The research of factors influencing advanced medical robot use

Chin-Liang Hung ()
Additional contact information
Chin-Liang Hung: National Taiwan University

Quality & Quantity: International Journal of Methodology, 2021, vol. 55, issue 2, No 1, 385-393

Abstract: Abstract To understand the factors influencing medical robot use, this study developed a conceptual model and hypothesized that personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT positively affect attitude toward medical robots, which in turn facilitates medical robot intention and medical robot use. By analyzing data from 276 surveys from Taiwan’s respondents who have employed medical robots, we demonstrate a positive effect of personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT on attitude toward medical robots. In addition, attitude toward medical robots has a positive effect on medical robot intention and medical robot use. The main implications of study for medical robots firms are to conduct business activities to stress perceived usefulness of IT and perceived ease of use of IT, they can use Ads to describe the functions and advantages to draw user’ attitude toward medical robots.

Keywords: Personal innovativeness in IT; Perceived usefulness of IT; Perceived ease of use of IT; Attitude toward medical robots; Medical robot intention; Medical robot use (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-020-01007-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:55:y:2021:i:2:d:10.1007_s11135-020-01007-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-020-01007-4

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().