Digital transformation and technology in work and HRM

HRIR

Digital transformation and technology in work and HRM

Reshaping HRM for a digital world: Future-oriented, technology-enabled, human-centred.

Our Digital Transformation and Technology in HRM research theme investigates innovative approaches to managing human capital within increasingly digitised and automated work environments. It focuses on the strategic reconfiguration of HRM frameworks in response to technological disruption, examining how advanced technologies can enhance organisational capability, workforce productivity, and employee well-being.

The theme further explores the interaction between artificial intelligence, algorithmic decision-making, and employment/HRM practices, contributing to sustainability and the digital governance agenda by analysing how technology is reshaping employment relations, work design, and the nature of work. It also addresses critical challenges in contemporary digital workplaces, including digital burnout, data privacy concerns, and the ethical implications of workplace surveillance.

Overall, this research provides evidence-based insights and practical recommendations for both academia and industry, supporting the development of effective, future-oriented, and technology-enabled but human-centred HRM strategies and practices.

Our researchers

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Featured publications

  • Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., … Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606–659. https://doi.org/10.1111/1748-8583.12524
  • Wang, B., Saeed, S., Zhang, Y., Fang, X., & Yu, X. (2025). Does remote work adoption boost firm innovation? A cross-cultural study. The International Journal of Human Resource Management, 36(6), 895–924. https://doi.org/10.1080/09585192.2025.2484382
  • Wang, B., Liu, Y., Qian, J., & Parker, S. K. (2021). Achieving effective remote working during the COVID-19 pandemic: A work design perspective. Applied Psychology, 70(1), 16–59. https://doi.org/10.1111/apps.12290
  • Wang, B., Liu, Y., & Parker, S. K. (2020). How does the use of information communication technology affect individuals? A work design perspective. Academy of Management Annals, 14(2), 695–725. https://doi.org/10.5465/annals.2018.0127
  • Xiao, Q., Yan, J., & Bamber, G. J. (2025). How does AI-enabled HR analytics influence employee resilience: job crafting as a mediator and HRM system strength as a moderator. Personnel Review, 54(3), 824–843. https://doi.org/10.1108/PR-03-2023-0198
  • Yang, M. M., Lu, Y., & Cooke, F. L. (2026). Demystifying AI for the Workforce: The Role of Explainable AI in Worker Acceptance and Management Relations. Journal of Management Studies, 63(2), 438–472. https://doi.org/10.1111/joms.70039
  • Zhang, M. M., Cooke, F. L., Ahlstrom, D., & McNeil, N. (2025). The Rise of Algorithmic Management and Implications for Work and Organisations. New Technology, Work and Employment, 40(3), 659–671. https://doi.org/10.1111/ntwe.12343
  • Zhang, Z., Huang, Q., Yin, K., Zhang, H., Pei, J., & Cooke, F. L. (2026). Linking perceived algorithmic management and app-workers’ prosocial service behaviors: a needs satisfaction perspective. Journal of Managerial Psychology, 1–14. https://doi.org/10.1108/JMP-05-2025-0424
  • Zhou, L., Lei, X., Cooke, F. L., Huang, X., & Zhang, J. (2025). The Dual Effects of Algorithmic Management on Platform Workers: An Attribution Perspective. Human Resource Management, 64(6), 1687–1707. https://doi.org/10.1002/hrm.70009