Theses Writing

Thank you for your interest in writing a Bachelor's or Master's thesis at the Chair of Information Systems Management. Below you find the current list of interesting research topics.

Topics

The Influence of Artificial Intelligence on the Meaningfulness of Work

Since the 1970s, motivation factors for employees have been researched and summarized under the concept "Meaningfulness of Work". The aim of this thesis is to develop literature-based theory on the extent to which the increase in approaches to artificial intelligence in employees' everyday work has an influence (positive vs. negative) on these motivational factors and their effect. It can be based on the Job Characteristics Theory of (Hackman/Oldham 1975), which can then be extended to include the influence of AI. It may also be possible to design or even conduct an empirical study - but this is not a mandatory part of the work.

Recommended Literature to get started:

Hackman, J. R., & Oldham, G. R. (1975). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60(2), 159-170. http://dx.doi.org/10.1037/h0076546

Strategic Value of IT – Financial and Markt Performance from IT Investments?

In 2008, McAfee and Brynjolfsson published a high-profile article on the relationship between IT investments and business success in the Harvard Business Review. The purpose of this thesis is to replicate this study with current market data and update it over the past 10 years. In this way it is to be proven whether IT donations are a strategic differentiator or only a "must have". In addition to this study, the thesis can try to shed light on more concrete IT spending pots (e.g. expenses in cloud services) and identify more concrete correlations.

Method: (Secondary statistical) quantitative empiricism

Recommended Literature to get started:

McAfee, A., and Brynjolfsson, E. (2008): “Investing in the IT That Makes a Competitive Difference”, in: Harvard Business Review, Juli-August 2008, pp. 98-107.

Tweets, News and Annual Reports: Retrieving Statements about Digital Innovation in Publicly Available Information

Within the framework of this work, publicly available information (e.g. from tweets, news and final reports) is evaluated and compared to statements on digital innovations.
The aim is to identify and interpret possible patterns in the various data sets in order to make statements about the (digital) innovative strength of companies and to evaluate the suitability of public data sources for empirical studies.

Start time: Immediately

Recommended Literature to get started:

Nambisan, S., et al. 2017. “Digital Innovation Management. Reinventing Innovation Management Research in a Digital World,” MIS Quarterly (41:1), pp. 223–238.

Yoo, Y., et al. 2012. “Organizing for Innovation in the Digitized World,” Organization Science (23:5), pp. 1398–1408.
Superviser: Hr. Axel Hund (axel.hund(at)uni-bamberg.de)

Innovating in the Digital Era: How Digital Innovation Labs Enable The Creation of Innovation

Many companies are faced with the challenge of realigning existing processes and structures as a result of digital transformation. Innovation processes are no exception.
Within the scope of this work, we investigate how specially created digital innovation units can help to meet the challenges of digitalization. The aim is to identify various mechanisms that enable successful innovation in the digital age.
To this end, interviews will be conducted with corresponding innovation units and subsequently evaluated.
Ideally, the Master's thesis should be written in English.
Type of thesis: Qualitative; Case Study Research (focus on evaluation of existing data)

Start time: Immediately

Recommended Literature to get started:

Nambisan, S., et al. 2017. “Digital Innovation Management. Reinventing Innovation Management Research in a Digital World,” MIS Quarterly (41:1), pp. 223–238.

Velten, C., Michel, J., and Özdem, A. 2016. “Digital Labs – How to build, how to run,” Crisp Research, Crisp Research AG (ed.).
Yin, R. K. 2018. Case Study Research and Applications. Design and Methods, Los Angeles, London, New Dehli, Singapore, Washington DC, Melbourne: SAGE.
Yoo, Y., et al. 2012. “Organizing for Innovation in the Digitized World,” Organization Science (23:5), pp. 1398–1408.
Superviser: Hr. Axel Hund (axel.hund(at)uni-bamberg.de

Data Science: Analyzing AppStore Data

In the context of this master thesis, update data are downloaded from the Appstore with the help of an already developed program and categorized with the help of text mining approaches. The aim is to develop and test an analysis tool that allows conclusions to be drawn about the innovative strength of the various app developers.

Level: Master

Start: From now on