Åpne denne publikasjonen i ny fane eller vindu >>2023 (engelsk)Inngår i: Proceedings of the Annual Hawaii International Conference on System Sciences: HICSS 2023 Virtual, Online 3 January 2023 / [ed] Bui T.X., IEEE Computer Society, 2023, s. 3962-3963, artikkel-id 187535Konferansepaper, Oral presentation with published abstract (Annet vitenskapelig)
Abstract [en]
Introduction
The hospitality industry has undergone a remarkable digital transformation over the last decade, which has affected how the industry delivers its services, organizes and leads work processes. Also, a few large international actors, such as TripAdvisor, have become increasingly dominant in hotel bookings while platforms like Airbnb have created new business models, which have caused disruption in the industry. As a result, information systems, business models, and business processes are continually analyzed, rethought, and changed. Furthermore, the hospitality industry is one of the industries most affected by the COVID19 pandemic, with numerous restrictions on businesses resulting in far reaching impacts, such as temporarily closed hotels, mass unemployment, and fast-changing mandates from governments that need to be implemented and managed. Put together, digital transformation and the challenges of Covid19 are reshaping conditions for the hospitality and tourism industry. It is therefore essential for both researchers and practitioners to develop practical and conceptual knowledge in order to understand the digital transformation caused by digital disruptions in the hospitality and tourism industry.
sted, utgiver, år, opplag, sider
IEEE Computer Society, 2023
Emneord
Hospitality, Tourism, Digital Economy
HSV kategori
Forskningsprogram
Arbetsintegrerat lärande
Identifikatorer
urn:nbn:se:hv:diva-19889 (URN)2-s2.0-85152137880 (Scopus ID)978-0-9981331-5-7 (ISBN)978-0-9981331-6-4 (ISBN)
Konferanse
55th Annual Hawaii International Conference on System Sciences, HICSS 2022
Merknad
CC BY-NC-ND 4.0
2023-06-272023-06-272025-01-15bibliografisk kontrollert