intelligence and Machine Learning on Marketing
		12.9.1 Traditional and Modern Marketing
	12.10 Conclusion
	References
	Website
13 Brain and Behavior: Blending of Human and Artificial Minds Toward Stress Recognition and Intervention in Organizational Well-Being
	13.1 Introduction
	13.2 Research Methodology
	13.3 Fundamentals of Stress
		13.3.1 Stress at Workplace
		13.3.2 Symptoms and Outcome of Stress
	13.4 Embracing AI Opportunity in Stress Management Interventions
	13.5 Existing Technology for Stress Recognition
		13.5.1 Smart Detection Devices
		13.5.2 Stress Detection Through Physiological Signals
		13.5.3 Sensor-Based Detection
		13.5.4 Deep Learning Approaches for Stress Detection
		13.5.5 Stress Detection Through Biofeedback Systems
		13.5.6 Stress Detection Through Virtual Reality
		13.5.7 Stress Detection Through Keyboard Strokes
			13.5.7.1 Chatbots for Depression, Stress, and Anxiety
			13.5.7.2 WYSA Chatbot
		13.5.8 Stress Intervention Based on Human-Technology Interaction
			13.5.8.1 Individual Level of Intervention
			13.5.8.2 Organization Level Intervention
			13.5.8.3 Devices Supporting Stress Interventions
	13.6 Discussion and Findings
	13.7 An AI—Eye to the Future
		13.7.1 Implications to Managers
		13.7.2 Implication to the Entrepreneurs
	13.8 Conclusion
	13.9 Limitations of AI in Human Resource Management
	13.10 Conclusion
	References
14 Alternative Financing
	14.1 Introduction
		14.1.1 Sources of Funds for Individuals
		14.1.2 Sources of Funds for Organizations
	14.2 Alternative Financing
		14.2.1 Features of Alternative Financing
	14.3 Models of Alternative Financing
		14.3.1 Peer-to-Peer Lending
			14.3.1.1 Peer-to-Peer Lending Types
		14.3.2 Crowdfunding
			14.3.2.1 Equity-Based Crowdfunding
			14.3.2.2 Profit Sharing Crowdfunding
			14.3.2.3 Reward-Based Crowdfunding
			14.3.2.4 Donation-Based Crowdfunding
	14.4 Scope of Alternative Financing in India
	14.5 Alternative Finance as a Tool of Financial Inclusion
	14.6 Regulation of Alternative Finance
	References
	Further Web Links
	Dissertation
15 Application of Machine Learning in Open Government Database
	15.1 Introduction
	15.2 Literature Review
	15.3 Overview of Open Government Data
	15.4 Open Government Data in India
	15.5 How to Create Value from Data
	15.6 Artificial Intelligence
	15.7 Why AI is Important?
	15.8 Machine Learning
	15.9 Concerns About Machine Learning on Government Database
	15.10 Conclusion
	References
16 Artificial Intelligence: An Asset for the Financial Sector
	16.1 Introduction
		16.1.1 Phase I 1950–1983 Origin of AI and the First Hype Cycle
		16.1.2 II Phase 1983–2010 Reawakening of Artificial Intelligence
		16.1.3 III Phase 2011–2017 AI Domains Competing Humans
		16.1.4 The Present and the Future Phase (2018–2035)
	16.2 Types, Technology, and Application of AI
		16.2.1 Types of Artificial Intelligence
		16.2.2 Artificial Intelligence Technologies
		16.2.3 Applications of Artificial Intelligence
	16.3 Artificial Intelligence and Financial Services
		16.3.1 Artificial Intelligence and Insurance
		16.3.2 Artificial Intelligence and Stock Market
			16.3.2.1 From the History of Stock Exchange to the Development of Algo Trading in India
			16.3.2.2 What is Algorithmic Trading?
			16.3.2.3 Benefits of Algo Trading
			16.3.2.4 Algorithmic Trading Platforms
			16.3.2.5 Algo Trading Strategies
			16.3.2.6 Impact of Artificial Intelligence on Stock Market
		16.3.3 Artificial Intelligence and Mutual Funds
			16.3.3.1 Mutual Funds Use AI in the Following Ways
			16.3.3.2 Quantitative Fund’s Investment Process
