Researcher Perceptions of a Self-Service Online Portal to Facilitate Volunteer Recruitment into Clinical Trials

Abstract Background Recruitment of volunteers is a major challenge for clinical trials. There has been increasing development and use of Internet-based portals in recruitment for clinical research. There has been little research on researcher use and perceptions of these portals. Objectives This study evaluated researcher perceptions of use of Rally, an Internet-based portal for clinical trial volunteer recruitment. Methods A cross-sectional survey was developed and implemented to understand researcher perceptions. From theoretical models of information technology use, the survey adopted items in four domains: ease of use, usefulness, facilitating conditions, and self-efficacy. The dependent variable was researchers' behavioral intention to use Rally. The survey captured characteristics of researchers such as gender, age, and role. It was implemented using the REDCap survey tool. An email invitation followed by three reminders was sent to researchers. A hierarchical regression model was applied to assess predictors of behavioral intention. Results The survey response rate was 35.6% (152 surveys received from 427 contacted researchers). In the hierarchical regression model, facilitating conditions and self-efficacy predicted behavioral intention (F (4,94) = 6.478; p <0.001). The model explained 21.6% of the variance in behavioral intention (R-square change = 21.3%, p <0.001). Conclusion Facilitating conditions and self-efficacy predicted researchers' behavioral intention to use Rally for volunteer recruitment into clinical trials. Future research should document best practices and strategies for enhancing researcher use of online portals for volunteer recruitment.

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Investigating the Determinants of Students’ Intention to Use Business Simulation Games

Journal of Educational Computing Research ◽

10.1177/0735633119865047 ◽

2019 ◽

Vol 58 (2) ◽

pp. 433-458 ◽

Cited By ~ 1

Author(s):

Yu-Yin Wang ◽

Yi-Shun Wang ◽

Shi-En Jian

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Partial Least Square ◽

Intention To Use ◽

Business Simulation ◽

Simulation Games ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Behavioral Intention To Use

Business simulation games (BSGs) are educational tools that help students develop business management knowledge and skills. However, to date, relatively little research has investigated the factors that influence students’ BSG usage intention. Grounded on the extended unified theory of acceptance and use of technology, this study helped to fill this gap by exploring intention to use BSGs. Specifically, this study investigated the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and price value on behavioral intention to use BSGs. Data collected from 141 useful respondents were tested against the research model using partial least square approach. The results of this study indicated that behavioral intention to use BSGs was influenced by facilitating conditions, hedonic motivation, and price value. Unexpectedly, performance expectancy, effort expectancy, and social influence were not predictive of students’ behavioral intention to use BSGs. These findings enhanced our understanding of students’ BSG usage behavior and provided several important theoretical and practical implications for the application of BSG in the context of business and management education.

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Using Blended Project-Based Learning for Students’ Behavioral Intention to Use and Academic Achievement in Higher Education

Education Sciences ◽

10.3390/educsci11050207 ◽

2021 ◽

Vol 11 (5) ◽

pp. 207

Author(s):

Mahdi Mohammed Alamri

Keyword(s):

Academic Achievement ◽

Behavioral Intention ◽

Self Efficacy ◽

Project Based Learning ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Cross Point ◽

Perceived Enjoyment ◽

Behavioral Intention To Use

This research focused on the potential of project-based learning and blended learning, which offer a distinctive cross-point in regard to building 21st-century skills in the classroom. Specifically, this research hypothesized that using the BPBL approach has an effect on perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. To achieve the research goal, we employed a questionnaire as the main data collection method and dispensed it to 80 students, all of whom use the BPBL approach. The findings were obtained via a quantitative research method, structural equation modeling (SEM). We found a significant relationship between the BPBL approach and perceived self-efficacy, perceived enjoyment, perceived usefulness, behavioral intention of using BPBL, and students’ academic achievement. Therefore, we believe that the BPBL approach enhances students’ behavioral intention to use and academic achievement in a blended project-based learning approach and allows sharing knowledge, information, and discussions. Thus, it is recommended that students use the BPBL approach for educational purposes, and they should also be encouraged to do so through their learning at university level.

