Abschlussarbeitsthemen

Vielen Dank für Ihr Interesse, eine Bachelor- oder Masterarbeit am Lehrstuhl für Wirtschafts- informatik insb. Informationssystemmanagement zu schreiben. Nachfolgend finden Sie die aktuelle Liste unserer Forschungsthemen. Sofern nicht anders angegeben, sind die Themen sowohl für Bachelor- als auch Masterstudierende und die Bearbeitung kann sofort begonnen werden. Die bevorzugte Sprache ist Englisch.

Wenn Sie sich für eines der Themen interessieren, nutzen Sie bitte das Anmeldeformular am Ende der Website. Bewerben Sie sich idealerweise 8 Wochen vor Ihrem geplanten Start.

Wichtig für Bachelor-Studierende: Erfahrung im wissenschaftlichen Arbeiten im Bereich IS/MIS wird vorausgesetzt, d.h. erfolgreicher Abschluss des Moduls WAWI und/oder erfolgreiche Teilnahme an einem ISM-Seminar.

Bedingungen für eine Abschlussarbeit am ISM-Lehrstuhl: Bei einer Anfertigung einer Abschlussarbeit am Lehrstuhl für Wirtschaftsinformatik insb. Informationssystemmanagement verpflichten sich die Studierenden zu einer regelmäßigen Teilnahme am Kolloquium für Abschlussarbeiten. Während dieses Kolloquiums sind zwei Vorträge (Zwischenvortrag + Abschlussvortrag/Verteidigung) zu halten.

 

Themen

Performance Measurement of Digital Innovation Labs – A Qualitative Comparative Analysis

Performance Measurement of Digital Innovation Labs – A Qualitative Comparative Analysis

 

Digital Innovation Labs (DILs) stellen eine wichtige organisatorische Form dar, um organisationale Ambidextrie zu erreichen. Die verschiedenen Designs und Charakteristiken der DILs sind dabei bereits in Teilen erforscht. Welchen Einfluss diese Unterschiede auf den Erfolg von DILs haben, ist bisher noch nicht erforscht. Dies soll im Zuge dieser Arbeit mittels einer Qualitative Comparative Analysis (QCA) erfolgen. Diese Arbeit findet im Zuge eines größeren Forschungsprojekts des Lehrstuhls statt, die Datenerhebung hat bereits stattgefunden. Studierende, die Interesse an diesem Thema haben, sollten idealerweise Erfahrung mit quantitativen Forschungsansätzen oder zumindest eine ausgeprägte Affinität für diese haben.

Einstiegsliteratur:

Holotiuk, F., Beimborn, D. (2019): Temporal Ambidexterity: How Digital Innovation Labs Connect Exploration and Exploitation for Digital Innovation. Proceedings of the 40th International Conference on Information Systems (ICIS), München.

Nishant, R., & Ravishankar, M. N. (2020). QCA and the harnessing of unstructured qualitative data. Information Systems Journal, 30(5), 845-865. https://doi.org/10.1111/isj.12281

Soto Setzke, D., Kavılı, M. C., & Böhm, M. (2020). On the use of qualitative comparative analysis in information systems research-a critical review. In 28th European Conference on Information Systems, Marrakesh, Morocco.

Thomann, E., & Maggetti, M. (2020). Designing Research With Qualitative Comparative Analysis (QCA): Approaches, Challenges, and Tools. Sociological Methods & Research, 49(2), 356–386. https://doi.org/10.1177/0049124117729700

Start: ab September

Betreuer: Julian Frey

The Development of New Venture Ideas in the Digital Age

 

“Digital ventures are formed around ideas that have digital artifacts at their core” (von Briel et al 2018, p.1). The entrepreneurs within these digital ventures engage in digital ecosystems (e.g. crowdsourcing platforms) to create such new digital venture ideas. In this sense, they use digital technologies for collaboration, collective intelligence and consequently for the creation of new ventures. Although this has the potential to accelerate the venture creation process, previous research has shown that such endeavors are challenging for several reasons. First, von Briel et. al (2018) found that the characteristics and nature of digital artifacts can influence the speed and design of the venture creation process. Second, Nambisan (2017) questions the familiarity with collaborators in online settings, which is highly relevant for co-creation of ideas. This is reflected in the work of Majchrzak and Malhotra (2013), who found that crowdsourcing can lead to various tensions between different actors. Finally, Harryson (2008) argues that digital technologies increase the heterogeneity of teams, which in turn has a positive impact on venture creation success. In line with this, Browder et al. (2019) emphasize the shift in focus from homophily (tendency of individuals to interact with other people if they are similar to them) towards competence, relevant skills, and cognitive abilities when looking for co-founders. However, heterogeneous groups are also characterized by different interpretations and perceptions of the same digital venture idea (Nambisan 2017) and differ in perceptions of authority and individual responsibility (Ingram Bogusz and Morisse 2018). This raises questions regarding venture team constellations in digital settings when creating new venture ideas. The aim of this study is therefore to explore which factors influence the emergence and development of digital venture ideas and how the nature of these ideas in turn influences the overall venture creation process.

