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

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Dr Anastasia Griva

Anastasia has worked on research commercialization by establishing two AI and analytics start-ups which have raised more than 1.3M 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 3 years, she serves 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

SDG 1,3,4,5,8,9,11,12,16,17

Anastasia was the winner of the Deans 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 Director’s awarded Anastasia with the Education and Public Engagement Prize. This recognises, her extensive efforts in organizing educational events, delivering workshops and webinars, and contributing to business journals, along with her active engagement in public discussions, distinguish her as deserving recognition for her outstanding work. Additionally, she co-organizes an annual international datathon with TBS education, bringing together students from the MSc in Business Analytics program in Toulouse, France.



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


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 organization committee of 1st and 2nd Coding Bootcamp 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 the 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


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

SDG wheel
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Photo by h heyerlein on Unsplash

Photo by h heyerlein on Unsplash


a city square with flowers and a clock tower in the background

Photo by Daniel Zbroja on Unsplash

Photo by Daniel Zbroja on Unsplash

Featured Publications



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


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

SDG 9- SDG 8.2,8.3, SDG 9.3, 9.5

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

SDG 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).

SDG 8.3, SDG 9.0, 9.5

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. 

SDG 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. 

SDG 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.

SDG 10.3, 9.0, 9.5

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. 

SDG 9.5

Griva, A., Bardaki C., Pramatari K., Doukidis G. (2021), Factors affecting customer analytics: Evidence from three retail cases, Information Systems Frontiers,24, 493-516.

SDG 8.3

Dennehy D., Griva A., Pouloudi N., Dwivedi YK., Mäntymäki, M., Pappas, I., (2021), Responsible AI and Analytics for an Ethical and Inclusive Digitised Society, Lecture Notes in Computer Science, vol 12896. Springer, Cham. ISBN: 978-3-030-85446-1

SDG 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


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