Speech-to-text technology for global virtual teams: A SWOT analysis.

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Rosenheim Papers in Applied Economics and Business Sciences ; No. 9/2023

Classification and Topics

• Classification: Management
• Subject: Speech-to-text technology ; global virtual teams ; NLP ; SWOT analysis

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Sigl, Anna-Lena ; Fleischmann, Carolin ; Cardon, Peter W. ; Aritz, Jolanta ; Koße, Tamara
• Event: Veröffentlichung
• (who): Technische Hochschule Rosenheim
• (where): Rosenheim
• (when): 2023

Further information

• Handle: http://hdl.handle.net/10419/279577
• URN: urn:nbn:de:bvb:861-opus4-23270
• Last update: 10.03.2025, 11:42 AM CET