Method: Various as it depends on the research question (Lit. Review, Case Study, Interviews, Survey)

 

Language: preferably english

 

Literature for getting started:

 

  • Chalmers, D., Matthews, R., and Hyslop, A. 2021. “Blockchain as an External Enabler of new Venture Ideas: Digital Entrepreneurs and the Disintermediation of the Global Music Industry,” J. Bus. Res. (125), pp. 577-591.
  • Majchrzak, A., and Malhotra, A. 2013. “Towards an Information Systems Perspective and Research Agenda on Crowdsourcing for Innovation,” J. Strateg. Inf. Syst. (22:4), pp. 257-268.
  • von Briel, F. von, Recker, J., and Davidsson, P. 2018. “Not all Digital Venture Ideas are Created equal: Implications for Venture Creation Processes,” J. Strateg. Inf. Syst. (27:4), pp. 278-295.

 

Supervisor: Ferdinand Mittermeier

Exaptations in digital innovation: Can we measure misuse of digital components?

 

Recombination is the heart of innovation. Due to digital technologies and their recombinatorial characteristics and new paradigms like the modular layered architecture of digital innovations the recombinatorial space is exploding. Research in related fields already suggests a specific type of recombination: Exaptation. While there are approaches to measure exaptation in innovation reasearch, there is no similar research regarding digital innovations. The goal is to synthesize different approaches of measuring exaptations and compare the applicability to the new developed digital innovations.

Method: literature review and design science

Language: Preferably english, German possible

Literature to start:

  • Andriani, P., Ali, A., & Mastrogiorgio, M. (2017). Measuring exaptation and its impact on innovation, search, and problem solving. Organization Science, 28(2), 320-338.
  • Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). Research commentary—the new organizing logic of digital innovation: an agenda for information systems research. Information systems research, 21(4), 724-735.
  • Holmström, J. (2018). Recombination in digital innovation: Challenges, opportunities, and the importance of a theoretical framework. Information and organization, 28(2), 107-110.

Supervisor: Yannick Hildebrandt

Scaled agile organizations - a happy place for employees?

 

In the wake of digital transformation, organizations adopt so called scaled agile forms of organizational design to achive higher strategic agility. For individual employees this means higher independence and satisfaction but could also put on a strain on physical and mental health - a phenomenom we call agile stress. In this research topic, students will receive already collected data to analyze these potential downsides of agile organizations for individuals. 

Method: Qualitative case study analysis, based on already collected research data 

Language: preferably English, German possible

Literature for getting started:

Gerster, D., Dremel, C., Brenner, W., & Kelker, P. (2020). How enterprises adopt agile forms of organizational design: a multiple-case study. ACM SIGMIS Database: the DATABASE for Advances in Information Systems51(1), 84-103.

Ha, K. M. (2020). Digital Business Leadership: Digital Transformation, Business Model Innovation, Agile Organization, Change Management. By Ralf T. Kreutzer, Tim Neugebauer and Annette Pattloch. Springer, Berlin, 2018, ISBN 978‐3662565476, pp. 263.

Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007). The impact of technostress on role stress and productivity. Journal of management information systems24(1), 301-328.

