scispace - formally typeset
C

Christian Matt

Researcher at University of Bern

Publications -  87
Citations -  3867

Christian Matt is an academic researcher from University of Bern. The author has contributed to research in topics: Digital transformation & Computer science. The author has an hindex of 16, co-authored 78 publications receiving 2573 citations. Previous affiliations of Christian Matt include Ludwig Maximilian University of Munich.

Papers
More filters
Journal ArticleDOI

A value-sensitive design approach to minimize value tensions in software-based risk-assessment instruments

TL;DR: Pupils should focus on four design guidelines to avoid SBRAI value tensions: constant and accessible information, transparency, isolated use anticipation, and compliance with novice and expert users’ requirements.
Posted Content

Digital Transformation Strategies

TL;DR: In this article, the authors propose a digital transformation strategy that serves as a central concept to integrate the entire coordination, prioritization, and implementation of digital transformations within a firm, which can be used to coordinate and prioritize the many independent threads of digital transformation.
Journal ArticleDOI

Daten als Geschäft – Rollen und Wertschöpfungsstrukturen im deutschen Markt für persönliche Daten

TL;DR: Der vorliegende Artikel beleuchtet die Wertschopfung in diesen Markten aus einer strukturellen Perspektive.
Book ChapterDOI

Perspektiven der Privatheitsforschung in den Wirtschaftswissenschaften

TL;DR: In this paper, a literaturuberblick zur Privatheitsforschung in the Wirtschaftswissenschaften (WiWi) is presented.
Journal ArticleDOI

How Synchronous Participation Affects the Willingness to Subscribe to Social Live Streaming Services: The Role of Co-Interactive Behavior on Twitch

TL;DR: In this article , the authors empirically show that co-interactive behavior has a stronger effect on users' willingness to subscribe (WTS) than passive and active behavior, and they suggest a social-experiential perspective that integrates social influences as an inherent part of users' participation experiences.