Projects per year
I am an Associate Professor in Business Analytics at Norwich Business School (NBS) and member of the Innovation Technology and Operations Management (ITOM) group. I am also an associated faculty at the Centre of Competition Policy (CCP). Before joining NBS, I worked as Senior Researcher at the Chair for Databases and Information Systems at the Department of Informatics of the Goethe University Frankfurt, Germany. I co-founded together with Professor Roberto Zicari the Big Data Laboratory of the Goethe University (www.bigdata.uni-frankfurt.de) and I acted as a Director for Analytics and Data Science. Before joining Goethe University I worked as an Assistant Research Professor (Post.doc) at the Department of Economics of the University of Copenhagen doing research in Experimental Economics and IT. I completed my PhD in 2009 at Copenhagen Business School (CBS), Denmark under the supervision of Prof. Volker Mahnke and I hold an MSc in Engineering from the Royal Institute of Technology (KTH), Stockholm with specialization in Information Retrieval (2006). I completed my undergraduate studies at the Athens University of Economics and Business (2004) and I have so far lived and worked in 5 different countries (Greece, Sweden, Denmark, Germany and UK).
I have also acted professionally as a data scientist in various roles in the industry working for one of the world’s largest car manufacturers and Germany’s biggest lenders in use cases for big data and analytics. My main specialization is in predictive analytics and in particular the transformation of Business Intelligence and Data Warehousing to support competitive gain through analytics with a particular emphasis on unstructured data.
I am an active practitioner of analytical methods and tools aiming to increase the impact of my research and some of my work has also been featured in the German media (ARD, HR). I have worked closely with Adastra Germany a subsidiary of Adastra Group (Canada) on developing practical use cases for analytics and big data and have acted as a consultant senior data scientist in providing training to an aspiring team of young data scientists engaged in various projects.
You can read more about me on my personal Github profile: http://nkorf.github.io
Key Research Interests and Expertise
My research combines interdisciplinary methods in data analytics with the aim to solve problems in Marketing and Finance. My primary area of research is online consumer reviews and in particular the way reviews influence consumers in their choice. The main questions that I am targeting is how reviews impact product choice in various scenarios and how review fraud can be detected. A parallel stream of my research is to investigate how information impacts workplace behavior and how big data is going to affect decision making in organizations.
In addition I am also working on analytics of risk reporting and operations and in particular the implications of the BCBS 239 reporting regulation and data governance for financial institutions and other stakeholders. For bibliometrics of my work see my Google Scholar profile and Scopus. You can also access some of my papers from my SSRN account as well as my DBLP profile page.
I am very open in working with research students and I welcome applications for a PhD under my supervision in the area of Analytics (esp. Marketing and Finance) and data science. In addition, I am also interested on interdisciplinary topics that deal with the impact of Big Data in institutions and society. If you are interested to do a PhD with me please check the Social Science Faculty requirements for the PhD program (here) and send me an application pack consisting of a rough research idea, a CV and a list of your grades and transcripts.
I have taught in a variety of modules related with Analytics at BSc, MSc and PhD level. I am a fellow of the Higher Education Academy and I have acted as external examiner for a variety of institutions in the UK and Europe.
I am also open to MSc dissertation supervision. If you are interested to work with me, please have a look on my research interests and write me an email.
I have acted professionally as a data scientist in various roles in the industry working for one of the world’s largest car manufacturers and Germany’s biggest lenders in use cases for big data and analytics.
My main specialization is in predictive analytics and in particular the transformation of Business Intelligence and Data Warehousing to support competitive gain through analytical maturity. I am an active practitioner of analytical methods and tools aiming to increase the impact of my research and some of my work has also been featured in the German media (ARD, HR).
I have worked closely with Adastra Germany a subsidiary of Adastra Group (Canada) on developing practical use cases for analytics and big data and have acted as a consultant senior data scientist in providing training to an aspiring team of young data scientists engaged in various projects.
Doctor of Philosophy, Copenhagen Business School
1 Jan 2006 → 14 Jul 2009
Award Date: 8 Jul 2009
Master of Engineering, KTH Royal Institute of Technology Stockholm
1 Aug 2004 → 18 Jan 2006
Award Date: 18 Jan 2006
Bachelor of Science, Athens University of Economics and Business
1 Sep 2000 → 31 Jul 2004
Award Date: 30 Jul 2004
Dive into details
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Korfiatis, N., 16 Jan 2021, In : European Journal of Operational Research. 288, 2, p. 605-619 15 p.
Research output: Contribution to journal › Article4 Citations (Scopus)
Towards AI driven environmental sustainability: an application of automated logistics in container port terminalsTsolakis, N., Zissis, D., Papaefthimiou, S. & Korfiatis, N., 25 Apr 2021, In : International Journal of Production Research. p. 1-21 21 p.
Research output: Contribution to journal › Article
Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: concepts and applications in the National Health ServiceKouroupis, M., Korfiatis, N. & Cornford, J., 2020, Innovation in Health Informatics: A Smart Healthcare Primer. Elsevier, p. 261-278 18 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Korfiatis, N. & Papavlassopoulos, S., Jun 2020, In : Expert Systems. 37, 3, e12502.
Research output: Contribution to journal › ArticleOpen AccessFile6 Downloads (Pure)
Evaluating domestic bias on airline passengers’ ratings: The moderating effect of cultural value orientationStamolampros, P., Dousios, D. & Korfiatis, N., May 2020, In : International Journal of Hospitality Management. 87, 102466.
Research output: Contribution to journal › ArticleOpen AccessFile2 Downloads (Pure)