Artificial Intelligence and Digital Diversity Inclusiveness in Corporate Restructuring

Contents
Foreword
Preface
Acknowledgments
Chapter 1
Role and Benefits of Corporate Digital Responsibility (CDR) in the Public and Private Enterprises in a Digitalization Era
Abstract
Introduction
Conceptual Framework of Corporate Digital Responsibility
Stakeholders in Corporate Digital Responsibility
Organizations
Individual Actors
Artificial and Technological Actors
Institutional, Governmental and Legal Actors
Key Lifecycle Stages of Digital Technologies and Data
Creation of Technologies and Data Capture
Operation and Decision Making
Inspection and Impact Assessment
Refinement of Technology and Data
Three Layers of a Corporate Digital Responsibility CDR) Culture
Shared Values Supporting CDR within an Organization
Specific Norms for CDR
Artifacts of CDR
Corporate Digital Responsibility-Related Behaviors
Influences on a Corporate Digital Responsibility Culture
Public Opinion
Legal Requirements
Technological Progress
Industry Factors
Customer Factors
Firm Factors
Outcomes of a Corporate Digital Responsibility Culture
Organizations
Individual Actors
Institutional Actors and Society at Large
Artificial and Technological Actors
Challenges of Corporate Digital Responsibility
Ensuring Data Privacy Protection
Pursuing Socially Ethical Practices
Promoting Digital Diversity and Inclusion
Respecting Data Ownership Rights
Ensuring Ethical AI Decision-Making Algorithms
Responsible Data Validation and Disposal Practices
Time and Value
Health and Privacy
Trust
Benefits of Corporate Digital Responsibility (CDR)
Digital Wellbeing
Digital Influence
Data Ownership
Digital Inclusion
Unbiased Artificial Intelligence
Digital Convenience
Application in Organizations
Conclusion, Implications and Suggestions
References
Chapter 2
Organizational Cases of Artificial Intelligence to Leverage Corporate Diversity and Its Impact on Corporate Performance
Abstract
Introduction: AI to Leverage to Corporate Diversity
Application Areas of AI for HR Managers to Meet Corporate Diversity
Recruitment
Learning and Development
Performance Appraisal
Workforce Analysis
Administrative Support
Employee Retention
Miscellaneous Applications
Adoption of AI within the HR Function
Organizations Adopting AI in Developing Corporate Diversity
Status of AI Application in HR in India
Challenges in the Adoption of AI in HR
Conclusion and Recommendations
Areas of Future Research
References
Chapter 3
The Essence and Relevance of Machine Learning and Artificial Intelligence in the Financial Sector
Abstract
Introduction
Taxonomy of ML, AI and DL
Types of Machine Learning Algorithms
How AI Is Financial Sector Changer
ML Aspects in Finance
Use-Cases of ML in Finance
Financial Services and Monitoring
Investment Prediction and Portfolio
Management of Credit Risk
Secure Transaction
Stock Market Prediction
Credit Scoring Analysis
Fraud Detection
Algorithmic Trading
Future Perspective of ML/AI in Finance
Sales and Recommendations
Optimization of Portfolio Investments
Security Enhancements
Sentiment Analysis
Enhanced Services to Customer
Conclusion
References
Chapter 4
Digital Innovations in the Indian Banking Industry: An Exploratory Study
Abstract
Introduction
Problem Formulation
Problem: 1
Problem: 2
Review of Literature
Innovation
Research Objectives
Hypothesis
Research Methodology
Definition and Evolution of Digital Banking
The Global Evolution of Digital Banking Innovations in Four Phases
Digital Banking- its Evolution in Indi
Various Initiatives of Digital Innovations in Indian Banking
