The integration of Artificial Intelligence, and Analytics (AI&A) is fundamentally transforming organizational leadership and management practices (Brynjolfsson & Mitchell, 2017; Raisch & Krakowski, 2021). As these technologies become increasingly sophisticated and pervasive, they are creating unprecedented challenges and opportunities for leaders and managers across all sectors (Dwivedi et al., 2021). The rapid advancement of Generative AI (GenAI) and large language models is accelerating this transformation, requiring new frameworks for understanding effective leadership and management in digitally-transformed organizations.

Alongside these advancements, ensuring ethical and accountable use of AI&A has become a critical concern (Dennehy et al., 2022). Leaders must address complex issues, including algorithmic bias, data privacy, transparency, explainability, and the societal impact of automation. Responsible leadership involves not only leveraging these technologies for innovation and efficiency but also embedding ethical principles into their design, and implementation to build trust and develop sustainable organizational practices (Alshahrani et al., 2024; Floridi & Cowls, 2019). This responsibility is further compounded by the need to adapt traditional management theories and practices address the complexities of leading AI&A-enabled organizations (Raj & Seamans, 2019). Leaders must now balance human-centric approaches with data-driven decision making, while addressing critical concerns around AI governance, ethics, and responsible innovation (Westerman et al., 2022). The emergence of GenAI tools is further challenging conventional notions of knowledge work and requiring new models of human-AI collaboration (Kolbjornsrud, 2024; Simon et al., 2024).

This special issue aims to advance our understanding of how leadership and management practices are evolving in response to digital transformation and AI&A adoption. While previous special issues in Information Systems Frontiers have examined various aspects of digital transformation and AI implementation (e.g., Pappas et al., 2023), or focused solely on AI and Responsibility (e.g., Dennehy et al., 2022), this issue specifically focuses on the changing nature of leadership and management in AI-enabled organizations. We seek contributions that examine both theoretical frameworks and empirical evidence for effective leadership in the digital era.

Topics of interest include, but are not limited to: 

Leadership and Governance:

• AI&A governance frameworks and responsible leadership
• Ethical considerations in AI-enabled decision making
• Managing AI-human teams and collaboration
• Digital leadership competencies and development
• Trust building in AI&A-enabled organizations
• The role of IS in enhancing responsible AI&A practices

Strategic Management:

• AI&A strategy development and implementation
• Digital transformation leadership
• Innovation management in AI&A-enabled organizations
• Business model adaptation for the digital era
• Competitive dynamics in AI&A-intensive industries

Organizational Transformation:

• Change management for AI&A adoption
• Cultural transformation in digital organizations
• Talent management for AI&A-enabled organizations
• Knowledge management in the age of GenAI
• New organizational forms and structures

Human Capital Development:

• Leadership development for the digital era
• Building digital capabilities and competencies
• Managing hybrid human-AI workforces
• Upskilling and reskilling strategies
• Career development in AI-enabled organizations

 

Submission Guidelines

This special issue will consist of papers from two sources: (1) selected papers from the 2025 Leading and Managing in the Digital Era (LMDE) conference, and (2) submissions from an open call for papers. Papers from the LMDE conference must be substantially enhanced and will undergo the same rigorous peer review process as other submissions.

All submissions must follow the journal's standard formatting guidelines and be submitted through the editorial manager system: https://www.editorialmanager.com/isfi/default.aspx

Authors should aim for papers of approximately 25-30 pages (in submission format, 11 Font, 1.5 line spacing, including abstract, figures, tables, references and appendix). 

 

Important Dates

• Submission deadline: October 1, 2025
• First round reviews: February 1, 2026
• Revised manuscripts due: April 1, 2026
• Second round reviews: June 1, 2026
• Final versions due: September 1, 2026
• Tentative publication date: November 15, 2026 

 

Guest Editors

Nancy Pouloudi (This email address is being protected from spambots. You need JavaScript enabled to view it.), Athens University of Economics and Business

Anastasia Griva (This email address is being protected from spambots. You need JavaScript enabled to view it.), University of Galway

Ioannis Ntzoufras (This email address is being protected from spambots. You need JavaScript enabled to view it.), Athens University of Economics and Business

Gregory Prastacos (This email address is being protected from spambots. You need JavaScript enabled to view it.), Stevens Institute of Technology

Josep Tribo (This email address is being protected from spambots. You need JavaScript enabled to view it.), Stevens Institute of Technology

 

Athanasia (Nancy) Pouloudi is Professor of Information Systems Management and Vice-Rector of international Cooperation and Growth at the Athens University of Economics and Business, Greece. She is the Immediate Past President of the Association for Information Systems (AIS), where she had previously served as President (2023-2024), President-Elect (2022-2023) and Region 2 (Europe/Middle East/Africa) Representative (2010-2013). Her research focuses on organizational and social issues in information systems adoption and implementation. She is a Senior Editor of the European Journal of Information Systems and member of the Editorial Boards of the Journal of the AIS, Health Policy & Technology, and the International Journal of Society, Information, Communication & Ethics. She has served for several years on the Committees of the European (ECIS) and the Mediterranean (MCIS) Conference on Information Systems. Her international academic service has been recognized by the 2016 AIS Sandra Slaughter Service Award and the 2020 AIS Technology Challenge Award.

