Investigating Employee Acceptance of Automated Technologies in Healthcare: A Case Study on Automated Bed Washing Systems

TY - GEN

T1 - Investigating Employee Acceptance of Automated Technologies in Healthcare

T2 - 26th International Conference on Human-Computer Interaction, HCII 2024

AU - Niemann Frandsen, Lukas

AU - Lundvang, Hans Henrik

AU - Hidegföldi, Máté

AU - Karpavičė, Justina

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - The transition from manual to automated processes has become a central challenge that hinders the successful adoption of technologies, resulting in heightened resistance and anxiety among employees regarding technological changes. Therefore, this research aims to investigate individuals’ perceptions of automated technologies and identify variables impacting technology adoption. The research is based on a cross-sectional case study that examined the employees’ acceptance of the automated bed washer at three regional hospitals within the Midtjylland region in Denmark. This study extends the TAM by incorporating facilitating conditions, self-efficacy, social influence, anxiety, and trust. A mixed-method approach was applied for data collection, including insights from observations and results from interviews, complemented with a TAM-based questionnaire. Drawing from the results, facilitating conditions, self-efficacy and trust were identified as the key determinants impacting PU and PEOU.

AB - The transition from manual to automated processes has become a central challenge that hinders the successful adoption of technologies, resulting in heightened resistance and anxiety among employees regarding technological changes. Therefore, this research aims to investigate individuals’ perceptions of automated technologies and identify variables impacting technology adoption. The research is based on a cross-sectional case study that examined the employees’ acceptance of the automated bed washer at three regional hospitals within the Midtjylland region in Denmark. This study extends the TAM by incorporating facilitating conditions, self-efficacy, social influence, anxiety, and trust. A mixed-method approach was applied for data collection, including insights from observations and results from interviews, complemented with a TAM-based questionnaire. Drawing from the results, facilitating conditions, self-efficacy and trust were identified as the key determinants impacting PU and PEOU.

KW - Automated Technologies

KW - Employees Acceptance

KW - Healthcare

KW - Technology Acceptance Model

UR - http://www.scopus.com/inward/record.url?scp=85195602677&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-61966-3_35

DO - 10.1007/978-3-031-61966-3_35

M3 - Article in proceedings

AN - SCOPUS:85195602677

SN - 9783031619656

T3 - Communications in Computer and Information Science

SP - 321

EP - 333

BT - HCI International 2024 Posters. HCII 2024

A2 - Stephanidis, Constantine

A2 - Antona, Margherita

A2 - Ntoa, Stavroula

A2 - Salvendy, Gavriel

PB - Springer

CY - Cham

Y2 - 29 June 2024 through 4 July 2024

ER -