Supervisor: Julian Frey

Digital Innovation Actions - How Organizations Innovate in the Digital Era

 

Since Schumpeter, continuous innovation has been regarded as the decisive economic driving force for the creation, maintenance, and expansion of organizational competitiveness. However, the ubiquity of digital technologies and their impact on the innovation process is changing the way companies operate in their competitive environment (Kohli & Melville 2018). While extant research elegantly highlights the various challenges that arise during the creation of digital innovation (Henfridsson et al. 2018, Nambisan et al. 2017, Svahn et al. 2017), little is known about the capabilities organizations need or which specific actions they can take in order to succeed in a digital world. Thus, Kohli and Melville (2018) call for new theories on corresponding organizational capabilities. In their recent literature review, the authors conclude that there is inconsistent knowledge within the individual phases and design fields of the innovation process. Nylén and Holmström (2015, p. 59) directly ask “Can digital innovation be managed?” Porter and Heppelmann (2015), on the other hand, believe that, while digitization reveals new technological opportunities, the rules of competence and competitive advantage remain unchanged. “Hence, there appears to be a misalignment between demands in the marketplace and organizational capabilities to respond” (Kohli and Melville, 2018, p. 1). The aim of this thesis is to validate previously collected digital innovation actions through an online-survey.

Method: Online-Survey

Language: preferably english

Literature for getting started:

Ciriello, R. F., Richter, A., & Schwabe, G. (2018). Digital innovation. Business & Information Systems Engineering, 60(6), 563-569.

Hellwig, L., Pawlowski, J., & Schäfer, M. (2020). An Innovation Activity Framework for Digital Innovation. In Proceedings of the 2020 on Computers and People Research Conference (pp. 10-19).

Mittermeier, F., Hund, A., Beimborn, D., Wagner, H. (2021). Towards a Conceptual Model Model of Digital Innovation Success. Forthcoming in: Proceedings of the 21st ACM SIGMIS Conference on Computer and People Research, Nuremberg (will beprovided upon request)

 

Supervisor: Ferdinand Mittermeier

Creating an objective way of evaluating peoples level of digitality - developing a digital mindset test

 

Humans, their behavior and thinking, are named as one of the essential drivers to successfully realize and implement digital transformation (Shneiderman 2007). Mindsets constitute a part of this humanistic be-havior and thinking, enabling and supporting humans at solving tasks in a specific context through cogni-tive processes, filters or beliefs (Dweck 2006; Gollwitzer 1990; Gupta and Govindarajan 2002).

The IS literature frequently mentions the “digital mindset” as a crucial factor of digitalization (Nambisan et al. 2017; Warner and Wäger 2019). Researchers call it a significant influence factor on the role of CDOs promoting digital transformation (Singh and Hess 2017), a required lens to view on business strategies to improve digital customer experience and effectiveness (Lucas and Goh 2009), or as generally required to “[…] leverage digital technologies effectively” (Kane et al. 2017, p. 40). There are several first conceptualizations and self-evaluating measurement models for the digital mindset. To contribute to the theory and enable an objective way to measure the construct, a sufficient test should be developed based on former research.

Method: Design Science

Language: Preferably english, German possible

Literature to start: Upon request as papers are currently under review.

Supervisor: Yannick Hildebrandt

Organizational culture and scaled agile organizations - a chicken or egg problem?

 

In the wake of digital transformation, organizations adopt so called scaled agile forms of organizational design to achive higher strategic agility. Organizational culture is deemed to be a key contributor for a successful scaled agile organizations. In this research topic, students will receive already collected data to analyze this potentially fruitful interdependency of organizational culture and organizational design. 

Method: Qualitative case study analysis, based on already collected research data 

Language: preferably English, German possible

Literature for getting started:

Gerster, D., Dremel, C., Brenner, W., & Kelker, P. (2020). How enterprises adopt agile forms of organizational design: a multiple-case study. ACM SIGMIS Database: the DATABASE for Advances in Information Systems51(1), 84-103.

Hartl, E., & Hess, T. (2017). The role of cultural values for digital transformation: Insights from a Delphi study. Twenty-third Americas Conference on Information Systems, Boston. 

Trushkina, N., Abazov, R., Rynkevych, N., & Bakhautdinova, G. (2020). Digital transformation of organizational culture under conditions of the information economy. Virtual Economics3(1), 7-38.

Supervisor: Julian Frey

Technology Forecasting - How reliable is the Gartner Hype Cycle?

 

Gartner’s Hype Cycle is one of the most frequently published and cited technology forecasts. But, how reliable, consistent, and accurate is it? Objective of this thesis is to set up a data base of historical Gartner hype cycle reports and compare both their consistency over time and their accuracy mapping it with other data sources.

