The article documents the results of a collaborative study by scientific project partners and a bank (Kreissparkasse Cologne).
In field trials the structure of the bank employees’ informal communication networks was collected through Social Badges and e-mail archives.
Furthermore, mapping personal communication networks has been difficult and error-prone in the past, as findings have typically had to be reconstructed from third party or self-observation collected by means of interviews with the subjects of the study ().
This is the starting point for this authorswill present the results of a research project that is currently in progress and whose aim it is to mitigate the deficits of existing approaches.
The article presents a prototype of an IT-supported instrument (“Social Badges”) that supports automatic collection of informal, personal interaction between (knowledge) workers within an enterprise.
The authors’ aim is to introduce a novel approach which improves data quality over legacy methods.
Despite the importance of knowledge-intensive work, little is known about how to improve it compared to manual work processes.
This is because the work performed by knowledge workers is complex and hard to measure ().
To this end, 22 bank employees wore Social Badges during working hours for the duration of one month.
Additionally, the e-mail archives of seven Kreissparkasse branches (approx.