Symbiotic Leadership Between Humans and Artificial Intelligence: Reconstructing the Role of Leaders in Algorithm-Based Organizations

Authors

  • Nuri Shafi Alya Universitas Trunodjoyo Madura
  • Muhammad Adib Auladi Universitas Trunodjoyo Madura
  • Widya Permata Sari Universitas Trunodjoyo Madura
  • Mochammad Isa Anshori Universitas Trunodjoyo Madura

DOI:

https://doi.org/10.55606/jupsim.v5i2.7107

Keywords:

Algorithm-Based Organizations, Artificial Intelligence, Digital Leadership, Human-AI Collaboration, Symbiotic Leadership

Abstract

Digital transformation driven by the advancement of Artificial Intelligence (AI) has significantly reshaped leadership dynamics in modern organizations, particularly in algorithm-based decision-making processes. This study aims to analyze and formulate the concept of symbiotic leadership between humans and AI as an adaptive leadership model in the digital era. The research employs a Systematic Literature Review (SLR) method by examining reputable academic articles published within the last five years that are relevant to leadership and technology. The findings indicate that leadership is shifting from a traditional role as a sole decision-maker to a facilitator of collaboration between humans and AI systems, emphasizing the integration of technological analytical capabilities with human contextual and ethical judgment. Furthermore, leadership effectiveness in algorithm-based organizations is strongly influenced by digital literacy, adaptability, and the ability to manage issues related to ethics, transparency, and trust. Therefore, symbiotic leadership emerges as a relevant approach to bridge the gap between technological advancement and human-centered needs in modern organizations. Overall this perspective reinforces the importance of balancing innovation with responsibility while ensuring that human values remain central in decision-making processes supported by intelligent systems in contemporary organizational contexts and sustainable future development goals across industries globally today in practice effectively.

References

Akbar, M., Firmansyah, R., Pratama, A. D., & Nugroho, H. (2025). Blockchain-based leadership transformation in modern organizations. Jurnal Manajemen Digital, 8(2), 145–159. https://doi.org/10.37641/jimkes.v13i2.3232

Albab, R., Kurniawan, D., Saputra, M. I., & Hidayat, N. (2023). Sustainable artificial intelligence adoption in modern organizations. Journal of Sustainable Business and Technology, 12(1), 77–91. https://doi.org/10.1016/j.susbtech.2023.01.004

Avrillia, N., Putri, S. A., Mahendra, F., & Wijaya, R. (2025). Hybrid leadership in managing dynamic digital teams. Jurnal Manajemen dan Organisasi, 11(1), 55–70. https://doi.org/10.38156/imka.v5i1.540

Booth, A., Sutton, A., & Papaioannou, D. (2021). Systematic approaches to a successful literature review (3rd ed.). Sage Publications.

Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225. https://doi.org/10.1016/j.ijinfomgt.2020.102225

Brynjolfsson, E., & McAfee, A. (2021). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

Davenport, T. H., 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. https://doi.org/10.1007/s11747-019-00696-0

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J. S., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

George, G., Lakhani, K. R., & Puranam, P. (2021). What has changed? The impact of artificial intelligence on the innovation process. Academy of Management Discoveries, 7(1), 1–8. https://doi.org/10.5465/amd.2019.0274

Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda. Technological Forecasting and Social Change, 162, 120392. https://doi.org/10.1016/j.techfore.2020.120392

Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9

Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366–410. https://doi.org/10.5465/annals.2018.0174

Kitchenham, B., Brereton, P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2020). Systematic literature reviews in software engineering—A tertiary study. Information and Software Technology, 104, 1–14.

Linnenluecke, M. K., Marrone, M., & Singh, A. K. (2020). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194. https://doi.org/10.1177/0312896219877678

Makarius, E. E., Mukherjee, D., Fox, J. D., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262–273. https://doi.org/10.1016/j.jbusres.2020.07.045

Meijerink, J., & Bondarouk, T. (2021). The duality of algorithmic management: Toward a research agenda on HRM algorithms, autonomy and value creation. Human Resource Management Review, 31(1), 100876. https://doi.org/10.1016/j.hrmr.2020.100876

Minbaeva, D. (2021). Disruptive HRM technologies: A systematic review of artificial intelligence in human resource management. Human Resource Management Review, 31(4), 100818. https://doi.org/10.1016/j.hrmr.2020.100818

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

Paul, J., & Criado, A. R. (2020). The art of writing literature review: What do we know and what do we need to know? International Business Review, 29(4), 101717. https://doi.org/10.1016/j.ibusrev.2020.101717

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072

Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2020). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 61(4), 1–10.

Sjödin, D., Parida, V., Jovanovic, M., & Visnjic, I. (2021). Value creation and value capture alignment in business model innovation: A process view on outcome-based business models. Journal of Product Innovation Management, 38(2), 158–183. https://doi.org/10.1111/jpim.12567

Downloads

Published

2026-05-21

How to Cite

Nuri Shafi Alya, Muhammad Adib Auladi, Widya Permata Sari, & Mochammad Isa Anshori. (2026). Symbiotic Leadership Between Humans and Artificial Intelligence: Reconstructing the Role of Leaders in Algorithm-Based Organizations . Jurnal Publikasi Sistem Informasi Dan Manajemen Bisnis, 5(2), 489–499. https://doi.org/10.55606/jupsim.v5i2.7107