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.

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