|Lecturer||Prof. Dr. Armin Heinzl|
|Credit Points||12 ECTS|
|Information for Students||Information regarding theses of other degree courses can be found at our academic theses page.|
Individuals and organizations operate in a world that is increasingly permeated with digital technology. Every day we interact with Information Systems (IS) that make our phones smart, our cars safe, and our lives convenient. Likewise, Information Systems are embedded in the very core of the products, operations, and strategies of many organizations. Ever more, understanding and leveraging Information Systems is key to business success, not only for large and experienced players like SAP and Google, but also for small start-ups. The pervasive nature of digital technology is radically transforming our understanding of Information Systems, encompassing their development, coordination, use, and the way we interact with them. The primary objective of this seminar is to shed light on these issues and enrich our knowledge about how information systems impact organizations and individuals.
|Topic||Topic Description||Associated Advisor(s)|
|A: Development of an Online Communication and Market Entry Strategy for Germany’s Leading Handicraft Cloud||
Cloud Services are conquering the market for small and medium sized firms. In Germany, no mobile cloud solution in the handicraft and construction sector has been able to gain a significant market share so far. For this reason, the HANDWERKCLOUD has been developed by Struktur AG and Nextcloud. The platform is not yet launched. In this thesis, it is required to develop, test, and document an online communication and market entry strategy for this new business venture in cooperation with the two industry partners. The endeavour is part of the project Cloud Mall BW (info see below). It is assumed that all marketing and sales processes have to be conducted online. Thus, we are looking for a bachelor candidate at the intersection of Information Systems and Marketing who understands the processes of integrated information systems behind and who is eager to become a part of and contribute to this unique venture.
The project Cloud Mall BW (cloud-mall-bw.de) aims at fostering cooperation between small and medium-sized IT service providers to deliver integrated cloud solutions. Within industry pilots, we realize innovative and promising, collaborative ideas in cooperation with regional cloud service providers.
|Prof. Dr. Armin Heinzl|
|B: Introduction of New Technologies in the Health Care Domain||Information and communication technology (ICT) is one of the key technologies of the 21st century. ICTs used in hospitals have well-known advantages and they can promote patient-centered healthcare, improve quality of care, and educate health professionals and patients. However, implementing ICTs for the use in hospitals is challenging and requires extensive preparation. Some of the reasons for this are strict legal regulations, in particular with regard to data protection and hygiene. The aim of this bachelor thesis is to conduct a market analysis of patient-supporting ICTs in hospitals. The findings should then be used to derive both functional and non-functional requirements for an actual application that guides and supports patients in hospitals along their medical pathway.||Dr. Okan Aydingül|
|C: mHealth Use and Behavior Change||An increasing number of individuals use mobile health (mHealth), such as Apple Health, Google Fit and other mHealth applications to adopt healthy behaviors and improve health outcomes. However, mHealth use is often limited to few initial interactions and decreases over time. This thesis takes the viewpoint of behavior change theory to understand how to better design mHealth in order to impact both use and subsequent health behavior. In order to do this, this bachelor thesis draws on academic literature related to a specified behavior change theory. The thesis will summarize how the theory is applied in information systems research and will identify areas in mHealth research where the specified behavior change theory can be used to impact both mHealth use and subsequent health behavior.||Monica Fallon|
|D: Strategies for Platform Launch||Platforms business models are becoming increasingly relevant: Many of the world’s most valuable companies base their businesses on platform strategies. Platform strategies are prevalent especially in those markets in which information technology is a central part of the final product. Examples include Google, Apple, or Microsoft. These examples relate to established platform firms, that have successfully launched platforms and have gained significant market power. However, reaching such a privileged position is highly non-trivial for platform owners. In a bachelor thesis within this topic area, students are expected to review extant literature related to the launch of platforms, to analyze strategies to reach platform ignition and to provide practical examples of successful and failed platform launches.||André Halckenhäußer|
|E: Knowledge Transfer in Requirements Engineering||
Requirements engineering is still one of the crucial tasks for software development. Following Pohl (2010), it encompasses the elicitation, validation, and documentation of desired properties and necessary constraints of a software, as well as the frequent validation and continuous management of the same. Especially in enterprise software development, features of a new software under development must be derived from the software vendor with the help of experts and knowledge stakeholders from industry during the elicitation phase. In research this task is called knowledge transfer since the domain specific knowledge of stakeholders is transferred to the software vendor and then “translated” into software development data.