Anastasia Griva is an Assistant Professor of Business Information Systems and director of the MSc BA, at the University of Galway, Ireland. She has contributed to research commercialization by founding two AI and analytics start-ups that have raised over €1.6M in VC funding. Her research focuses on Responsible AI with an emphasis on Generative AI and Explainable AI, as well as Analytics and Innovation. She has published in academic journals, including Information Systems Journal, Information Systems Frontiers (ISF), IT & People, International Journal of Information Management (IJIM), Journal of Retailing and Consumer Services, IEEE Software, IEEE Transactions on Technology and Society, Transforming Government: People, Process and Policy. Anastasia has served as a Guest Editor in journals such as ISF, IJIM, and Journal of Decision Systems. She was also a Track Chair for the ‘AI in Research and Practice’ track at the European Conference on Information Systems (ECIS) for three years.

Ioannis Ntzoufras is Professor of Statistics and Head of the Department of Statistics at the Athens University of Economics and Business. He holds a Ph.D. in Statistics from AUEB, an M.Sc. in Statistics with Applications in Medicine (with distinction) from the University of Southampton, and a B.Sc. in Statistics and Insurance Science (with honors) from the University of Piraeus. His research interests include Bayesian and computational statistics, categorical data analysis, statistical modeling, model and variable selection methodologies, and applications in medical research, psychometrics, and sports analytics. He is the author of 72 peer-reviewed journal articles, which have received more than 6,000 citations and reflect an h-index of 29 on Google Scholar. He currently serves as an Associate Editor for the Journal of Quantitative Analysis in Sports and has previously served as an Associate Editor for the Journal of the Royal Statistical Society, Series C: Applied Statistics and a Guest Editor for a special issue of the IMA Journal of Management Mathematics entitled "Mathematics Meets Sports".

Gregory Prastacos is a Professor of Operations Research at the Stevens School of Business, where he also served as Dean (2012-24). He holds a PhD in Operations Research and an MSc and a BSc in Computer Science, all from Columbia University. Prior to joining Stevens, he was the Rector of the Athens University of Economics and Business, and before that, he was on the faculty of the University of Pennsylvania’s Wharton School. He has published extensively, and his papers have appeared in journals, such as Management Science, Operations Research, J of Management, Journal of the Operational Research Society, Journal of Heuristics, Computers and OR, and more. For his research, he has received a number of awards, including the Edelman Award by INFORMS. He is the founder and chair of AACSB’s Digital Transformation Affinity Group, and the Principal Investigator of the MaCuDE project (www.macude.org). He serves on the editorial boards of several journals.

Josep A. Tribo is a Professor of Strategy at the School of Business at Stevens Institute of Technology in New Jersey (US), where he teaches graduate and undergraduate courses on Strategy, Corporate Social Responsibility, Sustainability, Corporate Governance, and Corporate Finance. He also holds the position of Professor (on leave) at Carlos III University in Madrid (Spain). His research interests are Corporate Social Responsibility, Strategy, Innovation, Corporate Finance, Corporate Governance and Crowdfunding. Josep has published in refereed journals such as Academy of Management Journal, Strategic Management Journal, Journal of Industrial Economics, Research Policy, Journal of Business Ethics, Journal of Banking and Finance, Corporate Governance: An International Review among others, and has more than 11,000 citations. He serves on the editorial board of Corporate Governance: An International Review. His recent research is on digital transformation and enterprise resilience as well as sustainability and innovation.

 

References

Alshahrani A., Griva A., Dennehy D., Mäntymäki Μ. (2024), Artificial intelligence and decision-making in government functions: opportunities, challenges and future research. Transforming Government: People, Process and Policy, 18(4) 678-698.

Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? Workforce implications. Science, 358(6370), 1530-1534.

Dennehy D., Griva, A., Pouloudi N., Dwivedi Y. K., Mäntymäki M., Pappas I., (2022), Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI, Information Systems Frontiers, 25, 1-7

Dwivedi, Y. K., Hughes, L., Ismagilova, E., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

Floridi, L., & Cowls, J. (2019). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 1(1), 1-14.

Kolbjornsrud, V. (2024), Designing the Intelligent Organization: Six principles for Human-AI Collaboration. California Management Review, 66(2), 44-64

Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., & Krogstie, J. (2023). Responsible Digital Transformation for a Sustainable Society. Information Systems Frontiers, 25, 945-953.

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation-augmentation paradox. Academy of Management Review, 46(1), 192-210.

Raj, M., & Seamans, R. (2019). Artificial intelligence, labor, productivity, and the need for firm-level data. National Bureau of Economic Research Working Paper Series.

Simon, C, Revilla, E., Saenz, M. J. (2024). Integrating AI in organizations for value creation through Human-AI teaming: A dynamic capabilities approach. Journal of Business Research, 182, 114783

Westerman, G., Bonnet, D., & McAfee, A. (2022). Leading Digital: Turning Technology into Business Transformation. Harvard Business Review Press.