Digitalisation of Personnel Recruitment and Selection
Book chapter
Chang, K., Carrim, N. M. H., Cheng, K. and Sandland, S. 2024. Digitalisation of Personnel Recruitment and Selection. in: Adisa, T. A. (ed.) HRM 5.0: Unpacking the Digitalisation of Human Resource Management Palgrave Macmillan. pp. 87-111
Authors | Chang, K., Carrim, N. M. H., Cheng, K. and Sandland, S. |
---|---|
Editors | Adisa, T. A. |
Abstract | Digitalisation has great potential to make our society fairer, more peaceful, and more just by reshaping the way it operates. Following the trend of technological development, digitisation and its innovations have revolutionised how businesses communicate, collaborate, make decisions, and operate efficiently. In the field of personnel recruitment and more specifically, selection process, the design and implementation of digitisation is rapidly advancing, supporting both managers and organisations to secure the best quality job applicants, offering a fairer and more efficient employee recruiting service. Despite the great applicability and functionality of digitalisation-empowered recruitment and selection process, managers, employees, stakeholders, and job applicants still have mixed viewpoints, and each has its own merits. Thus, the current chapter has analysed and discussed these diverse views, aiming to consolidate the knowledge and user experiences of digitalisation applications in personnel recruitment and selection process. Sample cases are introduced and critically reviewed. Ethical concerns and implications are reviewed and discussed in line with the personnel recruitment practices. Limitations and suggestions for future studies are also addressed. |
Book title | HRM 5.0: Unpacking the Digitalisation of Human Resource Management |
Page range | 87-111 |
Year | 2024 |
Publisher | Palgrave Macmillan |
File | License File Access Level Anyone |
Publication dates | |
Online | 17 Jul 2024 |
Publication process dates | |
Deposited | 08 Aug 2024 |
Edition | 1 |
ISBN | 9783031589126 |
9783031589119 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-58912-6_5 |
Copyright holder | © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG |
https://repository.uel.ac.uk/item/8y16v
Restricted files
File
54
total views0
total downloads24
views this month0
downloads this month