Stella Pachidi is a Senior Lecturer in Technology and Work at King’s Business School.

Her research interests lie in the intersection of technology, work and organising. Her current research projects include the introduction of artificial intelligence technologies in organisations and their impact on knowledge work and the production of knowledge, managing challenges in the workplace during digital transformation, and practices of knowledge collaboration across boundaries.

Stella is keen to understand and explain the significant impact of artificial intelligence and other algorithmic technologies on work, organisations and society. She studies the use of these technologies using qualitative research methods, through the lenses of practice theory, knowing, sociomateriality, temporality, and performativity. Informed by her former background in computer science, Stella’s research takes a holistic approach: she strives to develop a deep understanding of both the work that goes into developing the technology, and how the materiality of the technology gets entwined with its implementation and use. In her research, she is particularly interested in how work practices change as emerging (and continuously evolving) digital technologies are introduced in the workplace; how the regime of knowing transforms; how expertise is redistributed; and how those transformations are managed at the organisational and occupational level.

Stella has published articles in information systems and organisation journals and books including Organization Science, Information and Organization, Organization Theory, Journal of the Association for Information Systems, Academy of Management Discoveries, Journal of Management Inquiry, MIS Quarterly Executive, Computers in Human Behavior, and The Routledge Companion to Management Information Systems. She has presented her work at various major conferences in the fields of technology and organisations including the Academy of Management Meeting, the International Conference on Information Systems, the European Group for Organizational Studies Colloquium, and the Process Symposium, among others.

Stella serves as a Senior Editor of Information and Organization. She is also a member of the editorial review boards of Organization Science and Information Systems Research. Currently, she is also a guest editor of the Journal of Management Studies special issue on Artificial Intelligence: Organizational Possibilities and Pitfalls.

Stella has teaching experience on all levels (undergraduate, MPhil, MBA/EMBA, executive education) on the topics of digital business, digital innovation, digital transformation, information systems, artificial intelligence in business and society, collaborating for innovation, AI/GenAI implementation, and AI and the future of work. She has also had experience engaging with organisational leaders and policy advisors on issues related to the implementation of AI and the future of work. In 2021, Stella was listed by Poets&Quants in their list of Best 40 Under 40 Professors.

Stella is a Research Fellow of Judge Business School at the University of Cambridge. She is also a member of the AI@Work Research Group at KIN Center for Digital Innovation, Vrije Universiteit Amsterdam, a collaborator of the Research Group on Complex Collaboration at McGill University, and associated faculty at Cambridge Digital Innovation research centre.

Before joining King’s Business School, Stella was an Assistant Professor in Information Systems at Judge Business School, University of Cambridge. Stella holds a PhD in Business Administration from VU University Amsterdam, an MSc in Business Informatics from Utrecht University, and an MSc in Electrical and Computer Engineering from National Technical University of Athens.

Selected publications:

• Pachidi, S., Berends, H., Faraj, S., & Huysman, M. (2021). Make way for the algorithms: Symbolic actions and change in a regime of knowing. Organization Science, 32(1), 18-41.

• Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and organizing in the age of the learning algorithm. Information and Organization 28(1): 62-70.

• Benbya, H., Pachidi, S., & Jarvenpaa, S. (2021). Special Issue Editorial: Artificial Intelligence in Organizations: Implications for Information Systems Research. Journal of the Association for Information Systems, 22(2), 282-303.
• Benbya, H., Davenport, T. H., & Pachidi, S. (2020). Artificial Intelligence in organizations: Current state and future opportunities. MIS Quarterly Executive, 19(4).

Dr Pachidi is currently accepting new PhD students.