Method: Secondary data analysis, potential for use of AI-based pattern recognition techniques

Language: preferably English

Literature for getting started:

Supervisor: Prof. Dr. Daniel Beimborn

Measuring Social Networks – A Comparison of Information Systems Research and Organization Sciences

 

Social networks have been an exciting object of research for many decades and the methodology of Social Network Analysis (SNA) is very popular. However, it is not easy to collect data showing who knows whom or who communicates with whom and how often. From direct surveys to the evaluation of e-mail log files and the use of social badges worn by company employees, there are many different methods.

The goal of this thesis is to analyze the two literature fields of Business Informatics and Organization Science with regard to which survey methods of the SNA social networks have been empirically measured so far and which empirical findings have been obtained on the basis of the measurements in each case. In a meta-analytical comparative approach, statements on the influence of SNA survey methods and key figures on empirical findings will then be inductively derived.

Method: Literature Review, Meta Analysis

Language of Thesis: Preferably English, German possible

Literature for getting started:

  • Methodical foundations: http://www.socialcapitalgateway.org/NV-eng-measurement.htm (Wasserman and Faust, 1994; Scott, 2000; Van der Gaag, Snijders and Flap, 2004)
  • SNA in Information Systems: (Espinosa, Cummings, Wilson and Pearce, 2003; Klein, Lim, Saltz and Mayer, 2004; McLure Wasko and Faraj, 2005; Vidgen, Henneberg and Naudé, 2007; Kane and Alavi, 2008; Trier, 2008; Fischbach, Schoder and Gloor, 2009; Lee, Heng and Lee, 2009; Lim, Saldanha, Malladi and Melville, 2009; Sykes, Venkatesh and Gosain, 2009; Oinas-Kukkonen, Lyytinen and Yoo, 2010; Yu, Hao, Dong and Khalifa, 2010) (Chellappa and Saraf, 2010) and others in JAIS 2/2010 Special Issue,(Wijngaert, Vermaas and Bouwman, 2008) (Ho and Chang, 2009)
  • Organization Science: (Umphress, Labianca, Brass, Kass and Scholten, 2003)
  • Other Sources:
    • In (Yang, Lee and Kurnia, 2009): Hampton 2003, Hampton/Wellman 2003, Kavanaugh et al. 2005, Haythornthwaite 2001, 2002, Matzat 2004)
    • In  (Kane and Alavi, 2008): Ahuja/Galletta, Ahuja et al., Borgatti/Cross, Sparrowe et al.

Supervisor: Prof. Dr. Daniel Beimborn

For master students only

It's the being, not the acting – Aspects of the digital mindset in digital transformation

 

Humans, their behavior and thinking, are named as one of the essential drivers to successfully realize and implement digital transformation (Shneiderman 2007). Mindsets constitute a part of this humanistic be-havior and thinking, enabling and supporting humans at solving tasks in a specific context through cognitive processes, filters or beliefs (Dweck 2006; Gollwitzer 1990; Gupta and Govindarajan 2002).

The IS literature frequently mentions the “digital mindset” as a crucial factor of digitalization (Nambisan et al. 2017; Warner and Wäger 2019). Researchers call it a significant influence factor on the role of CDOs promoting digital transformation (Singh and Hess 2017), a required lens to view on business strategies to improve digital customer experience and effectiveness (Lucas and Goh 2009), or as generally required to “[…] leverage digital technologies effectively” (Kane et al. 2017, p. 40). In previous research of the chair we could identify various different aspects of the digital mindset. For further refinement of the concept and insights regarding the theory of the digital mindset, the question arise which of these aspects are pronounced in different industry sections or hierarchy levels in a company. Therefore, a qualitative inter- or intraorganizational approach could shed light on the concrete existence of the phenomenon.

Method: Qualitative (interviews, single case study, multi-case study)

Language: Preferably English, German possible

Literature to start:

  • von Preußen, P. W., & Beimborn, D. (2019). Turning Mentoring Around–A Case-based Analysis of the Outcomes of Digital Reverse Mentoring.
  • Further digital mindset literature upon request

Supervisor: Yannick Hildebrandt

Success Factors of IT Nearshore Outsourcing Relationships

 

Aim of this master thesis is to analyze a rich set of qualitative data (about 120 recorded interviews from about 20 case studies) on the management of outsourcing relationships between German/Swiss client firms and Eastern/Central European IT service providers in various countries. Aim is to identify different strategies for managing vendor personnel and activities and evaluating their effectiveness. This study can be extended by collecting new cases, in particular, on failed nearshore outsourcing relationships.

