Variance In Behavioral Intention Research Articles

Patients' Adoption of Electronic Personal Health Records in England: Secondary Data Analysis.

BackgroundIn England, almost all general practices (GPs) have implemented GP online services such as electronic personal health records (ePHRs) that allow people to schedule appointments, request repeat prescriptions, and access parts of their medical records. The overall adoption rate of GP online services has been low, reaching just 28% in October 2019. In a previous study, Abd-Alrazaq et al adopted a model to assess the factors that influence patients’ use of GP online services in England. According to the previous literature, the predictive power of the Abd-Alrazaq model could be improved by proposing new associations between the existing variables in the model.ObjectiveThis study aims to improve the predictive power of the Abd-Alrazaq model by proposing new relationships between the existing variables in the model.MethodsThe Abd-Alrazaq model was amended by proposing new direct, mediating, moderating, and moderated mediating effects. The amended model was examined using data from a previous study, which were collected by a cross-sectional survey of a convenience sample of 4 GPs in West Yorkshire, England. Structural equation modeling was used to examine the theoretical model and hypotheses.ResultsThe new model accounted for 53% of the variance in performance expectancy (PE), 76% of the variance in behavioral intention (BI), and 49% of the variance in use behavior (UB). In addition to the significant associations found in the previous study, this study found that social influence (SI) and facilitating conditions (FCs) are associated with PE directly and BI indirectly through PE. The association between BI and UB was stronger for younger women with higher levels of education, income, and internet access. The indirect effects of effort expectancy (EE), perceived privacy and security (PPS), and SI on BI were statistically stronger for women without internet access, patients with internet access, and patients without internet access, respectively. The indirect effect of PPS on BI was stronger for patients with college education or diploma than for those with secondary school education and lower, whereas the indirect effect of EE on BI was stronger for patients with secondary school education or lower than for those with college education or a diploma.ConclusionsThe predictive power of the Abd-Alrazaq model improved by virtue of new significant associations that were not examined before in the context of ePHRs. Further studies are required to validate the new model in different contexts and to improve its predictive power by proposing new variables. The influential factors found in this study should be considered to improve patients’ use of ePHRs.

Understanding preservice music teachers’ intention to remain in the profession: An integrated model of the theory of planned behaviour and motivation theory

Music teacher attrition represents a serious educational concern, especially among preservice music teachers due to their lack of sufficient occupational identity and commitment. However, factors influencing their decisions on remaining in/leaving the profession are not well understood. This study proposed and empirically tested a psychological decision model by integrating the theory of planned behaviour and motivation theory to explain preservice music teachers’ intention to remain in the profession. Questionnaires were administrated to 218 preservice music teachers from vocational colleges in China. The results showed that the integrated model could explain 78% of the variance in behavioural intention. Attitude, subjective norm and intrinsic motivation were identified as significant antecedents for preservice music teachers’ intention to remain in the profession, while perceived behavioural control and extrinsic motivation exerted indirect impacts on behavioural intention through mediating roles of intrinsic motivation and attitude. The findings provide important implications for the design of effective policies and strategies to attract and keep preservice music teachers in the profession.

Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System.

Technological advances are changing every aspect of our lives, from the way we work, to how we learn and communicate. Advanced driver assistance systems (ADAS) have seen an increased interest due to the potential of ensuring a safer environment for all road users. This study investigates the use of a smartphone-based ADAS in terms of driving performance and driver acceptance, with the aim of improving road safety. The mobile application uses both cameras of a smartphone to monitor the traffic scene and the driver’s head orientation, and offers an intuitive user interface that can display information in a standard mode or in augmented reality (AR). A real traffic experiment consisting of two driving conditions (a baseline scenario and an ADAS scenario), was conducted in Brasov, Romania. Objective and subjective data were recorded from twenty-four participants with a valid driver’s license. Results showed that the use of the ADAS influences the driving performance, as most of them adopted an increased time headway and lower mean speeds. The technology acceptance model (TAM) questionnaire was used to assess the users’ acceptance of the proposed driver assistance system. The results showed significant interrelations between acceptance factors, while the hierarchical regression analysis indicates that the variance of behavioral intention (BI) can be predicted by attitude toward behavior.

