List of Master theses topics at the Strategy Subject Area

Master theses are supervised by Professor Reitzig, Professor Koschat or Asst.Prof. Keck, depending on the topic.

However, most Master thesis candidates closely co-ordinate with other members of the subject area as well.

Find the updated list of topics (per 1 November 2017) here:

Potential Topics

Topic Track Contact partners at Dept. Brief Description Supplementary Information &
Pre-requisites
1. Skill-Based sorting in GitHub – a complementary survey study Science Prof. Markus Reitzig/Inna Smirnova, MSc GitHub constitutes the world’s largest platform hosting open source software (OSS) repositories (projects). The goal of this thesis is to collect primary information on a selected sample of contributors (programmers) and relate these motivations to the contributors’ skill profiles as measurable from secondary data (notably Stack Overflow), to shed light on the question as to which motivations lead to what type of contributor self-selection onto projects. The work complements ongoing research at the Strategy Subject Area. *Successful completion of at least one class on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Skills in setting up online questionnaires.
*Skills in analyzing large-scale secondary data.
*Excellency in all required prerequisites.
Interest in high technology.

*Other: Supervision can only be guaranteed until October 2018. Candidates should plan on handing in their thesis until October 2018.
2. Multiplex network formation in peer production communities – an empirical study within GitHub and StackOverflow Science Prof. Markus Reitzig/Inna Smirnova, MSc Peer production communities rely less on the nature of formal (authoritative) structures to pass on information than they do on informal, networked structures. The goal of this thesis is to collect primary information on a selected sample of GitHub contributors (programmers) and StackOverflow contributors on their perceptions of what constitutes tie formation at various levels, and how these are potentially interlinked. The work complements ongoing research at the Strategy Subject Area. *Successful completion of at least one class on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Skills in setting up online questionnaires.
*Skills in analyzing large-scale secondary data.
*Excellency in all required prerequisites.
*Interest in high technology.

*Other: Supervision can only be guaranteed until October 2018. Candidates should plan on handing in their thesis until October 2018.
3. Big data, AI, and observable changes in the organizational design of (service) firms - sketching feasible approaches for empirical identification Science Prof. Markus Reitzig/Tim Lechner, MSc Big data analytics – the collection and interpretation of petabytes of data, using, amongst others, artificial intelligence is gaining increasing momentum across industries. Undoubtedly, it will change the way in which organizations divide labor and integrate effort. To this day, however, empirical evidence is scarce. This dearth of insight may be attributable to both the novelty of the phenomenon and the type of information needed to meaningfully shed light on the question. The goal of this thesis is to address this gap both (1) by demonstrating various ways in which researchers may feasibly (conditional on data access) examine the relationship empirically, and (2) pursuing one of the suggested analyses at pilot study level. The work complements ongoing research at the Strategy Subject Area. *Successful completion of both classes on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Creativity in thinking through empirical designs
*Optimally: specific skills in gathering and analyzing large-scale secondary data.
*Excellency in all required prerequisites.
*Interest in novel technologies
4. Distributed 3D manufacturing and (expected) changes to the organizational design of (producing) entities – sketching feasible approaches for empirical identification Science Prof. Markus Reitzig/Tim Lechner, MSc Distributed 3D manufacturing is a critical source of product innovation and will shape the industry landscape in the nearby future. It is expected to change the way in which organizations divide labor and integrate effort. To this day, however, empirical evidence is scarce. This dearth of insight may be attributable to both the novelty of the phenomenon and the type of information needed to meaningfully shed light on the question. The goal of this thesis is to address this gap both (1) by demonstrating various ways in which researchers may feasibly (conditional on data access) examine the relationship empirically, and (2) pursuing one of the suggested analyses at pilot study level. The work complements ongoing research at the Strategy Subject Area. *Successful completion of both classes on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Creativity in thinking through empirical designs
*Optimally: specific skills in gathering and analyzing large-scale secondary data.
*Excellency in all required prerequisites.
*Interest in novel technologies
5. Robotics, AI and and (expected) changes to the organizational design of firms across sectors – sketching feasible approaches for empirical identification Science Prof. Markus Reitzig/Tim Lechner, MSc In an increasing number of companies across industries, robots take over tasks in different segments of the value chain, sometimes replacing and sometimes enhancing human work. This tendency is expected to change the way in which organizations divide labor and integrate effort. To this day, however, empirical evidence is scarce. This dearth of insight may be attributable to both the novelty of the phenomenon and the type of information needed to meaningfully shed light on the question. The goal of this thesis is to address this gap both (1) by demonstrating various ways in which researchers may feasibly (conditional on data access) examine the relationship empirically, and (2) pursuing one of the suggested analyses at pilot study level. The work complements ongoing research at the Strategy Subject Area. *Successful completion of both classes on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Creativity in thinking through empirical designs
*Optimally: specific skills in gathering and analyzing large-scale secondary data.
*Excellency in all required prerequisites.
*Interest in novel technologies
6. Human-robot interaction and expected changes to the organizational design of firms across sectors – sketching feasible approaches for empirical identification Science Prof. Markus Reitzig/Tim Lechner, MSc In light of the increasing reliance on data ans robotics in social contexts, research on human-robot interaction design is gaining momentum, too. It will likely most fundamentally reshape the way humans learn, and should have major repercussions for how organizations divide labor and integrate effort. To this day, however, empirical evidence is scarce. This dearth of insight may be attributable to both the novelty of the phenomenon and the type of information needed to meaningfully shed light on the question. The goal of this thesis is to address this gap both (1) by demonstrating various ways in which researchers may feasibly (conditional on data access) examine the relationship empirically, and (2) pursuing one of the suggested analyses at pilot study level. The work complements ongoing research at the Strategy Subject Area. *Successful completion of both classes on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Creativity in thinking through empirical designs
*Optimally: specific skills in gathering and analyzing large-scale secondary data.
*Excellency in all required prerequisites.
7. Big data, AI, 3D manufacturing, robotics, and human-robotic interaction – sketching feasible approaches for empirical identification of job creation and replacement Science Prof. Markus Reitzig/Tim Lechner, MSc Industry 4.0 - Big data, AI, 3D manufacturing, robotics and human-robot interaction – is expected to influence the world of organizations fundamentally. There are arguments that – different from to the Internet area of Industry 3.0 – job creation and replacement might evolve in asynchronous ways, resulting in structural higher unemployment rates in the long term. To this day, however, empirical evidence is scarce. This dearth of insight may be attributable to both the novelty of the phenomenon and the type of information needed to meaningfully shed light on the question. The goal of this thesis is to address this gap both (1) by demonstrating various ways in which researchers may feasibly (conditional on data access) examine the relationship empirically, and (2) pursuing one of the suggested analyses at pilot study level. The work complements ongoing research at the Strategy Subject Area. *Successful completion of both classes on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Creativity in thinking through empirical designs
*Optimally: specific skills in gathering and analyzing large-scale secondary data.
*Excellency in all required prerequisites.
*Interest in novel technologies
9. and 10. Current supplies, demands, and ongoing developments in the Strategy Consulting Sector in Austria and the CEE .(THIS THESIS IS SUPPOSED TO BE JOINTLY ADDRESSED BY TWO STUDENTS) Practice Prof. Markus Reitzig Strategy Consulting – the external advisory on devising novel and improving existing businesses – has undergone significant change over the past years in lead markets such as the United States and Germany. The goal of this thesis is to provide an in-depth empirical overview of the current supplies and demands for strategy consulting services/products in (a) Austria and (b) the CEE against the particular backdrop of recent developments in the sector (digital transformation, big data driven business models, etc.). *Successful completion of at least one class on data collection/analysis at Master's level within the KFK Strategy (or passing of an equivalent class elsewhere leading to familiarity with the design of empirical studies, handling of statistical analysis software - e.g., Stata, SPSS, R etc.).
*Skills in setting up online questionnaires.
*Excellency in all required prerequisites.
*Interest (and optimally experience) in management consulting.
*Interest in novel technologies relevant to business (big data, internet of things, etc.).
*Optimally (but not compulsory) native language skills relevant to the CEE region
11. Planning fallacy in project teams Asst. Prof. Science Asst. Prof. Steffen Keck The planning fallacy refers to the tendency to hold a confident belief that one's own project will proceed as planned, even while knowing that the vast majority of similar projects have run late (Kahneman & Tversky, 1979). The goal of the theses is to explore how individual skills and confidence of team members affect how susceptible project teams are to this problem. The thesis will include planning, conducting and analyzing a controlled experiment with a sample of student participants. *Familiarity with the design and analysis of behavioural experiments (e.g., from classes in the Strategic Management major).