Method: qualitative analysis

Language of Thesis: English

Literature for getting started:

  • Carmel/Abbott: Why ‘nearshore’ means that distance matters. Communications of the ACM, Oct 2007.
  • von Stetten: Control Modes in IT Outsourcing. Zeitschrift für erfolgsorientierte Unternehmenssteuerung (27:12), 2015, pp. 703ff
  • von Stetten/Beimborn/Weitzel: Analyzing and Managing the Impact of Cultural Behavior Patterns in Social Capital in Multinational IT Project Teams. Business & Information Systems Engineering (BISE), 2012, pp. 137ff.

Supervisor: Prof. Dr. Daniel Beimborn

Quantifying the digital divide - How big is the gap between digital natives and digital immigrants?

 

Digital natives and their ubiquitous exposition to digital technologies are attributed different digital skills or ways of thinking. This discrepancy between digital natives and the generation of digital immigrants is called the digital divide. Actions for digital qualification or mentoring programs (Von Preußen & Beimborn, 2019) try to address and reduce this digital divide. Currently, the extent and concrete characteristics of this digital divide are unknown. In former chair research, we could conceptualize and operationalize the digital mindset, which is one aspect of the digital divide. Therefore by empirical investigations and applications of the measurement model, important insights about the extent and characteristics of the digital divide can be generated.

 

Method: Empirical work

Language: Preferably English, German possible

Literature to start:

  • Koutropoulos, A. (2011). Digital natives: Ten years after. MERLOT Journal of Online Learning and Teaching, 7(4), 525-538.
  • von Preußen, P. W., & Beimborn, D. (2019). Turning Mentoring Around–A Case-based Analysis of the Outcomes of Digital Reverse Mentoring.
  • Further digital mindset literature upon request

Supervisor: Yannick Hildebrandt

Response Rates in Empirical Organizational IS Research – Conducting a Meta-Analysis of Success Factors of Survey Design

 

Achieving high response rates in survey-based empirical studies is a challenging endeavor. Managers have little time and receive more questionnaires, which reduces their willingness to participate in surveys. In turn, for researchers, it is mission-critical to design survey processes in a way that the study attracts participation of as many managers as possible.

Aim of this master’s thesis is to review existing empirical studies in the Information Systems discipline which did survey-based studies at the organizational level (e.g., outsourcing management, IT business value, IT change & transformation, organizational adoption of IT/IS). A meta-analysis shall compare the studies with regard to their design (which companies, which manager roles, which “incentives”, which countries etc.) and try to identify factors that lead to higher vs. lower response rates.

An example for a comparable study of another research discipline can be found in (Hiebl/Richter 2018).

Method: literature review, meta-analysis

Language of master’s thesis: English

Literature for getting started:

  • Hiebl, M.R., Richter, J.F. (2018): Response Rates in Management Accounting Survey Research. Journal of Management Accounting Research (30:2), pp. 59-79.

Supervisor: Prof. Dr. Daniel Beimborn   

Entwicklung eines Dashboards zur Steuerung von DeepTech-Startups

 

DeepTech-Startups entwickeln neuartige technologische Lösungen, die meist mit umfassenderen wissenschaftlichen und ingenieursorientierten Herausforderungen einhergehen. Entsprechend liegt der Unterschied zu vielen anderen Startups in einer besonders langwierigen „closed“ R&D-Phase, entsprechend höheren Kapitalanforderungen und vergleichsweise spezifischen Markteintritten (selten MVPs, meist B2B-Kontext etc.). Umgekehrt sind DeepTech-Startups schon in ihrer frühen Entwicklungsphase nicht nur für Venture-Capital-Geber sondern auch für spätere Abnehmer der entwickelten Lösungen sehr spannend, da die im Forschungsprozess erarbeiteten Erkenntnisse häufig auf vielfältige Weise nutzbar gemacht werden können. Aufgabe der Masterarbeit ist es, die aus Sicht eines solchen Unternehmens spannenden KPIs zu identifizieren/entwickeln und in ein Dashboard zu überführen, welches ein kontinuierliches Monitoring von DeepTech-Startups, die in einer Entwicklungspartnerschaft mit dem konkreten Unternehmen stehen, ermöglicht.

 

Die Arbeit wird in Kooperation mit der Lutz GmbH, einem hochgradig innovativen Unternehmen der Textil- und Materialwirtschaft, in der Region Bamberg geschrieben.

Methodik: Design Science, Action Design Research

Betreuer: Prof. Dr. Daniel Beimborn

 

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