DE / EN

Bachelor-Seminar

SM 452 für Bachelor­studierende (Wirtschafts­informatik)

Allgemeines

HWS 2021
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 ständig wachsenden Datenmengen verändern unser tägliches Leben und die Wirtschaft radikal. Eingebettet in den Kern der Produkte, Abläufe und Strategien vieler Unternehmen, verändern digitale Technologien bestehende Geschäfte in allen Branchen rasant. Neue Markt­angebote, Geschäftsprozesse und Geschäfts­modelle entstehen rund um den Einsatz dieser digitalen Technologien und führen zu digitalen Innovationen1. Die Allgegenwärtigkeit digitaler Technologien verändert unser Verständnis von Informations­systemen (IS) grundlegend, sowohl was ihre Entwicklung, Koordination und Nutzung als auch die Art und Weise, wie wir mit ihnen interagieren, betrifft. An unserem Lehr­stuhl bieten wir eine breite Palette von Forschungs­themen in diesem Bereich an, die auch neue digitale Technologien wie künstliche Intelligenz (KI) und maschinelles Lernen (ML) umfassen. Hierbei nehmen wir vor allem nachfolgende Perspektiven ein: Mensch-Computer-Interaktion, System­entwicklung, Wertschöpfung oder Organisation.

    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.

    1. Nambisan, S., Lyytinen, K. & Yoo, Y. Handbook of Digital Innovation. 2–12 (2020) doi:10.4337/9781788119986.00008.

    Sind Sie daran interessiert, mehr über digitale Innovation zu erfahren? Dann werfen Sie gerne einen Blick auf unseren Master­studien­gang IS 607 und/oder siehe Nambisan, S., Lyytinen, K. & Yoo, Y. Handbook of Digital Innovation, (2020), doi:10.4337/9781788119986. 

