|Verantwortlicher Dozent||Prof. Dr. Armin Heinzl|
|Infos für Studierende||Infos zu Bachelorarbeiten anderer Studiengänge finden Sie bei den Abschlussarbeiten|
Deadline Event tba Registration in Portal2; priorities after official enrollment via CV Portal tba Topics will be published on this website tba Kick-off meeting tba Announcement of topic assignment tba Deadline for submission of thesis tba Results will be announced
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 Area Topic Description Associated Advisors A) IT in Healthcare Environments There are numerous applications that improve the daily routine in hospitals by optimizing processes. Often the smaller, very specific applications can have a great impact. Patients, physicians and other hospital staff can benefit equally. In a seminar paper on this topic, the task will be to analyze the potential of such applications. Students receive an example application and work out their advantages and disadvantages. However, the main focus is on the economic analysis of the application. A detailed analysis and description of the market potential is crucial for the successful completion of the seminar work. This should be achieved by providing an overview of academic literature from the respective fields of research and by searching and embedding relevant market data from potential contributors. Okan Aydingül B) Use of Wearable Devices Wearable devices, such as Fitbit and Apple Watch, are designed to collect and display information about health behaviors and may provide promise for engaging less motivated individuals to change health behaviors. However, simply providing a wearable device for self-monitoring is insufficient in achieving health behavior change and continued use is low. A first step to designing wearable devices to enable behavioral change involves determining what challenges users experience and what enables them to continue to use it. This thesis will focus on conceptualizing challenges and enablers of continued use in the context of wearable devices based on academic literature and empirical evidence. Monica Fallon C) Strategies for Digital Transformation The digitalization is rapidly transforming industries and markets, requiring firms to develop new strategies for leveraging information and communication technology as part of their business models. The student is expected to conduct a literature review of recent studies on digital transformation in a pre-defined set of scientific and practitioner journals. Dr. Jens Förderer D) Adoption of Cloud Computing Cloud Computing drives the digital transformation in companies of all sizes. Since its recent emergence, more and more companies have decided to use this computing paradigm and leverage its benefits. While both larger and smaller enterprises are increasingly implementing cloud services, some companies still remain reluctant. Nevertheless, especially smaller companies can highly profit from the benefits of using cloud services and in this way sustain competitive advantage. In this thesis, students are expected to conduct a literature review on adoption issues of cloud computing and elaborate on strategies to overcome the remaining reluctance and further encourage the adoption of cloud computing. André Halckenhäußer E) Data Analytics in Software Development During the development of software more and more data is produced e.g. by the interaction of the developers through collaboration software or by the source code of the project itself. Software analytics as part of prescriptive analytics in the Gartner maturity model tries to predict the changes software development teams and management should make in a software project today to avoid future problems. Even though the topic has been addressed by research during the last decade, in practice, software development companies are still struggling with its complexity. In the Bachelor’s thesis, a literature review should be conducted to provide an overview of today’s current level of implementation from an industry perspective. The focus should lay more on an organizational, strategic level and not necessarily on a high degree of technical aspects. Philipp Hoffmann F) Governance of Platform Ecosystems The success of platform ecosystems is highly dependent on innovative and high-quality complements of third-party developers (complementors). Hence, platform owners like Apple or Google seek for governance mechanisms to incentivize complementors to continuously differentiate and identify new ideas. One approach that platform owners are commonly applying is to actively foster superstar systems. A superstar system is a market that concentrates demand on a small group of best sellers, although there exists a large number of very good and highly substitutive alternatives. By fostering superstar systems, complementors are forced to compete for few superstar positions which encourages them to differentiate from their competitors and to develop novel ideas. In this thesis project, students are expected to review governance literature on superstar systems. For more information about platforms, start reading here: hbr.org/2016/04/ pipelines-platforms-and-the-new-rules-of-strategy Nele Lüker G) Human-Computer Interaction Over the last few years, conversational agents – also named conversational interfaces or chatbots – have become a topic dominating the pursuit of innovative and ground-breaking human-computer interaction by digital giants such as Facebook, Google or Amazon. While the first conversational agent has been developed in the 1960s (Weizenbaum, 1966), the recent technological advances in the domains of artificial intelligence, machine learning and natural language processing (NLP) have renewed the attention to and implementation of conversational interfaces in research and practice. Conversational agents (CAs) are “user interfaces that emulate human-to-human communication using natural language processing, machine learning, and artificial intelligence” (Schuetzler, 2018). In essence, CAs enable users to interact with information systems (IS) in the same way they would interact with a human interaction partner via text- or voice-based information communication technology (ICT). The current IS knowledge base on CAs is still limited, thus there is high need for more structured knowledge on CAs. In this thesis the student is expected to develop a taxonomy of CAs in today’s digital ecosystem based on theoretical and empirical data. Anna-Maria Seeger H) Hard Forks in Blockchains Blockchain technology has the potential to disrupt many industries. Public blockchains, such as Ethereum or Bitcoin, constitute open, distributed platforms with various actors. These actors develop and run distributed applications, provide services, exchange value tokens such as cryptocurrencies, and engage in many forms of transactions - all based on the blockchain as a shared but distributed database of historical transactions. Changes to this distributed system (e.g., protocol updates or changes to the transaction history) require a general consensus among all actors. Otherwise, actors who oppose to a particular change may simply not change their nodes in the distributed system, which results in a “hard fork” of the blockchain: one part of the blockchain splits off. The two resulting chains have a common history of transactions but divide at a specific point in time from where they progress independently. Historically present assets on the old blockchain (e.g., cryptocurrency) can therefore double and exist on both new blockchains. This thesis investigates a) which consequences a hard fork has for blockchain platforms and their ecosystem and b) how actors on a blockchain safeguard against hard forks. To do so, the thesis draws on academic literature and compares publicly accessible data on prior hard forks of blockchains. Dr. Kai Spohrer I) AI and Medical Decision Making Artificial Intelligences such as IBM Watson or projects by Google are already moving into the field of medical diagnosis with the potential to be more accurate than their human counterparts - the doctors. The latter take several decision relevant factors into account, such as medical data from the patients past but also subjective factors such as the impression of the patient’s current health state. However, AIs development into medical diagnostics creates tension between more precise diagnosis and physician’s fears to loose autonomy. A thesis in this topic area will provide a literature review in topics related to decision making, identity threat, technology acceptance of predictive analytics/ AI or relevant developments from industry perspective. Ekaterina Jussopow
- The literature review should be done by students independently
- The review should include electronic literature sources offered by the University of Mannheim (Rechercheportal) as well as sources available on the internet
- Overviews of literature sources are available at the Mannheim University Library