Dr. Gregoris Mentzas
National Technical University of Athens and Institute for Communication and
Computers Systems, Iroon Polytechniou 9, 15780 Zografou, Greece
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Academic Career Length
26Years (2001-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 February 2020 in International Journal of Information Management
Journal Article
KLKaterina Lepenioti
Katerina Lepenioti
ABAlexandros Bousdekis
Alexandros Bousdekis
DADimitris Apostolou
Dimitris Apostolou
Gregoris Mentzas1 January 2006 in Information Management & Computer Security
Journal Article
FDFotis Draganidis
Fotis Draganidis
Gregoris MentzasPurpose: Aims to review the key concepts of competency management (CM) and to propose method for developing competency method.Design/methodology/approach: Examines the CM features of 22 CM systems and 18 learning management systems.Findings: Finds that the areas of open standard (XML, web services, RDF), semantic technologies (ontologies and the semantic web) and portals with self‐service technologies are going to play a significant part in the evolution of CM systems.Originality/value: Emphasizes the beneficial attributes of CM for private and public organizations.
Journal Article
Alexandros BousdekisKLKaterina Lepenioti
Katerina Lepenioti
Dimitris ApostolouGregoris MentzasDecision-making for manufacturing and maintenance operations is benefiting from the advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze data, predict emerging situations, and recommend mitigating actions. The current paper reviews the literature on data-driven decision-making in maintenance and outlines directions for future research towards data-driven decision-making for Industry 4.0 maintenance applications. The main research directions include the coupling of decision-making with augmented reality for seamless interfacing that combines the real and virtual worlds of manufacturing operators; methods and techniques for addressing uncertainty of data, in lieu of emerging Internet of Things (IoT) devices; integration of maintenance decision-making with other operations such as scheduling and planning; utilization of the cloud continuum for optimal deployment of decision-making services; capability of decision-making methods to cope with big data; incorporation of advanced security mechanisms; and coupling decision-making with simulation software, autonomous robots, and other additive manufacturing initiatives.
1 December 2021 in Computers in Industry
Journal Article
KHKarl Hribernik
Karl Hribernik
Giacomo CabriFMFederica Mandreoli
Federica MandreoliGregoris Mentzas1 August 2002 in International Journal of Information Management
Journal Article
GBGeorgia Bafoutsou
Georgia Bafoutsou
Gregoris Mentzas2 October 2018 in Journal of Intelligent Information Systems
Journal Article
EAEvangelia Anagnostopoulou
Evangelia Anagnostopoulou
JUJasna Urbančič
Jasna Urbančič
EBEfthimios Bothos
Efthimios Bothos
Babis MagoutasLBLuka Bradesko
Luka Bradesko
Gregoris Mentzas +1
Rendering transport behaviours more sustainable is a pressing issue of our times. In this paper, we rely on the deep penetration of mobile phones in order to influence citizens’ behavior through data-driven mobility and persuasive profiles. Our proposed approach aims to nudge users on a personalized level in order to change their mobility behavior and make more sustainable choices. To achieve our goal, first we leverage pervasive mobile sensing to uncover users’ mobility patterns and use of transportation modes. Second, we construct users’ persuadability profiles by considering their personality and mobility behavior. With the use of the aforementioned information we generate personalized interventions that nudge users to adopt sustainable transportation habits. These interventions rely on persuasive technologies and are embedded in a route planning application for smartphones. A pilot study with 30 participants using the system for 6 weeks provided fairly positive evaluation results in terms of the acceptance of our approach and revealed instances of behavioural change.
About Me
Gregoris Mentzas is a full professor of Management Information Systems at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), and a director of the Information Management Unit (IMU). His research concerns big data management in multi-cloud environments and prescriptive analytics in Industry 4.0. He has published 4 books and more than 200 papers in international peer-reviewed journals and conferences. He has five best papers awards; sits on the editorial board of five international journals; and has served as chair, co-chair, or program committee member in more than 55 international conferences. He has led or contributed to more than 50 European research and development projects conducted in collaboration with SAP, IBM, HP, Siemens, Software AG, ATOS, and other leading technology firms. Research carried out by his group has led to the establishment of three internet technology companies. His experience includes 12 years of management consulting in corporate strategy and information systems strategy. He holds a Diploma Degree in Engineering (1984) and a PhD in Operations Research and Information Systems (1988), both from the NTUA. During 2006-2009, he served as member of the Board of Directors of the Institute of Communication and Computer Systems.