Emergence of New Emerging Financial Technology (Fin-Tech) & E-Collaborations: A New Paradigm in Indian Banking Industry
Emerging Technologies
Constraints in Implementation and Prospects
Hypotheses Testing
Suggestions
Findings of the Study
Limitations and Scope for Future Research
Conclusion
References
Chapter 5
Emerging Artificial Intelligence and Machine Learning Techniques and Their Application to Corporate Management and Decision Making in Agriculture
Abstract
Introduction
Application of Machine Learning
Decision Support Systems
Market Research and Customer Segmentation
Enhancing Operational Efficiencies of Routine Tasks
Detecting and Reducing Customer Churn Rate
Dynamic Pricing
Sentiment Analysis
Automated Video Surveillance
Product Recommendation
Customer Service through Chatbots
Image Recognition
Virtual Professional Assistants and Activity Monitoring
Social Media
Fraud Detection
Simulation of Growth Models in Economics
Pest, Disease and Yields Forecasting
Limitations of AI and ML Techniques
Conclusion
References
Chapter 6
Connecting Leadership and Diversity Theories in Building Cultural Competency through a Cultural Shift
Abstract
Introduction
Connecting the Dots
Workplace Diversity
Diversity Theories: Disentangling the Functional and Dysfunctional Effect of Workplace Diversity on Organizational Outcomes
Ethics in Leadership
Leadership Theories and Diversity Management at Workplace
Situational Leadership Approach for Promoting Diversity
Leader–Member Exchange Theory for Promoting Diversity
Transformational Leadership for Promoting Diversity
Authentic Leadership for Promoting Diversity
Building Cultural Competency through a Cultural Shift: Necessity for True Diversity
Managing a Diverse Workforce through a Holistic Approach: Time for Action
Discussion
Conclusion
References
Chapter 7
Digital Transformation of Supply Chains
Abstract
Introduction
Need for Digital Transformation
Phases of Digital Transformation
Digital Technology for Supply Chain
Digital Transformation Needs Diversity and Inclusion
Digitally Transformed Supply Chain Benefits
Drivers of a Digitally Transformed Supply Chain
Conclusion
Future Scope
References
Chapter 8
What Affects the Choice for Digitalization of Business Records? Evidence from Micro and Small Enterprises
Abstract
Introduction
Literature Review
Methodology
Diagnostic Tests
Reliability
Validity
Normality
Independent Sample T-Test
Hypotheses
Model Specification
Empirical Results and Discussions
Correlation Matrix
Regression Results
Conclusion
References
Chapter 9
Digitisation of National Rural Livelihood Mission’s Initiatives: A Pathway to Sustainable Socio-Economic Inclusion of the Poor
Abstract
Introduction
Review of Literature
Objectives
Methodology Adopted for the Study
Analysis and Interpretation
Governmental Initiatives and Rural Livelihoods
Odisha Initiative for Poverty Reduction and Sustainable Livelihoods
Households’ (Respondent’s) Income
Income across the Social Categories
Sources of Income
Average Income from Different Crops
Cost of Cultivation
Digitisation of National Rural Livelihood Mission’s Initiatives
Significance of Digitization for SHG’s Initiatives
Challenges of Digitisation of NRLM Initiatives
Recommendations and Suggestions
Conclusion
Acknowledgement
References
Chapter 10
Impact of Digital Diversity in the Global Business Environment
Abstract
Introduction
Objective of the Study
Review of Literature
Research Methodology
Results and Analysis
Conclusion
References
Chapter 11
Is AI the Magic Wand for a Sustainable Future?
Abstract
Introduction
What is AI?
