Overview
Background
Dr Ida Asadi Someh is an Associate Professor at the University of Queensland Business School, where her research helps organizations and senior executives lead effectively with data and artificial intelligence. Her work focuses on how organizations build enterprise‑wide capabilities around data and AI, including data democracy, AI governance, and value creation at scale. She provides executives with practical, research‑grounded guidance on how to design organizational structures, processes, and decision rights that enable data and AI to improve performance without creating hidden risk. A core focus of her work is close scrutiny of how data and AI systems can quietly generate risk and injustice, and how organizations can design governance, oversight, and control mechanisms that keep humans meaningfully in charge as these systems scale.
A defining feature of her profile is direct translation for executives. Over the past decade, Dr Asadi Someh has maintained a close research collaboration with the MIT Sloan Center for Information Systems Research, producing a large body of executive‑focused research outputs grounded in in‑depth case studies of real organizations implementing data and AI at scale. Her empirical work spans more than 60 cases across the public and private sectors, including organizations such as Microsoft, GE, Cemex, BBVA, Johnson & Johnson, Siemens, SAP, the Australian Taxation Office, and major public‑sector agencies. These cases examine how organizations actually govern data and AI in practice, how they build explanation capability, scale enterprise AI, redesign work, and manage the organizational tensions that arise between innovation, accountability, and public trust.
Dr Asadi Someh’s reseach has been published in leading journals such as Journal of Association for Information Systems, European Journal of Information Systems, Journal of Strategic Information Systems, Journal of Information Technology, MIT Sloan Management Review, and MIS Quarterly Executive. Her publications have received numerous prestigious awards, including the AIS Senior Scholar Best IS Publication Award, the Stafford Beer Medal, the Paul Gray Award for the most thought‑provoking paper, Society of Information Management Best Case competition and research impact awards.
Alongside her research, Dr Asadi Someh is a passionate educator committed to developing the next generation of data leaders. She is deeply motivated by the belief that data, analytics, and AI should be accessible to everyone. She led the redesign and launch of the University of Queensland’s Master of Business Analytics with the explicit aim of building data savviness across the business profession and equipping graduates to lead confidently in data‑ and AI‑driven organizations.
Finally, Dr Asadi Someh co‑leads the Emerging Technology Research Hub at UQ Business School, bringing together researchers, industry, and policymakers to generate evidence‑based insights on how emerging technologies that reshape organisations, markets, and governance, and how they can be translated into sustainable business and economic value.
Availability
- Associate Professor Ida Asadi Someh is:
- Available for supervision
Qualifications
- Doctor of Philosophy, University of Melbourne
Research interests
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Business Analytics
The goal of this research is to help organizations create value from business analytics systems. This research focuses on the use and value of data for decision making as well as data governance to better manage the risks associated with data-driven decision making.
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Big Data and Society
This research explores the impact of big data and artificial intelligence on society. It particularly focuses on issues related to ethics, privacy and accountability as data and algorithms become pervasively used for decision making. The goal of this research is to create pathways to better distribute the value of data-driven services between various stakeholders.
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Business Value of IT
The goal of this research is to help organizations maximise the value from their IT investments. It includes explaining how value is created as well as approaches to measure the impact of IT.
