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

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Minghao Pan ◽  
Wei Gao

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.

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony

Abstract Background Blended learning is a new approach to improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that might affect students’ intention to use blended learning. Methods In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Venkatesh et al. (2012) proposed UTAUT2 as a framework to explain a person’s behavior while using technology. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypotheses. Results The validity and reliability of the model constructs were acceptable. Performance Expectance (PE), Effort Expectance (EE), Social Influence (SI), Facilitating Conditions (FC), Hedonic Motivation (HM), Price Value (PV) and Habit (HT) had a significant effect on the students’ behavioral intention to use blended learning. Additionally, behavioral intention to use blended learning had a significant effect on the students’ actual use of blended learning (β = 0.645, P ≤ 0.01). Conclusion The study revealed that the proposed framework based on the UTAUT2 had good potential to identify the factors influencing the students’ behavioral intention to use blended learning. Universities can use the results of this study to design and implement successful blended learning courses in medical education.


2020 ◽  
Vol 84 (11) ◽  
pp. 1262-1269
Author(s):  
Jafar H. Alabdullah ◽  
Bonnie L. Van Lunen ◽  
Denise M. Claiborne ◽  
Susan J. Daniel ◽  
Cherng‐Jyh Yen ◽  
...  

10.2196/13127 ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. e13127 ◽  
Author(s):  
Di Liu ◽  
Remina Maimaitijiang ◽  
Jing Gu ◽  
Shuyi Zhong ◽  
Mengping Zhou ◽  
...  

Background Many university students are lacking adequate physical exercise and are failing to develop physical activity (PA) behaviors in China. PA app use could improve this situation. Objective The aim of this study was to use the unified theory of acceptance and use of technology (UTAUT) to investigate the intention to use PA apps among university students in Guangzhou, China, and how body mass index (BMI) moderates the effects of UTAUT in explaining PA app use intention. Methods A cross-sectional study was conducted among 1704 university students from different universities in Guangzhou, China. The UTAUT model was used to measure the determinants of intention to use PA apps. Results Of the participants, 41.8% (611/1461) intended to use PA apps. All three UTAUT-related scales (performance expectancy, effort expectancy, and social influence) were positively associated with the intention to use PA apps after adjusting for background variables (adjusted odds ratio 1.10-1.31, P<.001). The performance expectancy scale had stronger associations with the intention to use PA apps among those whose BMI were beyond normal range compared with those whose BMI were within normal range (P<.001). Conclusions UTAUT is useful for understanding university students’ intention to use PA apps. Potential moderating effects should be kept in mind when designing UTAUT-based interventions to improve PA via app use.


Author(s):  
Deus N. Shatta ◽  
John N. Layaa ◽  
France Shayo

The objective of this study was to fill the knowledge gap through analyzing the buyers’ and suppliers’ perception on legal framework influence towards e-procurement adoption model in developing countries, Tanzania in particular. This study was guided by Unified Theory of Acceptance and Use of Technology and the Technology, Organization and Environment model. The study adopted positivism philosophy and cross-sectional survey research design. The study also used non-probability (purposive) sampling and probability (stratified) sampling techniques. Sample size was 157. Questionnaires and documentary review were used for data collection. The collected data were analysed by using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the help of SmartPLS 3 software. Findings reveal that in the presence of performance expectancy, relative advantage and attitude, legal framework has an indirect influence towards e-Procurement Adoption Model. The findings and recommendations of this study are anticipated to improve the adoption of e-Procurement in developing countries, Tanzania in particular.


2016 ◽  
Vol 8 (4-2) ◽  
Author(s):  
Jibril Sahban Ibrahim ◽  
Che Azlan Taib ◽  
Arfan Shahzad

The government around the world is now using the electronic government as the modern way of providing service for their citizen. Hence, a number of studies have been investigated and explored the importance of information technology to transform delivery service by the government to their citizen, However, e-government implementation in Nigeria still lacking due to some reasons, such as inadequate of infrastructure and the participation of the citizen to use the e-government service. This is call for change and further study is needed to investigate the behavioral intention of a citizen to use e-government service in Nigeria. Furthermore, the Unified Theory of acceptance and Use of Technology (UTAUT) model is used in this paper as its best model to explore the behavioral intention and usage, and it is combined with eight theories and models of technology adoption or acceptance toward a unified view. Thus the current paper is conceptualized that citizens' behavioral intention to use e-government is expected to be influenced by the citizen. This paper contributes in two folds; practically and theoretically. Citizen is the main role of using e-government service, thus require attention. The social influence, facilitating condition, performance expectancy and Effort expectancy are expected to influence the behavioral intention to use the e-government service. Therefore, the findings will help the government to formulate policies that consider the citizen's intention to use e-government service. The conceptual paper compares only on the fundamental concepts and findings, thus calls for an empirical validation of the proposed framework.


