The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (Studies in Computational Intelligence, 935)

✍ Scribed by Allam Hamdan (editor), Aboul Ella Hassanien (editor), Anjum Razzaque (editor), Bahaaeddin Alareeni (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 473
• Category: Library

✦ Synopsis

This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children.

Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.

✦ Table of Contents

Foreword
Preface
Contents
Artificial Intelligence, Entrepreneurship and Business Success
Artificial Intelligence for Supply Chain Success in the Era of Data Analytics
1 Introduction to Logic of Artificial Intelligence
1.1 Application of Data Analytics and Machine Learning in Supply Chain
2 Solution Methodology—A Business Case for the Success of Supply Chain
2.1 Machine Learning Improve Supply Chain Performance
3 Discussion
4 Conclusions
References
Artificial Intelligence and Firm Performance: A Robotic Taxation Perspective
1 Introduction
2 Statement of the Problem
3 The Objective of the Study
4 Research Hypotheses
5 Operationalization of Variables
6 Conceptual Review
6.1 Artificial Intelligence
6.2 Robot or Artificial Fortified Machine
6.3 Robot Taxation
6.4 Firm’s Performance
7 Relevant Theory
7.1 Social Contract Theory
7.2 Robotic Involvement Among Companies in Nigeria
8 Robotic Involvement on Productivity of Companies in Nigeria
9 Robotic Intervention in the Level of Employment Among Companies in Nigeria
10 Reduction of Capital Allowance and Performance of Companies in Nigeria
10.1 Gaps in Literature
11 Methodology
11.1 Research Design
11.2 Population
11.3 Sources of Data
11.4 Reliability of the Research Instrument
11.5 Econometric Model
11.6 Apriori Expectation
12 Data Analysis and Discussion of Findings
13 Response Rate
13.1 Descriptive Statistics of Variables
14 Inferential Analysis
14.1 Hypothesis One
14.2 Hypothesis Two
14.3 Hypothesis Three
14.4 Hypothesis Four
14.5 General Question 1
14.6 General Question 2
15 Discussion of Findings
16 Recommendations
17 Contribution to Knowledge
17.1 Theoretical Contribution
17.2 Empirical Contribution
17.3 Conceptual Contribution
References
The Impact of Innovative Technology on the Aviation Industry and on Customers Preference
1 Introduction
2 Methodology
2.1 Sampling
2.2 Research Hypothesis
3 Results, Interpretation of Data and Analysis
3.1 Demographic Characteristics
3.2 Other Characteristics
3.3 Customer Preference
3.4 Innovative Technology
3.5 Hypotheses Testing
4 Conclusion, Recommendations and Future Research
References
The Relationship Between Intellectual Capital in the Fourth Industrial Revolution and Firm Performance in Jordan
