M
Michail N. Giannakos
Researcher at Norwegian University of Science and Technology
Publications - 269
Citations - 7583
Michail N. Giannakos is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Learning analytics & Analytics. The author has an hindex of 35, co-authored 246 publications receiving 5196 citations. Previous affiliations of Michail N. Giannakos include Old Dominion University & Ionian University.
Papers
More filters
Journal ArticleDOI
Big data analytics capabilities: a systematic literature review and research agenda
TL;DR: The present paper aims to provide a systematic literature review that can help to explain the mechanisms through which big data analytics (BDA) lead to competitive performance gains and identifies gaps in the extant literature and proposes six future research themes.
Proceedings ArticleDOI
Introductory programming: a systematic literature review
Andrew Luxton-Reilly,Simon,Ibrahim Al-Bluwi,Brett A. Becker,Michail N. Giannakos,Amruth N. Kumar,Linda Ott,James H. Paterson,Michael James Scott,Judy Sheard,Claudia Szabo +10 more
TL;DR: An ITiCSE working group conducted a systematic review of the introductory programming literature to explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research.
Journal ArticleDOI
Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions
Ilias O. Pappas,Ilias O. Pappas,Panos E. Kourouthanassis,Michail N. Giannakos,Vassilios Chrissikopoulos +4 more
TL;DR: In this article, the authors used complexity theory to explain and better understand the causal patterns of factors stimulating online shopping behavior in personalized e-commerce environments and proposed a conceptual model along with research propositions.
Journal ArticleDOI
Using social media for work: Losing your time or improving your work?
TL;DR: It is confirmed that there is an important relation between the use of social media and the work performance and both utilitarian and hedonic values influence employees to use more social media for their work, at least in the insurance sector.
Journal ArticleDOI
Moderating effects of online shopping experience on customer satisfaction and repurchase intentions
TL;DR: In this article, a structural equation modeling (SEM) and multi-group analysis was applied to examine the moderating role of experience in a conceptual model estimating the intention to repurchase.