The Determinants of Digital Payment Systems’ Acceptance under Cultural Orientation Differences: The Case of Uncertainty Avoidance

The digital payment method has become a pervasive payment phenomenon in the world, as in the case of Jordan Mobile Payment (JoMoPay) system which can be used to save time, effort, and cost. Consequently, the evaluation of digital payment systems is vital to ensure successful implementation and positive influences on users. The current paper expands the Unified Theory of Acceptance and Use of Technology (UTAUT2) to the study of JoMoPay system in the Jordanian context. The research's proposed model incorporates four new external constructs into UTAUT2 model, namely; awareness, security, privacy and culture. In addition, the relationships between social influence and behavioural intention to use JoMoPay system is moderated by culture. The data were collected by conducting a field survey questionnaire on 270 respondents of Jordanian public sector employees and were analyzed using Partial Least Squares (PLS) Version 3.2.3. The results mainly show that intention to use JoMoPay system is significantly and positively influenced by performance expectancy, social influence, price value, security and privacy, which together explain 0.612 of the variance of behavioural intention. Next, contrary to what is expected, culture does not moderate the relationship between social influence and intention to use JoMoPay system; and hence the related hypothesis was not supported. Lastly, more discussion regarding the theoretical and managerial contributions as well as limitations and future research are presented at the end of this paper, which completes the whole paper.

Pre-service teachers’ intention to use learning management system: an integration of UTAUT and TAM

PurposeThis paper aims to develop and test a research model to explore the factors that influence pre-service teachers’ intention to use learning management system (LMS).Design/methodology/approachA cross-section study was conducted. A survey questionnaire was used to collect data from participants. The total number of participants was 361 pre-service teachers. Partial least square structural equation model was used to analyze the data.FindingsThe findings of this study found that the research model explained approximately 43% of the variance in behavioral intention. Also, the findings revealed that attitude and social influence had an effect on behavioral intention to use technology, but the facilitating condition had no effect on behavior intention to use technology. Finally, performance expectancy, effort expectancy and social influence had an effect on attitude while facilitating condition had no effect on attitude.Originality/valueIn technology acceptance research, unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM) have been broadly designed and empirically tested to elucidate the determinants that impact users’ intention to operate technology in the developed world. However, research on the validation of TAM and UTAUT to explain the determinants that influence preservice teachers’ intention to use a LMS in developing countries is insufficient. Therefore, it is important to evaluate the efficacy of the integrated model of TAM and UTAUT to explain preservice teachers’ intention to use technology and explore the influential determinants that explain preservice teachers’ intention to use LMS.

User acceptance of virtual reality technology for practicing digital twin-based crisis management

ABSTRACT Digital Twin can provide emergency response staff with large quantities of useful information about the emergency. However, the capability of the staff to understand and use the information correctly is equally as important. Hence, regular crisis management training is required in sophisticated manufacturing systems. Still, the time and location constraints limit the frequency of conducting such practices. As such, virtual reality-based crisis management training methods were proposed in the literature. However, little research was conducted to investigate the underlying mechanisms that drive both the perception and the adoption of virtual reality for crisis management training among users. To address this research gap, this study proposed a research model to examine the effects of perceived usefulness, perceived ease of use, perceived behavioral control, application-specific self-efficacy, and attitude on users’ acceptance of the system. A partial least squares structural equation modeling approach was used for model testing based on 103 valid observations. The results demonstrated that the constructs proposed in our study determined user acceptance of the system, and the research model was able to explain 60% of the variance in behavioral intention. The likelihood of acceptance of related technologies may be increased by applying the findings of this study.

