Bachelor's Seminar

SM 452 for Bachelor's program (Business Informatics)

General Information

Fall/Winter 2019/2020
Lecturer Prof. Dr. Armin Heinzl
Course Format Seminar
Credit Points 5 ECTS (WI after Fall 2013), 4 ECTS (WI before Fall 2013)
Language English
Grading Seminar paper (70%), presentation (20%), discussion (10%)
Exam Date See course information below
Information for Students Registration: Please see information below!
Ekaterina Jussupow, M.Sc.

Ekaterina Jussupow, M.Sc.

Contact person for Bachelor's Seminar

For further information please contact Ekaterina Jussupow.

    Course Information

  • Brief Description

    Individuals and organizations operate in a world that is increasingly permeated with digital technology. Every day we interact with digital technology that makes our phones smart, our cars safe, and our lives convenient. Likewise, digital technology is embedded in the very core of the products, operations, and strategies of many organizations. The pervasive nature of digital technology is radically transforming our understanding of information systems (IS), encompassing their development, coordination, use, and the way we interact with them. To understand the impact of digital transformation an interdisciplinary approach is needed.

    The primary objective of this seminar is to shed light on these issues and enrich our knowledge about how digital technology impacts individuals and organizations. The knowledge should be will be put into an interdisciplinary context.

    Aim of Module

    In this seminar, students do not only gain a profound understanding of how to structure, classify, and evaluate existing research, but they also learn to effectively communicate their detailed and thorough insights. Students are equipped with diverse techniques of scientific writing and academic rigor. The successful participation in the seminar is an important step towards the master's thesis. The topics of the seminar are subdivided into the three tracks listed below. In case of further questions, please don't hesitate to contact us.

Fall/Winter 2019/2020

  • Registration

    You may register via our online registration tool only (accessible inside the university networkper VPN only) . Only in the below-mentioned registration period you can select the seminar in the registration form.

    Registration periodsee schedule


    • Write a short exposé (1 page) about your research motivation and approach for one selected topic
    • Provide your CV and your transcript of records

    Please refer to this page for updated information. We will not consider registrations by e-mailor incomplete data in the registration tool.

  • Topics

    The seminar is organized along three tracks. Students are asked to write an exposé with a first research approach to address one of subsequently presented topics. This exposé will be considered as the key reference for seminar entry, in addition to the CV and the transcript of records.

