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Bachelor-Seminar

SM 452 für Bachelor­studierende (Wirtschafts­informatik)

Allgemeines

HWS 2020
Verantwortlicher Dozent Prof. Dr. Armin Heinzl
Veranstaltungs­art Seminar
Leistungs­punkte 5 ECTS (WI ab HWS 2013), 4 ECTS (WI bis HWS 2013)
Sprache Englisch
Prüfungs­form und -umfang Seminarpapier (70%), Presentation (20%), Diskussionsbeitrag (10%)
Prüfungs­termin Siehe Infos zur Veranstaltung
Infos für Studierende Registrierung: Bitte beachten Sie unten stehende Informationen!
Timo Himmelsbach, M.Eng.

Timo Himmelsbach, M.Eng.

Ansprech­partner Bachelor-Seminar

Bei Fragen wenden Sie sich bitte an Timo Himmelsbach​​​​​​​.

    Infos zur Veranstaltung

  • Kurzbeschreibung

    Digitale Technologien und die wachsenden Datenmengen beeinflussen unser tägliches Leben und die Wirtschaft. Wir stehen vor großen globalen Herausforderungen wie Pandemien, humanitären Krisen, Ressourcenknappheit und Klimawandel. Digitale Technologien können einen Beitrag zur Bewältigung der großen Herausforderungen liefern. Ebenso sind digitale Technologien in den Kern der Produkte, Abläufe und Strategien vieler Unternehmen eingebettet. Die allgegenwärtige Natur von Technologie verändert unser Verständnis von Informations­systemen (IS) radikal und umfasst deren Entwicklung, Nutzung und die Art und Weise, wie wir mit ihnen interagieren.

    Technologien wie Künstliche Intelligenz (KI) oder maschinelles Lernen (ML) bieten neue Möglichkeiten der computer­gestützten Kreativität oder der Software­entwicklung und verändern Organisationen sowie deren Struktur. Zudem verbreiten sich Plattform-Ökosysteme immer weiter und mit ihnen datenzentrische Geschäfts­modelle. Darüber hinaus lassen sich Veränderungen in unseren Gesundheitssystemen erkennen, die zunehmend durch die Digitalisierung vorangetrieben werden. Nicht zuletzt verändert sich die Interaktion zwischen Mensch und Technologie durch technologische Entwicklungen wie etwa Chatbots oder mobile Gesundheitsapps.

    In unserem Seminar untersuchen wir den Einfluss digitaler Technologien auf Individuen und Organisationen. Dabei verknüpfen wir die angebotenen Themen mit unseren laufenden Forschungs­arbeiten, die auf höchstem internationalem Niveau veröffentlicht wurden und werden.

    Ziel des Seminars

    In diesem Seminar erwerben Sie nicht nur die Fähigkeit, bestehende Forschungs­arbeiten zu identifizieren, einzuordnen und zu bewerten, sondern lernen auch, darauf aufbauend, eine eigene Forschungs­agenda zu entwickeln und diese gegenüber den anderen Teilnehmern des Seminars zu präsentieren und diskutieren. Ihnen werden unterschiedliche Techniken des wissenschaft­lichen Arbeitens und Schreibens vermittelt, damit Sie bestmöglich auf die Konzeption und Anfertigung Ihrer Master­arbeit vorbereitet werden. Zu diesem Zweck bieten wir in unserem Seminar fünf unterschiedliche Themen­bereiche an, die hoffentlich Ihr Interesse wecken.

Herbst/Winter 2020

  • Registrierung

    Registrierung erfolgt ausschließlich über das Registrierungs­portal (erreichbar innerhalb des Uni-Netzwerkes oder per VPN). Nur im unten aufgeführten Zeitraum ist eine Registrierung möglich. Dazu bitte das Seminar im Formular auswählen.

    Registrierungs­zeitraum: siehe Termine

    Anforderungen:

    • Kurzes formloses Motivations­schreiben (maximal 1 Seite):
      • Bitte wählen Sie ein Thema und begründen Sie Ihre Wahl (Was interessiert Sie besonders? Was möchten Sie lernen?). Bitte nennen Sie auch zwei Alternativthemen
    • Lebenslauf und Studien­ergebnisse (Notentranskript)

    Diese Seite wird aktualisiert, sobald sich Änderungen ergeben. Es werden weder Registrierungen per E-Mail noch unvollständige Formulare entgegengenommen

  • Themen

    Die Studierenden werden gebeten ein kurzes formloses Motivations­schreiben (maximal 1 Seite) zu verfassen um ein Thema zu wählen und diese Auswahl kurz zu begründen. Dieses Motivations­schreiben wird neben dem Lebenslauf und des Notentranskripts als wichtige Referenz für die Seminarzulassung angesehen.


