Good Lessons Despite Bad Feelings: How Boundary-Spanning Teams Learn from Collaboration Failure

To stay competitive, organizations set up boundary-spanning teams (BSTs) to learn from external partners. However, collaborating across boundaries is challenging and BSTs often face collaboration failure, defined as divergence from desired or expected collaboration goals. Given the costs associated with such failures, they usually evoke negative emotions which often lead to blaming the external partner and a collaboration breakdown, undermining joint learning from failure. This raises the question of how BSTs can learn from collaboration failure despite negative emotions. Our inductive study on drug discovery teams provides a silver lining: certain emotive-cognitive conditions can give rise to learning interactions that allow BSTs to either neutralize or transform their negative emotions into positive ones. Averting collaboration breakdown, these interactions allow BSTs to both create and integrate explicit knowledge after collaboration failure and change their collaboration dynamics in order to prevent failure in the future and improve their way of collaborating. Our study brings forward an emotive perspective on learning from collaboration failure and expands the literature on BSTs and emotions in groups. It further informs management practices on how to overcome negative emotions and beliefs so that BSTs sustain fruitful collaborations, enabling critical innovations such as treatments for diseases to be further developed.

Authors

Institutions

Publication Details

Journal
Organization Science
Published
2025-10-15
DOI
https://doi.org/10.1287/orsc.2022.17186
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Good Lessons Despite Bad Feelings: How Boundary-Spanning Teams Learn from Collaboration Failure

Zoe Jonassen, Georg von Krogh, Vivianna Fang He
Organization Science
Complex Systems and Decision Making
article

Good Lessons Despite Bad Feelings: How Boundary-Spanning Teams Learn from Collaboration Failure

Zoe Jonassen, Georg von Krogh, Vivianna Fang He
article en

Abstract

To stay competitive, organizations set up boundary-spanning teams (BSTs) to learn from external partners. However, collaborating across boundaries is challenging and BSTs often face collaboration failure, defined as divergence from desired or expected collaboration goals. Given the costs associated with such failures, they usually evoke negative emotions which often lead to blaming the external partner and a collaboration breakdown, undermining joint learning from failure. This raises the question of how BSTs can learn from collaboration failure despite negative emotions. Our inductive study on drug discovery teams provides a silver lining: certain emotive-cognitive conditions can give rise to learning interactions that allow BSTs to either neutralize or transform their negative emotions into positive ones. Averting collaboration breakdown, these interactions allow BSTs to both create and integrate explicit knowledge after collaboration failure and change their collaboration dynamics in order to prevent failure in the future and improve their way of collaborating. Our study brings forward an emotive perspective on learning from collaboration failure and expands the literature on BSTs and emotions in groups. It further informs management practices on how to overcome negative emotions and beliefs so that BSTs sustain fruitful collaborations, enabling critical innovations such as treatments for diseases to be further developed.

Organization ScienceVol. 37(1)
University of St.Gallen (CH), ETH Zurich (CH), University College London (GB)
Openalex Percentile: Top 66%
Complex Systems and Decision Making
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.