TY - GEN
T1 - Building on disagreement visually
T2 - the system and the method
AU - Alexander, Elitsa
AU - Eppler, Martin J.
AU - Comi, Alice
N1 - Note: Published in proceedings: AIS eLibrary ECIS 2018 Proceedings Collections: Research papers ISBN 9781861376671
Organising Body: Systems and Information Systems Research Group in the School of Computing, University of Portsmouth
Organising Body: Systems and Information Systems Research Group in the School of Computing, University of Portsmouth
PY - 2018/6/23
Y1 - 2018/6/23
N2 - In this paper we introduce an information system and a research method that use disagreement in order to provide value adding insights relevant for research and work practice. The system includes an innovative electronic survey platform which reports and visualizes disagreement in survey results. Based on an index of disagreement algorithm, survey results are automatically aggregated into visualizations. Survey questions are displayed in descending order, with the questions that have received the most discrepant answers being placed on top. The researcher shows the visualizations to the survey participants in follow-up group conversations (dissent conversations) and uses the visualizations as focal points to guide the conversations. The visual display of disagreement spurs an exchange of interpretations and insights. Based on a study with 57 managers, we show that applying our system and method enables researchers and research participants to jointly produce interpretations that enrich survey results and revise correlational models. The system and the method introduced in this paper contribute toward improving collaborative thinking in groups by unpacking the reasons for disagreement, revealing unpopular truths and individual motivations and perceptions, and leveraging on cognitive diversity in knowledge creation.
AB - In this paper we introduce an information system and a research method that use disagreement in order to provide value adding insights relevant for research and work practice. The system includes an innovative electronic survey platform which reports and visualizes disagreement in survey results. Based on an index of disagreement algorithm, survey results are automatically aggregated into visualizations. Survey questions are displayed in descending order, with the questions that have received the most discrepant answers being placed on top. The researcher shows the visualizations to the survey participants in follow-up group conversations (dissent conversations) and uses the visualizations as focal points to guide the conversations. The visual display of disagreement spurs an exchange of interpretations and insights. Based on a study with 57 managers, we show that applying our system and method enables researchers and research participants to jointly produce interpretations that enrich survey results and revise correlational models. The system and the method introduced in this paper contribute toward improving collaborative thinking in groups by unpacking the reasons for disagreement, revealing unpopular truths and individual motivations and perceptions, and leveraging on cognitive diversity in knowledge creation.
KW - Business and management studies
M3 - Conference contribution
SN - 9781861376671
BT - Published in proceedings: AIS eLibrary ECIS 2018 Proceedings Collections: Research papers ISBN 9781861376671
Organising Body: Systems and Information Systems Research Group in the School of Computing, University of Portsmouth
Organising Body: Systems and Information Systems Research Group in the School of Computing, University of Portsmouth
ER -