This book discusses the effect of global pandemic, Covid-19, on human resource and draws strategies with new job designing tools and techniques. It provides insights on how to develop new strategies for HR professionals in corporates and academicians. This book explores the implication of descriptive, predictive and prescriptive HR analytics practices for different functional domains and in different countries during COVID-19. It brings new dimensions of study in HR analytics which are sure to change after COVID-19 as it has affected the way people are going to work.
Author(s): Subhra R. Mondal, Francesca Di Virgilio, Subhankar Das
Publisher: Palgrave Macmillan
Year: 2021
Language: English
Pages: 292
City: Singapore
Contents
Notes on Contributors
List of Figures
List of Tables
1 People Analytics and The Future of Competitiveness: Which Capabilities HR Departments Need to Succeed in the “Next Normal”
Introduction
Background: Big Data and the Current Challenge for the HR Departments
HR Proactive Orientation and Big Data Analytical Capabilities
Discussion on HR Department Role and Capabilities
HRD New Capabilities
HR Department Should Assume the Role of BD Architect by Designing Structures and Systems
Effective HR Department Should Assume a Guidance Role for the Organization in the Shift Toward BD, Thus Promoting the Newness While Protecting the Social and Human Dimension
HR Department Should Assume the Role of Guardian and Promotor of Ethics in the Management of Data
Conclusion and Future Research Directions
Conclusions
Future Research
References
2 The Influence of Social Media Usage on Firm Performance During the COVID-19 Era: An Empirical Study
Introduction
Background: Main Focus of the Chapter
Bed and Breakfast in the Hospitality Industry
Social Media Platform at Work and the Central Role of Human Resources
The Entrepreneurial and Management Supporting Social Policy Implementation
Social Media Usage and the Relationship with Firm Performance
Research Model and Hypotheses
Methodology
Findings
B&B Characteristics and Demographic Profile of Respondents
Assessing the Measurement Model
The Structural Model and Hypotheses Testing
Solutions and Recommendations
Future Research Directions
Conclusion
Appendix 1
References
3 Effects of Covid-19 on Public Administration: Smart Working as an Organizational Revolution
Introduction
The Role of Technology in Organizational Flexibility
Smart Working: Constitutive Features
Methods
Results and Discussion
Smart Working Pilot Project Before Covid-19 Health Emergency
Smart Working During Covid-19 Health Emergency
Conclusion, Limitations, and Future Research Directions
References
4 Digitalize Work in Pandemic Time: Practices for Remote Working and Job Redesign in Public Organization
Introduction
Review of Literature
Digitalization and ICT for Public Organizations
The New Forms of Work: Remote vs Smart
Objective of Chapter
Method
Context
Case Study: The Interview
Solutions and Recommendations
Future Research Directions
Conclusion
References
5 Effective Management of a Remote Workforce for Covid-19: A Proposed Research Model Toward Smart Working Adoption Within Organizations
Introduction
Smart Working Within Organizations
Advantages and Disadvantages of Remote Working
Designing Smart Working & HRM Within Organizations
The Mobility and Development HRM System
The Evaluation HRM System
The Rewards HRM System
References
6 Remote Work at the Time of COVID-19 Pandemic and Beyond: A Scoping Review
Introduction
Background
Remote Work Definition
Generic Research on Remote Work
COVID-19 and Remote Work
Methodology
Literature Review Approach
Data Collection
Academic Literature
Gray Literature
Data Analysis
Results
Academic Literature: Publication Characteristics
Gray Literature: Publication Characteristics
Analysis and Discussion
Benefits for Employees
Work–Family Life Balance
Remote Work Inclusion
Orchestrated Interaction
Benefits for Companies
Access to Talent
Benefits for Employees and Companies
Productivity
Cost Reduction/Saving
Human Resource (HR) Analytics
Challenges for Employees
Work–Family Life Balance
Health and Well-Being
Remote Work Divide
Changed Interaction
Challenges for Employees and Companies
Cybersecurity
Trust, Surveillance, and HR Analytics
Solutions and Recommendations
Work–Family Life Balance
Health and Well-Being
Remote Work Divide
Orchestrated Interaction
Productivity
Trust, Surveillance, and HR Analytics
Cybersecurity
Access to Talent
Conclusion and Future Research Directions
Appendix 1: Included Academic Literature
Appendix 2: Included Gray Literature
References
7 Dynamic Role of Technology in Managing Workforce in Service Delivery During COVID-19 Pandemic
Introduction
Technology
Digital Information
Virtual Working
Smart Working
Methodology
Data Analysis and Discussions
Discussion
Limitations and Future Scope of Research
Conclusion
References
8 Technological Dynamism of Workforce Management for Effective Education Service Delivery During and After Covid-19
Introduction
Background
Objective of the Chapter
Issues, Controversies, Problems
Even More Issues, Controversies, and Problems
Strength
Weakness
Opportunities
Challenges
Suggestions
Conclusion
References
9 Human Governance Analytics for Public Organizations
Introduction
Background
Human Governance Conceptualization
Human Governance Analytics
Empirical Research
Bibliometric Analysis
Case Studies in Public Administration
Case Study 1—Metrics for Senior Civil Servants Recruitment in the Public Administration Context
Introduction
Procedure
Metrics
Final Considerations
Case Study 2—Metrics for Human Governance Regarding Talent Development and Talent Performance Evaluation in the Context of Public Administration
Introduction
Procedure
Metrics
Case Study Final Considerations
Discussion and Conclusions
Future Research Directions
References
10 Analysing Users’ Engagement with eSports Team: Does Covid-19 Matter?
Introduction
Background: Main Focus of the Chapter
ESports Overview
Users’ Engagement with eSports
Users’ Sentiment Expressions
Methodology
The Case
Data Collection and Analysis Procedures
Phase 1: Data Collection of Trends (RQ1)
Phase 2: Analyzing Sentiments Express Through Comments (RQ2)
Findings
Initial Analysis of Trends
Content Analysis
Word Frequency
Identification of Moods
Analyzing the Trend of Engagement
Sentiment Analysis
Conclusions
Discussion
Theoretical Contributions
Contribution to Practice
Limitation and Future Research
References
Index