Green AI
It Is Not CSR; It Is TSR (Technological Social Responsibility)
Integration of AI with CSR
Sustainability Challenges and AI Solutions
Conclusion
References
Chapter 12
Social Entrepreneurship and Environmentalism: The Case of KIIT
Abstract
Introduction
Review of Literature
Limitations
Research Method
Findings
Spirit of Entrepreneurship and Realization of Social Responsibilities
Interpretation
Perception of the Students and Stakeholders Regarding the Concept of Social Entrepreneurship to KIIT
Interpretation
Students’ Cognition of the Balancing Mechanism Adopted by KIIT
Interpretation
Respondents’ Opinion Regarding the Objectives of KIIT as a Social Entrepreneur
Interpretation
KIIT’s Concern for Ecology: Students’ Perception
Interpretation
Replication of Values Evinced in the Gestures Displayed by KIIT Employees after Being Imbued with KIIT Culture and Values
Interpretation
Suggestions
Conclusion
References
Chapter 13
Artificial Intelligence Concerning Corporate Sustainability: A Systematic Review of Research
Abstract
Introduction
Literature Review
Artificial Intelligence
Corporate Sustainability
Methodology
Analysis and Findings
Literature Profile
Research Contexts
Industry
Results and Discussion
Year
Source Title
Diversity Based on Geography
Research Context
Subject Area
Keywords
Industry
Limitation and Future Research Direction
Conclusion
References
Chapter 14
Strategic Transformation from Food to E-Food: A Customer Perspective Analysis
Abstract
Introduction
Literature Review
Objectives of the Study
Research Design and Methodology
Sampling and Data Collection
Measurement of Reliability
Justification of Statistical Tools
Henry Garret Ranking Technique
Exploratory Factor Analysis
Regression Analysis
Discussion
Analysis of Garret Rankings
Analysis of Regression Result
Implications
Scope for Further Research
Conclusion
Appendix 1: Normality and Constant Variance of Residuals
Appendix 2: Factors, Factor Loadings and Variables with Source Citations
References
Chapter 15
The Impact of Artificial Intelligence-Driven Recommendation on Customer Experience in E-Retailing
Abstract
Introduction
The Objective of the Study
Literature Review
Working of Artificial Intelligence
AI in Marketing
AI Applications in Retail
Predicting and Understanding Consumer Behaviour on a New Perspective
AI and Consumer Experience
AI-Driven Recommendation Agent (RA)
Consumers and Convenience in the Phase of AI
Research GAP
Research Framework
Integrating AI to Customer Convenience
Research Method and Data Survey
Measures
Test of Reliability and Validity
Regression Analysis
Analysis
Interpretation
Limitation and Scope
Suggestion
Conclusion
References
Chapter 16
Application of Technological Flavors – Artificial Intelligence in Corporate Restructuring
Abstract
Introduction
Changing Face of Global Restructuring Practices (Christian and Colston, 2019)
Digital Transformation Is the New Name for Company Restructuring (Annacone, 2019)
Literature Review
Understanding the Concept of Corporate Restructuring
Objectives
Analysis and Interpretation
Technology-Assisted Review and Verification (TARV) (Christian and Colston, 2019), (Goodman, 2018)
Benefits of Using TARV – Technology-Assisted Review and Verification to Organizations (Epiq, 2019)
Early Resolution of the (Restructuring and Litigation) Cases
Getting the Important Information Quickly
Improvement in Managing the Information
Minimizing the Costs of Document Review Procedures
Keep Your Organization More Competitive Always
Reasons behind the Limited Use of TARV by Legal Professionals (Christian and Colston, 2019)
Corporate Restructuring Embracing Digital Inclusivity and Artificial Intelligence (AI) (Wiley, 2020)
Getting the Organizations Ready
Harnessing the Benefits of Technology
Following Compliance with the New Regulations
Enhancing Interactions with the Investors and Other Stakeholders
Suggestions
Conclusion
References
Chapter 17
CRM and Automation: Intervention of Artificial Intelligence
Abstract
Introduction
Artificial Intelligence: The Game Changer
Advent of Robotics
Literature Review
Objectives of the Study
Understanding the Framework
Analaysis and Interpretation
Suggestions
Conclusion
References
Chapter 18
The Effect of Digital Transformation on Organizational Knowledge Management
Abstract
Introduction
Methodology
Review of Literature
Industry 4.0 and Digitalization Transformation
Models of Knowledge Management in Organization
Knowledge in Digital Era
Organizational Knowledge and Artificial Intelligence
Knowledge Mining and Big Data
Conclusion
References
Editors’ Contact Information
Index
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