			16.3.3.3 Quantitative Fund—Choosing Stocks Strategy
			16.3.3.4 The Other Way Around
	16.4 Conclusion
	16.5 Glossary
	References
	Bibliography
17 Artificial Intelligence With Special Reference to Blockchain Technology: A Future of Accounting
	17.1 Introduction
		17.1.1 Artificial Intelligence and Accounting
		17.1.2 Blockchain in Finance and Accounting
	17.2 Objectives
	17.3 Literature Review
		17.3.1 Janling Shi
		17.3.2 Nordgren
		17.3.3 Kiwilinski
		17.3.4 Ahmed Farah
		17.3.5 Odoh Longinus Chukwudi
		17.3.6 Potekhina and Rumkin
	17.4 Research Methodology
	17.5 Usage of Artificial Intelligence in Accounting
	17.6 Usage of Blockchain in Accounting
		17.6.1 Bitcoin
		17.6.2 Interbank Transactions
		17.6.3 Property Registry
	17.7 Impact of AI on the Field of HRM
	17.8 Challenges in Execution
	17.9 Conclusion
	References
18 AI-Implanted E-Learning 4.0: A New Paradigm in Higher Education
	18.1 Introduction
	18.2 Research Methodology
		18.2.1 Objective
		18.2.2 Research Approach
		18.2.3 Types and Sources of Data
	18.3 Progression of Web and E-Learning
		18.3.1 Some Relevant Definitions Distance Education
		18.3.2 E-Learning
		18.3.3 E-Learning 1.0–4.0
			18.3.3.1 Web 1.0 E-Learning 1.0 (Link to Anything): 1997 to 2003
			18.3.3.2 Web 2.0 E-Learning 2.0 (User Involvement): 2004 to 2006
			18.3.3.3 Web 3.0 E-Learning 3.0 (Existing Data Reconnected): 2007 to 2011
			18.3.3.4 Web 4.0 (Read/Write/Execute/Concurrency From 2012)
	18.4 Artificial Intelligence in Learning
		18.4.1 What is Artificial Intelligence?
		18.4.2 AI En Routed the Learning
			18.4.2.1 Smart Learning Content
			18.4.2.2 Intelligent Tutoring Systems
			18.4.2.3 Virtual Facilitators and Learning Environments
			18.4.2.4 Content Analytics
			18.4.2.5 Paving New Learning Pathways in the Coming Decade
	18.5 Impact of Artificial Intelligence in Education (AIEd)
		18.5.1 Will AI Take Over From Humans?
		18.5.2 AI-Implanted E-Learning
			18.5.2.1 Avatars
			18.5.2.2 Hyper-Reality
			18.5.2.3 The Hyper Class in Virtual Universities
			18.5.2.4 JITAITs
		18.5.3 Recommendations to Help Unleash Intelligence
			18.5.3.1 Pedagogy
			18.5.3.2 Technology
			18.5.3.3 System Change
	18.6 Conclusion
	Concise Summary
	References
19 Artificial Intelligence in Banking Industry
	19.1 Introduction
	19.2 Banking on Artificial Intelligence
	19.3 Role of Artificial Intelligence in Shaping Indian Banking Industry
		19.3.1 Detection of Anti-Money Laundering Pattern
		19.3.2 Chatbots
		19.3.3 Algorithmic Trading
		19.3.4 Fraud Detection
		19.3.5 Customer Suggestions
		19.3.6 Personalized Banking
		19.3.7 Digital Payments
		19.3.8 Robo Advisors
	19.4 Influence of Artificial Intelligence on Indian Banking Industry
	19.5 Reasons Behind Elongated Adoption of Artificial Intelligence in Banking Industry
		19.5.1 Cut-Throat Competition in Banking Sector
		19.5.2 Push for Process-Driven Services
		19.5.3 Introduction of Self-Service at Banks
		19.5.4 Customer Demand for More Customized Solutions
		19.5.5 Creating Operational Efficiencies
		19.5.6 Increasing Employee Productivity
		19.5.7 To Help Focus on Profitability and Compliance
		19.5.8 Use of Robotics Software
		19.5.9 To Reduce Fraud and Risk Associated With Security
		19.5.10 To Manage Large Information and Derive Value Insight
		19.5.11 To Bring in Effective Decision-Making
	19.6 Indian Banks Using Artificial Intelligence
		19.6.1 State Bank of India
		19.6.2 Bank of Baroda
		19.6.3 Allahabad Bank
		19.6.4 Andhra Bank
		19.6.5 YES Bank
		19.6.6 Housing Development Finance Corporation (HDFC)
		19.6.7 Industrial Credit and Investment Corporation of India (ICICI)