    A) Development and Use of Advanced Information Systems
    Requirement Elicitation from Short Text Fragments (very technological topic!) The use of Data Analytics and Machine Learning is becoming more and more important in the software engineering process, especially in the domain of requirement elicitation from customer feedback. As a part of the explicit user feedback (in comparison to implicit user feedback), for example the automated analysis of customer feedback from reviews or support forums is one of the corner stones of this trend.
    One big issue of using traditional text analytics and clustering algorithms is the problem of sparsity due to the very short text snippets. The aim of this seminar thesis should be to understand this problem in the context of text analytics and a comprehensive literature review of academic literature how to tackle it. Furthermore, an already labeled dataset of text snippets to elicit requirements can be used to test and compare algorithms.
    Philipp Hoffmann
    Advanced Analytics, Organizational Learning, Machine Learning Organizations across the world invest into so-called “Advanced Analytics” in a quest to boost performance, efficiency, and innovation. Advanced Analytics 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 predict future events and prescribe fruitful paths of action. Creating value from these assets is not straightforward, but requires organizations to build effective capabilities through organizational learning. The goal of the thesis is to advance our understanding of which capabilities are required, which learning processes are relevant in this context, how they work, and what organizations can do to foster them. Pascal Kunz
    Multi-Project Membership in Development Teams Many companies rely on organizational structures where individual product developers work in multiple projects at the same time. Effectively, these individuals work in multiple teams concurrently This seminar thesis reviews the organizational and information systems literature to understand how multi-project and multi-team membership influence individual developers and the joint performance of development teams. Kai Spohrer
    B) Innovation in Platform Ecosystems
    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 (consumers and complementors) to the platform.
    In the recent past, many platform owners introduced 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 seminar thesis, students are expected to review academic literature related to innovation consequences of superstar entries.
    Nele Lüker
    Platform ecosystems, platform strategies, competition, platform owner entry In platform-based businesses, platform owners (e.g., Apple, Google, Salesforce) and complementors (i.e., external providers of complementary products) jointly co-create value within a loosely coupled inter-firm network, the platform ecosystem. Although platform owners highly rely on their complementors (e.g., complementors provide innovative applications that extend the platform), platform owners frequently participate in complementors’ markets. For example, platform owners may provide own products that compete with third-party offerings. Such a participation of platform owners is likely to affect complementors in a significant way. In this seminar project, students are expected to review literature on competitive entry from various research fields and elaborate on platform owners’ competitive participation in platform ecosystems as well as on the differences between products provided by platform owners and third-party offerings. André Halckenhäußer
    C) Information Technology in Healthcare
    Machine Learning, Artificial Intelligence, Future of Work; Healthcare IT Systems based on artificial intelligence are disrupting current work practices in healthcare and might be able to replace work of expert physicians. Current applications include the automatic assessment of CT images, providing first diagnosis with the help of a chat bot or conducting psychotherapy without a doctor. However, we know little about if patients would interact with a machine instead of a human doctor. Also, boundaries of this interaction such as whether patients would use the AI just for a first assessment or delegate treatment decisions to these systems are yet to be explored. The goal of the seminar thesis is to identify research questions based on the current discussion in literature on algorithm preference and algorithm aversion. Students should be open to conduct a small exploratory data collection (online survey or interviews) to inform their ideas. Ekaterina Jussupow
    Healthcare IT, System design In the healthcare context (especially in the clinical context) there are countless opportunities for the use of both large information systems and smaller ones like mobile applications. Some applications are used by physicians and other healthcare professionals, some by patients, and some even jointly. In addition, there are applications that are used to prevent a person from becoming a patient in the first place or to improve their treatment with additional data which is collected on a long-term basis, and applications that are used to monitor the follow-up of the treatment.
    A seminar paper on this topic focuses on the literature that is relevant for a potential application (provided or proposed by the students). The IS literature as well as relevant medical literature have to be considered. A potential implementation of an IT artifact should also be addressed in order to build the foundation for a potential Master's or Bachelor's thesis where a prototype has to be implemented.
    Okan Aydinguel
    mHealth, effective use, behavior change An increasing number of individuals use mobile health (mHealth), such as Apple Health, Google Fit, Strava and other mHealth applications to adopt healthy behaviors and improve health outcomes. However, the extent to which use of mHealth impacts the desired outcomes remains inconsistent. This seminar takes the viewpoint of information systems research to investigate whether and how features in mHealth contribute to its effectiveness. More specifically, it explores how social features (e.g. features that facilitate social support and social comparison) can impact outcomes of mHealth use. It thereby focuses on reviewing the literature in order to bring together research related to mHealth, effective use, and behavior change. Monica Fallon
  • Schedule

    Event Deadline Deliverables
    Registration Period 01.08. - 02.09.2019 - Register via online registration tool
    - Motivate your topic interests with a first draft of your research approach as exposé
    - Include your CV, transcript of records and your exposé
    Notification of acceptance / rejection 04.09.2019  
    Deadline for Drop out 06.09.2019  
    Kick-Off Meeting 09.09.2019
    Room O048
    9:00am - 10:00am
    - Participate in the introductory kick-off session
    - Contact and meet your advisor
    Milestone 1 23.09.2019 Submit first draft to your advisor
    - Detailed outline
    - List of literature
    Milestone 2 21.10.2019 Submit second draft to your advisor
    - Table of contents
    - Introduction: fully formulated
    - Methodology: fully formulated
    - Results: fully formulated
    - Discussion: structured draft
    Submission of Paper 04.11.2019 - Submit two printouts of the seminar paper to the secretary (by noon)
    - Send a digital version of the seminar paper via e-mail to your advisor (by midnight)
    Presentation submission 18.11.2019 - Send your presentation in PDF format via e-mail to Ekaterina Jussupow
    Presentation 22.11.2019
    Room 108 (B6, 30-32, E-F)
    - Attend the seminar
    - Present and discuss your seminar paper in a joint workshop
    - Discuss and provide feedback for at least one of the other students’ seminar papers