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The Use of Smartphone Fitness Applications: The Role of Self-Efficacy and Self-Regulation

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17207639 ◽

2020 ◽

Vol 17 (20) ◽

pp. 7639

Author(s):

Anna Vinnikova ◽

Liangdong Lu ◽

Jiuchang Wei ◽

Guangbao Fang ◽

Jing Yan

Keyword(s):

Goal Setting ◽

Behavioral Intention ◽

Self Efficacy ◽

Ease Of Use ◽

Perceived Usefulness ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Self Monitoring ◽

Usage Behavior ◽

Behavioral Intention To Use

With the popularity of the health and wellness trend in recent years, smartphone fitness applications have become more and more popular. Thus, this study explored factors affecting the behavioral intention to use and the actual usage behavior of smartphone fitness apps from technical, health, and social perspectives by integrating the Social Cognitive Theory (SCT) and Unified Theory of Acceptance and Use of Technology (UTAUT). We examined whether perceived usefulness, perceived ease-of-use, social influence, self-efficacy, goal-setting, and self-monitoring predict usage behavior. Based on the survey responses of 1066 smartphone fitness apps users, we revealed that all of the variables, except for self-monitoring, significantly influence usage behavior, while behavioral intention acts as a total mediator between perceived usefulness, perceived ease-of-use and usage behavior. Drawing on the research findings, we suggest that influencing behavioral intention to use a fitness app can be an effective method to increase its adoption. Therefore, app developers need to pay attention to interventions that seek to enhance the usefulness of the app, provide professional counseling, as well as an opportunity for effortless goal setting features.

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The Roles of Self-Efficacy and Domain Knowledge on Users Behavioral Intention to use Online Distance Learning

Asia Proceedings of Social Sciences ◽

10.31580/apss.v8i2.1843 ◽

2021 ◽

Vol 8 (2) ◽

pp. 63-67

Author(s):

Mohamad Rahimi Mohamad Rosman ◽

Izzatil Husna Arshad ◽

Mohamad Sayuti Md Saleh ◽

Nurulannisa Abdullah ◽

Faizal Haini Fadzil ◽

...

Keyword(s):

Distance Learning ◽

Behavioral Intention ◽

Self Efficacy ◽

Domain Knowledge ◽

Quantitative Research ◽

Descriptive Analysis ◽

Intention To Use ◽

Online Distance Learning ◽

Online Distance ◽

Behavioral Intention To Use

Novel Coronavirus 2019 (COVID-19) has shifted the educational landscape for the past year. Face-to-face interaction has become a distant memory. It signals the emergence of digital landscape with the dependency on online distance learning (ODL) application such as Google Meet, WebEx, Zoom, and Microsoft Team. The dependencies on this software raise the issue of the willingness and user behavioral intention to use such application. Therefore, this study investigated the roles of self-efficacy and domain knowledge on the user behavioral intention to use ODL. A quantitative research methodology was adopted; instrument was adopted from previous study before following rigorous testing, pretest, pilot study, and actual data collection. The findings were then analyze based on relationship or inferentil and descriptive analysis.

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The Effect of Self Efficacy and Information Quality on Behavioral Intention with Perceived Usefulness as Intervening Variable

JABM JOURNAL of ACCOUNTING - BUSINESS & MANAGEMENT ◽

10.31966/jabminternational.v1i25.327 ◽

2018 ◽

Vol 1 (25) ◽

pp. 21

Author(s):

Muslichah Muslichah

Keyword(s):

Information System ◽

Direct Effect ◽

Behavioral Intention ◽

Self Efficacy ◽

Information Quality ◽

Rapid Development ◽

Perceived Usefulness ◽

Intention To Use ◽

Academic Information ◽

Behavioral Intention To Use

The rapid development of technology requires universities to develop an integrated academic information system to support the education process. With the application of the information system, universities can provide better information services to students. The aim of this study is to examine the influence of self-efficacy and information quality on behavioral intention toward academic information system with perceived usefulness as an intervening variable. This study used survey questionnaire in collecting data from one higher institution - STIE Malangkuçeçwara(Malangkuçeçwara School of Economic). The population in this study is all students in the sixth semester. A questionnaire was administered to all 377 students, 311 were returned yielding a response rate 82.5%. This study has three significant findings. First, the direct effect of self-efficacy on behavioral intention to use academic information system (AIS) is significant. Second, the direct effect of information quality on behavioral intention to use AIS is significant. Third, The indirect effect of self-efficacy and information quality on behavioral intention to use AIS through perceived usefulness is not significant

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Smartphone Alcohol Use Disorder Recovery Apps: an Survey of Behavioral Intention to Use using UTAUT (Preprint)

10.2196/preprints.33493 ◽

2021 ◽

Author(s):

Rijuta Menon ◽

Julien Meyer ◽

Pria Nippak ◽

Housne Begum

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Alcohol Use Disorder ◽

Survey Study ◽

P Value ◽

Intention To Use ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Behavioral Intention To Use