    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 2021

  • 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
    Human- Computer Interaction, Avatars Adaptable avatars in online games are a player’s virtual representation of their selves in a virtual space. Not only do they enable players to interact with the game, but they also play a central role in computer-mediated communication between players. To represent and express themselves, players often customize their avatars, such as their gender, face, hair, body, apparel accessories, or game-relevant items. In their customizations, players can also optimize their avatars to represent an “ideal” version of themselves. In this, avatars can act as a creative platform for identity construction.
    While this identity construction may be beneficial, by boosting self-esteem in the virtual environment, it might also cause conflicts between a player’s online and offline identity. This conflict can cause negative effects in the offline world, including gaming addiction, loss of self-esteem, or loss of physical relations­hips, amongst others.
    For this seminar paper, the student should conduct a structured literature review to provide an overview of the unintended social and psychological consequences of avatar use in online gaming. In addition, the student is expected to outline which theoretical perspectives have been used by previous studies to understand the relations­hip between avatar use and the identified negative consequences.
    Rosa Holtzwart
    B) Exploring Technological Advances of Artificial Intelligence
    Machine Learning in Auctions Auctions describe the concept of selling one or multiple goods to multiple bidders, who try to acquire it to the lowest possible price, outbidding each other. Thus, auctions, for example, concern public tenders, private sales (for example via eBay) or ad auctions (for example Google Ads). Auction theory, a branch of game theory, deals with the question of how auctions can be structured and how utility maximizing auctions can be defined.
    In order to approach optimal pricing strategies and optimal auction design and to better understand complex auctions, as well as their equilibria, Machine Learning methods have finally been applied in the subject area of auction theory in the last few years and already show first, promising successes. Nevertheless, the use of these methods in the field of auctions is still largely unexplored and many questions are still open.
    For this seminar paper, the student is expected conduct a structured literature review to provide an overview of the use of Machine Learning in auction design and bidding strategies. The goal is to analyze the state of Machine Learning applications and concepts considering auctions and, in addition to that, derive further research questions and topics that arise from the review.
    Prof. Dr. Armin Heinzl
    Computational Creativity; UI/UX Design 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). An outcome of a creative process can be considered creative when it is useful and novel. In this seminar, the aspect of ‘usefulness’ is regarded, which is usually associated with the ‘utility’ and ‘functionality’ of a product. However, especially in design, we assume that usefulness likewise arises from the ‘appeal’ and ‘aesthetics’ of a product. Based on a structured literature review, the goal of this seminar paper is to explore extant research that investigates the connection between these two aspects, i.e., ‘appeal’ and ‘utility’. Particularly, as context, the organizational task of designing user interfaces (UI) and user experience (UX) is considered. This may encompass the design of layouts, fonts, illustrations, animations, interaction mechanisms, interaction paths, etc. Thus, eventually, the seminar paper should suggest avenues for future research to include and enhance the knowledge on the connection between ‘utility’ and ‘appeal’ to be usable in computational creative systems for designing UIs/UX. Deborah Mateja
    Requirements Elicitation in Information Systems A target-oriented Requirements Engineering (RE), the process of deriving the necessary requirements for a piece of software, is one of the key success factors of Information Systems Development (ISD). Information systems (IS) research has been addressing the topic from a behavioral and empirical as well as from a design science perspective.
    A tremendous evolutionary step in RE is called data-driven RE. Data-driven RE enriches the methods of collecting and analyzing user input in traditional RE with the automated and continuous analysis of novel feedback sources as well as with the analysis of context-aware usage data to identify, prioritize, document, and manage requirements for a software product.
    For this seminar thesis, the student should review current IS and software engineering literature to gain an overview on the main ideas for the second part of data-driven RE, namely leveraging usage-data for RE. The discussion of the findings should compare the identified approaches from a self-derived framework or taxonomy.
    Philipp Hoffmann
    Hybrid AI, Explainable AI The “black box nature” and lack of reasoning of Machine and Deep Learning applications are critical in high-stakes domains such as healthcare. Therefore, it has accelerated scientific interest in the development of eXplainable AI (XAI) to provide explanations for the cause of its decisions. In a recent trend, research identified synergies in combining several AI techniques in order to get the best from each method. Enriching data-driven machine learning with knowledge, such as rules represented in symbolic form, brings a deeper level of understanding to intelligent systems and enhances explainability. Therefore, this seminar paper assesses the current state of hybrid AI to provide an overview of the forms of hybrid AI systems that exist and how recent works contribute to explainability. Luis Oberste
    C) Value Creation in Platform Ecosystems
    Platform Ecosystems, Platform Governance, Soft Governance Mechanisms In a platform business model, platform owners (e.g., Apple or Google) allow independent third-parties, 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 with more than two 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 for platform owners. Platform governance remains one of their major challenges. Up until now, academic literature has focused on hard governance mechanisms. Hard governance establishes output control and assures app quality by limiting the access of third-party developers and their app submissions to the platform market based on rules and guidelines (e.g. app review process). In contrast, so-called soft governance mechanisms aim to increase app quality and direct innovation by highlighting and rewarding desirable behavior of outstanding complementors (e.g., selective app endorsement, developer awards). Thereby, platform owners create role models that are likely to be followed by other complementors.
    In this seminar thesis, students are expected to review academic literature on platform governance to deepen our understanding of ‘soft’ governance mechanisms that shape complementary innovation in platform ecosystems.
    What is a platform ecosystem? Start reading here: hbr.org/2016/04/pipelines-platforms-and-the-new-rules-of-strategy
    Nele Lüker
    Platform Ecosystems, Platform Evolution, Platform Governance Digital platforms have become omnipresent both in personal and professional contexts. Prominent examples include Apple iOS, Google Android, Salesforce or Siemens Mindsphere. In contrast to traditional seller-buyer relations­hips, value creation in platforms is organized in loosely coupled inter-firm networks, so-called platform ecosystems. In this way, a platform as “stable element” promotes variety in its periphery, i.e., complementary innovation (e.g., mobile app development), by potentially unlimited external parties (e.g., app developers). In any ecosystem, evolution is a central process yielding continuous change and adaptation. Despite the notion of platforms as “stable core” (Baldwin and Woodard 2009; Jacobides et al. 2018), platforms continuously evolve over time. For example, platform owners release updates to the platform core, addressing maintenance or feature issues and frequently engage in acquisitions thereby integrating technology of external companies into the platform. In this seminar project, students are expected to review extant literature that deals with the evolution of platforms to identify mechanisms through which platforms evolve and to discuss implications on ecosystem participants and platform governance.