		19.6.8 Axis Bank
		19.6.9 Canara Bank
		19.6.10 Punjab National Bank
		19.6.11 IndusInd Bank
		19.6.12 City Union Bank
	19.7 Pros and Cons of Artificial Intelligence in Banking Sector
		19.7.1 Pros
			19.7.1.1 Tracking of Transactional and Other Data Sources
			19.7.1.2 Identification of Pattern Which May Be Eluded by Human Observers
			19.7.1.3 Risk Assessment
			19.7.1.4 Secure and Swift Transaction
			19.7.1.5 Protection of Personal Data
			19.7.1.6 Hedge Fund Trading and Management
			19.7.1.7 Quick Transaction
			19.7.1.8 Reduce Cost and Time
			19.7.1.9 Upgraded Personnel Effectiveness and Customer Observation
			19.7.1.10 Enhanced Banking Services
		19.7.2 Cons
			19.7.2.1 High Cost
			19.7.2.2 Bad Calls
			19.7.2.3 Distribution of Power
			19.7.2.4 Unemployment
	19.8 Intelligent Mobile Applications Drive Growth in Banking
		19.8.1 Investment
		19.8.2 Accounting
		19.8.3 Banking Apps
		19.8.4 Digital Wallet Apps
	19.9 Conclusion
	References
20 The Potential of Artificial Intelligence in Public Healthcare Industry
	20.1 Introduction
		20.1.1 Drug Discovery
			20.1.1.1 The Main Stages of Drug Discovery Might Take Several Years in Completion
			20.1.1.2 Companies or Startups Used AI Techniques for Drug Discovery
		20.1.2 Medical Imaging
			20.1.2.1 Ar eas of Medical Imaging
			20.1.2.2 Some Applications for AI in Medical Imaging Are at Present Applied in General Healthcare
		20.1.3 Disease Prevention
			20.1.3.1 Areas of Disease Prevention, Supported by AI System
			20.1.3.2 Some Recent Software Used for Disease Prevention
		20.1.4 Medical Diagnosis
			20.1.4.1 Categories of AI Tools for Disease Diagnosis
			20.1.4.2 Software Developed for Disease Diagnosis
			20.1.4.3 Making Smartphone as Powerful Diagnostic Tools
		20.1.5 Robotic AI
	20.2 The Future of Artificial Intelligence in Healthcare
	References
21 Banks to Lead Digital Transformation With Artificial Intelligence
	21.1 Artificial Intelligence
		21.1.1 Human Versus Artificial Intelligence
		21.1.2 Difference Between AI, NLP, NN, ML, or DL
		21.1.3 Types of Artificial Intelligence
		21.1.4 Innovations in Indian Banking Through IT
		21.1.5 A Short History of Artificial Intelligence
	21.2 Artificial Intelligence History Timeline
		21.2.1 Objectives
		21.2.2 Scope
		21.2.3 Methodology
	21.3 Why Artificial Intelligence in Banks
	21.4 Goal of Artificial Intelligence
		21.4.1 Innovations in Indian Banking Through IT
		21.4.2 Innovation in Indian Banking Sectors
	21.5 Artificial Intelligences Used by Different Banks
	21.6 Implementation of Artificial Intelligence in Banking
	21.7 Path Ahead Chatbots in Banking
	21.8 Advantage of Artificial Intelligence in Banking Sector
	21.9 Types of Risks and Threats Associated With Banking
	21.10 Nature of Risks in Wireless Banking
	21.11 Advent of Information Technology in Indian Banking Sector
	21.12 Future Scope of AI
	21.13 Conclusion
	References
22 Effectiveness of E-HRM Tools Using the Functionalities of Artificial Intelligence During Remote Working in Lockdown Period
	22.1 Introduction
		22.1.1 Artificial Intelligence in Electronic HR Management
			22.1.1.1 Prospective Employee Engagement and Development
			22.1.1.2 Employee Training
			22.1.1.3 Candidate Selection for Recruitment
			22.1.1.4 Development Needs of Employees
	22.2 Literature Review
	22.3 Objective of the Study
	22.4 Research Methodology
	22.5 Impact and Efficiency of AI-Enabled EHRM Tools in Work From Home Scenario Under Lockdown
	22.6 Conclusion
	Reading List
Index
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