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Emergent User Roles of a Digital Workplace : A Network Analysis Based on Trace Data

Title data

Frank, Leonhard ; Gimpel, Henner ; Schmidt, Marco ; Schoch, Manfred:
Emergent User Roles of a Digital Workplace : A Network Analysis Based on Trace Data.
In: Proceedings of the 38th International Conference on Information Systems (ICIS). - Seoul, South Korea , 2017
ISBN 978-1-5108-5369-0

Official URL: Volltext

Abstract in another language

Communication and collaboration software for knowledge workers are introduced with high expectations, especially in knowledge-intense industries. While advantages of such
tools are well documented in theory, many initiatives have yet to achieve the desired outcomes in practice. Research has dealt with roles in the digital workplace and found that one-size-fits-all solutions are not suitable. However, for a lack of real-world data the
matter is still not sufficiently understood. To close this gap, we conduct a sequential mixed method study. We perform an exploratory analysis based on trace data within a service
organization and reconstruct its social structure. Through a cluster analysis, eight distinct emergent user roles are identified. Additionally, we analyze covariates of cluster membership, such as organizational hierarchy, through statistical testing. Lastly, semistructured
interviews help to explain our findings qualitatively. We contribute to research and practice by deepening the understanding of heterogeneous user behavior in a digital workplace.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: digital workplace; social software; digital trace data; social structure; social network analysis; emergent user roles; communication channel; collaboration platform
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 22 Dec 2017 06:45
Last Modified: 08 Jun 2022 09:29