Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/279577 
Year of Publication: 
2023
Series/Report no.: 
Rosenheim Papers in Applied Economics and Business Sciences No. 9/2023
Publisher: 
Technische Hochschule Rosenheim, Rosenheim
Abstract: 
Virtual team meetings are increasingly supported with advanced technology. This study investigates the extent to which Al-enabled speech technology can be useful for global virtual teams (GVT). A survey was conducted in GVTs in 2020 and 2021, when people's lives were primarily dominated by the pandemic. A transcription software was used to support the collaboration. A total of 530 survey responses were analyzed using a structured approach- qualitative content analysis. The data was structured using the SWOT framework that aimed at comprehensively answering the research question "To what extent is the use of Al-supported speech technology in GVTs useful?". Al-generated transcripts are helping to overcome language and time zone barriers in GVT. Yet, they also cause misunderstandings and impact openness of communication. Further results and implications for GVT are discussed.
Subjects: 
Speech-to-text technology
global virtual teams
NLP
SWOT analysis
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.