BACKGROUND Alcohol Use Disorder (AUD) carries a huge health and economic cost to society. Effective interventions exist but numerous challenges limit their adoption, especially in a pandemic context. AUD recovery apps (AUDRA) have emerged as a potential complement to in-person interventions. They are easy to access and show promising results in terms of efficacy. However, they rely on individual adoption decision and remain underused. OBJECTIVE The aim of this survey study is to explore the beliefs that determine the intention to use AUDRA. METHODS We conducted a cross-sectional survey study of people suffering from AUD. We used the Unified Theory of Acceptance and Use of Technology, which predicts use and behavioral intention to use based on performance expectancy, effort expectancy, social influence and facilitating conditions. Participants were recruited directly from two sources: first, respondents at addiction treatment facilities in Ontario, Canada were contacted in person and filled a paper form; second, members from AUD recovery support groups on social media were contacted and invited to fill an online sruvey. The survey was conducted between October 2019 and June 2020. RESULTS The final sample was comprised of 159 participants (124 online and 35 paper based) self-identifying somewhat or very much with AUD. Most participants (85.5%) were aware of AUDRA and those participants scored higher on performance expectancy, effort expectancy and social influence. Overall, the model explains 35.4% of the variance in behavioral intention to use AUDRA and 11.1% of the variance in use. Social influence (p-value 0.314), especially for women (p-value 0.227) and effort expectancy (p value 0.247) were key antecedents of behavioral intention. Facilitating conditions was not significant overall but was moderated by age (p value 0.231) suggesting that it matters for older participants. Performance expectancy did not predict behavioral intention, which is unlike many other technologies but confirms other findings with mhealth. Open-ended questions suggest that privacy concerns may play a significant role for AUDRA. CONCLUSIONS This study suggests that unlike many other technologies, the adoption of AUDRA is not mainly determined by utilitarian factors such as performance expectancy. Rather, effort expectancy and social influence play a key role in determining the intention to use AUDRA.

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Analysis of Factors Affecting Behavioral Intention to Use E-Learning Uses the Unified Theory of Acceptance and Use of Technology Approach

KnE Social Sciences ◽

10.18502/kss.v4i6.6658 ◽

2020 ◽

Author(s):

Ramllah . ◽

Ahmad Nurkhin

Keyword(s):

Social Influence ◽

Behavioral Intention ◽

Intention To Use ◽

Performance Expectancy ◽

Learning Intention ◽

Effort Expectancy ◽

E Learning ◽

Facilitating Conditions ◽

Behavioral Intention To Use ◽

Descriptive Statistical Analysis

The purpose of this study isto analyze the influence of performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creadibility, and anxiety on e-learning behavioral intention to use who are moderated by experience and voluntariness of use.The study population was 215 students who used e-learning in the Accounting Department of SMK N 1 Karanganyar. The sample selection using Slovin method with an error rate of 5% and sampling area technique obtained by respondents as many as 140 students. The technique of collecting data using a questionnaire. Data analysis techniques used descriptive statistical analysis and SEM-PLS. Data analysis tool using WarpPLS 5.0.The results of the descriptive statistical analysis show that the behavioral intention to use e-learning, performance expectancy, effort expectancy, social influence, facilitating conditions, perceived creativity, anxiety, experience and voluntariness of use are in the sufficient category. Hypothesis test results show the influence of performance expectancy on e-learning behavioral intention to use, effort expectancy does not affect the behavioral e-learning intention to use, social influence has an effect on behavioral e-learning intention to use, facilitating conditions have no effect on behavioral intention to Using e-learning, perceived creativity does not affect e-learning behavior, anxiety influences the behavioral intention to use e-learning, voluntary moderating negative social influences the behavioral e-learning intention to use, experience moderates the effect of effort expectancy on The behavior of e-learning intention to use, experience does not moderate the influence of social influence on the behavioral e-learning intention to use, experience does not moderate the effect of facilitating conditions on e-learning behavioral intention to use e-learning the conclusion of this study states that of the ten hypotheses proposed there are five types of hypotheses accepted. Keywords: E-learning, Behavioral Intention, UTAUT.

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Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: An extended UTAUT model

PLoS ONE ◽

10.1371/journal.pone.0250220 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0250220

Author(s):

Kirubel Biruk Shiferaw ◽

Shegaw Anagaw Mengiste ◽

Monika Knudsen Gullslett ◽

Atinkut Alamirrew Zeleke ◽

Binyam Tilahun ◽

...