Works
Search Professor Ida Asadi Someh’s works on UQ eSpace
2026
Other Outputs
Accepted but not trusted: The continuum of legitimation of AI in policing
Pool, Javad, Indulska, Marta, Asadi, Ida, Sadiq, Shazia and Moss, Nick (2026, 04 23). Accepted but not trusted: The continuum of legitimation of AI in policing Policing Insight
2026
Conference Publication
Reframing talent management with AI: The organizing vision of skills intelligence
Morrill, Jake, Asadi Someh, Ida, Rinta-Kahila, Tapani, Jooss, Stefan, Tona, Olgerta and Van der Meulen, Nick (2026). Reframing talent management with AI: The organizing vision of skills intelligence. 9th Hawaii International Conference on System Sciences (HICSS), Hawaii, HI, United States, 6-9 January 2026. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/HICSS.2026.688
2025
Journal Article
Closing the gaps on inscrutability: tackling challenges with knowledge integration during AI development
Rinta-Kahila, Tapani, Someh, Ida, Darvishi, Ali, Bidar, Reihaneh and Indulska, Marta (2025). Closing the gaps on inscrutability: tackling challenges with knowledge integration during AI development. Australasian Journal of Information Systems, 29 5567, 1-31. doi: 10.3127/ajis.v29.5567
2025
Conference Publication
Riding the generative AI wave: a research agenda for navigating tensions and generating value
Someh, Ida Asadi, Duane, Ja-Nae, Van Der Meulen, Nick and Wixom, Barbara (2025). Riding the generative AI wave: a research agenda for navigating tensions and generating value. 58th Hawaii International Conference on System Sciences, Waikoloa Village, HI, United States, 7-10 January 2025. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2025.753
2025
Book Chapter
Creating value from Enterprise AI
Someh, Ida and Wixom, Barbara (2025). Creating value from Enterprise AI. Enterprise AI. (pp. 247-263) edited by Shazia Sadiq. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-01940-0_8
2025
Conference Publication
When welfare goes digital: lessons from the Dutch SyRI algorithm
Akbarighatar, Pouria, Rinta-Kahila, Tapani and Someh, Ida (2025). When welfare goes digital: lessons from the Dutch SyRI algorithm. 85th Academy of Management (AOM) Annual Meeting, Copenhagen, Denmark, 25-29 July 2025. Briarcliff Manor, NY, United States: Academy of Management. doi: 10.5465/AMPROC.2025.292bp
2025
Other Outputs
Community attitudes towards data analytics in law enforcement
Pool, J., Indulska, M., Someh, I. and Sadiq, S. (2025). Community attitudes towards data analytics in law enforcement. Brisbane, QLD, Australia: The University of Queensland and Queensland Police Service. doi: 10.14264/2178369
2024
Journal Article
Time to reassess data value: the many faces of data in organizations
Xu, Daisy, Indulska, Marta, Asadi Someh, Ida and Shanks, Graeme (2024). Time to reassess data value: the many faces of data in organizations. The Journal of Strategic Information Systems, 33 (4) 101863, 1-26. doi: 10.1016/j.jsis.2024.101863
2024
Journal Article
Integrating design thinking and agile approaches in analytics development: the case of Aginic
Brea, Edgar, Someh, Ida, Freya, Emma, Thebault, Brett and Sadiq, Shazia (2024). Integrating design thinking and agile approaches in analytics development: the case of Aginic. Journal of Information Technology Teaching Cases, 14 (2), 227-240. doi: 10.1177/20438869231178035
2024
Conference Publication
Time to Reassess Data Value: The Many Faces of Data in Organizations
Xu, Daisy, Indulska, Marta, Someh, Ida and Shanks, Graeme (2024). Time to Reassess Data Value: The Many Faces of Data in Organizations. 84th Annual Meeting of the Academy of Management (AOM 2024), Chicago, IL United States, 9-13 August 2024. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2024.10410abstract
2024
Conference Publication
Industrial Firm Becomes Digital and Then Cognitive Enterprise: How AI Transforms the Organization
Ellinger, Eleunthia Wong, Gregory, Robert Wayne and Someh, Ida (2024). Industrial Firm Becomes Digital and Then Cognitive Enterprise: How AI Transforms the Organization. 84th Annual Meeting of the Academy of Management (AOM 2024), Chicago, IL United States, 9-13 August 2024. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2024.17362abstract
2024
Conference Publication
Redesigning Work for Artificial Intelligence in the Public Sector
Bidar, Reihaneh, Someh, Ida, Rinta-Kahila, Tapani, Williams, Katie, Indulska, Marta and Ryan, Ian (2024). Redesigning Work for Artificial Intelligence in the Public Sector. 84th Annual Meeting of the Academy of Management (AOM 2024), Chicago, IL United States, 9-13 August 2024. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2024.15848abstract
2024
Journal Article
Managing unintended consequences of algorithmic decision-making: the case of Robodebt
Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta and Gregor, Shirley (2024). Managing unintended consequences of algorithmic decision-making: the case of Robodebt. Journal of Information Technology Teaching Cases, 14 (1), 165-171. doi: 10.1177/20438869231165538
2023
Conference Publication
Towards a reconceptualization of data in organizations: a literature review
Xu, Daisy, Someh, Ida Asadi and Indulska, Marta (2023). Towards a reconceptualization of data in organizations: a literature review. 31st European Conference on Information Systems (ECIS 2023), Kristiansand, Norway, June 10-17, 2023. Atlanta, GA United States: Association for Information Systems .
