Prelims

Lerato Aghimien (University of Johannesburg, South Africa)
Clinton Ohis Aigbavboa (University of Johannesburg, South Africa)
Douglas Aghimien (De Montfort University, United Kingdom/University of Johannesburg, South Africa)

Construction Workforce Management in the Fourth Industrial Revolution Era

ISBN: 978-1-83797-019-3, eISBN: 978-1-83797-018-6

Publication date: 12 February 2024

Citation

Aghimien, L., Aigbavboa, C.O. and Aghimien, D. (2024), "Prelims", Construction Workforce Management in the Fourth Industrial Revolution Era, Emerald Publishing Limited, Leeds, pp. i-xii. https://doi.org/10.1108/978-1-83797-018-620241010

Publisher

:

Emerald Publishing Limited

Copyright © 2024 Lerato Aghimien, Clinton Ohis Aigbavboa and Douglas Aghimien


Half Title Page

Construction Workforce Management in the Fourth Industrial Revolution Era

Title Page

Construction Workforce Management in the Fourth Industrial Revolution Era

BY

LERATO AGHIMIEN

University of Johannesburg, South Africa

CLINTON OHIS AIGBAVBOA

University of Johannesburg, South Africa

AND

DOUGLAS AGHIMIEN

De Montfort University, United Kingdom/University of Johannesburg, South Africa

United Kingdom – North America – Japan – India – Malaysia – China

Copyright Page

Emerald Publishing Limited

Emerald Publishing, Floor 5, Northspring, 21-23 Wellington Street, Leeds LS1 4DL.

First edition 2024

Copyright © 2024 Lerato Aghimien, Clinton Ohis Aigbavboa and Douglas Aghimien.

Published under exclusive licence by Emerald Publishing Limited.

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British Library Cataloguing in Publication Data

A catalogue record for this book is available from the British Library

ISBN: 978-1-83797-019-3 (Print)

ISBN: 978-1-83797-018-6 (Online)

ISBN: 978-1-83797-020-9 (Epub)

Contents

List of Figures and Tables vii
About the Authors ix
Preface xi
Chapter 1. General Introduction 1
Chapter 2. Construction Workforce Management 11
Chapter 3. Construction Workforce Management in the Fourth Industrial Revolution 41
Chapter 4. Workforce Management Theories, Models, and Practices 75
Chapter 5. Gaps in Construction Workforce Management Research 103
Chapter 6. Conceptualising Construction Workforce Management 127
Chapter 7. Exploring the Conceptualised Construction Workforce Management Model Through Experts' Opinion 159
Chapter 8. Conclusion 201
Index 207

List of Figures and Tables

Figures
Fig. 2.1. Publication Per Year. 23
Fig. 2.2. Countries with at Least 10 Publications. 24
Fig. 6.1. Conceptualised Construction Workforce Management Model. 149
Fig. 6.2. Proposed Conceptual Construction Workforce Management Model. 150
Fig. 7.1. The Delphi Process. 162
Fig. 7.2. Overall Significance of the Construction Workforce Management Practices. 194
Tables
Table 2.1. Co-occurring keywords 25
Table 3.1. Co-occurring keywords 48
Table 4.1. Existing Workforce Management Practices. 94
Table 7.1. Experts’ Assessment. 164
Table 7.2. Background Information of Delphi Experts. 166
Table 7.3. Round 1 Result of the Workforce Management Practices. 168
Table 7.4. Round 2 Result of the Workforce Management Practices. 169
Table 7.5. Round 1 Result of the Recruitment and Selection Variables. 170
Table 7.6. Round 2 Results of the Recruitment and Selection Variables. 172
Table 7.7. Round 1 Result of the Compensation and Benefits Variables. 174
Table 7.8. Round 2 Result of the Compensation and Benefits Variables. 176
Table 7.9. Round 1 Result of the Performance Management and Appraisal Variables. 178
Table 7.10. Round 2 Results of the Performance Management and Appraisal Variables. 180
Table 7.11. Round 1 Result of the Training and Development Variables. 181
Table 7.12. Round 2 Result of the Training and Development Variables. 184
Table 7.13. Round 1 Result of the Employee’s Involvement and Empowerment Variables. 185
Table 7.14. Round 2 Result of the Employee’s Involvement and Empowerment Variables. 187
Table 7.15. Round 1 Result of the Emotional Intelligence Variables. 188
Table 7.16. Round 2 Results of the Emotional Intelligence Variables. 189
Table 7.17. Round 1 Results of the External Environment Variables. 192
Table 7.18. Round 2 Results of the External Environment Variables. 193

About the Authors

Lerato Aghimien is a Senior Lecturer in the Construction Management and Quantity Surveying Department at the University of Johannesburg, South Africa. She draws from her years of experience working in the construction industry in teaching students in price analysis and estimating, construction management, and human resource management in construction. She holds a PhD in Construction Management from the University of Johannesburg, South Africa. She has published many peer-reviewed journal and conference papers on diverse built environment-related issues, including human resource management, sustainable construction, and digitalisation.

