Artificial Intelligence and Digital Diversity Inclusiveness in Corporate Restructuring

Description

In this era of globalization, diversity in the business environment is about more than gender, race and ethnicity. It now includes employees with diverse religious and political beliefs, education, socioeconomic backgrounds, sexual orientation, cultures and even disabilities. Companies are discovering that, by supporting and promoting a diverse and inclusive workplace, they are gaining benefits that go beyond the optics. There is no industry left where artificial intelligence is not used in some capacity. Considering the pace at which AI, machine learning and deep learning have been developing in recent years, it is expected that AI will profoundly modify the way we live and work. One of the areas in which this paradigm may stand out in the future is related to diversity and inclusion within companies. AI can detect potential bias and prejudice in decision-making by simulating intelligent behaviour, potentially reducing trends and prejudices that could hinder organizations'ability to recruit diversely and inclusively. 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 Blank Page