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Digital Facilitation of Group Work to Gain Predictable Performance

Title data

Gimpel, Henner ; Lahmer, Stefanie ; Wöhl, Moritz ; Graf-Drasch, Valerie:
Digital Facilitation of Group Work to Gain Predictable Performance.
In: Group Decision and Negotiation. (2023) .
ISSN 1572-9907
DOI: https://doi.org/10.1007/s10726-023-09856-8

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Customer Relationship Management
No information
Projektgruppe WI Digital Life
No information

Abstract in another language

Group work is a commonly used method of working, and the performance of a group can vary depending on the type and structure of the task at hand. Research suggests that groups can exhibit "collective intelligence"—the ability to perform well across tasks—under certain conditions, making group performance somewhat predictable. However, predictability of task performance becomes difficult when a task relies heavily on coordination among group members or is ill-defined. To address this issue, we propose a technical solution in the form of a chatbot providing advice to facilitate group work for more predictable performance. Specifically, we target well-defined, high-coordination tasks. Through experiments with 64 virtual groups performing various tasks and communicating via text-based chat, we found a relationship between the average intelligence of group members and their group performance in such tasks, making performance more predictable. The practical implications of this research are significant, as the assembly of consistently performing groups is an important organizational activity.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: group work; consistent group performance; group support system; performance prediction; automated facilitation
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 > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
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: 16 Nov 2023 07:03
Last Modified: 18 Dec 2023 10:42
URI: https://eref.uni-bayreuth.de/id/eprint/87780