Keyword(s):

Low Income ◽

Self Efficacy ◽

Structural Model ◽

Healthcare Providers ◽

Intention To Use ◽

Middle Income ◽

Performance Expectancy ◽

Effort Expectancy ◽

Facilitating Conditions ◽

Behavioral Intention To Use

Background In almost all lower and lower middle-income countries, the healthcare system is structured in the customary model of in-person or face to face model of care. With the current global COVID-19 pandemics, the usual health care service has been significantly altered in many aspects. Given the fragile health system and high number of immunocompromised populations in lower and lower-middle income countries, the economic impacts of COVID-19 are anticipated to be worse. In such scenarios, technological solutions like, Telemedicine which is defined as the delivery of healthcare service remotely using telecommunication technologies for exchange of medical information, diagnosis, consultation and treatment is critical. The aim of this study was to assess healthcare providers’ acceptance and preferred modality of telemedicine and factors thereof among health professionals working in Ethiopia. Methods A multi-centric online survey was conducted via social media platforms such as telegram channels, Facebook groups/pages and email during Jul 1- Sep 21, 2020. The questionnaire was adopted from previously validated model in low income setting. Internal consistency of items was assessed using Cronbach alpha (α), composite reliability (CR) and average variance extracted (AVE) to evaluate both discriminant and convergent validity of constructs. The extent of relationship among variables were evaluated by Structural equation modeling (SEM) using SPSS Amos version 23. Results From the expected 423 responses, 319 (75.4%) participants responded to the survey questionnaire during the data collection period. The majority of participants were male (78.1%), age <30 (76.8%) and had less than five years of work experience (78.1%). The structural model result confirmed the hypothesis “self-efficacy has a significant positive effect on effort expectancy” with a standardized coefficient estimate (β) of 0.76 and p-value <0.001. The result also indicated that self-efficacy, effort expectancy, performance expectancy, facilitating conditions and social influence have a significant direct effect on user’s attitude toward using telemedicine. User’s behavioral intention to use telemedicine was also influenced by effort expectancy and attitude. The model also ruled out that performance expectancy, facilitating conditions and social influence does not directly influence user’s intention to use telemedicine. The squared multiple correlations (r2) value indicated that 57.1% of the variance in attitude toward using telemedicine and 63.6% of the variance in behavioral intention to use telemedicine is explained by the current structural model. Conclusion This study found that effort expectancy and attitude were significantly predictors of healthcare professionals’ acceptance of telemedicine. Attitude toward using telemedicine systems was also highly influenced by performance expectancy, self-efficacy and facilitating conditions. effort expectancy and attitude were also significant mediators in predicting users’ acceptance of telemedicine. In addition, mHealth approach was the most preferred modality of telemedicine and this opens an opportunity to integrate telemedicine systems in the health system during and post pandemic health services in low-income countries.

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ANALISIS FAKTOR PENERIMAAN DAN PENGGUNAAN SOFTWARE ACCURATE DALAM PERSPEKTIF TECHNOLOGY ACCEPTANCE MODEL (Studi Empiris pada Mahasiswa Program Studi S1 Jurusan Akuntansi Fakultas Ekonomi Universitas Tadulako)

Jurnal Akun Nabelo: Jurnal Akuntansi Netral, Akuntabel, Objektif ◽

10.22487/j26223090.2019.v1.i2.11883 ◽

2019 ◽

Vol 1 (2) ◽

Author(s):

Rendy Rekka ◽

Chalarce Totanan ◽

Sudirman Sudirman ◽

Arung Gihna Mayapada

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Behavioral Intention ◽

Self Efficacy ◽

Partial Least Square ◽

Perceived Usefulness ◽

Intention To Use ◽

Acceptance Model ◽

Behavioral Intention To Use ◽

Computer Self Efficacy

This study aims to analyze acceptance and usage factors of Accurate Software based on the perspective of technology acceptance model. These factors include perceived ease of use, perceived usefulness, and behavioral intention to use. We also add some external variables which are pressure to use and computer self efficacy. The data of this study are obtained from questionnaires and measured using Likert scale. The analysis method used in this study is partial least square (PLS). The sample is bachelor degree students of 2014, 2015, and 2016 batches in Accounting Department in Faculty of Economics in Tadulako University. The results of the study show that perceived ease to use, perceived usefulness, behavioral intention to use, pressure to use, and computer self efficacy have significant effect to actual usage of Accurate Software. The results of this study verify technology acceptance model.

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