Assignment

DI in Industry (DIiI)

Andy Weeger

Neu-Ulm University of Applied Sciences

February 7, 2026

Task

During the semester you will be required to

  • gain insights into different application domains of digital innovation;
  • research an organization in a specific industry, its challenges and how it addressed these by means of developing and introducing a digital innovation;
  • present defined interim results at defined dates (see timetable);
  • summarize your findings in a seminar paper (case research study);
  • receive and process feedback after each presentation; and
  • listen to the presentations of your fellow students and give constructive feedback.

Paper

The seminar paper is composed of following elements (you can change order of chapters such as approach and solution if it supports to your story-line)

  • Summary/abstract
  • Introduction (hook)
  • Industry (characteristics, challenges)
  • Company (overview, specifics)
  • Problem
  • Approach (innovation process)
  • Solution
  • Discussion (explanation)
  • Lessons Learned (recommendations)
  • Appendix A (methodology & sources)
  • Appendix B (process documentation)
  • Appendix C (comparative reflection)

Industries

The case should focus on a digital innovation in one of the following industries

  • Healthcare
  • Manufacturing
  • Construction
  • Logistics/transportation
  • Retail
  • Professional services
  • Entertainment

Presentations

You will present your interim results repeatedly throughout the semester (optional, please sign-up)

  • Ideas (brief intro to two to three digital innovations)
    GATE — assignment of the topics
  • Industry & company (characteristics & challenges)
  • Problem, approach and solution (development & implementation)
  • Discussion (theoretically grounded explanations and leassons learned)

For dates please see the schedule

Formal requirements

Seminar paper

  • Use the template offered here
  • The paper should be at least 12 pages long and must not exceed 16 pages
  • The case must be grounded in at least one primary data source (e.g., expert interview, survey, observation); the data collection must be documented in Appendix A
  • The appendices (A, B, C) are mandatory and do not count towards the page limit
  • An AI Declaration must be submitted separately
  • The paper must be uploaded as PDF (Moodle)

Presentations

  • Max. 3 minutes
  • Summary of the main points
  • At least one question you want to have feedback to
  • No formal requirements on the slides
  • Slides must be handed in as PDF (Moodle)

Evaluation criteria

Passing criteria

The following are threshold requirements. Deficiencies in these areas will result in a failing grade regardless of content quality.

  • The writing is clear, easy to read, and largely free of errors
  • All formal requirements are met (template, page limits, formatting)
  • Sources are properly cited and referenced
  • The case includes at least one documented primary data source
  • An AI Declaration is provided

Grading criteria

The grade is determined by the following components and their respective weights. The passing criteria above must be met for the grading criteria to be applied.

Component Weight Key characteristics
Case study 50% Compelling intro; industry well characterized; company and problem fully elaborated; DI, process and industry relations well outlined; theory-based discussion; actionable recommendations
Comparative reflection 20% Meaningful comparison with ≥2 peer cases; contextual differences and commonalities identified; transferable insights derived
Process documentation 20% Transparent evolution of understanding; reflection on feedback integration; key turning points identified
Data quality 10% Primary data adds genuine depth beyond publicly available information; data collection is methodologically sound and well documented
Table 1: Grading criteria

An example for inspiration (not for copying)

Bonus points

You can earn bonus points.1

The bonus points are assigned based on continuity and quality of your contributions to the exercises and discussions with our guest speakers.

The bonus points can improve your performance by up to two grade increments (up to .7).

A note on grades

Grade Meaning
1 — very good A truly outstanding achievement that (not only) shows no deficiencies in the criteria mentioned, but also gives both the supervisor and external assessors an excellent impression.
2 — good Work that exceeds the average requirements/performance and is easily recognizable and presentable to the outside world as a “good performance”.
Note 2.5 is the average of passed assessments, i.e., an “average performance”
3 — satisfactory A performance that achieves the desired goal “to a satisfactory extent”; however, deficiencies can be identified here and there.
4 — sufficient A performance that “still adequately satisfies” the requirements, but deviates from the expectations placed on it in several ways.
5 — not sufficient A performance that does not meet several of the criteria mentioned.

Q&A

Literature

Footnotes

  1. The bonus points are only taken into account when determining the module grade if it results in a better module grade and the original module grade is at least “4.0”. Participation in the bonus course is voluntary. For details, please see the general examination regulations of the HNU (APO).