Blar i Department of Information and Communication Technology på forfatter "Pappas, Ilias"
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AI-enabled adaptive learning systems: A systematic mapping of the literature
Kabudi, Tumaini; Pappas, Ilias; Olsen, Dag Håkon (Peer reviewed; Journal article, 2021)Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled ... -
Big Data Analytics Affordances for Social Innovation: A Theoretical Framework
Pappas, Ilias; Thapa, Devinder (Journal article; Peer reviewed, 2021) -
Developing human/AI interactions for chat-based customer services: lessons learned from the Norwegian government
Vasilakopoulou, Polyxeni; Haug, Arve; Salvesen, Leif Martin; Pappas, Ilias (Peer reviewed; Journal article, 2022) -
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data
Pappas, Ilias; Sharma, Kshitij; Mikalef, Patrick; Giannakos, Michail (Journal article; Peer reviewed, 2020) -
Identifying the combinations of motivations and emotions for creating satisfied users in SNSs : An fsQCA approach
Pappas, Ilias; Papavlasopoulou, Sofia; Mikalef, Patrick; Giannakos, Michail (Journal article; Peer reviewed, 2020) -
Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Dwivedi, Yogesh K.; Hughes, Laurie; Baabdullah, Abdullah M.; Ribeiro-Navarrete, Samuel; Giannakis, Mihalis; Al-Debei, Mutaz M.; Dennehy, Denis; Metri, Bhimaraya; Buhalis, Dimitrios; Cheung, Christy M.K.; Conboy, Kieran; Doyle, Ronan; Dubey, Rameshwar; Dutot, Vincent; Felix, Reto; Goyal, D.P.; Gustafsson, Anders; Hinsch, Chris; Jebabli, Ikram; Janssen, Marijn; Kim, Young-Gab; Kim, Jooyoung; Koos, Stefan; Kreps, David; Kshetri, Nir; Kumar, Vikram; Ooi, Keng-Boon; Papagiannidis, Savvas; Pappas, Ilias; Polyviou, Ariana; Park, Sang-Min; Pandey, Neeraj; Queiroz, Maciel M.; Raman, Ramakrishnan; Rauschnabel, Philipp A.; Shirish, Anuragini; Sigala, Marianna; Spanaki, Konstantina; Wei-Han Tan, Garry; Tiwari, Manoj Kumar; Viglia, Giampaolo; Wamba, Samuel Fosso (Peer reviewed; Journal article, 2022) -
Metaverses and Business Transformation
Polyviou, Ariana; Pappas, Ilias (Peer reviewed; Journal article, 2022)Metaverses refer to virtual worlds which enable the interaction between users and simulate people, places and things of the physical world. The wider use of metaverses can disrupt how we interact and bring a plethora of ... -
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
Dennehy, Denis; Griva, Anastasia; Pouloudi, Nancy; Dwivedi, Yogesh K.; Pappas, Ilias; Mäntymäki, Matti (Lecture Notes in Computer Science (LNCS);, Book, 2021) -
Rethinking Learning Design in IT Education During a Pandemic
Pappas, Ilias; Giannakos, Michail (Peer reviewed; Journal article, 2021)Maintaining high-quality teaching and learning in the times of a pandemic poses a huge challenge to education systems. To scaffold adequate practices in our courses during the pandemic, more advanced, and fine-grained ... -
Seeking Information on Social Commerce: An Examination of the Impact of User- and Marketer-generated Content Through an Eye-tracking Study
Mikalef, Patrick; Sharma, Kshitij; Pappas, Ilias; Giannakos, Michail (Peer reviewed; Journal article, 2020) -
Systematic literature review of E-learning capabilities to enhance organizational learning
Giannakos, Michail; Mikalef, Patrick; Pappas, Ilias (Peer reviewed; Journal article, 2021)E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning ... -
Tension in the data environment: How organisations can meet the challenge
Meadows, Maureen; Merendino, Alessandro; Dibb, Sally; Garcia-Perez, Alexeis; Hinton, Matthew; Papagiannidis, Savvas; Pappas, Ilias; Wang, Huamao (Peer reviewed; Journal article, 2021)Big Data is becoming ubiquitous - widely applied across organisations, industry sectors and society. However, the opportunities and risks it presents are not yet fully understood. In this paper we identify and explore the ...