Plausible 6G Futures: Scenarios for the Future MNO Business Environment in the 6G Era

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

The paper explores plausible scenarios for the business environment of mobile network operators (MNOs) after the eventual rollout of 6G. The 6G era is characterized by multi-dimensional uncertainty, as neither the technology nor the business landscape is yet in place. However, futures research methods and scenarios help alleviate uncertainty and provide futures knowledge about plausible developments. Using environmental scanning and expert interviews, the paper presents four scenarios for MNOs based on the assumed rate of change for the sector (transformative vs. conservative) and the market success of the incumbents (continued rise vs. fall). Underneath the scenarios is a shared base of assumptions for which the experts converged; these assumptions of changing market configurations provide a useful synopsis of current expert consensus for 6G business futures.

AlkuperäiskieliEnglanti
OtsikkoKnowledge Management in Organisations - 16th International Conference, KMO 2022, Proceedings
ToimittajatLorna Uden, I-Hsien Ting, Birgit Feldmann
KustantajaSpringer Science and Business Media Deutschland GmbH
Sivut334-346
Sivumäärä13
ISBN (painettu)9783031079191
DOI - pysyväislinkit
TilaJulkaistu - 2022
Julkaistu ulkoisestiKyllä
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
Tapahtuma16th International Conference on Knowledge Management in Organisations, KMO 2022 - Hagen, Germany
Kesto: 11 heinäk. 202214 heinäk. 2022

Julkaisusarja

NimiCommunications in Computer and Information Science
Vuosikerta1593 CCIS
ISSN (painettu)1865-0929
ISSN (elektroninen)1865-0937

Konferenssi

Konferenssi16th International Conference on Knowledge Management in Organisations, KMO 2022
Maa/AlueGermany
KaupunkiHagen
Ajanjakso11/07/2214/07/22

Rahoitus

Acknowledgements. This study has received financial support from the Strategic Research Council at the Academy of Finland [grant nos. 335980, 335989]. Professor, Dr. Jari Kaivo-oja gratefully acknowledge financial support from the Research Council of Lithuania (LMTLT) and the European Regional Development Fund implementing the project “Platforms of Big Data Foresight (PLATBIDAFO)” (project No. 01.2.2-LMT-K-718-02-0019).

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