Publication

Blockchain Technology to Support Employee Recruitment and Selection in Industrial Revolution 4.0

Fachrunnisa O., Rhemananda H., Simbolon D.R.

Abstract

Blockchain will come to pervade the business environment, bringing huge implications for HR and the workforce. There was also a sense that technology has eroded trust in recent years, especially with the growth of cyber risks, blockchain presents a way to use technology to win back that lost trust. HR functions need to start to include blockchain alongside other emerging technologies in formulating their digital strategy. Assessing the potential blockchain to enhance efficiency and effectiveness should be considered alongside the broader implications for the future of work. Having identified and unpacked the problem to be solved, a good next step is to start to create prototypes that can develop into proofs of concept (POCs) that will target the most valuable case usage. This article develops the concept of blockchain technology application in the field of human resource management, especially in the employee recruitment and selection process. The benefit from HR blockchain is targeting productivity gains. The enhanced ability to match people’s skills and performance to jobs would provide an uplift to productivity. Small and medium-sized enterprises (SMEs) may benefit particularly. The burden of finding and recruiting the right talent is especially difficult for smaller businesses, and anything that can help them do this more effectively and efficiently will boost their productivity. Hence, blockchain will simplify the process of employee selection and recruitment by helping to identify skills, knowledge, and experiences of potential candidates that are validated accurately. In the e-HRM context, the implementation of the blockchain system has the potential to improve the process of human resource management (HRM), specifically in the selection and recruitment process through screening of best candidates.

Journal

Lecture Notes in Networks and Systems

Page Range

305-311

Publication date

2021

Total citations

Cited by 24