TY - RPRT A1 - Sigl, Anna-Lena A1 - Fleischmann, Carolin A1 - Cardon, Peter A1 - Aritz, Jolanta A1 - Koße, Tamara T1 - Speech-to-text technology for global virtual teams: A SWOT analysis N2 - 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. T3 - Rosenheim Papers in Applied Economics and Business Sciences - 9 KW - Speech-to-text technology KW - global virtual teams KW - NLP KW - SWOT analysis Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:861-opus4-23270 ER -