Inhalt

[ 515DIGIMADU20 ] UE Management of Digitization and Use of Business Information Systems

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Business Administration Barbara Krumay 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Business Administration 2025W
Learning Outcomes
Competences
Through this module, students will be familiar with the basic terminology and essential types of application software to support operational tasks and with regard to the management of digital transformation processes. Students will know the potential, limits and possibilities of supporting operational performance processes and tasks through ERP and other core systems and will be able to assess their use in organizations (e.g. companies, public administration). Students will be familiar with basic process models and methods for the development and operation of information systems and will be able to apply them. Students will also know the basic tasks and methods of information management and the management of digitization projects in companies, also in the context of the service industry and platform economy.
Skills Knowledge
Learning Outcomes

  • LO3: Verständnis (Understanding): Students can explain the role of digitalization in the economy and the role of business informatics in this.
  • LO4: Verständnis (Understanding): Students can describe the potential and limitations of ERP and other operational core systems (BIS) to support operational processes.
  • LO5: Verständnis (Understanding): Students can vividly present the challenges and opportunities of digital transformation in various industrial contexts.
  • LO6: Anwendung (Applying): Students can assess the use of ERP and other operational core systems (BIS) in different organizational contexts (e.g. companies, public administration) and identify concrete use cases.
  • LO7: Anwendung (Applying): Students can apply basic methods of information management to control digitization processes.
  • LO8: Analyse (Analyzing): Students are able to use and apply process models for the development and operation of information systems and compare and assess their suitability for different business contexts.
  • LO9: Synthese (Evaluating): Students can reflect on and evaluate the effects of digitalization on society and companies.
Learning Outcomes

  • LO1: Wissen (Remembering): Students are able to name and explain the basic terms and concepts of digitization and business informatics.
  • LO2: Wissen (Remembering): Students can enumerate basic types of IT infrastructure, software and hardware to support operational tasks and describe their areas of application.
Criteria for evaluation The module course (consisting of lecture and exercise) is assessed on the basis of written exams and practical performance. All listed achievements are thus explicitly included in the evaluation of the exercise. The following scheme is applied:

Assessment TypLearning Outcomes
Written exams 50 points in total: 1.: as 2 exams for Part 1 and Part 2 (according to the documents) - approximately in the middle of the semester and at the end of the semester, 25 points each. 2.: as a full exam or as part of the additional exam – around the end of the semester or lecture-free period, 50 pointsThe exams, consisting of open and/or multiple choice questions on the content taught in the module and serve to assess the individual acquisition of the described knowledge (LO1, LO2) and selected skills. (LO3, LO4, LO5, LO6 and LO9)
Processing of exercises and homework from the exercise (UE units), 40 pointsThe exercises serve to teach selected skills and competencies and to assess the acquisition of selected skills and competences. (LO6, LO7, LO8)
active participation in the exercise (UE units), 10 pointsActive participation in the exercise serves to continuously promote the motivation of the learners as well as to continuously assess individual progress. (LO6, LO7, LO8)

At least one date for the full exam is offered, in which all content (part 1 and part 2) must be completed positively. Through active and prepared participation in the lecture dates or through the independent development of content, up to 10 bonus points can also be achieved during the lecture (FC sessions). If a positive assessment is achieved in the mandatory performance assessments, the bonus points are added up and can improve the module grade.

For a positive assessment, at least 40% of the possible points must be achieved in each sub-area (exam for part 1, exam for part 2, tasks in the exercise, participation) and at least half of the points per module part (lecture, exercise). Students who only need a lecture certificate for reasons of study law will have access to the documents from the exercise.

Nutzung von KI / Usage of AI-Tools:

The use of AI tools in the context of performance assessment (e.g. exams, written papers and submissions of any kind that are used for the assessment of performance) is not permitted for this course, unless work with AI tools is expressly requested and permitted by the course instructor as part of the task (e.g. homework statement).

If AI tools are used for the performance without the consent of the course instructor, this is considered to be the use of unauthorized aids with all the consequences specified in the JKU statutes.

In the event of explicit permission or requirement for the use of AI tools by the respective course instructor, the following regulations apply to complete documentation:

  • Complete documentation of the use of the AI tool(s) (tool, type of use, input (prompting) / type of output (e.g. text, image, ...), date of use, provision of the chat link).
  • In written elaborations (e.g. homework, essays, etc.): Marking the content processed by AI tools and naming what kind of service the AI has provided (e.g. research purposes, linguistic improvement, grammar check, translations)
  • Zitation lt. APA 7 – siehe https://guides.library.uwa.edu.au/apa/Gen_AI)
  • Confirnation that no other tools have been used
  • The responsibility for the accuracy of the content provided by the AI lies with the students.
  • AI recognition software is used by the course instructors – a missing marking is considered plagiarism.
Methods The course content is taught in the form of an interactive lecture based on discussion and case studies, which is accompanied and supplemented by exercise classes (UE).

The lecture uses a flipped classroom concept in which students independently develop content that is discussed in joint lecture sessions (FC-Sessions). The lecture content and recordings are available under lecture2.ie.jku.at (access data can be found in Moodle). In order to participate meaningfully in the discussions within the flipped classroom sessions and also the accompanying exercise units, it is necessary to work on the specified content before the respective unit.

The module course consists of a lecture (VL) and an exercise (UE), which are coordinated with each other and should therefore be attended in the same semester. Based on the lecture material, practical problems are to be solved and presented in group work in the exercise. The exam dates are announced in KUSSS, and the mandatory exam registration is also done via KUSSS.

Language (*)Deutsch / English
Study material Basisliteratur / Basic Literature:

  • Heinrich, L. J.; Heinzl, A.; Riedl, R.: Wirtschaftsinformatik. Einführung und Grundlegung. 4. Auflage, Springer-Verlag: Berlin Heidelberg New York, 2011.
  • Pearlson, K.E. Saunders, C. S., Galletta, D. F. (2006): Managing and using information systems: a strategic approach.

Online Material via KUSSS/Moodle:

  • Slide sets used in the VL and UE
  • Video recordings on lecture2.ie.jku.at (access via Moodle, available in German and Englisch Language)
  • Discussion and exercise material provided in the context of the flipped classroom sessions or the exercise units
  • Self-assessment tests with questions about the subject matter for students to independently check their level of performance
  • Notes and provision of supplementary literature
  • Homework
Changing subject? No
Further information Attending the lecture (Vorlesung) connected with this exercise in the same semester is obligatory.
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority