The rise of algorithmic human resource management (HRM): Implications for organisations and employees

We are now living in a digital age, where data-fuelled and machine-learning algorithms are ubiquitous and increasingly permeating organizational life and changing the landscape of contemporary management. Organizations are increasingly relying on algorithms to allocate, direct, evaluate, monitor, and discipline workers in the workplace, leading to the rise of algorithm-enabled human resource management. This raises questions about how organizations can realize the benefits of algorithmic HRM while addressing the problems it generates and preventing harm to employees and other stakeholders. Although the concept of algorithmic HRM has been widely accepted, accompanying research is largely in its infancy. Due to limited extant research, many topics related to algorithmic HRM have not been well understood. Given that algorithmic HRM will play an increasingly important role in organizational life, it is time to generate a more in-depth understanding of this emerging but rapidly developing management style. This proposed cooperative project aims to bridge the gaps in the literature through an extensive literature review and case studies.