How to raise technology acceptance: user experience characteristics as technology-inherent determinants

This paper in the journal “Gruppe. Interaktion. Organisation. (GIO)” presents a study that investigated user experience characteristics as determinants of technology acceptance. Organizations planning to implement new technologies are confronted with the challenge to ensure user acceptance. Barely accepted technologies are used less often, result in lower job satisfaction, and ultimately lead to performance losses. The technology acceptance model (Venkatesh and Bala 2008) incorporates determinants of information technology use. The model’s predictors have a strong focus on interindividual user characteristics (such as computer self-efficacy) and the job context (e.g., voluntariness). Yet, what is lacking in the model, are characteristics of the technology itself that can be used as starting points to design better technologies. To bridge this gap, we introduce the User Experience Technology Acceptance Model, and provide a first test of this model. In our online survey (N = 281), we investigated how technological determinants, more specifically user experience characteristics, affected technology acceptance. Except for two paths of our proposed model, all path coefficients were significant with small to large effect sizes (f2 = 0.02–0.66). User experience predictors resulted in 60.6% of explained variance in perceived ease of use, 38.2% of explained variance in perceived usefulness, and 25.8% of explained variance in behavioral intention. Our results provide mostly support for our extension of the technology acceptance model. The technology-inherent characteristics output quality, perspicuity, dependability, and novelty were significant predictors of technology acceptance. We discuss theoretical and practical implications with the focus on technology designers, change managers, and users.

Modelling Public Intention to Reduce Non-Revenue Water: An Expanded Version of the Theory of Planned Behaviour

The study seeks to determine the public’s Non-Revenue Water (NRW) reduction behavioural intention in Malaysia. It endeavours to expand the social-psychological behavioural model which is the theory of planned behaviour (TPB) by adding the determinants of environmental knowledge, environmental concern, the respondents’ gender, age group, ethnicity, marital status and education level to predict the public’s behavioural intention to engage in NRW reduction practices. A self-structured questionnaire with face-to-face interview was employed to gather responses from 800 citizens who are currently living in the state of Selangor, the Federal Territory of Kuala Lumpur, Pahang, and Johor. Following the subsequent hierarchical linear regression models, the final model has explained 51.3% of the variance in behavioural intention to take part in NRW reduction practices. The study’s findings identify that the factors of attitude, subjective norm, perceived behavioural control, environmental knowledge, environmental concern, and gender significantly influence the NRW reduction intention. Moreover, the study reveals that ethnicity and education differences have significant influences on the expanded TPB in terms of NRW reduction. This study furthers to the present theory and experience by offering advantageous perception about the application of environmental knowledge and environmental concern on the public’s NRW reduction intention.

Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries

Drawing on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model, this study aimed to determine the key variables that facilitate the acceptance of mobile learning in two Middle Eastern countries (Saudi Arabia and Iraq), as well as identifying the constructs that can help enhance learners' motivation. A conceptual framework was proposed based on a modified UTAUT2, wherein trust was integrated, and new relationships were assumed among the proposed Model variables. Data were gathered using an online questionnaire from 469 higher education students of Computer Science. The collected data were analyzed with partial least squares (PLS) structural equation modeling and multi-group analysis (MGA) techniques. The results suggest significant differences in learners' perceptions from both countries. It was found that although some variables were significant in one country, they were not in the other and vice versa. Overall, the proposed framework explained 56.1% and 40.7%, respectively of the variance of behavioral intention and hedonic motivation among the Saudi sample (N = 246), and 51.1% and 41.9%, respectively of the variance of behavioral intention and hedonic motivation in the Iraqi sample (N = 223). These research outcomes are significant for educational institutions as they could help policy-makers better understand the issues facing mobile learning acceptance in terms of cultural similarities and differences. Accordingly, new strategies could be formulated to ensure improved mobile learning uptake.

Adoption of Mobile health Insurance Systems in Africa: evidence from Cameroon

The cost of health care services remains central concerns in low- and middle-income countries (LMIC), especially in Africa. One of the major challenges they face is how to efficiently reduce out-of-pocket spending. Health insurance systems are either inexistent or inefficient in many of these countries. In an attempt to implement and improve these systems, several countries have implemented mobile-supported health insurance systems (MHIS). Unfortunately, most of these programs have not crossed the pilot phases because of low adoption rates. Thus, this study sought to investigate the factors that influence the adoption of MHIS in LMIC. Using 263 valid responses collected during a 3-month survey in Cameroon, we found that coping appraisal and technology appraisal are important for the adoption of MHIS in LMIC. Precisely, performance expectancy, self-efficacy, response efficacy, facilitating conditions, and perceived cost explain 57.7% of the variance in behavioral intention to adopt MHIS. This study is based on empirically tested factors founded on the protection motivation theory (PMT) and the unified theory of acceptance and use of technology (UTAUT). Our contributions target health economists, technologists, policymakers, managers, researchers, and anyone interested in understanding the behavior of health insurance service consumers in LMIC and the pressures insurers and governments face during MHIS programs. We discuss the implications of our findings and further research that could help further explain MHIS adoption in LMIC.

