This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health ...(mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the study comprised healthcare professionals (registered doctors and nurses) working in the participating hospitals. The findings of the seven-factor measurement model showed that behavioral intention (BI) to mHealth adoption is significantly influenced by performance expectancy (β = 0.504, CR = 5.064,
< 0.05) and self-concept (β = 0.860, CR = 5.968,
< 0.05) about mHealth technologies. The findings of the structural equation model (SEM) showed that the model is acceptable (χ
(df = 259) = 3.207;
= 0.000; CFI = 0.891, IFI = 0.892, TLI = 0.874, RMSEA = 0.084). This study suggests that the adoption of mHealth can significantly help in improving people's access to quality healthcare resources and services as well as help in reducing costs and improving healthcare services. This study is significant in terms of identifying the predictors that play a determining role in the adoption of mHealth among healthcare professionals. This study presents an evidence-based model that provides an insight to policymakers, health organizations, governments, and political leaders in terms of facilitating, promoting, and implementing mHealth adoption plans in low-resource settings, which can significantly reduce health disparities and have a direct impact on health promotion.
Purpose
The purpose of this study is to empirically examine the factors influencing consumer behavioral intention (BI) to use cryptocurrency as a medium of transaction. Constructs from the unified ...theory of acceptance and use of technology model and an added variable, perceived risk (PR), are examined to predict BI. Age and gender as moderators are retained in this model.
Design/methodology/approach
An online survey was used to gather the respondents’ responses on a five-point Likert scale. G * Power was used to calculate the required minimum sample size. A non-probability sampling technique was used to gather data from the 290 respondents based in Malaysia. The final data set was analyzed using the statistical package for the social sciences and SmartPLS software using structural equation modeling.
Findings
The results show that three of the five proposed factors (performance expectancy, effort expectancy and facilitating condition) are significant predictors of BI to adopt cryptocurrency as a medium of transaction. Interestingly, PR is not a significant predictor even though prior research studies showed otherwise. Likewise, the relationship between BI and social influence became significant only when age is added as a moderator.
Practical implications
Malaysians are still wary of cryptocurrency, even though global tech firms such as Amazon and Microsoft are already accepting Bitcoin as a payment method. This study aims to provide relevant authorities and businesses (i.e. central bank, retail merchants and cryptocurrency exchangers) insights toward understanding the factors consumers focus on if they were to use cryptocurrency as a medium of transaction.
Originality/value
Most cryptocurrency research are done in developed countries (i.e. USA, UK and EU) perspective. This research addresses the lack of quantitative literature on significant factors influencing BI to use cryptocurrency in developing country context while taking a PR, age and gender into consideration.
PurposeAcceptance and use of mobile shopping as the preferred shopping medium is becoming the new normal today. The proliferation of mobile shopping practices follows unsteady growth patterns in ...different countries. Despite challenges of price, quality and privacy matters, young consumers still lead the race to engage in mobile shopping activity in developing countries. This research investigates the determinants that either support or hinder the mobile shopping intentions of aspirant young consumers in Pakistan.Design/methodology/approachThe present research applies a consumer-centric approach to the technology adoption framework to unearth the behavioral patterns of these young consumers in Pakistan. Employing the structural equation modeling technique, this research examines the significant effect of structural assurance, perceived risk, trust and various unified theory of acceptance and use of technology (UTAUT) model constructs on behavioral intention to engage in mobile shopping.FindingsThis research examines the significant effect of structural assurance, perceived risk, trust and various UTAUT model constructs on behavioral intention to engage in mobile shopping. Results also demonstrate a significant moderating effect of structural assurance and prior shopping experience on the relationship between perceived risk, trust and mobile shopping intentions. Further, the mobile shopping patterns for the male and female segment indicate a significant difference for perceived risk, trust structural assurance and social influence. The research contributes to the growing body of knowledge which advocates the application of consumer-centric customized model approach to explore various factors that either facilitate or impede the adoption of mobile shopping in a developing economy.Research limitations/implicationsThe study validates the need to enforce structural assurance mechanism for facilitating mobile shopping in a developing country. It also offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.Practical implicationsThe study offers practical implications for online businesses and marketers striving to attract and retain more mobile customers.Originality/valueThis study offers fresh insights about driving elements and impediments of mobile shopping behavioral intentions. Structural assurance and prior shopping experience appear to influence the mobile shopping behavior through direct and indirect effect.
