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Friedrich-Alexander-Universität Digital Transformation: Bits to Energy Lab Nuremberg WiSo
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    1. Friedrich-Alexander University
    2. School of Business, Economics and Society
    Friedrich-Alexander-Universität Digital Transformation: Bits to Energy Lab Nuremberg WiSo
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    5. Survey Research in Information Systems  – Gen AI Applications (SURIS)

    Survey Research in Information Systems  – Gen AI Applications (SURIS)

    Bereichsnavigation: Lehre
    • Abschlussarbeiten
    • Lehrveranstaltungen
      • Bachelor
        • Survey Research in Information Systems  - Gen AI Applications (SURIS)
        • Data-driven behavioral interventions for sustainability (DABIS)
        • Digital transformation in the energy and mobility sector (DITEM)
        • E-Business und E-Commerce (EBEC)
        • Experimentelle Verhaltensforschung in Data Science (EVIDS)
      • Master

    Survey Research in Information Systems  – Gen AI Applications (SURIS)

    Contents

    Generative artificial intelligence (GenAI) is rapidly becoming pervasive in our society. Information Systems research can help address associated challenges by rigorously studying related emerging phenomena. This seminar introduces students to the method of survey design in order to study an aspect of GenAI usage. Over the semester, students work in teams to identify a relevant phenomenon by reviewing scientific literature, develop a theoretical framework, and design a survey to tackle their research question. The seminar will progress from conceptualization to survey design, psychometric analysis, and academic writing. Completion of the module requires active participation, submission of intermediate assignments, the final seminar paper, and the presentation.

    The research seminar prepares students for their Bachelor thesis, so that they are able to answer a concrete research question in the field of digital transformation.

    More specifically, students …

    • understand important behavioral theories
    • get a first impression on theory testing
    • relate the insights to practical challengess
    • understand the limitations of the theories
    • structure and plan a research-related assignment
    • read and evaluate scientific publications
    • write a scientific report
    • use and cite literature sources
    • present research findings to an audience
    Recommended prerequisitesNone
    Time and roomWednesday, 11:30-13:00; room 0.144 LG
    Method of examinationSeminar paper and presentation
    Grading procedureSeminar paper (70%), presentation (30%)
    Module frequencyWS, irreg.
    WorkloadContact hours: 30 h
    Independent study: 120 h
    Module duration1 Semester
    Teaching and examination languageEnglish
    (Recommended) readingWill be announced in class

    This course is held in English.

    Friedrich-Alexander-Universität
    Lehrstuhl für Digitale Transformation

    Lange Gasse 20
    90403 Nürnberg
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