The actual demand behind demand-responsive transport: Assessing behavioral intention to use DRT systems in two rural areas in Germany

Despite the potential capability of demand-responsive transport systems (DRT) to improve service quality of public transport in rural areas, existing DRT systems in Germany are often under-utilized. Thus, there is a need to examine usage barriers and facilitating factors that affect the adoption of DRT systems. A household survey in two rural areas of Germany with DRT systems (N = 205) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) was conducted and analysed using the Structural Equation Model (SEM) approach. The results indicate that the constructs of Performance Expectancy and Facilitating Conditions were useful predictors of Behavioural Intentions to use DRT systems, with Performance Expectancy having the strongest impact on the model. The resulting model explained 47% of variance of Behavioural Intention to use a DRT. The results contribute to a greater understanding of the actual users’ demand behind demand-responsive transport and provide recommendations for policy and practitioners to design and operate user-centred DRT systems and thus to enhance their adoption.

The quality of gardens tourism and the visitor experience: differentiating between first time and repeat visitors

ABSTRACT Tourism literature rarely mentions gardens as relevant tourist attractions. Unlike previous garden studies, this study examines gardens from a demand perspective. This study examines quality of visitors’ experience, satisfaction, and loyalty, and meaningfully explains a variance in behavioural intention between first-time and repeat visitors. A multi-sample structural equation path analyses that tests for differences between similar models of distinctive groups (first-time and repeat visitors) was applied in this study. The case study was conducted in a botanic garden in Central Florida. The results indicate that garden quality and visitors’ experiences predict satisfaction and visitors’ behavioural intentions for repeat garden visits. This study contributes to the sparse body of knowledge on the experience of visitors and their behavioural intentions to return to tourism gardens. These findings suggest that there is a significant difference between first-time and repeat visitors experience of garden quality dimensions and subsequent satisfaction and loyalty.

Modelling public intention to reduce Non-Revenue Water: An expanded version of the Theory of Planned Behaviour

The study aims to examine the public’s Non-Revenue Water (NRW) reduction behavioural intention in Malaysia. It attempts to expand the social-psychological behavioural model (i.e. the theory of planned behaviour (TPB)) by adding the constructs of environmental knowledge, environmental concern, the respondents’ gender, age group, ethnicity, marital status and education level to predict the public’s behavioural intention to engage in NRW reduction practices. A self-structured questionnaire with face-to-face interview was employed to gather responses from 800 citizens who are currently living in the state of Selangor, the Federal Territory of Kuala Lumpur, Pahang, and Johor. Following the subsequent hierarchical linear regression models, the final model has explained 51.3% of the variance in behavioural intention to engage in NRW reduction practices. The study’s findings identify that the factors of attitude, subjective norm, perceived behavioural control, environmental knowledge, environmental concern, and gender significantly influence the NRW reduction intention. Moreover, the study reveals that ethnicity and education differences have significant influences on the expanded TPB in terms of NRW reduction. This study contributes to the existing theory and practice by providing useful insights about the attribution of environmental knowledge and environmental concern on the public’s NRW reduction intention.