1 Introduction
2 The Paper Objectives
3 Literature Review
3.1 The Advantages of VAICTM Model
4 Theoretical Background
4.1 Resource-Based View (RBV)
4.2 Knowledge-Based View (KBV)
4.3 Skandia Navigator
5 Conceptual Framework
6 Hypotheses Development
7 Research Methodology
7.1 Population and Sample of Research
7.2 Measurement of Research Variables
7.3 Multiple Regression Analysis Models
8 Results and Discussion
8.1 Descriptive Statistics
8.2 Correlation Analysis
8.3 Regression Results
9 Conclusion and Recommendation
10 Limitation of Study
References
Potentials of Artificial Intelligence for Business Performance
1 Introduction
2 Intelligent Machines—How Are They Different?
3 Theoretical Background
4 Integration of Artificial Intelligence with Business Processes
5 Artificial Intelligence and Firm Performance Empirical Evidence
6 Conclusion
References
Collaborative and Social Media SaaS (Software as a Service) Cloud Computing Services’ Adoption and Acceptance Model on the Millennials: Conceptual Model
1 Introduction
2 Literature Review
2.1 Theoretical Background and Research Model
2.2 Cloud Computing
2.3 Cloud Computing Service Model Paradigm
2.4 Cloud Computing Deployment Model Paradigm
2.5 SaaS Collaborative and Social Media Services
3 Hypotheses Development
3.1 Collaborative and Social Media SaaS Cloud Computing Acceptance (AUSaaS)
3.2 Behaviour Intention (BI) Relationship with AUSaaS
3.3 Subjective Norms (SN) Construct’s Relationships: Relationship Between SN and AUSaaS
3.4 Relationship Between SN and BI
3.5 The Mediating Role of BI on the Relationship Between SN and AUSaaS
3.6 Perceived Behavioral Control (PBC) Construct’s Relationships
3.7 Relationship Between PBC and BI
3.8 The Mediating Role of BI on the Relationship Between PBC and AUSaaS
3.9 Attitude (ATT) Relationship
3.10 Perceived Usefulness (PU) and Perceived Ease of Use (PEU) Constructs’ Relationships
4 Methodology
4.1 Survey Instrument
4.2 Data Collection and Measurements
4.3 Mediation Assessment Procedure
5 Conclusion
References
FinTech, RegTech and Artificial Intelligence
Fintech: A Pathway for MENA Region
1 Introduction
2 Understanding Fintech Categories
3 Perspectives and Expectations of Stakeholders
4 Global Emergence of Fintech
5 Emergence of Fintech in MENA Region
6 Prevailing Challenges Towards Adoption of Fintech in MENA
7 Looking Ahead—Fintech in MENA
7.1 Sustainability
7.2 Environment Support
7.3 Development of Human Capital
7.4 Government Initiatives
8 Conclusion
References
RegTech and Regulatory Change Management for Financial Institutions
1 Introduction
2 Financial Regulations
2.1 Regulation and Supervision
2.2 Financial Stability and Consumer Protection
2.3 Domestic and Cross-Border Transactions
3 RegTech—Digital Reporting, Audit and Compliance
3.1 Regulatory Priorities by Region
3.2 Anti-money Laundering (AML) and Counter-Terrorism Financing (CFT)
3.3 Customer Due Diligence (CDD) and Ultimate Beneficial Owner (UBO)
3.4 Cybersecurity
3.5 Data Protection and Data Privacy
3.6 Remodeling the OTC
3.7 Shariah Audit, Compliance and Monitoring
4 Managing Regulatory Change
4.1 Tracking Regulatory Changes
4.2 Compliance Readiness to Regulatory Changes
4.3 A Regulatory AI-Driven Model
5 Conclusion
References
Artificial Intelligence and Financial Technology FinTech: How AI Is Being Used Under the Pandemic in 2020
1 Introduction
2 Literature Review
3 Applications of AI and FinTech in Finance
3.1 Application of Treasury Technology
3.2 Application Scenarios of AI and FinTech in the Financial Industry
3.3 Application Cases of AI Technology in Chinese Financial Industry
4 AI Technology Changes of Financial Business
5 Regulation—Technology in Finance Must Be Strictly Regulated and Standardized
5.1 Disadvantages of the Regulation
5.2 Advantages of the Regulation
6 Conclusion
References
Conceptualising the Corporate Governance Issues of Fintech Firms
1 Introduction
2 Literature Review
2.1 Fintech Firms’ Corporate Policies
2.2 Fintech Firms’ Over-Boarded Directors Are Good Advisor or Bad Monitor?
2.3 Fintech Firms’ CEO Duality
2.4 Role of Audit Firms in the Fintech Corporate Governance
3 Conclusion
References
Implementation of Artificial Intelligence in Healthcare and Public Sector
Artificial Intelligence in Public Sector: A Framework to Address Opportunities and Challenges
1 Introduction
1.1 Why Technology Policy Is Required for Artificial Intelligence?
1.2 Covid-19 Will Redefine the Relations Between People, Business and State Actors
1.3 Why Do Countries Prepare AI Strategies, and What Are Their Challenges?
1.4 What Are the Real Problems of the Society and How to Prioritize Them?
1.5 According to Our Analysis 90% of 48 Strategy or Policy Documents Have Emphasized Importance of Collaboration Between Actors
