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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: Generation Y health care professionals and their acceptance of chatbots
Autor/-in: Zwicky, Anja
Stallone, Valerio
Haarmann, Jens
et. al: No
DOI: 10.1007/978-3-031-45642-8_23
10.21256/zhaw-30059
Tagungsband: Information Systems and Technologies : WorldCIST 2023
Herausgeber/-in des übergeordneten Werkes: Rocha, A.
Adeli, H.
Dzemyda, G.
Moreira, F.
Colla, V.
Seite(n): 232
Seiten bis: 241
Angaben zur Konferenz: 11th World Conference on Information Systems and Technologies (WorldCIST), Pisa, Italy, 4-6 April 2023
Erscheinungsdatum: 6-Apr-2023
Reihe: Lecture Notes in Networks and Systems
Reihenzählung: 799
Verlag / Hrsg. Institution: Springer
Verlag / Hrsg. Institution: Cham
ISBN: 978-3-031-45641-1
978-3-031-45642-8
Sprache: Englisch
Schlagwörter: Health care; Health care professionals; Telemedicine; Chatbot; Conversational agent; Technology acceptance model; Digitalisierung; Gesundheitswesen
Fachgebiet (DDC): 006: Spezielle Computerverfahren
610: Medizin und Gesundheit
Zusammenfassung: Medical chatbots are already used regularly by patients and health care professionals (HCPs). By the end of 2020, the majority of practicing HCPs were born between 1980 to 1994. In other words, most HCPs currently belong to Generation Y, who are generally assumed to be more open towards new digital technologies. The aim of this study was to evaluate HCP acceptance and influencing factors on the latter of a chatbot-based information platform as a proxy for information that HCPs usually provide to patients. This research of 99 HCP showed that system relevance and the innovative elements of the chatbot itself were essential factors in perceiving the chatbot as useful. The innovative elements also had a positive effect on perceived ease of use. Our study provides insights into user acceptance of chatbots supporting the work of HCPs and is a starting point for further discussions and generational change in the labor market for HCPs.
URI: https://digitalcollection.zhaw.ch/handle/11475/30059
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Gesperrt bis: 2025-02-16
Departement: School of Management and Law
Organisationseinheit: Institut für Marketing Management (IMM)
Enthalten in den Sammlungen:Publikationen School of Management and Law

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Zwicky, A., Stallone, V., & Haarmann, J. (2023). Generation Y health care professionals and their acceptance of chatbots [Conference paper]. In A. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & V. Colla (Eds.), Information Systems and Technologies : WorldCIST 2023 (pp. 232–241). Springer. https://doi.org/10.1007/978-3-031-45642-8_23
Zwicky, A., Stallone, V. and Haarmann, J. (2023) ‘Generation Y health care professionals and their acceptance of chatbots’, in A. Rocha et al. (eds) Information Systems and Technologies : WorldCIST 2023. Cham: Springer, pp. 232–241. Available at: https://doi.org/10.1007/978-3-031-45642-8_23.
A. Zwicky, V. Stallone, and J. Haarmann, “Generation Y health care professionals and their acceptance of chatbots,” in Information Systems and Technologies : WorldCIST 2023, Apr. 2023, pp. 232–241. doi: 10.1007/978-3-031-45642-8_23.
ZWICKY, Anja, Valerio STALLONE und Jens HAARMANN, 2023. Generation Y health care professionals and their acceptance of chatbots. In: A. ROCHA, H. ADELI, G. DZEMYDA, F. MOREIRA und V. COLLA (Hrsg.), Information Systems and Technologies : WorldCIST 2023. Conference paper. Cham: Springer. 6 April 2023. S. 232–241. ISBN 978-3-031-45641-1
Zwicky, Anja, Valerio Stallone, and Jens Haarmann. 2023. “Generation Y Health Care Professionals and Their Acceptance of Chatbots.” Conference paper. In Information Systems and Technologies : WorldCIST 2023, edited by A. Rocha, H. Adeli, G. Dzemyda, F. Moreira, and V. Colla, 232–41. Cham: Springer. https://doi.org/10.1007/978-3-031-45642-8_23.
Zwicky, Anja, et al. “Generation Y Health Care Professionals and Their Acceptance of Chatbots.” Information Systems and Technologies : WorldCIST 2023, edited by A. Rocha et al., Springer, 2023, pp. 232–41, https://doi.org/10.1007/978-3-031-45642-8_23.


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