    • Baldwin, C. Y., and Woodard, C. J. 2009. “The Architecture of Platforms: A Unified View,” in Platforms, Markets and Innovation, A. Gawer (ed.), Cheltenham, UK and Northampton, US: Edward Elgar Publishing Limited, p. 1.
    • Jacobides, M. G., Cennamo, C., and Gawer, A. 2018. “Towards a Theory of Ecosystems,” Strategic Management Journal, pp. 1–22.
    André Halckenhäußer
    B2B2P Platform Ecosystems, Scaling Mechanisms, Healthcare New technologies and the increasing amount of data are transforming traditional businesses. Today, the most valuable companies are built on digital platforms that bring together two or more market actors and grow through network effects (1). Especially in the healthcare sector, organizations recently start to shift from traditional pipeline business models to platform business models by establishing new digital platforms (2). In comparison to the well-known B2C platform business models (i.e. Uber, AirBnB), healthcare digital platforms recently focus on B2B (i.e. Siemens Teamplay), or so called business-to-business-to-patient (B2B2P) platform business models (i.e. Teladoc Health). Research on scaling digital platforms has so far concentrated on B2C digital platform ecosystems, specifically with focus on various influencing factors of network effects. Research on their B2B and B2B2P co­unterparts however, is still sparse. Particularly, in the context of the healthcare industry, research still lacks on insightful studies. To work on the seminar paper, students can select between two main research goals:
    (a) The student is expected to conduct a structured web search in order to identify B2B2P digital platform ecosystems. Furthermore, the student should derive the key characteristics of B2B2P digital platform ecosystems and elaborate the similarities and differences of these emerging business model.
    (b) The student is expected to conduct a structured literature review in order to elaborate key scaling mechanisms of healthcare digital platform ecosystems.

    1. Cusumano, M. A., Yoffie, D. B. & Gawer, A. The Future of Platforms. MIT Sloan Management Review (2020).
    2. Alstyne, M. W. V., Parker, G. G. & Choudary, and S. P. Piplelines, Platforms and the New Rules of Strategy. Harvard Business Review (2016).
    Timo Himmelsbach
  • Kursüberblick und -termine

    Event Zeitraum / DeadlineArbeits­ergebnisse
    Registrierungs­zeitraum 15.7. – 6.9.2021 (23:59) – Registrierung über das Online-Tool
    – Fügen Sie Ihren Lebenslauf, das Notentranskript und Ihr Motivations­schreiben an
    Versand der Bestätigungen 8.9.2021 (mittags)
     
    Deadline zum Rücktritt 9.9.2021 (mittags)  
    Kick-Off Meeting 13.9.2021
    8:30 - 9:30 Uhr
    Raum: 001 (L 9) + ZOOM
    – Teilnahme an der Kick-Off-Einführungs­veranstaltung
    – Kontakt und Treffen mit Ihrem Betreuer
    1. Meilenstein 27.9.2021 Ersten Entwurf bei Ihrem Betreuer einreichen:
    – Detaillierte Gliederung
    – Literatur­verzeichnis
    2. Meilenstein 25.10.2021 Zweiten Entwurf bei Ihrem Betreuer einreichen:
    – Inhaltsverzeichnis
    – Einführung: vollständig formuliert
    – Methodik: vollständig formuliert
    – Ergebnisse: strukturierter Entwurf
    – Diskussion: strukturierter Entwurf
    Abgabe der Arbeit 8.11.2021 (mittags) – Zwei Ausdrucke der Seminararbeit beim Sekretariat einreichen (bis 12 Uhr)
    – Senden Sie eine digitale Version der Seminararbeit per E-Mail an Timo Himmelsbach (himmelsbach uni-mannheim.de) und an Ihren Betreuer (bis 12 Uhr)

    Änderung aufgrund von Corona: Bitte senden Sie Ihre Arbeit bis 12 Uhr im PDF-Format per Mail an Timo Himmelsbach (himmelsbach uni-mannheim.de) und setzen das Sekretariat (wifo1 uni-mannheim.de) auf CC. Bitte reichen Sie zudem, so bald wie möglich nach dem Abgabetermin, zwei Ausdrucke im Sekretariat ein.
    Abgabe der Präsentation 22.11.2021 (mittags) – Optional: Bitten Sie Ihren Betreuer vorab um Feedback zur Präsentation
    – Senden Sie Ihre Präsentation im PDF-Format per E-Mail an Timo Himmelsbach (himmelsbach uni-mannheim.de)
    Präsentation 26.11.2021 – Besuchen Sie das Seminar und beteiligen Sie sich aktiv an der Diskussion am Seminartag
    – Präsentieren und diskutieren Sie Ihre Seminararbeit im gemeinsamen Workshop
    – Diskussion und Feedback für mindestens eine Seminararbeit der anderen Studierenden
  • Literatur