The aim of this Bachelor’s thesis should be to understand the research field of knowledge transfer in IS and conduct a structured literature review about the recent research in regards of knowledge transfer in requirements engineering.
|F: Impact of AI on Decision-Making||
With technological developments in artificial intelligence, algorithms are increasingly capable to perform tasks that were considered to be unique for humans. However, literature suggests that although algorithms are often superior in performance, users are reluctant to interact with algorithms instead of human agents – a phenomenon known as algorithm aversion. But, as algorithm aversion is attracting scientific attention, empirical findings are inconclusive and papers find the opposite effect of algorithm appreciation. The aim of the bachelor thesis is to review current research based on Dietvorst’s1 work on algorithm aversion and to classify which algorithm characteristics influence whether decision-makers develop aversion or preference towards algorithms.
1 Dietvorst, B., Simmons, J. P., & Massey, C. (2015). Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err. Journal of Experimental Psychology: General, 144 (1), 114-126. http://dx.doi.org/10.1037/xge0000033
|G: Business Value of Analytics and Machine Learning||Organizations invest into Business Analytics in a quest to boost performance, efficiency, and innovation. Such Business Analytics applications rely on the increasing volumes, variety, and velocity of available data and the rapidly increasing number of available methods and technologies (incl. Machine Learning) to describe and explain past events, predict future events, and prescribe fruitful paths of action. Over the last decades, researchers have developed substantial knowledge about how organizations can create value from their investment in Information Systems. It is not clear yet which of these explanations still apply to Advanced Analytics. The goal of this bachelor thesis is to investigate which types of Business Analytics applications are applied and how they create value in existing organizations.||Pascal Kunz|
|H: Superstar Entry in Platform Ecosystems||
In a platform business model, platform owners (e.g., Apple or Google) allow independent software developers, so-called complementors, to participate in the development and commercialization of their technology. Apple, for example, opened its iOS mobile operating system to independent “app” developers in 2008, which has since then grown to a platform that encompasses more than 2 million complementary apps. The platform owner takes the position of a market intermediary between consumers and complementors and faces a challenging coordination problem that consists of attracting both sides to the platform.
Recently, many platform owners decided to introduce exclusive content (superstar apps) on their mobile platform to make their platform more attractive to consumers. Yet, introducing exclusive content changes the competitive environment for competing complementors sustainably and could affect their incentives to produce innovative content for the platform in the future. In this bachelor thesis, students are expected to review academic literature related to innovation consequences of superstar entries.
|I: Computational Creativity||Creativity is one of the most essential organizational skills as it lies ground to product and content innovation. Increasingly, machines replace or supplement classical ‘offline’ approaches to the creative process. Creativity supported or conducted by machines is studied in the field of computational creativity (CC). One business function that is particularly creative is marketing, and herein, much attention is paid to the selection and generation of music: music is applied to influence consumer behavior by conveying and inducing emotion, by accompanying presented pictures, or to frame a spirit attributed to a certain product. This Bachelor thesis should focus on identifying design dimensions for musical content selection and generation in marketing and how CC, particularly Machine Learning approaches to CC, can be implemented to fulfill the identified requirements.||Deborah Mateja|
|J: Data Management in Healthcare||
The enhanced adoption of electronic health records and other digital health Information Systems make historical medical data and data of healthcare delivery systems available. However, the use of big data in healthcare exceeds the capabilities to store, manage, and analyze the data with traditional healthcare information systems, such as data warehouses. This led to the emergence of scalable, central data repositories, called ‘data lakes’, that are implemented to store unstructured and semi-structured data for later search, retrieval, and analysis. Although this approach allows connecting various analytics tools seamlessly, still, researchers face challenges in data quality, consistency and management when using this new architecture in practice.
This bachelor thesis will be based on a structured literature review and aims to explore (1) which challenges current data lake implementations face as well as (2) how research and practice proactively address these limitations.
|K: Anthropomorphic Design of Conversational Agents||
Conversational agents (CAs) communicate via a natural language interface. Researchers envision the ideal CA to be represented by a virtual human, and thus have been especially interested in anthropomorphic design. Overall, research on CAs assumes human likeness to be the ultimate design goal. Generally, it is hypothesized that anthropomorphism increases perceived trustworthiness of a CA. However, what are the underlying mechanisms of this positive effect on trust in a CA? The present thesis is expected to conduct a systematic literature review on the relationship between anthropomorphism and trust in CAs. More precisely, insights on the relationship of anthropomorphic design on the different dimensions of trust (competence, benevolence/
|L: Augmenting and Automating Software Development||Increasingly powerful technologies of artificial intelligence (AI) are changing how software is being developed today. Technologies based on AI are increasingly capable of completing development tasks that have formerly been reserved for developers as intelligent human beings. Managers envision a future where application software will refine and extend itself while developers primarily curate the inputs for this self-development (https://www.cio.com/article/3437436/rethinking-software-development-in-the-ai-era.html). This thesis assesses the current state of research on the automation of the distinct software development process steps. It outlines where we stand regarding the target vision of autonomously evolving application software and identifies the relevant academic research streams as well as the most promising areas for future research.||Dr. Kai Spohrer|