    A) Human-Computer Interaction
    Chatbot, Conversatio-nal Agents, Media Richness Theory Conversational agents (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 conversations. Recent human-computer interaction research on CAs provides knowledge on how to design humanlike CAs. In this seminar paper, you are expected to investigate how increasing the number of anthropomorphic (human-like) cues in the design of a CA may impact the media richness and resultant behavioral outcomes of the human-CA inter¬action. According to media richness theory, communi¬cation media (in our case a CA) differ in the richness of information that can be processed. The highest level of media richness is provided by face-to-face interaction. This theory also proposes, that rich media enable people to interpret and reach agreement about unanalyzable, difficult, and complex issues, while lean media are appropriate for communicating about routine activities. Accordingly, the media richness of a medium has an impact on performance in differing task contexts. Based on a structured literature review, the objective of this seminar paper is to theoretically deduce how varying levels of anthropomorphic design may translate in varying levels of media richness, and ultimately impact user behavior in different human-CA interaction tasks. Anna-Maria Seeger
    B) Exploring Technological Advances of Artificial Intelligence
    Computational Creativity Creativity is one of the most essential organizational skills as it is key for product innovation. Increasingly, machines replace or supplement classical ‘offline’ approaches regarding creative processes. Creativity supported or conducted by machines is studied in the field of computational creativity (CC). Human creativity research has extensively studied the impact of social-environmental influences on the creative capability. However, these influences have been widely overlooked in extant CC research.
    The objective of this seminar paper is to review existing approaches in CC that allow a computationally creative system (CCS) to interact with its environment in order to enhance its creative capability.
    Deborah Mateja
    Software Requirements Elicitation from Usage Data The use of Data Analytics and Machine Learning is becoming more and more important in the software engineering process, especially in the domain of requirements elicitation during the post-deployment from software usage data. In former research, it was addressed as implicit user feedback and contained various levels of the Post-Deployment Data Usage Framework derived by Olsson and Bosch, 2013. The objective of this seminar paper is to conduct a comprehensive literature review of the scholarly published literature regarding this topic and to compare it with similar approaches in related areas, like process mining, artificial intelligence, and machine learning. Philipp Hoffmann
    C) Impact of Artificial Intelligence and Business Analytics
    Business Analytics, Decision Theory, and Machine Learning Organizations invest heavily in Business Analytics (BA), but many fail to realize the expected benefits. Although emerging empirical findings suggest a positive impact of BA on firm performance, explanations of BA value creation remain superficial. Extant literature has highlighted that first-order effects of BA impact decision making, but the reviewed prior work does not further specify the underlying conceptual¬izations of decision making and how information and knowledge created from BA can influence decisions. The goal of this seminar thesis will be to review and compare theories of organizational decision making and discuss the potential impact of Business Analytics on decision processes and outcomes. Pascal Kunz
    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 (please see https://www.cio.com/article/3437436/rethinking-software-development-in-the-ai-era.html for further details). This seminar paper assesses the current state of technology to elaborate how the different tasks of software development are changing with the arrival of increasingly powerful AI technologies from a practical and from an academic angle. It outlines the status quo regarding the target vision of autonomously developing application software and identifies the relevant academic research streams.
    Dr. Kai Spohrer
    D) Value creation from platforms ecosystems
    Platform ecosystems, complemen¬tor survival strategies, and comple-mentor success Firms increasingly shift towards platform strategies: They open their core technology and involve external parties in developing and commercializing products. This development gives rise to what has been called the “platform economy” and incorporates significant changes regarding the way firms cooperate and compete with each other. In contrast to traditional seller-buyer relations­hips, value creation in such contexts is organized in loosely coupled inter-firm networks, so-called platform ecosystems. Participating actors highly depend on each other and complementors rely on the platform’s development and distribution capabilities (e.g., software development kits, execution environments) while platform owners count on external innovations to complement the platform (e.g., apps on Apple’s AppStore). Nowadays, succeeding in the market for complementary products is becoming increasingly difficult and developers even draw comparisons towards winning a “lottery” (Boudreau 2012, p.1410). In contrast to the prevalent focus of extant research on platform owners, this seminar paper will draw emphasis on the complementor perspective. In particular, students are expected to review extant platform-related literature, elaborate on the challenges comple¬mentors are confronted with and gather insights regarding strategies to survive and grow in the fiercely competitive platform environments.

