The creation and possession of vast amounts of data through e.g. social media and Industry 4.0 enables organizations to create value. Given the lack of skills and capacity to process this data, however, poses a major challenge to organizations to extract value from data. Hence, firms are looking for novel ways to extract value from their data assets. In recent years, for-profit organizations have started to share part of their data for free as so-called open data. Open Data enables the co-creation of value in digital ecosystems by leveraging the skills and capabilities of multiple actors. However, at this point, little is known about how to strategically position Open Data in order to create and capture value. This thesis will support research in getting a better understanding of Open Data initiatives.
The objective of the thesis is to develop a better understanding of the spread of open data in for-profit organizations. You will research a given set of companies and extract relevant meta information such as geography, industry, company size as well as Open Data specific information (e.g. type of data shared, licenses applied, mechanism of sharing). In a subsequent step, the student will analyze and cluster the data and derive insights on open data usage across geographies and industry clusters.
Extant literature on the topic along with methodological guidance will be provided.
If interested, please send an email to Tobias Enders.