A
Alexander Brem
Researcher at University of Southern Denmark
Publications - 18
Citations - 620
Alexander Brem is an academic researcher from University of Southern Denmark. The author has contributed to research in topics: Automation & Critical success factor. The author has an hindex of 6, co-authored 18 publications receiving 206 citations. Previous affiliations of Alexander Brem include University of Stuttgart & University of Erlangen-Nuremberg.
Papers
More filters
Journal ArticleDOI
Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?
TL;DR: Technologies that relate directly to the treatment of the virus as well as those that have been used to adapt to living under this crisis are presented, highlighting how these technologies may prove helpful in the future.
Journal ArticleDOI
Digital twins for collaborative robots: A case study in human-robot interaction
Ali Ahmad Malik,Alexander Brem +1 more
TL;DR: In this paper, a virtual counterpart of a physical human-robot assembly system is built as a "front-runner" for validation and control throughout its design, build and operation.
Journal ArticleDOI
Social entrepreneurship orientation and company success : the mediating role of social performance.
Nazha Gali,Nazha Gali,Thomas Niemand,Eleanor Shaw,Mathew Hughes,Sascha Kraus,Alexander Brem,Alexander Brem +7 more
TL;DR: In this paper, the authors examined the impact of social entrepreneurship orientation (SEO) on the social and financial performance of a sample of Austrian firms and found that social performance compensates for the otherwise negative effect SEO has directly with financial performance.
Journal ArticleDOI
Advancing research and practice in entrepreneurship through speech analysis – From descriptive rhetorical terms to phonetically informed acoustic charisma profiles
TL;DR: In this paper, a new line of research is proposed that focuses on the speaker's tone of voice, which is meant to extend and eventually replace this descriptive terminology by an objective acoustically based and perceptually informed tone-of-voice analysis, evaluation, and learning.