Ida Asadi Someh

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. 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. 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. 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.

[2026] 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). Policing Insight [2026] 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). 59th Hawaii International Conference on System Sciences (HICSS), Maui, HI, United States, 6-9 January 2026. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/HICSS.2026.688 [2026] Algorithmic Decision-Making in Public Services: Two Empirical Cases of Algorithmic Incompetence. Akbarighatar, Pouria, Rinta-Kahila, Tapani and Someh, Ida Asadi (2026). Hawaii Interna