Clinton Ohis Aigbavboa is a Professor in the Department of Construction Management and Quantity Surveying and Director of Cidb Centre of Excellence & Sustainable Human Settlement and Construction Research Centre, University of Johannesburg, South Africa. Currently, he is the Chair of SARChI in Sustainable Construction Management and Leadership in the Built Environment at the University of Johannesburg, South Africa. Before delving into academics, he was a Quantity Surveyor on several infrastructural projects in Nigeria and South Africa. He completed his PhD in Engineering Management and has published several research papers in housing, construction and engineering management, and research methodology for construction students. Also, he has published over seventeen research books. He has extensive knowledge in practice, research, training, and teaching.

Douglas Aghimien is a Senior Lecturer in Built Environment and the Programme Leader for BSc Quantity Surveying and Construction at the School of Arts, Design and Architecture, De Montfort University, Leicester, United Kingdom. He has a PhD in Engineering Management from the University of Johannesburg (UJ), South Africa. In 2021, he received the UJ PDRF Excellence Award for the best-performing postdoctoral fellow from the Faculty of Engineering and the Built Environment. His contributions to built environment-related research earned him a Y2-rated researcher status by the National Research Foundation of South Africa. He has a keen interest in construction digitalisation, sustainable construction, as well as construction and value management.

Preface

The construction industry worldwide is a massive employer of labour. The industry depends on these workers to carry out its activities of contributing to economic growth and societal development. However, the relationship between the construction industry and its workforce is best described as paradoxical. This is because, despite being heavily dependent on workers, the industry has been notorious for its poor workforce management and lack of attention to workforce management issues. Because most construction organisations operate on project bases, whereby some workers are employed for a particular project, the relationship between employers and employees becomes transient and fluid. This lack of attention to workforce management issues has contributed to the overall poor performance noticed in the construction industry of most countries worldwide. To address this problem, it is necessary to understand the practices needed for construction organisations to manage their workforce effectively.

The review of extant literature shows a wide range of studies on workforce management. Some of these studies have proposed several practices needed for organisations to improve the management of employees. However, the current fourth industrial revolution era, which is revolutionising every industry in countries worldwide, offers the construction industry an opportunity to solve its age-long problems through digital technologies. When adopted correctly, these technologies will also impact how workers are managed and the management practices adopted by construction organisations. However, the construction industry has been lagging in adopting these digital technologies compared to other sectors. This lag is not unconnected to the constant fear of job losses among construction workers, which has led to resistance to the use of technologies on the part of the construction workforce, as noticed within the industry. To alienate this fear and resistance to change among construction workers, adopting the right practices that will lead to effective management becomes crucial.

Therefore, this book explores construction workforce management in the fourth industrial revolution era. The book, through a critical review of existing related theories, models, and practices, unearths the gaps in existing construction workforce management studies and proposes a conceptual model designed to improve the management of workers in the construction industry. The conceptualised model was further examined through experts’ opinions to determine the suitability and applicability of the proposed workforce management practices and their attributed measurement variables. Furthermore, the book explored the impact of emerging digital technologies on construction workforce management while giving insight into the envisioned challenges of deploying digital tools for effective workforce management in construction.

This book is timely as it is designed to give direction for effectively managing the construction workforce. It promises value to readers as it presents a roadmap designed to ensure the effective management of workers within the construction industry. Owners of construction organisations can benefit from the conceptualised construction workforce management model proposed in the book in their quest for improved workers’ productivity. Also, the book will support construction regulatory bodies in ensuring organisations within the industry uphold proper workforce management practices. The book’s content will also benefit researchers seeking to expand the frontiers of knowledge on workforce management in construction. To this end, the authors confirm that the text utilised in this work reflects original work and, where necessary, the material has benefited from relevant context-setting / referencing.

Lerato Aghimien

Clinton Ohis Aigbavboa

Douglas Aghimien