A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature

Dwivedi, Yogesh K.; Rana, Nripendra P.; Tamilmani, Kuttimani; Raman, Ramakrishnan

doi:10.1016/j.copsyc.2020.03.008

Cited by 153 publications

(117 citation statements)

References 45 publications

Supporting

Mentioning

102

Contrasting

Unclassified

Order By: Relevance

“…This study therefore proposes a behavioral model that explains the acceptance of mobile payments, whereby the user can perform a transaction in an agile and secure way. To develop such a model, various theories of the adoption of new technologies have been used as a basis, such as TAM [10,59], the unified theory of acceptance and use of technology (UTAUT) [24,60], and their variants, with the addition of other concepts considered important for the study of this type of technology, such as mobile user skillfulness, personal innovation, convenience and perceived risk.…”

Section: Discussionmentioning

confidence: 99%

Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay

et al. 2020

View full text Add to dashboard Cite

Current developments in information technology and communications, as well as the significant transformations the business world is being forced to make, are generating an opportunity for widespread acceptance of mobile payments. The present research analyzes the intention to use the Apple Pay mobile payment system, as well as contextualizing and evaluating the different antecedents of its use. To carry out the research, 539 users were invited to respond to an online questionnaire, and an analysis of structural equation modeling was used. The results indicate that perceived value is the variable that most influences the intention to use the proposed payment system, followed by perception of utility and risk. This work has important implications for companies in the sector.

show abstract

Section: Discussionmentioning

confidence: 99%

Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Intention to use is a key factor in seeing the understanding of technology users [25]. Many models have been studied, researched and developed to explain the use of technology such as: theory of reasoned action model, theory of planned behavior model, technology acceptance model and unified theory of acceptance and use of technology [26].…”

Section: Unified Theory Of Acceptance and Use Of Technology (Utaut)mentioning

confidence: 99%

Attitude on intention to use e-government in Indonesia

Afrizal

Wallang

2021

IJEECS

View full text Add to dashboard Cite

The application of information and communication technologies in Indonesia continues to be developed as the government becomes more serious in improving services to its citizen. However, there are still some obstacles to using the service. The purpose of this paper to present a framework improving e-government services to its citizen. The paper opted for using a comprehensive review of the unified theory of acceptance and use of technology (UTAUT). This paper offers ideas to see intention to the community in using e-government, by using the modified UTAUT model where the main construct performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC) is an important factor. Moderators such as gender, age, experience and voluntariness of use were excluded and using attitude as a mediator. The findings showed that UTAUT’s construct such as performance expectancy, effort expectancy, social influence, facilitating conditions is an important factor appropriate for seeing intention to citizen in using e-government and 9 hypotheses offered in the model are believed to get new findings in the future and increase the development of the UTAUT model and be able to provide concept ideas that are made in seeing the intentions of e-government users.

show abstract

“…A number of models have been used to predict factors associated with the behavioral intention of m-Health [23][24][25][26][27]. Recently, UTAUT is considered as the most valid technology acceptance model used to assess behavioral intention and actual use behavior of m-Health [28][29][30][31][32]. Previous studies have shown that users' behavioral intention of information technology is the basic premise of users' use behavior [33,34].…”

Section: Introductionmentioning

confidence: 99%

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

Pan

Gao

2021

BMC Health Serv Res

View full text Add to dashboard Cite

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.

show abstract

A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature

Cited by 153 publications

References 45 publications

Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay

Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay

Attitude on intention to use e-government in Indonesia

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

Contact Info

Product

Resources

About