Welcome to my home page. I am an academic and a data scientist working on exciting areas such as data-driven marketing and Fintech. I am also one of the organizers of the Data Science Norfolk Meetup, a network of data scientists in the East of England. If you are interested for a PhD or a research work with me, please see the available research topics here or feel free to send me an e-mail or see my business engagement experience if you would like to explore possible collaboration.
PhD in Information Management, 2009
Copenhagen Business School (CBS), Denmark
MSc in Interactive Systems Engineering, 2006
Royal Institute of Technology (KTH), Sweden
BSc in Management Science and Technology, 2004
Athens University of Economics and Business, Greece
I am a Senior Lecturer (Associate Professor) in Business Analytics at Norwich Business School (NBS) of the University of East Anglia (UEA). I am also a member of the Innovation, Technology and Operations Management Group (ITOM). I am also affiliated faculty with the Centre of Competition Policy (CCP) and an associate faculty member of the Big Data Laboratory of Goethe University Frankfurt, Germany.
Before joining UEA, I worked as Senior Researcher at the Chair for Databases and Information Systems at the Faculty of Informatics and Mathematics of the Goethe University Frankfurt, Germany. I co-founded together with Professor Roberto Zicari the Frankfurt Big Data Lab and I acted as a Director for Analytics and Data Science. I also 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 as a core member of the iLEE project.
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 specialisation in HCI & 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 five 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 specialisation 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 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.
I also contribute on the Operational Data Management Systems Portal which is an industry leading news hub for all things in Big Data, No-SQL and In-Memory data management technologies.
BSc in Information Systems (2004), Athens University of Economics and Business, 2004
MEng in Interactive Systems Engineering (2006), Department of Computers and Systems Sciences, Royal Institute of Technology (KTH), Stockholm, Sweden. Thesis work in collaboration with the Knowledge Management Research Group – Uppsala University).
PhD in Informatics (2009), Department of Informatics (now Department of Digitalization). Copenhagen Business School. Worked under the supervision of Prof. Volker Mahnke(†).
26.03.2019 New paper with Panagiotis Stamolampros on the operational performance of US Airline sector published at Journal of Air Transport Management.
06.03.2019 Our paper with Panagiotis Stamolampros, Konstantinos Chalvatzis and Dimitrios Buhalis is forthcoming at Annals of Tourism Research (CABS 4*).
17.09.2018 Our paper with Panagiotis Stamolampros, Panos Kourouthanassis and Vassileios Sagiadinos is accepted at Expert Systems with Applications (CABS 3*).
12.09.2018 I provided some opinion and quoted the research magazine of the Swiss National Foundation on the topic of online reviews. See here.
28.06.2018 New working paper: Stamolampros, P., Korfiatis, N., Chalvatzis, K., Buhalis, D. (2018), Job Satisfaction and Employee Turnover Determinants in
High Contact Services: Mining the Wisdom of Employees.
25.04.2018 New report from European Commission, DG - JUST (Consumers, Health, Agriculture and Food Executive Agency - CHAFEA) on the transparency of online platforms, cites the Korfiatis et al. (2012) paper on Online Review Helpfulness.
08.04.2018 Our paper with Prasanta Kr. Chopdar, V.J. Sivakumar and Miltiades Lytras is accepted in Computers in Human Behavior (CABS 3*)
29.03.2018 The Independent as well as Moody’s Analytics (Beaureau van Dijk) features our study with Efthymia Symitsi, Panagiotis Stamolampros and George Daskalakis.
29.03.2018 Our commissioned study for Glassdoor Inc. was presented at Glassdoor’s Best Places to work in London. See the joint Glassdoor & UEA/NBS press release here as well as report from Glassdoor’s Chief Economist - Dr Andrew Chamberlain here.
26.01.2018 My televised interview (in Spanish) with NTN24 on mobile shopping cart abandonment is now online here.
07.01.2018 The Telegraph science column features
our article at Journal of Business Research
03.12.2017 Our paper with Flora Huang and Chun-Tuang Chang is accepted at the Journal of Business Research. You can view the author accepted version here.
23.11.2017 Our paper with Panagiotis Stamolampros is accepted at the International Journal of Contemporary Hospitality Management. You can view the author accepted version here.
I organise together with my colleague James Conford the Data Science Norfolk Meetup which is sponsored by AVIVA’s data science unit.
I have also worked as a consultant and senior data scientist for
various companies in the automotive, banking and pharmaceutical industry.
If you are working for an organisation who is interested to work together on
driving insights from your data.
I regularly conduct training clinics on data analytics with R and Python for a
variety of research and corporate clients. If you need my help with advisory
services or training do not hesitate to contact UEA Consulting LTD.
You are also welcome to attend one of our Data Science Norfolk Meetups.
For links/access to pdf files check my Google Scholar Profile or send me an email. Also if you would like to have access to the datasets used in most of my papers, I would be more than happy to talk to you.
My research work has also attracted considerable attention from the press. See here for a selected list of press clippings.
See also selected publications eligible for the upcoming UK Research Excellence Framework (REF 2020) here.