Handling the efficiency–personalization trade-off in service robotics: A machine-learning approach
S Tofangchi, A Hanelt, D Marz… - Journal of Management …, 2021 - Taylor & Francis
While multiple mechanisms for value creation from big data analytics (BDA) exist, their
application in everyday life can create trade-offs, particularly in the context of service …
application in everyday life can create trade-offs, particularly in the context of service …
Data-driven competitor-aware positioning in on-demand vehicle rental networks
We study a novel operational problem that considers vehicle positioning in on-demand
rental networks, such as car sharing in the wider context of a competitive market in which …
rental networks, such as car sharing in the wider context of a competitive market in which …
Smart Sustainable Mobility: Analytics and Algorithms for Next-Generation Mobility Systems
K Schroer - 2022 - kups.ub.uni-koeln.de
To this date, mobility ecosystems around the world operate on an uncoordinated, inefficient
and unsustainable basis. Yet, many technology-enabled solutions that have the potential to …
and unsustainable basis. Yet, many technology-enabled solutions that have the potential to …
Technology Acceptance in the Context of Digital Transformation: Studies on How and Why People Use Connected Objects
D Marz - 2021 - books.google.com
The widespread diffusion of digital, connected objects such as smartphones or tablets as
well as the increasing integration of computing and connectivity capabilities into everyday …
well as the increasing integration of computing and connectivity capabilities into everyday …
To Substitute or to Supplement?-Investigating the Heterogeneous Effects of Electric Scooter Platform Introduction on Micromobility
As a healthy and pollution-free form of micromobility, bikesharing is an important sharing
economy intervention. We study whether the market entry of electric scooter platforms, a less …
economy intervention. We study whether the market entry of electric scooter platforms, a less …
Preference-aware Planning and Operations of Electric Vehicle Charging Clusters: A Data-Driven Prescriptive Framework
By 2030 up to 130M fully electric vehicles (EV) are expected to share the roads with the
traditional vehicle fleet (IEA 2020). To facilitate this growth and to drive adoption, adequate …
traditional vehicle fleet (IEA 2020). To facilitate this growth and to drive adoption, adequate …