Evaluating Ghanaian Family Carers' Perceptions on the Use of Healthcare Wearable Devices by Dementia Patients

<p>This study seeks to assess the perceptions and readiness of family carers of dementia patients in Ghana to recommend for use of healthcare wearable devices by dementia patients.</p> <p>Using a structured questionnaire, this study sampled and analyzed the views of 355 family carers from thirteen administrative regions of Ghana. The different perceptions of family carers on the use of healthcare wearable devices based on questions adapted from the extended unified theory of acceptance and use of technology model, were assessed using Pearson’s correlation and multiple linear regression.</p> <p>The results of the regression indicated that the model explained 75.4% of the variance of behavioral intention and was a significant predictor of family carers’ perception on the use of healthcare wearable devices by patients with dementia in Ghana. In terms of the individual contributions of family carers’ perceptions based on the extended Unified Theory of Acceptance and Use of Technology model’s indicators, all indicators contributed significantly to the model with p-values less than 0.05 except family carers’ perception on social influence and perception on resistance to change, which were not significant with p-values greater than 0.05.</p> <p>Despite concerns of insufficient disposable income of carers, and existence of inherent issues relating to safety, privacy and security of patients data in their quest to use healthcare wearable devices, our findings suggest that family carers in Ghana are willing and ready to recommend for use of healthcare wearable devices by dementia patients, which may consequently enhance their well-being and help satisfy their desire to live independently.</p>

Understanding citizen attendance to poll aggregation websites through an extended application of the theory of planned behavior

ABSTRACT This study integrated need for orientation and subjective numeracy into the theory of planned behavior to understand the use of poll aggregation websites over the course of the 2016 presidential election. The results of a longitudinal analysis suggested that need for orientation is positively associated with one’s perceptions of the value ascribed to poll aggregation websites by important others, and one’s overall attitudes toward poll aggregation websites. Furthermore, the present data indicated that numeracy is positively associated with the degree to which users believe that they can successfully extract meaning from poll aggregation sites. We also found that perceived behavioral control, subjective normative perceptions, and attitudes all significantly accounted for variance in behavioral intentions to use poll aggregate websites. Finally, the data indicated that behavioral intention was a significant predictor of self-reported website usage, even after controlling for prior levels of use.

Study Penerimaan Masyarakat Propinsi Selatan Terhadap Layanan E-Government Menggunakan Model Unified Theory of Acceptance And Use of Technology (UTAUT)

Electronic government is the use of information technology by government institutions that enables the transformation of relations with citizens, business people, and fellow government institutions. The services provided are more accurate, easily accessible, low cost and save time for the community. With e-government, public services can be done 24 hours, anytime and anywhere without having to meet directly with the officers. And with e-government, the people also don't need to queue for service. Even though Indonesia actually already has e-government services, it is not very effective for the community to use it. People are more interested in using traditional methods. Namely by visiting government offices. But the website is rarely updated in news. Therefore we need research on e-government to find out the factors that influence the acceptance of e-government. In this study, researchers used the Unified Theory of Acceptance and Use of Technology (UTAUT) model with the variables Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Privacy, trust as independent factors. Behavioral Intention and Use Behavior as dependent factors. Age and Gender as a moderation factor. This model will then be validated using the Structural Equation Modeling (SEM) method with the help of AMOS 22 software. After the model is validated using AMOS 22, which variables will be obtained are significant and which variables are not. Variable privacy, social influence is proven to influence behavioral intention. And behavioral intention variables are proven to influence the use behavior.

Considering emotional solidarity and the theory of planned behavior in explaining behavioral intentions to support tourism development

Though the tourism literature has experienced no shortage of research surrounding residents’ attitudinal support for tourism and tourism development, seldom has work focused on behavioral intentions of support, especially taking into consideration residents’ perceived relationship with tourists. That said, the aim of this study is to formulate a model that incorporates emotional solidarity and theory of planned behavior constructs to gauge residents’ behavioral intentions to support tourism. To test proposed model relationships between emotional solidarity, attitudinal support for tourism, perceived behavioral control, subjective norms, and behavioral intentions to support, data was collected from 740 residents of the widely-popular Mediterranean destination, Izmir (Turkey), and analyzed via structural equation modelling. Results revealed that each of the six proposed hypotheses were supported in the theoretical model. The three factors of emotional solidarity (i.e., welcoming nature, sympathetic understanding, and emotional closeness) uniquely explained 45% (R2SMC = 0.45) of the variance in attitudinal support for tourism. In turn, attitudinal support, along with perceived behavioral control and subjective norms, explained 42% (R2SMC = 0.42) of the variance in behavioral intentions to support tourism within Izmir. Implications for theory and practice along with limitations and future research opportunities are discussed at the close of the paper.