2 Pillars of Government Strategies and Challenges
2.1 Capability: Talent, Infrastructure, Investment and Governance
2.2 Implementation: Adoption of Public and Private Sectors
2.3 Impact on Society
3 Conclusion
References
Big Data for Healthcare: Opportunities and Challenges
1 Introduction
2 Related Works
3 Background: Big Data Analytics in Healthcare
3.1 Big Data Analytics Definition
3.2 Sources of Healthcare Data
3.3 Big Data Analytics Goals in Healthcare
3.4 Tools Used in Big Data Analytics in Healthcare
4 Opportunities and Challenges of Big Data Analytics in Healthcare
4.1 Big Data Analytics Benefits in Healthcare
4.2 Big Data Analytics in Healthcare: Challenges and Solutions
5 Moving to a Full Healthcare System Based on BDA
5.1 Transformation Phases to Full Health Care System Based on BDA
5.2 Pillars of Transformation
6 Conclusion
References
Artificial Intelligence and Its Impact on Public Management and Decision-Making
1 Introduction
2 Definition of AI/Literature Review
3 Types of AI
3.1 Reactive Machines
3.2 Limited Theory
3.3 Theory of Mind
3.4 Self-awareness
4 Current Uses of AI
5 Machine Learning: Algorithms that Generate Algorithms
6 What Is the Difference Between Artificial Intelligence and Machine Learning?
7 Conclusion and Recommendations
References
Emirates Leading Experience in Employing Artificial Intelligence
1 Introduction
2 Artificial Intelligence
2.1 What Is Artificial Intelligence?
2.2 The Importance of Artificial Intelligence
2.3 Artificial Intelligence Application Areas
2.4 Does Artificial Intelligence Lead to Unemployment?
3 The United Arab of Emirates Economy and Their Experience Using AI
4 How Gulf Countries Can Benefit from the UAE AI Experience?
5 Discussion and Conclusion
References
Implementation of Artificial Intelligence in Education and Smart Universities
Smart University and Artificial Intelligence
1 Introduction
2 Smart Education—Global Scenario
2.1 Smart Education Framework
2.2 Smart Learning Environment
3 Difference Between Traditional and Smart Education
4 What Is a Smart University
4.1 Characteristic Features of a Smart University
4.2 Advantages and Disadvantage of Smart University
4.3 Advantages
5 Artificial Intelligence (AI)
5.1 Smart Campus
5.2 Smart Infrastructure
5.3 Smart Pedagogic
5.4 Smart Classrooms
5.5 Barriers to Smart Classroom Implementation
5.6 Advantages and Disadvantages of Smart Classroom
5.7 Vital Technologies that Support the Vision of AI
5.8 AI Versus the Role of the Teacher
5.9 Artificial Intelligence and Online Education
5.10 AI Application in Education
5.11 Roles for Artificial Intelligence in Education
5.12 Some Application Developed for Education
6 Conclusion
References
A Review on Smart Universities and Artificial Intelligence
1 Introduction
2 Research Methodology
3 Smart University Components
4 Characteristics of Smart University
5 Artificial Intelligence
6 Smart Universities Systems
7 Review of Articles Discussion
8 Conclusion
References
Artificial Intelligence and Smart Universities
1 Introduction
2 Artificial Intelligence and E-Learning
3 Smart University
4 Smart Campus
4.1 Smart IT Infrastructure
4.2 The Smart IT Hardware Infrastructure Includes
4.3 The Smart IT Software Infrastructure Depends on What It Has to Do with All Applications and Controlling Systems Such as
4.4 Digital Culture
5 Smart Buildings
5.1 Safety
5.2 Cost Effectiveness
5.3 Energy Saving (Green Building)
6 Models of Smart Arab Universities
7 Coronavirus (COVID-19) and Smart Universities
8 Conclusion
References
Artificial Intelligence Literature in Accounting: A Panel Systematic Approach
1 Introduction
2 Literature Review: A Panel Systematic Approach
3 Discussion
4 Conclusions and Future Research
References
The Ethical, Professional Practices and Social Implications of Artificial Intelligence
Ethics of Artificial Intelligence and the Spirit of Humanity
1 Introduction
2 Taking Control of Nature
3 Finding the Key to Happiness
4 Being Cyber
5 Science Fiction Scenarios
6 Digital Ethics
7 When the Beast Roars
8 Imagination and Reality
9 Interconnected Ethics Network
10 Conclusion
References
The Use of Artificial Intelligence in E-Accounting Audit
1 Introduction
2 What Is Artificial Intelligence?
2.1 The Definition of Artificial Intelligence
2.2 The Characteristics of AI
2.3 Types of AI
3 Assessing the Relationship of AI to Accounting
4 Evolution of the Accounting Auditing Profession on the Impact of the Covid-19 Pandemic
4.1 Motives Develop an Audit
4.2 Definition of E-Accounting Audit
4.3 The Characteristics of Accounting Audit Under AI
4.4 Challenges of E-Accounting Audit
5 The Role of Artificial Intelligence in Accounting Auditing
5.1 The Way E-Accounting Auditing Works Under Artificial Intelligence
5.2 Programs Used in E-Accounting Audit
5.3 The Effect of E-Accounting Audit on the Internal Audit Process
6 Conclusion
References
Web-Based Financial Disclosures by Using Machine Learning Analysis: Evidence from Bahrain
