Dr Anastasia Griva
Assistant Professor in Business Information Systems; Programme Director of the MSc in Business Analytics
J.E. Cairnes School of Business and Economics, University of Galway
Anastasia has worked on research commercialisation by establishing two AI and analytics start-ups which have raised more than 1.3 million from VC funds. Her research interests lie in the areas of Business Analytics, Artificial Intelligence, Innovation and Customer Behaviour. She has published in edited books, academic journals (e.g., Information Systems Frontiers, IT & People, International Journal of Information Management, Journal of Retailing and Consumer Services, Expert Systems with Applications, IEEE Software, Journal of Decision Systems), and proceedings of international conferences (e.g., ECIS, MCIS, EURO). She has served as a Guest Editor for various journals (e.g., ISF, IJIM, JDS). For the last three years, she has served as track chair for the AI in research and practice track at ECIS. Anastasia also was a Marie Sklodowska-Curie Postdoctoral Fellow recipient (ALECS fellowship) at Lero, where she worked on applied Business Analytics in software development projects with industry partners such as Intel.
Anastasia's work contributes to these SDGs
Anastasia was the winner of the Dean's Award for Inclusive Teaching in 2022 and was nominated for a teaching excellence award in 2021 and 2023.
Key Target: 17.6 Knowledge sharing and cooperation for access to science, technology and innovation
In 2023 the Lero Directors awarded Anastasia the Education and Public Engagement Prize. This recognises her extensive efforts in organising educational events, delivering workshops and webinars, and contributing to business journals, along with her active engagement in public discussions, distinguishing her as deserving recognition for her outstanding work. Additionally, she co-organises an annual international datathon with TBS education, bringing together students from the MSc in Business Analytics programme in Toulouse, France.
Teaching
Business Analytics and Decision-Making
Anastasia equips students with the skills to apply decision theory effectively and evaluate diverse decision-making approaches. Additionally, it provides a comprehensive understanding of analytics techniques for data-driven innovation in business contexts.
Supporting Targets: 9.5 Enhance research and upgrade industrial technologies
Artificial Intelligence and Responsibility
Addresses critical topics such as biases, explainable AI, and the ethical implications of black-box algorithms in AI applications. Students engage with real-world examples to understand the importance of transparency and accountability in AI systems, fostering responsible development and deployment practices for ethical AI innovation.
Supporting Targets: 9.5 Enhance research and upgrade industrial technologies
Engagement
Industry engagement with companies such as Intel, L'Oreal, Nestle, Carrefour, Erikson.
Researcher at Lero, the Science Foundation Ireland (SFI) Research Centre for Software.
Start-up mentor at Athens Center for Entrepreneurship and Innovation.
Co-organiser of international datathon with Toulouse Business School, France, and NTNU, Norway.
Member of the organising committee of 1st and 2nd Coding Bootcamps for High School Students.
Elected Academic Representative and Board Member for Efficient Consumer Response (ECR), Greece. The Greek retailer–manufacturer working group focused on creating innovative new ways to better manage retail problems.
Direct impact SDG Targets
1.4 - Equal rights to ownership, basic services, technology and economic resources
4.3 - Equal access to affordable technical, vocational and higher education
4.7 - Education for sustainable development and global citizenship
8.1 - Sustainable economic growth
8.2 - Diversify, innovate and upgrade for economic productivity
8.6 - Promote youth employment, education and training
8.9 - Promote beneficial and sustainable tourism
9.4 - Upgrade all industries and infrastructures for sustainability
9.5 - Enhance research and upgrade industrial technologies
16.7 - Ensure responsive, inclusive and representative decision-making
17.6 - Knowledge sharing and cooperation for access to science, technology and innovation
Indirect
1.A - Mobilize resources to implement policies to end poverty
3.4 - Reduce mortality from non-communicable diseases and promote mental health
5.B - Promote empowerment of women through technology
11.7 - Provide access to safe and inclusive green and public spaces
12.B - Develop and implement tools to monitor sustainable tourism
17.7 - Promote sustainable technologies to developing countries
17.14 - Enhance policy coherence for sustainable development
Research
Featured Publications
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References |
SDGs |
|---|---|
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Griva, A., Kotsopoulos, D., Karagiannaki, A. and 1 more (...) (2023). What do growing early-stage digital start-ups look like? A mixed-methods approach. International Journal of Information Management, 69. |
8 |
|
Zamani, E. D., Griva, A., Conboy, K. (2022). Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure. Information Systems Frontiers, 24(4), 1145-1166. |
9; 8.2, 8.3; 9.3, 9.5 |
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Dennehy, D., Griva, A., Pouloudi, N. and 3 more (...) (2023). Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI. Information Systems Frontiers, 25(1), 1-7. |
16.0, 16.a; 10.2 |
|
Griva, A. (2022). I can get no e-satisfaction: What analytics say? Evidence using satisfaction data from e-commerce. Journal of Retailing and Consumer Services, 66(2022). |
8.3; 9.0, 9.5 |
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Griva, A., Dennehy, D., Pappas, I., Mäntymäki, M., Pouloudi, N., Dwivedi, Y. K., Schmarzo, B. (2022). Artificial Intelligence and Analytics in Practice. Journal of Decision Systems. |
9.0, 9.5 |
|
Zamani, E., Griva, A., Spanaki, K., O’Raghallaigh, P., Sammon, D. (2021). Making sense of Business Analytics in project selection and prioritisation: Insights from the start-up trenches. Information Technology & People. |
8.3 |
|
Griva, A., Zampou, E., Stavrou, V., Papakiriakopoulos, D., Doukidis, G. (2022). A two-stage business analytics approach to perform behavioral and geographic customer segmentation. Journal of Decision Systems. |
10.3; 9.0, 9.5 |
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Griva, A., Byrne, S., Dennehy, D., Conboy, K. (2021). Software Requirements Quality: Using Analytics to Challenge Assumptions at Intel. IEEE Software, 39(2), 80-88. |
9.5 |
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Griva, A., Bardaki C., Pramatari K., Doukidis G. (2021). Factors affecting customer analytics: Evidence from three retail cases. Information Systems Frontiers, 24, 493-516. |
8.3 |
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Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y. K., Mäntymäki, M., Pappas, I. (2021). Responsible AI and Analytics for an Ethical and Inclusive Digitised Society. In Lecture Notes in Computer Science, 12896. Springer, Cham. ISBN: 978-3-030-85446-1. |
16.0, 16.a; 10.2 |
|
Griva, A., Kotsopoulos, D., Karagiannaki, A. and 1 more (...) (2023). What do growing early-stage digital start-ups look like? A mixed-methods approach. International Journal of Information Management, 69. |
8 |