Hannes Datta, MSc

dr.

Tilburg School of Economics and Management, Research Group: Marketing
Associate Professor, Tilburg School of Economics and Management, Department of Marketing

Phone+31134663022, +31134668938
EmailH.Datta@tilburguniversity.edu

Warandelaan 2, Tias Building, room T 606
5037 AB Tilburg
Netherlands

Accepting PhD Students

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Personal profile

Research interests

In my work, I develop advanced econometric models that guide managerial decision-making. I am an expert in the area of digital media consumption (e.g., on streaming services, on digital TV), and have gained substantial experience working with large data sets and cloud computing. Apart from my interest in new media, I work on projects in the area of retailing, e.g., one on generalizing marketing response elasticities in emerging markets.

Curious to learn more about my research? What this 2-minute YouTube video (in English, in Dutch).

Career

05/2018 - today

Associate Professor
Department of Marketing, Tilburg University, The Netherlands

09/2013 - 4/2018

Assistant Professor
Department of Marketing, Tilburg University, The Netherlands

Please download my most recent CV.

Teaching

(1) Research in Social Media (Data science skills for digital and social media research) [2014-...]

database management using SQL and MongoDB
web scraping and APIs
obtaining causality from observational data
entertainment industry data sets

(2) Digital and Social Media Strategies [2016-2017]

Bachelor course, introduction to digital marketing

(3) Others

Faculty-wide recognition for Teaching Excellence 2017, 2018, Tilburg School of Economics and Management (TiSEM); Winner of TiSEM's Best Teacher Award for Master course)
Winner of the Teacher of the Year Award of Tilburg University (2016)
University Teacher Qualification (since 2015)

Current courses

Click here for my courses.

External positions

Member of the Advisory Board (Gradient Metrics)

28 Jan 2019 → …

Keywords

Econometrics
Digital media
Marketing
Data science
Marketing Models
Companies And Internet
Big Data Analytics
Statistical Methods
Social media

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

marketing Earth & Environmental Sciences

Brand equity Business & Economics

Marketing mix Business & Economics

Music Business & Economics

Connectivity Business & Economics

science Earth & Environmental Sciences

Internet of things Business & Economics

Consumer behaviour Business & Economics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2015 2019

4 Article
1 Data set/Database
1 Other contribution

Teaching material for: How well does consumer-based brand equity align with sales-based brand equity and marketing mix response?

Datta, H., Ailawadi, K. L. & van Heerde, H. J., 5 Feb 2019

Research output: Other contribution › Other research output

Category characteristics for IRI Marketing Science Dataset

Datta, H., Ailawadi, K. L. & van Heerde, H. J., 1 May 2018

Research output: Non-textual form › Data set/Database › Other research output

Open Access

marketing

science

Changing their tune: How consumers' adoption of online streaming affects music consumption and discovery

Datta, H., Knox, G. & Bronnenberg, B., Jan 2018, In : Marketing Science. 37, 1, p. 5-21

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

Music

Experimentation

Ownership

Digital music

Purchasing

Consumer connectivity in a complex, technology-enabled, and mobile-oriented world with smart products

Verhoef, P. C., Stephen, A. T., Kannan, P. K., Luo, X., Abishek, V., Andrews, M., Bart, Y., Datta, H., Fong, N. M., Hoffman, D. L., Hu, M., Novak, T. P., Rand, W. & Zhang, Y., Nov 2017, In : Journal of Interactive Marketing. 40, p. 1-8

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

Connectivity

Internet of things

Information sharing

Firm strategy

Interconnection

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