Empirical Investigation of Factors Influencing Consumer Intention to Use an Artificial Intelligence-Powered Mobile Application for Weight Loss and Health Management.

Background: Research into interventions based on mobile health (m-Health) applications (apps) has attracted considerable attention among researchers; however, most previous studies have focused on research-led apps and their effectiveness when applied to overweight/obese adults. There remains a paucity of research on the attitudes of typical consumers toward the adoption of m-Health apps for weight management. This study adopted the tenets of the extended unified theory of acceptance and use of technology 2 (UTAUT2) as the theoretical foundation in developing a model that integrates personal innovativeness (PI) and network externality (NE) in seeking to identify the factors with the most pronounced effect on one's intention to use an artificial intelligence-powered weight loss and health management app. Materials and Methods: An online survey was conducted for Taiwanese participants aged ≥21 years from May 23 to June 30, 2018. Hypotheses were tested using structural equation modeling. Results: In the analysis of 458 responses, the proposed research model explained 75.5% of variance in behavioral intention (BI). Habit was the independent variable with the strongest performance in predicting user intention, followed by PI, NE, and performance expectancy (PE). Social influence weakly affects user intention through PE. In multi-group analysis, education was shown to exert a moderating influence on some of the relationships hypothesized in the model. Conclusions: The empirically validated model in this study provides insights into the primary determinants of user intention toward the adoption of m-Health app for weight loss and health management. The theoretical and practical implications are relevant to researchers seeking to extend the applicability of the UTAUT2 model to health apps as well as practitioners seeking to promote the adoption of m-Health apps. In the future, researchers could extend the model to assess the effects of BI on actual use behavior.

Integrating emotional attachment, resource sharing, communication and collaboration into UTAUT2 to examine students behavioural intention to adopt social media networks in education

This study aims to develop and test an amalgamated conceptual framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with trust (TR), emotional attachment (EA), resource and material sharing (RA), communication (COM) and collaboration (COL), which might be the salient factors that may influence the adoption of Social Networking Sites (SNS) for educational purposes. Data were collected from 399 Omani university students who use SNSs for their academic purposes using a self-administrated questionnaire. Confirmatory Factor Analysis (CFA) was employed to perform reliability and validity checks, and Structural Equation Modelling (SEM) was employed to test the proposed conceptual model. As hypothesised, the findings of this research revealed that students' Behavioural Intention (BI) was positively and significantly influenced by COM, RA, Performance Expectancy (PE), COL, EA, hedonic motivation, and habit, in their order of influencing power and explained 67.7% of the variance in behavioural intention. However, effort expectancy and TR did not have affecting impact on BI. This study could help instructors and managements at higher educational institutions to formulate strategies to encourage the students to use the social networking sites for academic purposes.

Students’ Choice Intention of a Higher Learning Institution : An Application of the Theory of Reasoned Action (TRA)

The purpose of the present study is to identify the determinants of upper secondary level students’ intentions whether to choose a private or a public higher learning institution. Ajzen and Fishbein’s (1980) Theory of Reasoned Action was used as the basis for this study. The theory posits that the immediate determinant of behavior is intention. Intention is determined by the weighted attitude toward the behavior and the weighted subjective norm. Combinations of beliefs, evaluations, and motivation to comply determine attitude and subjective norm towards behavior. Salient beliefs related to attitude towards both private and public institutions of higher learning and salient beliefs related to the subjective norm for both private and public higher learning institutions were identified. The sample consisted of 132 students whose age ranges from 16 years to 24 years. Hypotheses generated in accordance to the theory were confirmed. The findings also showed that attitude toward behavior and subjective norm explained 75% of the variance in behavioral intention for both private and public institutions of higher learning. Attitude toward behavior had a greater relative weight (β =0.539) compared to the subjective norm (β =0.401) for both private and public higher learning institutions. Implications of the above findings are discussed.