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About degree program

Welcome to the professorship

Digitale Transformation

We teach and conduct research in the field of digitization, in particular on new, platform-based business models, agile project management, digital service innovations and the digitization of work.

Teaching Research Focuses

Latest news

Participation in the Mensch und Computer (MuC) Conference 2026

The professorship Digital Transformation will present two contributions at the Mensch und Computer (MuC) Conference 2026 in Duisburg, Germany.

Participation in the 21st International Conference on Wirtschaftsinformatik (WI 2026) in Linz

The Chair of Digital Transformation will present a study at the 21st International Conference on Wirtschaftsinformatik (WI 2026).

Participation in the 34th European Conference on Information Systems (ECIS) with award

The professorship Digital Transformation participated in the ECIS 2026 in Milan, Italy and presented three papers.

The image shows three men standing side-by-side outdoors on a green lawn on a sunny day, looking directly at the camera. All three are wearing long-sleeved button-down shirts, long trousers, and lanyards with name badges clearly displaying the text "ECIS". The man on the left wears glasses, has a slight beard, and is dressed in a light blue shirt, blue jeans, and brown shoes. The man in the middle is smiling and wears a light blue shirt, dark trousers, a brown belt, and brown shoes. The man on the right wears glasses, a white shirt, dark trousers, and black shoes. Behind the men is a circular flower bed with an outer border densely planted with bright pinkish-red flowers. Directly behind the flower bed, large white sculptural letters stand on the grass, though they are partially obscured by the people. The background is dominated by modern buildings featuring striking, undulating white slatted facades that contrast against a clear, bright blue sky. A covered pedestrian walkway is visible in the background on the left, while a dark blue directional signpost stands on the right. In the bottom left corner of the foreground, a small sign is visible showing a red circle with a slash through a dog, indicating that dogs are not permitted.

Participation in the 21. International Conference on Design Science Research in Information Systems and Technology (DESRIST) 2026 in Münster.

The professorship Digital Transformation participated in DESRIST 2026 presented its two publications.

A group photo of three people standing next to a large, orange-to-pink gradient banner in a foyer. The banner reads "DESRIST 2026" in large letters and promotes the "21st International Conference on Design Science Research in Information Systems and Technology" taking place from June 8-10, 2026, in Münster. To the left of the banner stands a woman with long, light hair, wearing a white short-sleeved top with eyelet embroidery and a dark skirt. To the right of the banner stand two men: the one on the left wears glasses, a light blue button-down shirt, jeans, and a brown belt; the one on the right is the man from the first image, wearing a dark blue sweater over a white shirt and light trousers. All three are wearing conference name badges around their necks and are smiling at the camera. In the background, glass double doors lead outside to greenery, and a table with a monitor is visible on the left edge of the image.

Publication of a Study on AI Explainability and Trust Repair in Conversational AI Systems

The professorship Digital Transformation published a new study on AI Explainability and Trust Repair in Conversational AI Systems

The image is an infographic illustrating four different trust repair strategies used by AI systems, divided into two categories: human-like and system-like approaches. In the left section, under the heading "Human-like trust repair strategies:", there are two illustrations of a small orange robot standing next to a smartphone. In the first scene, titled "Apology", the robot looks sad, places a hand on its chest in a remorseful gesture, and the chat interface on the phone screen reads: "I apologize for my mistake. You're right.". The second scene next to it is labeled "Asking questions". Here, the sad-looking robot is shrugging its shoulders, has a blue question mark hovering above its head, and the phone screen displays the message: "Could you please point out where I made an error?". In the right section, under the heading "System-like trust repair strategies:", the robot's demeanor changes, and it is depicted with a strictly neutral facial expression. The third scene, labeled "Local explanation", shows the robot pointing at the phone screen, which now displays dark panels with statistical data values such as "Jeans: +0.78", "Missing: +0.65", and "Cap: -0.13". The fourth and final scene is titled "Counterfactual options". Here, the neutral-looking robot points at the phone, which shows a user interface with three clickable buttons labeled "Option A", "Option B", and "Option C". The four distinct scenarios are visually separated from one another by vertical, dashed green lines.

Participation in the SIGMIS CPR Conference 2026 with award

The professorship Digital Transformation participated in the Computers and People Research Conference 2026 and received an award.

Lisa Schned giving a presentation

We will be at the 21st International Conference on Design Science Research in Information Systems and Technology (DESRIST) 2026

The professorship Digital Transformation will present two contributions at the DESRIST 2026 in Münster, Germany.

New master's thesis topic: From Error to Inspiration: Quantifying the Impact of AI Hallucinations on Creative Work

This thesis will use experiments to analyze in which cases AI hallucinations help or hinder creative performance.

News image for theses

Publication of a study on trust repair strategies following privacy breaches in smart home systems

The professorship Digital Transformation published a new study on privacy breaches of smart home providers.

The illustration depicts an abstract concept of networking within a smart home. On a simple white shelf attached to a light gray wall sit four different smart home devices, arranged from left to right: a glowing lightbulb, a white security camera with a black lens, a square white control module or thermostat with a digital display showing "0.0" and a small red button, and a cylindrical black smart speaker. Hovering centrally directly below the shelf is a large, red warning triangle. In the center of this triangle is a white padlock that is cracked vertically down the middle, symbolizing a security breach or vulnerability. In the lower area of the image, there are four blue cloud symbols representing cloud networks. Each cloud contains a dark, stylized house icon. A network of lines connects all these elements: solid blue lines with round nodes lead downwards from the devices on the shelf to the warning triangle. Dotted blue lines also lead from the clouds at the bottom up to this central triangle. A key detail is visible on the right side near the black smart speaker: the connection lines originating from this device feature red nodes instead of blue ones in certain spots, highlighting an acute threat, data leak, or a compromised connection specifically linked to that device. Additionally, partial views of empty white picture frames can be seen on the far left and right edges of the image.

New master's thesis topic: AI-enabled evaluation of the quality of content on information platforms

In cooperation with Tür an Tür - Digitalfabrik gGmbH, an LLM-supported prototype is to be developed.

News image for theses

Kick-off Meeting for New MERCUR Research Project on Fairness in Human-Robot Teams

The professorship Digital Transformation kicked off a new project on fairness in human-robot teams at Ruhr University Bochum.

The image shows a group of six people in a bright office standing side by side behind two identical, white, humanoid robots. The two robots in the foreground feature a rounded base that widens at the bottom, slender bodies, articulated arms, and heads with large, pink-glowing eyes, along with a landscape-oriented tablet mounted on each of their chests. Behind them, standing from left to right, are four men and two women: a man in a light blue shirt and dark jeans, a man wearing glasses in a light blue shirt and dark pants, a woman with crossed arms in a black top and wide, light grey pants, a woman in a light beige jacket and white pants, a man in a dark shirt, and a man in a grey sweater. The group is standing in front of a large window with partially closed vertical blinds and a radiator underneath. The room has white walls and a dark, slightly speckled floor, with some cables visible on the ground in the right background.

Participation in the 34th European Conference on Information Systems (ECIS 2026) in Milan, Italy

The professorship Digital Transformation presents three research papers at the ECIS 2026 in Milan this June.

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