1 Introduction and Literature Review
2 Research Hypotheses and Variables
2.1 Analysis Variables
3 Research Methodology
3.1 Why Machine Learning Technique (MLT)?
3.2 Benefits in the Current Field of Study
3.3 Study Sample
3.4 Analyze the Data Using MLT
3.5 Research Formula
3.6 Model
4 Research Findings Through Machine Learning Prediction
4.1 Data Analysis
4.2 Data Cleaning
4.3 Outlier
4.4 Feature Importance
4.5 Regression
4.6 Regression Data Analysis Using Ordinary Least Square
4.7 Model Evaluation
4.8 Test Set Prediction
5 Interpretation, Conclusion and Recommendations
References
Artificial Intelligence and Economic Development
Artificial Intelligence in Africa: Challenges and Opportunities
1 Introduction
2 Artificial Intelligence in Africa: Distilling the Story so Far
3 Opportunities
4 Challenges
5 Conclusion and the Way Forward
References
Managing the Fourth Industrial Revolution: A Competence Framework for Smart Factory
1 Introduction
2 Theoretical Background
2.1 The Fourth Industrial Revolution
2.2 The Concept of Competences
2.3 Existing Competence Framework for Smart Factory
3 Research Method
4 Findings
5 Discussion
6 Conclusion
References
Analysis for the Knowledge Economy in GCC Countries
1 Introduction
2 Knowledge Economy Framework
3 The Methodology of Assessing the Knowledge Economy
3.1 Performance
3.2 Institutions
3.3 Education and Human Resource
3.4 Innovation System
3.5 Information and Communications Technologies
4 Analysis of KEI for GCC Countries
4.1 KEI Index
4.2 Performance Index (Macroeconomic Environment)
4.3 Institutions Index
4.4 Education and HR Index
4.5 Innovation System Index
4.6 Information Infrastructure (Technology Readiness)
5 Conclusion
References
Machine Learning in Credit Risk Modeling: Empirical Application of Neural Network Approaches
1 Introduction
2 Machine Learning
3 Credit Default Prediction
3.1 Definition of Credit Default Prediction
3.2 Background of Credit Default Prediction
3.3 Advantages of Credit Default Risk Prediction
3.4 Limitations of Credit Default Risk Prediction
4 Major Statistical and Machine Learning Approaches in Credit Default Prediction
4.1 Logistic Regression
4.2 Discriminant Analysis
4.3 Decision Tree
4.4 Support Vector Machines
4.5 Artificial Neural Network (ANN) Approaches
5 Empirical Examples from Neural Network Approaches
6 Conclusion
References
Big Data, Deep Learning and Business Success
Sentiment Analysis of Arabic Sequential Data Using Traditional and Deep Learning: A Review
1 Introduction
2 Theoretical Background
2.1 Basics of Sentiment Analysis
2.2 Levels of Sentiment Analysis
2.3 Classifications of Sentiment Analysis Approaches
2.4 Sentiment Analysis Process
3 Arabic Language in Sentiment Analysis
4 Challenges of Arabic Sentiment Analysis
5 Related Work
5.1 Language Parsing and Morphological Complexity
5.2 Negation Handling
5.3 Scarcity of Arabic Resources
6 Conclusion
References
A Light Spot on the Role of Artificial Intelligence and Deep Learning in Social Networks
1 Introduction
2 Deep Learning: Basics
2.1 Learning Process of Neural Network
3 Recurrent Neural Network
3.1 Different Types of RNN
4 Convolutional Neural Network
4.1 Applications
5 Deep Learning in Social Media
5.1 Image Tagging
5.2 Visual Search
5.3 Recommendation Engines
5.4 Bad Content Detection
5.5 Semantic Analysis
5.6 Text Translation
6 Conclusion
References
Artificial Intelligence, Big Data, and Value Co-creation: A Conceptual Model
1 Introduction
2 Artificial Intelligence, Big Data, and Value Co-creation
3 Theoretical Framework
3.1 Players in Value Co-creation
3.2 Dimensions of Value-Co-creation
3.3 Value Co-creation and Big Data
3.4 AI and Value Co-creation
4 Theoretical Framework
5 Discussion and Conclusions
References