Determinants of the behavioral intention to use a mobile nursing application by nurses in China

Abstract

Background Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses’ behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses’ acceptance of a mobile nursing application. Methods A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. Results All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses’ behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses’ behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. Conclusion With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.

Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services

“…The negative but significant impact of perceived risk on the intention to use mobile health services agrees with the findings of other studies that reported that perceived risk is a significant determinant of the intention to use ( 3 , 122 , 123 ). This finding is a departure from studies that revealed perceived risk showed an insignificant impact on behavioral intention to use ( 124 ). The validated impact of perceived risk on recommendation intentions of m-health services seems to be a key finding of this study, since no study has, so far, experimented on this relationship.…”

“…The positive significant findings of mobile self-efficacy on the intention to use support findings that show that self-efficacy is a significant determinant of the intention to adopt ( 26 , 97 ). Other research has further confirmed that the level of self-efficacy demonstrated toward the utilization of technology drives the intention to use such applications ( 124 ) but contradicts results indicating that self-efficacy does not influence the intention to use ( 125 ). Again, mobile self-efficacy was found to be significant in determining both perceived usefulness and perceived ease of use of m-health services.…”

Factors affecting physicians using mobile health applications: an empirical study

“…Prior studies have explored various factors that affect the acceptance of information technologies [ 20 ]. Recently, studies focusing on mHealth have grown rapidly and the value of mHealth based on mobile technologies has gradually been recognized [ 21 , 22 ]. The use of mobile phones and the development of mHealth apps have aroused the interest of researchers in information systems [ 23 ].…”

The Antecedents of Intention to Use Telemedicine

“…In addition, it has a positive relationship with trust in forming online purchase intentions (Guru, Nenavani, Patel, & Bhatt, 2020). On the other hand, some research results indicate that the perceived risk negatively influences the intention to use technology (Lv, 2021;Pan & Gao, 2021;Akdur, Aydin, & Akdur, 2020). Perceived risk had no significant effect on behavioral intention to use mobile nursing applications (Pan & Gao, 2021).…”

“…On the other hand, some research results indicate that the perceived risk negatively influences the intention to use technology (Lv, 2021;Pan & Gao, 2021;Akdur, Aydin, & Akdur, 2020). Perceived risk had no significant effect on behavioral intention to use mobile nursing applications (Pan & Gao, 2021). Likewise, there is no significant relationship between perceived risk and behavioral intention to use the mHealth application (Akdur, Aydin, & Akdur, 2020).…”