Impact of Artificial Intelligence on Organizational Transformation (eBook, PDF)

Redaktion: Balamurugan, S.; Duggal, Sonia; Sharma, Sachin; Gupta, Sachin; Jain, Anupriya; Pathak, Sonal

• Format: PDF

Produktbeschreibung

IMPACT OF ARTIFICIAL INTELLIGENCE ON ORGANIZATIONAL TRANSFORMATION Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing. The impact of AI in restructuring organizational processes is a combination of management practices and computational technology. This book covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms. Audience Readers include those working in artificial intelligence, business management studies, technology engineers, senior executives, and human resource managers in all types of business.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 448
• Erscheinungstermin: 31. Dezember 2021
• Englisch
• ISBN-13: 9781119710059
• Artikelnr.: 63271848

Autorenporträt

S. Balamurugan, PhD, SMIEEE and ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels. Sonal Pathak, PhD is an associate professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Anupriya Jain, PhD is an associate professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Sachin Gupta, PhD is at the Department of Business Administration, Mohanlal Sukhadia University, Udaipur, Rajasthan, India. Sachin Sharma is an assistant professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Sonia Duggal, PhD is an assistant professor at the Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India.

Inhaltsangabe

Foreword xxiii

Preface xxv

1 Artificial Intelligence Disruption on the Brink of Revolutionizing HR and Marketing Functions 1
Akansha Mer and Amarpreet Singh Virdi

1.1 Introduction 2

1.2 Research Methodology 4

1.2.1 Research Objectives 4

1.2.2 Data Collection 4

1.3 Artificial Intelligence in HRM 4

1.3.1 Recruitment 5

1.3.2 Engaging the Applicants and Employees 5

1.3.3 Orientation and Onboarding 6

1.3.4 Performance Appraisal 6

1.3.5 Training 7

1.3.6 Compensation 7

1.3.7 Employee Retention 8

1.4 Artificial Intelligence in Marketing 8

1.4.1 Creation of Customer Profiles/Market Segmentation 9

1.4.2 Cognizance of Consumers Purchase Behavior/Intention 10

1.4.3 Pricing 11

1.4.4 Content/Product/Service Recommendations/Search Optimization 11

1.4.5 Sales Prediction Based on Consumer's Demographics 12

1.4.6 Virtual Assistants/Real-Time Conversations 12

1.4.7 Visual Searching 12

1.4.8 CRM 13

1.5 Discussion and Findings 13

1.6 Implication for Managers 14

1.7 Conclusion 15

References 16

2 Ring Trading to Algo Trading--A Paradigm Shift Made Possible by Artificial Intelligence 21
Aditi R. Khandelwal

2.1 Introduction 22

2.2 Ring Trading 22

2.3 Features of Generation 1: Ring Trading 22

2.4 Generation 2: Shifting to Online Platform 24

2.5 Generation 3: Algo Trading 28

2.6 Artificial Intelligence 29

2.7 AI Stock Trading 30

2.8 Algorithmic (Algo Trading) Trading 31

2.9 Conclusion 31

References 32

3 AI in HR a Fairy Tale of Combining People, Process, and Technology in Managing the Human Resource 33
Jyoti Jain and Sachin Gupta

3.1 Introduction 34

3.2 Problem Recognition 35

3.3 Journey of AI in HR "From Where Till What" 36

3.4 Work Methodology of AI in HR 39

3.5 Branches of AI in HR 39

3.5.1 Machine Learning 39

3.5.1.1 Variance Detection 39

3.5.1.2 Background Verification 40

3.5.1.3 Employees Abrasion/Attrition 40

3.5.1.4 Personalized Content 40

3.5.2 Deep Learning 40

3.5.2.1 Important Use of Deep Learning in HR Context 40

3.5.3 Natural Language Processing 41

3.5.4 Recommendation Engines 41

3.6 Implication Stages of AI in HR 41

3.6.1 Automate 42

3.6.2 Augment 42

3.6.3 Amplify 42

3.7 Process Model of AI in HR 43

3.8 Key Roles of AI in HRM 44

3.9 Broad Area of Uses of AI in HR 45

3.9.1 Recruitment 46

3.9.2 Interviews 46

3.9.3 Reduction in the Human Biases 46

3.9.4 Retention 47

3.9.5 AI in Learning and Advancement 47

3.9.6 Diminish Gender Bias Equality 47

3.9.7 Candidate Engagement 48

3.9.8 Prediction 48

3.9.9 Smart People Analytics 48

3.9.10 Employee Experience 48

3.10 Dark Side of AI 50

3.10.1 Technical Requirements and Acceptance 51

3.10.2 Cost Involvement 52

3.10.3 Machine Biases 52

3.10.4 Job Losses 52

3.10.5 Emotional Turmoil 53

3.10.6 Fake Identity 53

3.10.7 Having an Audit Trail 53

3.10.8 Question on Decisions 54

3.11 Conclusion 54

References 55

4 Effect of Artificial Intelligence on Human Resource Profession: A Paradigm Shift 57
Jyoti Dashora and Karunesh Saxena

4.1 Introduct