2020 ◽  
Vol 6 ◽  
pp. 237796082092202
Author(s):  
Zhou Lulin ◽  
Joseph Owusu-Marfo ◽  
Henry Asante Antwi ◽  
Xinglong Xu

Background Medical care facilities in both developed and developing countries around the world continue to invest in hospital information technologies (HITs). Nevertheless, it has been discovered that user acceptance of these technologies is one of the imperative issues during their implementation and management in developing countries such as Ghana. Purpose Notably, the technology acceptance assessment of nurses is a timely one since they play a very important role in the medical sector. Based on the model of “Unified Theory of Acceptance and Use of Technology,” this study explored the factors that affect Ghanaian nurses’ acceptance of HIT. Design/Method/Approach: A descriptive nonexperimental research design was employed in this study to recruit 660 nurses (404 females and 256 males) from 3 teaching and 2 regional hospitals in Ghana. A standardized electronic platform questionnaire (based on the Unified Theory of Acceptance and Use of Technology model) was designed on smartphones and was self-administered, while the data collected were analyzed via the SmartPLS Structural Equation Modeling path analysis. The “Social Influence” ( t  = 3.656, p < .001), “Attitude towards the Use of Technology” ( t = 5.861, p < .001), and “Facilitating Conditions” ( t = 2.616, p < .001) were the main predictors of the nurses’ behavioral intention to use HIT. The effects of the aforementioned constructs explained 60.7% ( R2 = 0.607) of the variance in the nurses’ intentions to use the HIT systems. Conclusions Precisely, HIT systems are essential in the quality and the enhancement of nursing services provision and in the effectiveness of the performance of nursing staff. This study, therefore, offers a piece of empirical evidence for hospital administrators in developing countries especially Ghana, to assess the success probability of new HITs before and after their implementation.


2020 ◽  
Author(s):  
Seyyed Mohsen Azizi ◽  
Nasrin Roozbahani ◽  
Alireza Khatony

Abstract Background: Blended learning is a new approach toward improving the quality of medical education. Acceptance of blended learning plays an important role in its effective implementation. Therefore, the purpose of this study was to investigate and determine the factors that may influence the behavioral intention to use of blended learning in medical education.Methods: In this cross-sectional, correlational study, the sample consisted of 225 Iranian medical sciences students. The theoretical framework for designing the conceptual model was UTAUT2. Data were analyzed using SPSS-18 and AMOS-23 software. Structural equation modeling technique was used to test the hypothesis.Results: The validity and reliability of the model constructs were acceptable. Performance expectance, effort expectance, social influence, facilitating conditions, hedonic motivation, price value and habit had a significant effect on students’ behavioral intention to use of blended learning. Additionally, Behavioral intention to use of blended learning also had a significant effect on students’ actual usage of blended learning (β=0.645, P≤0.01).Conclusion: The study revealed that the proposed framework based on UTAUT2 has good potential to identify factors influencing students' behavioral intention to using of blended learning. Universities can use the results of this study to design and implementation successful blended learning courses in medical education.


2019 ◽  
Vol 1 (4) ◽  
pp. 1949-1967
Author(s):  
Mutiara Indah ◽  
Henri Agustin

This study aims to find evidence that the model UTAUT (Unified Theory of Acceptance and Use of Technology) is a conceptual framework to explain the acceptance and use of Go-Pay as one of the mobile payment services in the city of Padang. The data used in this research is primary data obtained by distributing a questionnaire online. This study using purposive sampling with a sample of 150 respondents who have used Go-Pay.Analysis of the data used in this research is Structural Equation Modeling (SEM). Data analysis techniques using SmartPLS ver.3.2.8 processed. This study found evidence that performance expectancy, social influence and positive effect on behavioral intention; facilitating condition and behavioral intention to use behavior has a positive effect, while the effort expectancy negatively affect behavior intention.


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