Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes
Author
Abstract
Suggested Citation
DOI: 10.1007/s10796-022-10251-y
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Sandy Q. Qu & John Dumay, 2011. "The qualitative research interview," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 8(3), pages 238-264, August.
- Sandy Q. Qu & John Dumay, 2011. "The qualitative research interview," Qualitative Research in Accounting & Management, Emerald Group Publishing Limited, vol. 8(3), pages 238-264, August.
- Mark O Lewis & Lars Mathiassen & Arun Rai, 2011. "Scalable growth in IT-enabled service provisioning: a sensemaking perspective," European Journal of Information Systems, Taylor & Francis Journals, vol. 20(3), pages 285-302, May.
- Zhang, Dan & Pee, L.G. & Cui, Lili, 2021. "Artificial intelligence in E-commerce fulfillment: A case study of resource orchestration at Alibaba’s Smart Warehouse," International Journal of Information Management, Elsevier, vol. 57(C).
- Mariani, Marcello M. & Nambisan, Satish, 2021. "Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
- Balasubramaniam Ramesh & Lan Cao & Jongwoo Kim & Kannan Mohan & Tabitha L. James, 2017. "Conflicts and complements between eastern cultures and agile methods: an empirical investigation," European Journal of Information Systems, Taylor & Francis Journals, vol. 26(2), pages 206-235, March.
- Trocin, Cristina & Hovland, Ingrid Våge & Mikalef, Patrick & Dremel, Christian, 2021. "How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Collins, Christopher & Dennehy, Denis & Conboy, Kieran & Mikalef, Patrick, 2021. "Artificial intelligence in information systems research: A systematic literature review and research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
- Tan Trung Luong & Uthayasankar Sivarajah & Vishanth Weerakkody, 2021. "Do Agile Managed Information Systems Projects Fail Due to a Lack of Emotional Intelligence?," Information Systems Frontiers, Springer, vol. 23(2), pages 415-433, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.
- Haochen Guo & Petr Polak, 2023. "Intelligent finance and change management implications," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Won, Jongho & Lee, Daeho & Lee, Junmin, 2023. "Understanding experiences of food-delivery-platform workers under algorithmic management using topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Schuster, Roseanne C. & Brewis, Alexandra & Wutich, Amber & Safi, Christelle & Vanrespaille, Teresa Elegido & Bowen, Gina & SturtzSreetharan, Cindi & McDaniel, Anne & Ochandarena, Peggy, 2023. "Individual interviews versus focus groups for evaluations of international development programs: Systematic testing of method performance to elicit sensitive information in a justice study in Haiti," Evaluation and Program Planning, Elsevier, vol. 97(C).
- Venturelli, Andrea & Ligorio, Lorenzo & de Nuccio, Elbano, 2023. "Biodiversity accountability in water utilities: A case study," Utilities Policy, Elsevier, vol. 81(C).
- Nordin, Fredrik & Ravald, Annika, 2023. "The making of marketing decisions in modern marketing environments," Journal of Business Research, Elsevier, vol. 162(C).
- Nawaz, Muhammad Zahid & Nawaz, Shahid & Guzmán, Francisco & Plotkina, Daria, 2023. "The aftermath of Covid-19: The rise of pandemic animosity among consumers and its scale development," Journal of Business Research, Elsevier, vol. 157(C).
- Juan Francisco Velasco-Muñoz & José Ángel Aznar-Sánchez & Belén López-Felices & Gabriella Balacco, 2022. "Adopting sustainable water management practices in agriculture based on stakeholder preferences," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(9), pages 317-326.
- Centobelli, Piera & Cerchione, Roberto & Maglietta, Amedeo & Oropallo, Eugenio, 2023. "Sailing through a digital and resilient shipbuilding supply chain: An empirical investigation," Journal of Business Research, Elsevier, vol. 158(C).
- Gill, Chelsea & Mehrotra, Vishal & Moses, Olayinka & Bui, Binh, 2023. "The impact of the pitching research framework on AFAANZ grant applications," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
- Rebecca Reynolds & Julie Aromi & Catherine McGowan & Britt Paris, 2022. "Digital divide, critical‐, and crisis‐informatics perspectives on K‐12 emergency remote teaching during the pandemic," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1665-1680, December.
- Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
- Francesco Badia & Grazia Dicuonzo & Saverio Petruzzelli & Vittorio Dell’Atti, 2019. "Integrated reporting in action: mobilizing intellectual capital to improve management and governance practices," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(2), pages 299-320, June.
- Pina Puntillo & Carmela Gulluscio & Donald Huisingh & Stefania Veltri, 2021. "Reevaluating waste as a resource under a circular economy approach from a system perspective: Findings from a case study," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 968-984, February.
- Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
- Jana Kozáková & Mária Urbánová & Radovan Savov, 2021. "Factors Influencing the Extent of the Ethical Codes: Evidence from Slovakia," JRFM, MDPI, vol. 14(1), pages 1-18, January.
- Tom Sander & Phoey Lee Teh & Biruta Sloka, 2014. "The use of Social Network Sites for the Employment Seeking Process," Proceedings of International Academic Conferences 0702459, International Institute of Social and Economic Sciences.
- Giorgia Nigri & Mara Del Baldo & Armando Agulini, 2020. "Governance and accountability models in Italian certified benefit corporations," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(5), pages 2368-2380, September.
- Pramanik, Paritosh & Jana, Rabin K. & Ghosh, Indranil, 2024. "AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Saeid Homayoun & Mohammadreza Pazhohi & Hashem Manzarzadeh Tamam, 2024. "The Effect of Innovation and Information Technology on Financial Resilience," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
- Boccali, Filippo & Mariani, Marcello M. & Visani, Franco & Mora-Cruz, Alexandra, 2022. "Innovative value-based price assessment in data-rich environments: Leveraging online review analytics through Data Envelopment Analysis to empower managers and entrepreneurs," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
- Zhiyu Cao & Zihan Chen & Prerna Mishra & Hamed Amini & Zachary Feinstein, 2023. "Modeling Inverse Demand Function with Explainable Dual Neural Networks," Papers 2307.14322, arXiv.org, revised Oct 2023.
More about this item
Keywords
AI governance; AI data governance; AI challenges and outcomes; Performance gains; Competitive advantage;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:25:y:2023:i:1:d:10.1007_s10796-022-10251-y. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.