Business Advancement through Technology Volume II: The Changing Landscape of Industry and Employment
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Description
This two-volume edited collection explores the impact of technology on business advancement. Technology is a multifaceted and multidimensional phenomenon, carrying opportunities and risks. Business advancement therefore, can no longer be considered without technological mediation. While Volume I offers insights into technological improvements in the field of global marketing, Volume II focuses on the implications of changing technology on work and employment. It covers topics such as the role of technology in change management, digital transformation, and the impact of AI on employment. Taken together, the books move forward the study of organizations and technology and are ideal resources for business students and researchers. Contents Notes on Contributors List of Figures List of Tables 1: An Overview of Business Advancement Through Technology: The Changing Landscape of Work and Employment 1.1 Introduction 1.2 Contextual and Theoretical Foundations 1.3 Digital HRM 1.4 Digitization and Working Conditions 1.5 Content and Structure References 2: Research on Robotic Process Automation: Structuring the Scholarly Field 2.1 Introduction 2.2 Research Design 2.3 Classification Framework 2.4 Discussion of Previous Research 2.4.1 General 2.4.2 Adoption 2.4.3 Assessment 2.4.4 Implementation 2.4.5 Use 2.4.6 Effects 2.5 Research Gaps and Future Research Directions 2.5.1 Fair View on Benefits Realisation and Challenges 2.5.2 Robust Results on Adoption and Readiness 2.5.3 Governing, Organising and Managing RPA 2.5.4 Intelligent and Cognitive RPA 2.5.5 Robot-human Interaction 2.6 Conclusion 2.7 Appendix References 3: The Role of Technology Enabled HRM Systems in Developing Hybrid Workplaces: A Case Study of the Information Technology Sector in India 3.1 Introduction 3.2 Literature Review 3.3 Methodology and Research Context 3.4 The Pre-pandemic Workplace 3.5 Findings 3.6 Limitations 3.7 Conclusion References 4: Engineering the Metaverse for Innovating the Electronic Business: A Socio-technological Perspective 4.1 Introduction 4.2 Literature Review 4.2.1 Beyond the ‘Standard’ Conception of Virtual Reality: A Definition of Metaverse 4.2.2 From Immersive Simulation to Emersive Experience: A Trans-conceptual Vision of the Metaverse 4.3 Methods 4.4 The Grounded Investigation: Relevant Business Experiences in the Field (Past, Current, and Future) 4.5 The Conceptual Development: A SWOT Analysis for the Governance and the Management of the Metaverse 4.6 Findings’ Discussion about Potential Business Applications of the Metaverse 4.7 Conclusion References 5: The Changing Technology Use and its Impact on Leadership and Hierarchy Structure in the Virtual Workplace 5.1 Introduction 5.2 Existing Literature and Research Direction 5.3 Analysis of the Findings 5.3.1 Challenges of Virtual Teams 5.3.2 Strategies for Leading Virtual Teams 5.4 Discussion and Conclusion References 6: Conceptual Mutations of Change Management and the Strategy–Technology–Management Innovation 6.1 Introduction 6.1.1 Purpose 6.1.2 Methods 6.2 Literature Review 6.2.1 Change and the Risk of Reinventing the Organisation 6.2.2 Paradigm Shift and Change in the Mind 6.2.3 Maintaining Balance in the Change Process and the Significance of Swift Results 6.2.4 Change and Leadership 6.2.5 Chaotics and Doing Business in the Age of Turbulence 6.3 Analysis of Findings 6.4 Conclusion: Towards a Restructured Perspective of Organisational Change (Strategy–Technology–Management Synthesis) References 7: The Spread of Artificial Intelligence and Its Impact on Employment: Evidence from the Banking and Accounting Sectors 7.1 Introduction 7.2 Technological Change and the Labor Market 7.2.1 Challenges of AI for the Future Accountant 7.2.2 The Possible Impact of AI on Employment 7.2.3 AI for Recruitment and Selection in the Banking Sector 7.3 Research Design 7.4 Findings 7.4.1 Study 1: Views About the Impact of AI on the Accounting Profession 7.4.2 Accountants’ Attitudes 7.4.3 Skills, Robots, Data, Future and Investment Nodes 7.4.4 Study 2: The Digital Realm 7.4.5 Reasons for Not Utilizing AI in the Cypriot Banking Sector 7.4.6 Challenges and Ethical Concerns for Using AI in Recruitment 7.5 Discussion and Conclusions References 8: Machine Learning, Artificial Intelligence and the Future of Work: Impact on HR, Learning and Development Professionals 8.1 Introduction 8.2 The Impact of AI and ML on Human Resources 8.2.1 How AI & ML Affects HR Practices 8.2.2 The Role of HR Information Systems (HRIS) 8.2.3 How AI & ML Impacts the Future of Work 8.2.4 Ethics and Other Considerations 8.2.5 The ML and AI Research Project and Its Impact on HR Professionals 8.3 Research Methodology 8.4 Evaluation of the Impact of AI and ML: Cases from HR and L&D Professionals 8.4.1 Case Study 1: The UK Retail Sector 8.4.2 Case Study 2: The British Armed Forces 8.4.3 Case Study 3: The UK Health Sector 8.5 Conclusion 8.6 Implications References 9: Technological Innovation and Performance Measurement in the Sport Sector 9.1 Introduction 9.2 Literature Review 9.3 Methodology 9.4 Analysis 9.4.1 The History of Omega at Olympic Games 9.4.2 The Innovation at Tokyo 2020 Olympic Games The Electronic Starting Gun The Starting Blocks The Photo Finish Photocell Technology The Swimming Light Show The Contact Plates for Swimming The Quantum Timer The High Resolution Scoreboards Athletics Swimming Beach Volleyball Gymnastics Equestrian 9.5 Discussion References 10: Opening up the Black Box on Digitalisation and Agility: Key Drivers and Main Outcomes 10.1 Introduction 10.2 Literature Review and Hypotheses Development 10.2.1 Digital Technologies and Organisational Performance 10.2.2 Innovation Intensity and Organisational Performance 10.2.3 Digital Technology and Sustainable Development 10.2.4 Innovation Intensity and Sustainable Development 10.3 Research Design and Methodology 10.3.1 Sample Selection and Data Collection 10.3.2 Data Collection and Variables Measurement The Data Collection Choice of Used Approach Variables 10.3.3 Dependent Variable Organisational Performance (ORG_PER) Sustainable Development (SUS_DEV) 10.3.4 Variables of Interest 10.3.5 Control Variables 10.3.6 Model Development 10.4 Empirical Results 10.4.1 Multivariate Analysis 10.4.2 Results Discussion and Potential Scientific and Managerial Implications 10.5 Conclusion References 11: Ecosystem Innovation as the Stepping into Other People’s Shoes 11.1 Introduction 11.2 Theoretical Background 11.2.1 Our Elaboration 11.3 Method to Reach Innovation in a Pandemic Era 11.3.1 Our Elaboration 11.4 Findings: Ecosystems, Stakeholder Engagement and Crowdsourcing 11.5 Conclusion References Web References Index
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