    Boudreau, K. J. 2012. “Let a Thousand Flowers Bloom? An Earlier Look at Large Numbers of Software App Developers and Patterns of Innovation,” Organization Science (23:5), pp. 1409–1427.
    André Halckenhäußer
    Platform Ecosystems, Innovation, and Governance In a platform business model, firms allow independent third-parties, so-called complementors, to participate in the deve¬lop¬ment and commercialization of their technology through the contribution of complementary innovation. 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 success of platform ecosystems is highly dependent on innovative and high-quality complements of third-party developers. Yet, incentivizing complementary innovation is a complex endeavor and platform governance remains one of the major challenges for platform owners. In this seminar paper, students will review academic literature on platform innovation to deepen our understanding of the mechanisms that shape complementary innovation in platform ecosystems. If you want to know more about the fascination of platforms, you may start reading here. Nele Lüker
    Data-Driven/Platform Business Models, Data Monetization, and Healthcare New technologies and the increasing amount of data are transforming traditional businesses. As one of the largest sectors of the world’s economy, the healthcare industry, needs to adapt their business models in order to keep up with the speed of digitalization. Recently, data-driven business models (DDBMs) have become an important domain of research with increasing interest. The aim of this seminar paper will be to conduct a comprehensive literature review in the field of DDBMs with focus on data pricing and monetization strategies. Timo Himmelsbach
    E) Healthcare IT
    Healthcare IT, mHealth apps, and Software Development The increasing digitalization of social life is changing the demands on modern healthcare and at the same time offers opportunities for a more efficient healthcare system. Digital developments can specifically combine the achievements of information technology and medical technology. They offer vast potentials to make healthcare more efficient and to significantly improve diagnostics and therapies. This seminar paper deals with the literature that is relevant for the development of an application that supports the admission workflow of patients. The admission workflow includes recording patient data, appointment scheduling, preparing documents, informing patients and filling out medical questionnaires. Seminar participants are expected to identify the state of the art of digitalizing the admission workflow and to examine existing solutions in the literature including their strengths and weaknesses as well as the challenges during their development and integration into existing workflows. Dr. Okan Aydingül
    Integration of data and AI applications in healthcare, and legal aspects Systems incorporating Artificial Intelligence (AI) techniques show many promising applications to support diagnosis, treatment, and more. To deploy them in clinical practice, where decisions might have severe consequences to human life, a deeper understanding of the algorithms and their operation in context is necessary to reduce both physical danger to patients as well as legal risk to the healthcare providers. Not only data protection laws (e.g., GDPR) but also code of conducts, norms, and other standards expect competent, safe, transparent, and ethical AI applications that software engineers and data scientists need to take care of. This seminar paper deals with extant literature that addresses deployments of AI in healthcare that fulfil or cope with these requirements. It aims to identify healthcare-specific requirements to AI-based systems and the effects on the technological design of such systems. Luis Oberste
    mHealth, effective use, behavior change, study design 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, there are inconclusive results on the extent to which mHealth use facilitates behavior change. While most mHealth research uses randomized clinical trials (RCTs) to understand the impact of mHealth use on behavior change, researchers have recently proposed alternative study designs (e.g. micro-randomized trials, SMART trials). This seminar paper will (1) identify weaknesses of RCTs in mHealth research; (2) propose alternative study designs and their benefits; and (3) identify how these alternative study designs can better leverage mHealth technology to facilitate behavior change. Monica Fallon
  • Termine

    Early movers

    Wir haben eine Reihe von Anfragen erhalten, ob es möglich sei, die Seminararbeit in der semesterfreien Zeit zu bearbeiten. Wir verstehen, dass einige Studenten nicht in der Lage sind, ihr Praktikum anzufangen, und deshalb daran interessiert sind, stattdessen während des Sommers an ihrer Seminararbeit zu arbeiten. Wenn dies für Sie der Fall ist, senden Sie bitte bis zum 15. August 2020 eine E-Mail an unser Sekretariat und laden Sie alle erforderlichen Materialien wie unter Anmeldung aufgeführt hoch. Ihre Bewerbung wird dann vom Themenbetreuer geprüft. Falls Sie nicht als Early Mover in Betracht gezogen werden können, wird Ihre Bewerbung im regulären Auswahl­verfahren für das Seminar im September berücksichtigt.


    Event Zeitraum / DeadlineArbeits­ergebnisse
    Registrierungs­zeitraum 1.8.2020–20.9.2020 (23:59) - Registrierung über das Online-Tool
    - Regen Sie Ihr Themeninteresse mit einem ersten Entwurf Ihres Forschungs­ansatzes als Motivations­schreiben an
    - Fügen Sie Ihren Lebenslauf, das Notentranskript und Ihr Motivations­schreiben an
    Versand der Bestätigungen 23.9.2020 (mittags)  
    Deadline zum Rücktritt 24.9.2020 (mittags)  
    Kick-Off Meeting 28.9.2020 Teilnahme an der Kick-Off-Einführungs­veranstaltung, Kontakt und Treffen mit Ihrem Betreuer
    1. Meilenstein 12.10.2020 Ersten Entwurf bei Ihrem Betreuer einreichen:
    - Detaillierte Gliederung
    - Literatur­verzeichnis
    2. Meilenstein 9.11.2020 Zweiten Entwurf bei Ihrem Betreuer einreichen:
    - Inhaltsverzeichnis
    - Einführung: vollständig formuliert
    - Methodik: vollständig formuliert
    - Ergebnisse: vollständig formuliert
    - Diskussion: strukturierter Entwurf
    Abgabe der Arbeit 23.11.2020 Zwei Ausdrucke der Seminararbeit beim Sekretariat einreichen (bis 12 Uhr),
    Senden Sie eine digitale Version der Seminararbeit per E-Mail an Ihren Betreuer (bis Mitternacht).
    Abgabe der Präsentation 27.11.2020 Senden Sie Ihre Präsentation im PDF-Format per E-Mail an Timo Himmelsbach
    Präsentation 4.12.2020 - Besuchen Sie das Seminar
    - Präsentieren und diskutieren Sie Ihre Seminararbeit in einem gemeinsamen Workshop
    - Diskussion und Feedback für mindestens eine Seminararbeit der anderen Studierenden