Overview
Background
Dr Ida Asadi Someh is a senior lecturer in the Business Information Systems discipline at the UQ Business School, The University of Queensland, Australia, and a research affiliate at the Centre for Information Systems Research (CISR), MIT Sloan School of Management, US. Her research focuses on organizational and societal impact of data, analytics and artificial intelligence. She completed her PhD in 2015 at The University of Melbourne and was awarded the best PhD thesis in Melbourne School of Engineering, and the Vice Chancellor’s PhD Prize at The University of Melbourne.
Ida teaches business analytics in undergraduate and postgraduate information systems programs. She previously has taught databases and data warehousing to both computing and information systems students.
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
2021
Other Outputs
Scaling AI to generate better and different outcomes
Wixom, Barbara H., Someh, Ida A. and Gregory, Robert W. (2021). Scaling AI to generate better and different outcomes. MIT CISR Research Briefing Cambridge, MA, United States: Massachusetts Institute of Technology.
2021
Journal Article
Algorithmic decision-making and system destructiveness: a case of automatic debt recovery
Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta and Gregor, Shirley (2021). Algorithmic decision-making and system destructiveness: a case of automatic debt recovery. European Journal of Information Systems, 31 (3), 1-26. doi: 10.1080/0960085X.2021.1960905
2021
Conference Publication
Value creation from data - Why is this a BPM problem?
Sadiq, Shazia, Someh, Ida Asadi, Chen, Tianwa and Indulska, Marta (2021). Value creation from data - Why is this a BPM problem?. International Workshop on BPM Problems to Solve Before We Die (PROBLEMS 2021) co-located with the 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, 6-10 September, 2021. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.
2021
Journal Article
Putting dignity at the core of employee data use
Leidner, Dorothy, Tona, Olgerta, Wixom, Barb and Someh, Ida (2021). Putting dignity at the core of employee data use. MIT Sloan Management Review, 1-5.
2021
Other Outputs
Make dignity core to employee data use
Tona, Olgerta, Leidner, Dorothy, Ionescu, Ramona, Wixom, Barbara and Someh, Ida (2021). Make dignity core to employee data use. MIT CISR Research Briefing Boston, MA, United States: MIT .
2021
Other Outputs
Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making
Rinta-Kahila, Tapani, Someh, Ida, Indulska, Marta, Ryan, Ian and van Leent, Ryan (2021). Building explainability into public sector artificial intelligence: helping stakeholders understand the thinking behind AI decision-making. SAP Thought Leadership Paper: Public Sector Brisbane, Australia: The University of Queensland; SAP SE.
2021
Conference Publication
A review of trust in artificial intelligence: challenges, vulnerabilities and future directions
Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664
2020
Other Outputs
AI alignment: a new management paradigm
Wixom, Barbara, Someh, Ida and Gregory, Robert (2020). AI alignment: a new management paradigm. Research Briefing Cambridge, MA, United States: MIT Sloan School of Management, Centre for Information Systems Research (CISR).
2020
Other Outputs
Satellogic: Moving from AI Solutions to AI Products
Wixom, Barbara H., Leidner, Dorothy E., Ionescu, Ramona M. and Someh, Ida A. (2020). Satellogic: Moving from AI Solutions to AI Products. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).
2020
Other Outputs
GE’s Environment, Health, and Safety team creates value using machine learning
Wixom, Barbara H., Someh, Ida A. and Beath, Cynthia M. (2020). GE’s Environment, Health, and Safety team creates value using machine learning. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).
2020
Other Outputs
The Australian Taxation Office: creating value with advanced analytics
Someh, Ida A., Wixom, Barbara H. and Gregory, Robert W. (2020). The Australian Taxation Office: creating value with advanced analytics. MIT CISR Working Paper: Case Study Cambridge, MA, United States: Massachusetts Institute of Technology Center for Information Systems Research (CISR).
2020
Other Outputs
Delivering AI programs in the public sector: guidelines for government leaders
Rinta-Kahila, Tapani, Someh, Ida, Gillespie, Nicole, Indulska, Marta, Gregor, Shirley , Van Leent, Ryan and Ryan, Ian (2020). Delivering AI programs in the public sector: guidelines for government leaders. Brisbane, Australia: The University of Queensland and SAP SE.
2020
Other Outputs
Explanation: a new enterprise data monetization capability for AI
Wixom, Barbara, Someh, Ida, Zutavern, Angela and Beath, Cynthia M. (2020). Explanation: a new enterprise data monetization capability for AI. CISR Working Paper. WP NO. 443. Center for Information Systems Research (CISR), Massachusetts Institute of Technology.
2020
Journal Article
Explanations as discourse : towards ethical big data analytics services
Afrashteh, Sadaf, Someh, Ida and Davern, Michael (2020). Explanations as discourse : towards ethical big data analytics services. Australasian Journal of Information Systems, 24 2519. doi: 10.3127/ajis.v24i0.2519
2020
Conference Publication
Enhancing fairness in algorithmic decision-making through perspective taking
Afrashteh, Sadaf, Davern, Michael and Someh, Ida Asadi (2020). Enhancing fairness in algorithmic decision-making through perspective taking. European Conference on Information Systems (ECIS), Marrakech, Morocco, 15 June 2020.
2020
Conference Publication
Overcoming organizational obstacles to artificial intelligence value creation: propositions for research
Someh, Ida, Wixom, Barbara and Zutavern, Angela (2020). Overcoming organizational obstacles to artificial intelligence value creation: propositions for research. Hawaii International Conference on System Sciences, Maui, HI, United States, 7-10 January 2020. Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2020.712
2019
Journal Article
New service-based business model requires new analytics
Someh, Ida and Wixom, Barbara (2019). New service-based business model requires new analytics. Business Intelligence Journal, 24 (1), 12-19.
2019
Journal Article
BBVA’s data monetization journey
Alfaro, Elena, Bressan, Marco, Girardin, Fabien, Murillo, Juan, Someh, Ida and H. Wixom, Barbara (2019). BBVA’s data monetization journey. MIS Quarterly Executive, 18 (2), 117-128. doi: 10.17705/2msqe.00011
2019
Journal Article
Ethical issues in big data analytics: A stakeholder perspective
Someh, Ida, Davern, Michael, Breidbach, Christoph F. and Shanks, Graeme (2019). Ethical issues in big data analytics: A stakeholder perspective. Communications of the Association for Information Systems, 44 (1) 34, 718-747. doi: 10.17705/1cais.04434
2019
Journal Article
Reconceptualizing synergy to explain the value of business analytics systems
Someh, Ida, Shanks, Graeme and Davern, Michael (2019). Reconceptualizing synergy to explain the value of business analytics systems. Journal of Information Technology, 34 (4), 371-391. doi: 10.1177/0268396218816210
Supervision
Availability
- Associate Professor Ida Asadi Someh is:
- Available for supervision
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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
Privacy-Preserving Data Governance Framework for Generative AI: Ensuring Ethical Use and Protection of Sensitive Information
Associate Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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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
Enquiries
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