Digitally supported coaching and its application to developing self-organizing teams

Abstract Digital communication has become mainstream in professional as well as in educational collaboration. While it reduces the richness of non-verbal interaction, it also opened up novel, accessible, and low-cost opportunities for professional as well as personal development. This paper presents the findings of applying the framework called digitally supported coaching (DSC) to a self-organized team that partly collaborates via online video conferences. The DSC features a software tool that analyzes and visualizes communication data of several meetings and a team coaching process to use these visualizations for team development. This allows teams to discern helpful and less helpful patterns in their communication and to learn from that. While DSC has already been evaluated in multiple case studies in different contexts, this study explores the use of DSC for a self-organized team for the first time. Applying a mixed method approach, the team communication was analyzed from the subjective perspectives of the team members as well as based on the quantitative data of the meetings and the social network analysis (SNA) derived from it. Compared to hierarchical teams, the results show a much higher variety in team centralities and significant differences in the way meetings were led. Learnings by the team in this case included insights regarding their roleplay, the way they moderated meetings, and their development towards more constructive communication over time. The case indicates the potentials of DCS for self-organized teams particularly regarding their flexibility in taking on roles, tasks, and reflective practice.

Authors

Institutions

Publication Details

Journal
Human-Intelligent Systems Integration
Published
2024-11-08
DOI
https://doi.org/10.1007/s42454-024-00056-6
Primary Topic
Coaching Methods and Impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digitally supported coaching and its application to developing self-organizing teams

Renate Motschnig, Thomas Spielhofer
Human-Intelligent Systems Integration
Coaching Methods and Impact
article

Digitally supported coaching and its application to developing self-organizing teams

Renate Motschnig, Thomas Spielhofer
article en

Abstract

Abstract Digital communication has become mainstream in professional as well as in educational collaboration. While it reduces the richness of non-verbal interaction, it also opened up novel, accessible, and low-cost opportunities for professional as well as personal development. This paper presents the findings of applying the framework called digitally supported coaching (DSC) to a self-organized team that partly collaborates via online video conferences. The DSC features a software tool that analyzes and visualizes communication data of several meetings and a team coaching process to use these visualizations for team development. This allows teams to discern helpful and less helpful patterns in their communication and to learn from that. While DSC has already been evaluated in multiple case studies in different contexts, this study explores the use of DSC for a self-organized team for the first time. Applying a mixed method approach, the team communication was analyzed from the subjective perspectives of the team members as well as based on the quantitative data of the meetings and the social network analysis (SNA) derived from it. Compared to hierarchical teams, the results show a much higher variety in team centralities and significant differences in the way meetings were led. Learnings by the team in this case included insights regarding their roleplay, the way they moderated meetings, and their development towards more constructive communication over time. The case indicates the potentials of DCS for self-organized teams particularly regarding their flexibility in taking on roles, tasks, and reflective practice.

Human-Intelligent Systems IntegrationVol. 6(1)
University of Vienna (AT)
Universität Wien
Openalex Percentile: Top 77%
Coaching Methods and Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.