Ebook details

Preface 6

Part 1. Strategic and System-level Foundations of AI- and DT-Enabled HRM

1. AI and DT in Strategic Human Resources Management: A University Leadership Perspective on Pathways to Institutional Performance and Academic Staff Excellence (Marzena Stor, Czesław Zając) 9

1.1. Introduction 9

1.2. Digital Data Infrastructures as the Foundation of Strategic HRM in Universities 11

1.3. Ai-Supported Decision Making in Strategic HRM and Academic Staff Development 14

1.4. Resilience, Cybersecurity, and Ethical Governance of AI- and DT-Enabled HRM in the University Setting 16

1.5. Summary and Final Conclusions 19

References 21

1. The Multi-Order Architecture of Governance- and Accessibility-Integrated AI&DT-‑Enabled Managerial Staff Development: A Pathway to Multi-Dimensional Organizational Performance Results in MNCs (Marzena Stor) 25

2.1. Introduction 25

2.2. The Theoretical Background 26

2.3. The Empirical Research Design 30

2.4. The Empirical Research Findings 31

2.5. Summary and Final Conclusions 39

References 40

1. Digitally Enabled HQ-to-Subsidiary Knowledge Transfer for Employee Development: A Capability-Based Pathway to Financial Performance in MNCs (Marzena Stor, Aurelia Domaradzka) 43

3.1. Introduction 43

3.2. The Theoretical Background 44

3.3. The Empirical Research Design 46

3.4. The Empirical Research Findings 48

3.5. Summary and Final Conclusions 53

References 54

PART 2. Digital Transformation Contexts and Emerging HRM Challenges

1. Intellectual Capital in Building Competitive Advantage in the Digital Transformation of a Company: Evidence from a High-Tech Firm (Michał Igielski) 58

4.1. Introduction 58

4.2. The Theoretical Background 59

4.3. The Empirical Research Design 62

4.4. The Empirical Research Findings 63

4.5. Summary and Final Conclusions 68

References 69

1. Metaverse as an Environment for Shaping Employee Creativity – An Empirical Analysis of Enterprises Operating in the Metaverse (Agata Lulewicz-Sas, Dariusz Danilewicz, Jacek Winiarski, Hanna Kinowska, Tomasz Rostkowski) 71

5.1. Introduction 72

5.2. The Theoretical Background 72

5.3. The Empirical Research Design 77

5.4. The Empirical Research Findings 78

5.5. Summary and Final Conclusions 79

References 82

1. Pay Transparency in the Era of AI and Digital Technologies: Dimensions, Employee Perspectives, and Emerging Organizational Challenges (Marta Juchnowicz, Hanna Kinowska) 84

6.1. Introduction 84

6.2. The Theoretical Background 86

6.3. The Empirical Research Design 87

6.4. Empirical Research Findings 88

6.5. Summary and Final Conclusions 95

References 97

PART 3. Staffing Processes in AI- and DT-Driven HRM

1. AI-Enabled Recruitment Automation: Secondary Mechanisms and Their Organizational and Labor Market Implications (Anna Krejner-Nowecka) 100

7.1. Introduction 100

7.2. The Analytical Framework of Secondary Mechanisms in Recruitment Automation 102

7.3. The Manifestation of Secondary Mechanisms in Recruitment Automation 103

7.4. The Infrastructural Effects of AI-Enabled Recruitment Automation 105

7.5. Summary and Final Conclusions 107

References 110

1. AI-Enabled Assessment Centers in Staffing Processes: Applications, Implications, and Limitations for Candidate Selection (Stanisław A. Witkowski) 112

8.1. Introduction 112

8.2. Artificial Intelligence in Employee Selection Applications and Tools 113

8.3. Artificial Intelligence in Employee Selection Stages and Processes 116

8.4. Assessment Center in AI-Supported Selection 117

8.5. Summary and Final Conclusions 119

References 121

1. AI- and DT-Supported Preboarding: Implications for New Employee Adaptation in Online, Offline, and Hybrid Work Environments (Anna Krasnova) 124

9.1. Introduction 124

9.2. Digital Transformation of Employee Adaptation Processes 126

9.3. Preboarding as an Early Stage of Employee Adaptation 127

9.4. Design and Implementation of AI- and DT-Supported Preboarding Across Work Environments 129

9.5. Summary and Final Conclusions 132

References 134

PART 4. Employee Development and Career Formation in AI- and DT- ‑Supported HRM

1. Career Development Concerns in an AI-Integrated HRM Ecosystem: Implications for Employee Development and HRM Practice (Janusz Strużyna, Olgierd Witczak) 138

10.1. Introduction 138

10.2. The Theoretical Background 140

10.3. The Empirical Research Design 142

10.4. The Empirical Research Findings 143

10.5. Summary and Final Conclusions 149

References 152

1. Competency Development in an AI- and DT-Driven Environment: From Competency- Based Management to Micro-Credentials and Immersive Learning (Marcin Budzewski) 154

11.1. Introduction 154

11.2. Competency-Based Management Foundations and Limitations 156

11.3. AI-Enhanced Virtual Reality in Competency Development 157

11.4. Micro-Credentials and Integrated Competency Development 159

11.5. Summary and Final Conclusions 162

References 164

Concluding Summary of the Monograph 167

List of Figures 170

List of Tables 171