2023
Journal Article
The biggest business process management problems to solve before we die
Beerepoot, Iris, Di Ciccio, Claudio, Reijers, Hajo A., Rinderle-Ma, Stefanie, Bandara, Wasana, Burattin, Andrea, Calvanese, Diego, Chen, Tianwa, Cohen, Izack, Depaire, Benoît, Di Federico, Gemma, Dumas, Marlon, van Dun, Christopher, Fehrer, Tobias, Fischer, Dominik A., Gal, Avigdor, Indulska, Marta, Isahagian, Vatche, Klinkmüller, Christopher, Kratsch, Wolfgang, Leopold, Henrik, Van Looy, Amy, Lopez, Hugo, Lukumbuzya, Sanja, Mendling, Jan, Meyers, Lara, Moder, Linda, Montali, Marco, Muthusamy, Vinod ... Zerbato, Francesca (2023). The biggest business process management problems to solve before we die. Computers in Industry, 146 103837, 1-14. doi: 10.1016/j.compind.2022.103837
2023
Conference Publication
Building artifificial intelligence capability in the public sector
Rinta-Kahila, Tapani, Someh, Ida, Indulska, Marta and Ryan, Ian (2023). Building artifificial intelligence capability in the public sector. Australasian Conference on Information Systems, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA, United States: Association for Information Systems.
2023
Journal Article
Configuring relationships between analytics and business-domain groups for knowledge integration
Someh, Ida, Wixom, Barbara, Davern, Michael and Shanks, Graeme (2023). Configuring relationships between analytics and business-domain groups for knowledge integration. Association of Information Systems. Journal, 24 (2) 63, 592-618. doi: 10.17705/1jais.00782
2023
Other Outputs
Redesigning work with Artificial Intelligence
Bidar, Reihaneh, Someh, Ida, Rinta-Kahila, Tapani, Williams, Katie, Indulska, Marta and Ryan, Ian (2023). Redesigning work with Artificial Intelligence. SAP Thought Leadership Paper: Public Sector Brisbane, Australia; Canberra, Australia: The University of Queensland; SAP Institute for Digital Government. doi: 10.14264/6428cca
2022
Conference Publication
Data liquidity: conceptualization, measurement and determinants
Piccoli, Gabe, Rodriguez, J., Someh, Ida and Wixom, Barb (2022). Data liquidity: conceptualization, measurement and determinants. International Conference on Information Systems (ICIS), Copenhagen, Denmark, 11-14 December 2022. Atlanta, GA United States: Association for Information Systems.
2022
Other Outputs
Building AI explanation capability for the AI powered organization
Wixom, Barbara, Someh, Ida and Beath, Cynthia (2022). Building AI explanation capability for the AI powered organization. MIT CISR Research Briefing Boston, MA, United States: MIT.
Supervision
Availability
- Associate Professor Ida Asadi Someh is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Developing Data-Driven Organisations
Principal Advisor
Other advisors: Professor Marta Indulska, Dr Tapani Rinta-Kahila
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Master Philosophy
'Designing socio-technical controls for autonomous AI systems: An approach for responsible enterprise adoption'.
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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Master Philosophy
Evolving Expertise in the Software Industry with AI
Associate Advisor
Other advisors: Dr Tapani Rinta-Kahila
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Doctor Philosophy
A Process Oriented Approach to Value Creation from Data Products
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Improving Sepsis Management through Better Data and Rapid Learning
Associate Advisor
Other advisors: Professor Andrew Burton-Jones, Associate Professor Adam Irwin, Professor Marta Indulska
Media
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