Business Administration Seminar: Ksenia Podoynitsyna

19-09-2019 van 12:00 tot 13:30
Campus Tweekerken, Hoveniersberg, second floor, classroom 2.2
Door wie
Prof. dr. Petra Andries
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Dear colleagues,
It is my pleasure to invite you to the Business Administration Seminar by prof. dr. Ksenia Podoynitsyna.
When: Thursday , 19th September 2019 between 12h00 and 13h30
Where:  Campus Tweekerken, Hoveniersberg, second floor, classroom 2.2

Ksenia Podoynitsyna (1980) is an Associate Professor of Data-Driven Entrepreneurship at JADS, the Joint Graduate School of Tilburg University and Eindhoven University of Technology. Her dissertation (2008) was nominated for the prestigious Heizer dissertation award of the Entrepreneurship division of the Academy of Management.

Ksenia’s current research focus is on business models and ecosystems for data-driven and sustainable businesses. Projects include implications of revenue model and feature innovations in the Apple app store, analogical reasoning in business model innovation, and patterns in innovative sustainable business models. The latter project resulted in a tool for mapping the business model of a focal company together with its immediate ecosystem. This tool is distinctive for its focus on the boundary-spanning value exchanges between the focal firm and the external actors, and the options for structuring both value creating and value capturing value exchanges.

Ksenia has published in such journals as Journal of Business Venturing, Entrepreneurship Theory and Practice, California Management Review, Journal of Product Innovation Management, Renewable & Sustainable Energy Reviews, Strategic Organization, and Journal of Cleaner Production. On top of this, she serves on the Research Committee of the Entrepreneurship Division of the Academy of Management.

Title: Personal data collection for value creation vs. value capture in the Google Play app store

Apps can collect data even if it is not needed for the functioning of the app. Privacy-related controversies around apps such as Brightest Flashlight Free and Pokemon Go are alarming, yet not much is known about the scale of this phenomenon. This study sets out to explore the pervasiveness and implications of such sensitive personal data collection in a context that has spawned a lot of the privacy-related scandals, namely the Google Play app store. We use advanced topic modeling techniques to identify value creating and value capturing data collection permissions in a dataset of 817,731 apps and explore the extent to which users respond to both of these types of data collection by analyzing their effects on app downloads.

Thank you for confirming your attendance no later than Wednesday, 18th , 12:00 here .

Best regards,
Prof. dr. Petra Andries