*Ability to conduct a statistical analysis of quantitative data (e.g., with SPSS or STATA).

*Willingness and ability to independently recruit participants and conduct a behavioural experiment.
12. Individual skills in group-based innovation Science Asst. Prof. Steffen Keck The ability to create innovative and creative solutions to problems is a key success factor for organizations. Most activities related to innovation are carried out by groups rather than single individuals posing the question to what extent groups are able to take optimal advantage of the skills that their individual group members possess. The goal of this theses is to explore this question and identify factors that facilitate or hinder groups to do so. The thesis will include planning, conducting and analyzing a controlled experiment with a sample of student participants. *Familiarity with the design and analysis of behavioural experiments (e.g., from classes in the Strategic Management major).

*Ability to conduct a statistical analysis of quantitative data (e.g., with SPSS or STATA).

*Willingness and ability to independently recruit participants and conduct a behavioural experiment.
13. Knowledge transfers in groups Science Asst. Prof. Steffen Keck Individuals in organizations are often members of several work groups at the same time and might also perform a number of tasks individually. As a consequence it is of fundamental importance that groups not only collectively develop the necessary skills and knowledge to successfully solve a particular problem, but also transfer that knowledge to individual group members who can then apply it when working on their own, or pass on that knowledge to members of other groups. The goal of this thesis is to explore the conditions under which such group-to-individual knowledge transfers are effective. To explore this question this thesis will include planning, conducting and analyzing a controlled experiment with a sample of student participants. *Familiarity with the design and analysis of behavioural experiments (e.g., from classes in the Strategic Management major).

*Ability to conduct a statistical analysis of quantitative data (e.g., with SPSS or STATA).

*Willingness and ability to independently recruit participants and conduct a behavioural experiment.
14. The Impact of E-Platforms on International Trade Practice Prof. Martin Koschat *You need to have completed at least one course with Prof. Koschat
15. The Importance of E-Platforms in Austrian B2B Firms' Business Relations Practice Prof. Martin Koschat *You need to have completed at least one course with Prof. Koschat
16. The Impact of European Union Rules on European Businesses Practice Prof. Martin Koschat *You need to have completed at least one course with Prof. Koschat