Skip to Content

CCP Faculty

Dr Nikolaos Korfiatis

Senior Lecturer in Business Analytics,Associate Tutor, Norwich Business School

Email: n.korfiatis@uea.ac.uk
Phone: +44 (0)1603 59 1041 Location:

Biography

I am a Senior Lecturer in Business Analytics at Norwich Business School (NBS) and 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 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.

I maintain a blog and a more detailed perspectives on Big Data on my personal website: www.korfiatis.info. I also contribute on the Operational Data Management Systems Portal (www.odbms.org) which is an industry leading news hub for all things in Big Data, No-SQL and In-Memory data management technologies.

 

News 

20.02.2015 - CCP Seminar Talk: "Online Review Manipulation: What is it, should we care and how can the regulators address it?"

19.12.2014 - I was featured in a program of the German National Broadcaster (ARD) discussing Data Analytics and Big Data. You can watch a short version here

All Publications

<- Page 1 of 2 ->

Lavranos, C., Kostagiolas, P., Korfiatis, N., Papadatos, J.

(2016)

Information seeking for musical creativity: A systematic literature review,

in Journal of the American Society for Information Science and Technology

67

(9)

article no. 2105–2117

Full Text UEA Repository

(Article)

(Published)


Ivanov, T., Izberovic, S., Korfiatis, N.

(2016)

The Heterogeneity Paradigm in Big Data Architectures,

in Managing and Processing Big Data in Cloud Computing.

Idea Group Publishing

pp. 218-245

ISBN 9781466697676

Full Text

(Chapter (peer-reviewed))

(Published)


Zicari, R. V., Rosselli, M., Ivanov, T., Korfiatis, N., Tolle, K., Niemann, R., Reichenbach, C.

(2016)

Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization,

in Big Data Optimization: Recent Developments and Challenges.

Springer

pp. 17-47

ISBN 978-3-319-30263-8

Full Text

(Chapter (peer-reviewed))

(Published)


Kostagiolas, P., Lavranos, C., Korfiatis, N., Papadatos, J., Papavlassopoulos, S.

(2015)

Music, Musicians, and Information Seeking Behaviour: A Case Study on a Community Concert Band,

in Journal of Documentation

71

(1)

pp. 3-24

Full Text UEA Repository

(Article)

(Published)


Huang, G., Korfiatis, N.

(2015)

Trying before buying: The moderating role of online reviews in trial attitude formation towards mobile apps,

in International Journal of Electronic Commerce

19

(4)

pp. 77-111

Full Text UEA Repository

(Article)

(Published)


Korfiatis, N., Zicari, R., Lytras, M.

(2015)

Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment,

in Computers in Human Behavior

48

pp. 44-50

Full Text UEA Repository

(Article)

(Published)


Kostagiolas, P., Korfiatis, N., Kourouthanasis, P., Alexias, G.

(2014)

Work-related factors influencing doctors search behaviors and trust toward medical information resources,

in International Journal of Information Management

34

(2)

pp. 80-88

Full Text UEA Repository

(Article)

(Published)


Mertz, M., Korfiatis, N., Zicari, R. V.

(2014)

Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviews,

in E-Commerce and Web Technologies : 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings.

Springer Verlag

pp. 146-152

ISBN 978-3-319-10490-4

Full Text

(Conference contribution)

(Published)


Korfiatis, N., Poulos, M.

(2013)

Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews,

in Expert Systems with Applications

40

(14)

pp. 5507-5515

Full Text UEA Repository

(Article)

(Published)


Ivanov, T., Korfiatis, N., Zicari, R. V.

(2013)

On the inequality of the 3V’s of Big Data Architectural Paradigms: A case for heterogeneity,

UEA Repository

(Working paper)

(Published)


Wu, P., Korfiatis, N.

(2013)

You Scratch Someone's Back and We'll Scratch Yours: Collective Reciprocity in Social QA Communities,

in Journal of the American Society for Information Science and Technology

64

(10)

pp. 2069–2077

Full Text UEA Repository

(Article)

(Published)


Korfiatis, N.

(2013)

Big Data for Enhancing Learning Analytics: A Case for Large-Scale Comparative Assessments,

in Metadata and Semantics Research : 7th Research Conference, MTSR 2013, Thessaloniki, Greece, November 19-22, 2013. Proceedings.

Springer-Verlag Berlin Heidelberg

pp. 225-233

ISBN 978-3-319-03436-2

Full Text

(Conference contribution)

(Published)


Niemann, R., Korfiatis, N., Zicari, R., Göbel, R.

(2013)

Evaluating the energy efficiency of OLTP operations: A case study on PostgreSQL,

in Availability, Reliability, and Security in Information Systems and HCI.

Springer

pp. 28-43

ISBN 978-3-642-40510-5

Full Text UEA Repository

(Chapter)

(Published)


Kostagiolas, P., Korfiatis, N., Poulos, M.

(2012)

A long-tail inspired measure to assess resource use in information services,

in Library and Information Science Research

34

(4)

pp. 317-323

Full Text UEA Repository

(Article)

(Published)


Poulos, M., Korfiatis, N., Bokos, G.

(2012)

A methodology for binary encoding of citation metadata,

in International Journal of Metadata, Semantics and Ontologies

7

(4)

pp. 295-301

Full Text UEA Repository

(Article)

(Published)


Rill, S., Adolph, S., Drescher, J., Reinel, D., Scheidt, J., Schütz, O., Wogenstein, F., Korfiatis, N., Zicari, R.

(2012)

A phrase-based opinion list for the German language,

UEA Repository

(Paper)

(Published)


Korfiatis, N., García-Barriocanal, E., Sánchez--Alonso, S.

(2012)

Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content,

in Electronic Commerce Research and Applications

11

(3)

pp. 205-217

Full Text UEA Repository

(Article)

(Published)


Korfiatis, N., Loebbecke, C., Cremer, S.

(2012)

Successfully Bidding for Online Projects: The Impact of Project-Focused Messages,

in Proceedings of the International Workshop on e-Business (WeB) 2012.

(Conference contribution)

(Published)


Wu, P., Van Der Heijden, H., Korfiatis, N.

(2011)

The influences of negativity and review quality on the helpfulness of online reviews,

UEA Repository

(Paper)

(Published)


Poulos, M., Korfiatis, N., Bokos, G.

(2011)

Towards text copyright detection using metadata in web applications,

in Program: Electronic Library and Information Systems

45

(4)

pp. 439-451

UEA Repository

(Article)

(Published)


<- Page 1 of 2 ->

Key Research Interests

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.

Professional Activities

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.

// ]]>