Data-Driven ESG Strategy Implementation Through Business Intelligence
Language: English
Published by IGI Global, US, 2025
- Softcover
- New

Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
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- Title
- Data-Driven ESG Strategy Implementation Through Business Intelligence
- Author
- Komodromos- Markos
- Publisher
- IGI Global, US
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798337351438
"Synopsis" may belong to another edition of this title.
About the Author
Lamprini Seremeti is a an Assistant Professor in the Department of Agricultural Economics & Rural Development at the School of Applied Economics and Social Science of the Agricultural University of Athens. She holds a PhD in Computer Science with a focus on propagating knowledge in networks of aligned ontologies from Hellenic Open University; a Master in Special Education from University of Rome; a Master in Pure Mathematics from University of Patras; a Bachelor in Mathematics from University of Patras; a Bachelor in Informatics from University of Western Greece; and a Bachelor in Law from University of Nicosia. She has also participated as a researcher in EU-funded projects, in which, her tasks involved mathematical modeling, data processing, knowledge representation and management, and conceptualization of heterogeneous environments (socio-economic, educational, biomedical, ambient intelligent). Her research interests focus on theories applied in interpretation of Law in ambient intelligent environments, knowledge representation and management through ontologies, and mathematical modeling of co-evolving systems.
Lazaros Anastasiadis is a political scientist. His research intersests focues on Political Issues, Technologies of Interactive Systems, Architecture and applications of Outdoor Positioning Systems (e.g., GPS) and the integration of these systems with the Internet of Things (IoT),and the combined use of Artificial Intelligence (AI). He has published many articles in International and Greek Journals as well as in International and Greek Conferences.
Panagiotis Liargovas received his BA degree from the University of Athens and his MA and Ph.D degrees in Economics from Clark University, Worcester MA. He has been a Fulbright Scholar, a Bakalas Foundation Scholar, a Teaching Assistant Scholar (Clark University) and a European Commission trainee (Brussels). He has taught in many Universities including Clark University, Bologna University, and University of Strasbourg. He has served as economic advisor to the Greek Ministry of Finance, the Greek Ministry of Foreign Affairs and the Municipality of Athens in many occasions. For the period 2013-18 he was the Head of the Parliamentary Budget Office at the Hellenic Parliament. He is currently Chairman of the Board of the Centre of Planning and Economic Research (KEPE) and of the National Productivity Board. He is also Professor of Economics at the University of Peloponnese. He specializes on International and European Economics, Regional Economics and Economic Development and Policy. He has made more than 100 publications in academic journals and has published more than 20 books. His latest book (Pataki publishers, in Greek) was published in 2020 and was entitled “Ten years of crisis, three memoranda and a pandemic: Greece in search for a way out”.
Sofia Anastasiadou is a Professor of Statistics and Research Methodology, Biostatistics and Biomedical Research at the School of Health of the University of Western Macedonia (UOWM), Department of Midwifery. She is the Deam of School of Health of UOWM, and a Member of the Dean of the School of Economics of the University of Western Macedonia. She is also a Member of the Senate and a MODIP Member of the same University. Since 2020 she is the President of Greek Society of Data Analysis (GSDA). She has been a founding Member since 2001. She has been Secretary General since 2016. Sofia Anastasiadou makes a constant effort for the development and dissemination of Data Analysis and Multidimensional Statistical Analysis methods, such as Principal Component Analysis, Factor Analysis, Factor Analysis of Correspondences, Symbolic Analysis, Inductive Statistics, Discriminant Analysis, Cluster Analysis, Implicative Statistical Analysis and new fields that can be developed based on relevant international developments in statistical science.
"About the title" may belong to another edition of this title.
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