Purpose − This research aims to identify influencing factors on BSI mobile banking adoption intention by integrating the UTAUT and DeLone & McLean models and the role of religiosity ...variables.Methodology − This research used primary data from 150 Bank Syariah Indonesia customers who used mobile banking. The analysis method applied SEM PLS to assess the relation among exogenous and endogenous variables using SmartPLS software.Findings − The findings show that from the factors identified, Service Quality, Information Quality, Performance Expectancy, Effort Expectancy, Social Influence, and Religiosity are critical variables in BSI mobile banking adoption intention. Because these six factors significantly impact the intention of BSI Mobile Banking adoption.Implications − Our work helps stakeholders strategize and policy to offer more innovative and flexible production technologies. So, the bank must pay more attention to things that support the increasing performance of mobile banking to increase customer intentions in adopting BSI mobile banking.Originality − This research provides a theoretical contribution in integrating the UTAUT and DeLone & McLean models, including the role of religiosity variables in assessing the adoption intention factors of BSI mobile banking in Indonesian society.
The study explored student readiness for online learning in the Northeast of Thailand, using the Unified Theory of Acceptance and Use of Technology (UTAUT). The survey also explored students’ ...self-regulation, computing devices ownership, and level of familiarity with education-related technologies. The responses imply that students have a slightly positive perception toward e-learning. They use mobile technologies extensively, and have experience using social media; but are unfamiliar with other collaborative e-learning tools. A discussion includes recommendations for cultural context and the design of e-learning in Thailand.
Over-the-Top (OTT) streaming platforms are transforming the industry’s broadcasting market and structure. The streaming media revolution is based on constant innovation, both in terms of experiences ...and products. Streaming media is emerging strongly with various choices, time shifts, place shifts and navigation. The article describes the adoption of OTT using the unified theory of acceptance and use of technology (UTAUT) model, which explains the impact of emerging technology on the audience. The study, which employed structural equation modelling, analysed the data of 458 respondents, using the partial least-square structural equation model software. The findings showed that the model reasonably explained the respondents’ acceptance of OTT. More specifically, the attitude towards technology is determined by performance expectancy and effort expectancy while the attitude towards technology, facilitating conditions and social influence positively affect the intention to adopt OTT. The implications of the study discuss the methods to increase acceptance and adoption of OTT.
This study uses a modified UTAUT model to examine behavioral factors influencing mobile banking services’ (MBS) adoption in China. Despite the abundance of smart mobile phones, the uptake of mobile ...banking among the population remains low. To address this issue, this study integrates four variables—perceived financial cost, awareness, technology infrastructure support, and government regulations—into the UTAUT framework to explore their impact on driving the adoption of MBS. Based on convenient sampling techniques, it uses 567 valid responses collected through a self-administered questionnaire and applies multiple regression analysis methods for data analysis using SPSS-26 software. Results indicate that performance expectancy, effort expectancy, perceived financial cost, and awareness are significant drivers of behavioral intention to use MBS in China. Technological infrastructure support positively influences performance expectancy, and individuals’ intent to use and adopt MBS in China. Government support significantly drives the individual’s behavioral intention to use and adopt MBS. Furthermore, behavioral intention to use MBS significantly predicts its adoption in China. The practical and academic ramifications of MBS on the growth and development of sustainable mobile banking systems are presented.
Purpose − This research aims to identify influencing factors on BSI mobile banking adoption intention by integrating the UTAUT and DeLone & McLean models and the role of religiosity variables. ...Methodology − This research used primary data from 150 Bank Syariah Indonesia customers who used mobile banking. The analysis method applied SEM PLS to assess the relation among exogenous and endogenous variables using SmartPLS software. Findings − The findings show that from the factors identified, Service Quality, Information Quality, Performance Expectancy, Effort Expectancy, Social Influence, and Religiosity are critical variables in BSI mobile banking adoption intention. Because these six factors significantly impact the intention of BSI Mobile Banking adoption. Implications − Our work helps stakeholders strategize and policy to offer more innovative and flexible production technologies. So, the bank must pay more attention to things that support the increasing performance of mobile banking to increase customer intentions in adopting BSI mobile banking. Originality − This research provides a theoretical contribution in integrating the UTAUT and DeLone & McLean models, including the role of religiosity variables in assessing the adoption intention factors of BSI mobile banking in Indonesian society.
Purpose − This research aims to identify influencing factors on BSI mobile banking adoption intention by integrating the UTAUT and DeLone & McLean models and the role of religiosity variables. ...Methodology − This research used primary data from 150 Bank Syariah Indonesia customers who used mobile banking. The analysis method applied SEM PLS to assess the relation among exogenous and endogenous variables using SmartPLS software. Findings − The findings show that from the factors identified, Service Quality, Information Quality, Performance Expectancy, Effort Expectancy, Social Influence, and Religiosity are critical variables in BSI mobile banking adoption intention. Because these six factors significantly impact the intention of BSI Mobile Banking adoption. Implications − Our work helps stakeholders strategize and policy to offer more innovative and flexible production technologies. So, the bank must pay more attention to things that support the increasing performance of mobile banking to increase customer intentions in adopting BSI mobile banking. Originality − This research provides a theoretical contribution in integrating the UTAUT and DeLone & McLean models, including the role of religiosity variables in assessing the adoption intention factors of BSI mobile banking in Indonesian society.
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