Artificial Intelligence and the Future of Workforce Management in the Call Centre Industry

Authors

  • Shoayb Sheik Emam Academic
  • Roshanlal Sookdeo

Keywords:

Artificial Intelligence, Call Centre Operations, South Africa, Global Business Services, Employee Perceptions, Customer Experience, Service Industry Transformation

Abstract

This article examines the influence of Artificial Intelligence (AI) on call centre operations management in South Africa, a key hub within the global business services sector. Adopting a qualitative, interpretivist design, the study explores how AI adoption reshapes efficiency, job roles, and customer experience. Semi-structured interviews were conducted with 15 participants, comprising call centre agents, team leaders, and operations managers, reflecting the perspectives of employees directly involved in AI-enabled systems. Thematic analysis revealed a dual narrative: AI improves productivity and customer satisfaction, but also generates challenges linked to job security, learning demands, and the erosion of the human touch in service delivery. The findings highlight the need for a balanced approach where AI handles routine processes while employees focus on empathy-driven tasks in customer interactions.

Author Biography

Roshanlal Sookdeo

PhD Student

References

Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285.

Business Process Enabling South Africa (BPESA). (2022). South Africa’s global business services sector report. https://www.bpesa.org.za

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. London: Sage Publications.

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. New York: W.W. Norton & Company.

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, California: Sage Publications.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24-42.

Hu, X., Gao, H., Agafari, T., Zhang, M. Q., & Cong, R. (2025). How and when artificial intelligence adoption promotes employee knowledge sharing? The role of paradoxical leadership and technophilia. Frontiers in Psychology, 16, Article 1573587.

Huang, M. H., & Rust, R. T. (2021). Engaged to a Robot? The Role of AI in Service. Journal of Service Research, 24(1), 3–20.

Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63(1), 37–50.

Lewis, L. K. (2019). Organizational change: Creating change through strategic communication (2nd ed.). Hoboken, New Jersey: Wiley-Blackwell.

Poisat, P., Cullen, M., & Calitz, A. P. (2024). Human resource managers’ perceptions on the impact of AI on the South African workforce. SA Journal of Human Resource Management, 22, a2593.

Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J. F., Breazeal, C., & Wellman, M. (2021). Machine behaviour. Nature, 568, 477–486.

Saunders, B., Sim, J., Kingstone, T., Baker, S., Waterfield, J., Bartlam, B., Burroughs, H., & Jinks, C. (2019). Saturation in qualitative research: Exploring its conceptualization and operationalization. Quality & Quantity, 52(4), 1893–1907.

Statistics South Africa. (2023). Quarterly labour force survey: Quarter 2, 2023. https://www.statssa.gov.za

TechCabal. (2025, June 4). South African startup Botlhale AI is building multilingual AI for call centres. https://techcabal.com

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204.

WhichVoIP. (2023). Is AI making call centres better? https://whichvoip.co.za

Downloads

Published

2025-12-05

How to Cite

Sheik Emam, S., & Sookdeo, R. (2025). Artificial Intelligence and the Future of Workforce Management in the Call Centre Industry. Acta Universitatis Danubius. Administratio, 17(1), 193–209. Retrieved from https://dj.univ-danubius.ro/index.php/AUDA/article/view/3609

Issue

Section

Articles