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Darina Vorobeva

Biographic Data

ID9699591
NAMEDarina Vorobeva
GIVEN NAMESDarina
FAMILY NAMEVorobeva
SIGNATUREVOROBEVA D
AFFILIATIONSNOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Nova de Lisboa, Portugal
ORCID0000-0001-9708-4367
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The augmentation effect of artificial intelligence

    Darina Vorobeva, Diego Costa Pinto et al.•ARTICLE•Current Issues in Tourism•2024

    Although Artificial Intelligence is a big revolution in the tourism and hospitality industry, prior research provides little insight into how customers respond to AI replacement and how providers can mitigate AI aversion. Drawing on the Feeling Economy framework, three studies examine how customers react to a different framing of AI replacement (augmentation vs. substitution) compared to using only human employees, affecting their acceptance of A…

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  • The augmentation effect of artificial intelligence

    Darina Vorobeva, Diego Costa Pinto et al.•ARTICLE•Current Issues in Tourism•2024

    Although Artificial Intelligence is a big revolution in the tourism and hospitality industry, prior research provides little insight into how customers respond to AI replacement and how providers can mitigate AI aversion. Drawing on the Feeling Economy framework, three studies examine how customers react to a different framing of AI replacement (augmentation vs. substitution) compared to using only human employees, affecting their acceptance of A…

AI in Service Interactions (1 work) · Business (1 work) · Digital Marketing and Social Media (1 work) · Engineering (1 work) · Feeling (1 work) · Hospitality (1 work) · Hospitality industry (1 work) · Marketing (1 work) · Organizational and Employee Performance (1 work) · Political science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae