Stefan Strunck
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Stefan Strunck has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Alexandra Hunck
Fraunhofer Institute for Industrial Engineering (IAO), Stuttgart, Germany
1 shared publication - Christophe Kunze
Care & Technology Lab, Furtwangen University, Furtwangen, Germany
1 shared publication - Frank Teuteberg
Universität Osnabrück
1 shared publication - Madeleine Renyi
Furtwangen University
1 shared publication - Petra Gaugisch
Fraunhofer-Institut für Arbeitswirtschaft und Organisation
1 shared publication
Latest Publications
- Open Access
- 8 June 2022
- Published by Springer Nature in Computer Supported Cooperative Work (CSCW)
- Vol. 31 (3) , 517-554
Uncovering the Complexity of Care Networks – Towards a Taxonomy of Collaboration Complexity in Homecare
In homecare, networks are formed by professional, semiprofessional, and informal actors, who collaborate to care for people in need. Modern information and communication technology (ICT) might play an important role to enhance cooperation in homecare networks. Through infrastructuring work, the authors seek to build a comprehensive understanding of the types of collaboration complexity in homecare networks to determine if, when and which technologies are most suitable. This paper examines how homecare networks can be classified according to collaboration complexity. A four-stage research design was followed to develop a taxonomy for homecare collaboration. The taxonomy was applied to 21 care networks, and five types of homecare networks were identified. The taxonomy considers network, tasks, and communication particularities across 13 dimensions, each of which includes three characteristics. Three clusters were identified as more likely than the others to benefit from increased technology use. The taxonomy and archetypes highlight which homecare network types could benefit from increased technology use. Additionally, the taxonomy allows for an iterative re-evaluation of networks to initiate measures for improvement.
- 8 June 2022
- Published by Springer Nature in Computer Supported Cooperative Work (CSCW)
- Vol. 31 (3) , 517-554
Open AccessUncovering the Complexity of Care Networks – Towards a Taxonomy of Collaboration Complexity in Homecare
In homecare, networks are formed by professional, semiprofessional, and informal actors, who collaborate to care for people in need. Modern information and communication technology (ICT) might play an important role to enhance cooperation in homecare networks. Through infrastructuring work, the authors seek to build a comprehensive understanding of the types of collaboration complexity in homecare networks to determine if, when and which technologies are most suitable. This paper examines how homecare networks can be classified according to collaboration complexity. A four-stage research design was followed to develop a taxonomy for homecare collaboration. The taxonomy was applied to 21 care networks, and five types of homecare networks were identified. The taxonomy considers network, tasks, and communication particularities across 13 dimensions, each of which includes three characteristics. Three clusters were identified as more likely than the others to benefit from increased technology use. The taxonomy and archetypes highlight which homecare network types could benefit from increased technology use. Additionally, the taxonomy allows for an iterative re-evaluation of networks to initiate measures for improvement.