Ilias Pappas is a Full Professor of Information Systems at the Department of Information Systems, University of Agder (UiA), Norway.
His research and teaching activities include data science and digital transformation, human-centered AI, user experience in different contexts, as well as digital marketing, e-services, and information technology adoption. He has a key interest in applications of fuzzy-set Qualitative Comparative Analysis (fsQCA). Pappas has led or worked on EU-funded projects (Horizon2020, Horizon Europe) and National Funded Projects (Research Council of Norway) among others. Focus has been on human-centered AI, data analytics, and innovation through collaboration platforms.
He has published over 100 articles in peer reviewed journals and conferences including the European Journal of Information Systems, Journal of Business Research, European Journal of Marketing, Computers in Human Behavior, Information & Management, Psychology & Marketing, International Journal of Information Management, Journal of Systems and Software.
He currently serves as an Associate Editor for the Journal of Business Research, Communications of the AIS, Behaviour & Information Technology, and the International Journal of Information Management Data Insights. Also, he is an Executive Editor for Information Systems Frontiers journal.
Pappas has been a Guest Editor for the journals Information & Management, Technological Forecasting and Social Change, Information Systems Frontiers, Information Technology & People, and Information Systems and e-Business Management. He is or has been a track chair on Artificial Intelligence as well as on Big Data Analytics at the European Conference on Information Systems (ECIS), the Americas Conference on Information Systems (AMCIS), and the Mediterranean Conference on Information Systems (MCIS), and on Information Management at the IEEE Conference on Business Informatics (CBI).
He serves as the vice-chair of the IFIP Working Group 6.11: Communication Aspects of the E-World. Pappas is a recipient of ERCIM and Marie Skłodowska-Curie fellowships.
Need to book a meeting? You can see my availability here
For up to date information please visit the Human-Centered AI (HCAI) group webpage.
AGORA: trAining younG researchers On shaping MetaveRse for business and social vAlue
Funding Agency: European Commission, HORIZON-MSCA-2022-DN-01-01
Total amount: 4M Euro
AGORA project is a research and educational programme of doctoral studies which aims to train the next
generation of Metaverse researchers and practitioners who will be able to address the ecosystem challenges identified, and co-create new knowledge and solutions across sectors and industries. This is possible thanks to the close collaboration between academic and non-academic beneficiaries and associated partners, that promises to lead to superior understanding and potential, drawing from academic excellence (on Ethics and Information Sciences, Computing and Infrastructure, Business and Management) and hands on industrial insights (with focus on Innovation, business models, Human Resources, and Financial Technologies).
FAME – Federated decentralized trusted dAta Marketplace for Embedded finance
Total amount: 16M Euro
Funding Agency: European Commission, HORIZON-CL4-2022-DATA-01-04
FAME is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance to develop, deploy and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi). The FAME marketplace will alleviate the proclaimed limitations of centralized cloud marketplaces towards demonstrating the full potential of the data economy. In this direction, the project will enhance a state of the art data marketplace infrastructure (i.e., H2020 i3-Market marketplace) with novel functionalities.
Funding Agency: The Research Council of Norway, ICTPlus
Total amount: 20MNOK
The AI4Users project addresses the “black box” problem contributing to the responsible use of AI for the digitalisation of public services. The novelty of AI4Users is that it targets specifically non-experts extending the reach of research beyond data scientists. The project takes a human-centred perspective addressing the needs of different groups including citizens, case handlers at the operational level, middle managers and policy makers. Specifically the project includes a) design, prototyping and assessing tools enabling different categories of non-experts to maintain insight into AI applications, b) formalization of the design knowledge generated in actionable design principles, c) capacity building through collaborations between academia and the public sector nationally and internationally.
Frida@work: Investigating uncompleted chatbot conversations
Funding Agency: Norwegian Labour and Welfare Administration (NAV)
Total amount: 1MNOK
Learning Analytics in Practice to improve student engagement and performance in class.
Funding Agency: University of Agder, Norway
Total amount: 200KNOK
The project is focused on student-active forms of learning with the use of learning analytics (LAs). This can help us visualize the state of students’ (individuals and as a whole) knowledge and present the visualization to students, instructors and academic advisors. This can help students in facilitating their metacognitive activities and promoting self-reflection and awareness. Additionally, teachers would gain the precious insights in knowledge, progress and misconceptions of their students
Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2018). Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. Information Systems and e-Business Management, 16(3).
Pappas, I. O. (2018). User experience in personalized online shopping: a fuzzy-set analysis. European Journal of Marketing, 52 (7/8), 1679-1703.
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578.
Berg, V., Birkeland, J., Pappas, I. O., & Jaccheri, L. (2018). The Role of Data Analytics in Startup Companies: Exploring Challenges and Barriers. In Conference on e-Business, e-Services and e-Society (pp. 205-216). Springer, Cham.
Berg, V., Birkeland, J., Nguyen-Duc, A., Pappas, I., & Jaccheri, L. (2018). Software Startup Engineering: A Systematic Mapping Study. Journal of Systems and Software.
Papamitsiou, Z., Economides, A. A., Pappas, I. O., & Giannakos, M. N. (2018, March). Explaining learning performance using response-time, self-regulation and satisfaction from content: an fsQCA approach. In Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 181-190). ACM.
Pappas, I., Jaccheri, L., Mikalef, P., & Giannakos, M. (2017). Social Innovation and Social Entrepreneurship through Big Data: Developing a Research Agenda. In 11th Mediterranean Conference on Information Systems (MCIS), Genoa, Italy.
Pappas, I. O., Giannakos, M. N., & Sampson, D. G. (2017). Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research. Computers in Human Behavior.
Pappas, I. O., Giannakos, M. N., Jaccheri, L., & Sampson, D. G. (2017). Assessing student behavior in computer science education with an fsQCA approach: The role of gains and barriers. ACM Transactions on Computing Education (TOCE), 17(2), 10.
Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N., & Chrissikopoulos, V. (2017). Sense and sensibility in personalized e‐commerce: How emotions rebalance the purchase intentions of persuaded customers. Psychology & Marketing, 34(10), 972-986.
Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N., & Lekakos, G. (2017). The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach. Telematics and Informatics, 34(5), 730-742.
Pappas, I. O., Kourouthanassis, P. E., Giannakos, M. N., & Chrissikopoulos, V. (2016). Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions. Journal of Business Research, 69(2), 794-803.
Pappas, I. O., Giannakos, M. N., & Jaccheri, L. (2016, July). Investigating factors influencing students' intention to dropout computer science studies. In Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education (pp. 198-203). ACM.
Sist endret: 10.06.2023 10:06