Factors affecting the acceptance of blended learning in medical education: application of UTAUT2 model

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.

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Factors Affecting the Acceptance of Blended Learning in Medical Education: Application of UTAUT2 Model

10.21203/rs.3.rs-27351/v1 ◽

2020 ◽

Author(s):

Seyyed Mohsen Azizi ◽

Nasrin Roozbahani ◽

Alireza Khatony

Keyword(s):

Medical Education ◽

Blended Learning ◽

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Intention To Use ◽

Validity And Reliability ◽

Cross Sectional ◽

Actual Usage ◽

Behavioral Intention To Use

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.

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Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Healthcare ◽

10.3390/healthcare9070780 ◽

2021 ◽

Vol 9 (7) ◽

pp. 780

Author(s):

Yogi Tri Prasetyo ◽

Ralph Andre C. Roque ◽

Thanatorn Chuenyindee ◽

Michael Nayat Young ◽

John Francis T. Diaz ◽

...

Keyword(s):

Medical Education ◽

Medical Students ◽

Behavioral Intention ◽

Structural Equation ◽

The Philippines ◽

Equation Modeling ◽

Online Questionnaire ◽

Factors Affecting ◽

Use Of Technology ◽

Instructor Characteristics

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

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A model of Factors Influencing Behavioral Intention to Use Internet Banking and the Moderating Role of Anxiety: Evidence from Vietnam

10.31219/osf.io/3rgh6 ◽

2020 ◽

Author(s):

Ha Nam Khanh Giao ◽

Bui Nhat Vuong

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Positive Impact ◽

Final Analysis ◽

Internet Banking ◽

Equation Modeling ◽

Intention To Use ◽

Behavioral Intention To Use ◽

Moderating Role

Internet banking is becoming a new focus as the number of internet users and its benefits are increasing worldwide and its benefits. However, the degree of intent to use internet banking is still a question of interest. Thus, the purpose of this paper is to investigate the factors affecting attitude and behavioral intention to use internet banking in Viet Nam, as well as the moderating role of anxiety, will be examined. Totally, 584 questionnaires were collected for the final analysis. The results fromthe partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program showed that facilitating condition, performance expectancy, social influence, perceived credibility, and effort expectancy had a positive impact on attitude and behavioral intention to use internet banking. Besides, anxiety decreased behavioral intention and it also dampened the positive relationship between attitude and behavioral intention. The findings of this study could help banks to improve their service to attract more users. Besides, the use of internet banking could reduce thefrequency to a bank that indirectly reduces costs.

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Customer Loyalty: The Difference between Full-Service Carriers and Low-Cost Carriers in Indonesia

Binus Business Review ◽

10.21512/bbr.v12i1.6489 ◽

2021 ◽

Vol 12 (1) ◽

pp. 21-29

Author(s):

Yasintha Soelasih ◽

Sumani Sumani

Keyword(s):

Customer Satisfaction ◽

Service Quality ◽

Customer Loyalty ◽

Behavioral Intention ◽

Structural Equation ◽

Low Cost ◽

Equation Modeling ◽

Intention To Use ◽

Low Cost Carriers ◽

Behavioral Intention To Use

The research aimed to look at the differences in customer loyalty on domestic Full-Service Carriers (FSCs) and Low-Cost Carriers (LCCs) in Indonesia. The differences were shown from testing the effect of service quality on customer loyalty mediated by customer satisfaction and behavioral intention to use. Respondents were FSCs and LCCs passengers. Samples were taken by purposive sampling. There were 522 respondents for FSCs and 529 respondents for LCCs were observed by distributing questionnaires. Then, the research tested the validity and reliability of the variables using Confirmatory Factor Analysis (CFA), Composite Reliability (CR), and Average Variance Extracted (AVE). Structural Equation Modeling (SEM) was also applied to examine the hypothesis. The results show the formation of customer loyalty from service quality, customer satisfaction, and behavioral intention to use on FSCs and LCCs. The most significant factor is the behavioral intention in forming customer loyalty in FSCs and LCCs. Meanwhile, customer satisfaction does not influence customer loyalty for FSCs and LCCs.

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A SEM-Neural Network Approach for Predicting Antecedents of Factors Influencing Consumers' Intent to Install Mobile Applications

Mobile Technologies and Socio-Economic Development in Emerging Nations - Advances in Wireless Technologies and Telecommunication ◽

10.4018/978-1-5225-4029-8.ch012 ◽

2018 ◽

pp. 262-308 ◽

Cited By ~ 8

Author(s):

Yakup Akgül

Keyword(s):

Neural Network ◽

Mobile Applications ◽

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Second Phase ◽

Intention To Use ◽

Neural Network Approach ◽

The Neural Network ◽

Behavioral Intention To Use

This chapter explores the present gap in the literature regarding the acceptance of mobile applications by investigating the factors that affect users' behavioral intention to use apps in Turkey. First, structural equation modeling (SEM) was used to determine which variables had significant influence on intention to install. In a second phase, the neural network model was used to rank the relative influence of significant predictors obtained from SEM. The results reveal that habit, performance expectancy, trust, social influence, and hedonic motivation affect the users' behavioral intention to use apps.

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

BMC Health Services Research ◽

10.1186/s12913-021-06244-3 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Minghao Pan ◽

Wei Gao

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Explanatory Power ◽

Intention To Use ◽

Unified Theory ◽

Cross Sectional Survey ◽

Related Factors ◽

Cross Sectional ◽

Use Of Technology ◽

Behavioral Intention To Use

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.

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ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI AKADEMIK, STUDI KASUS STIKES HARAPAN BANGSA

Solusi ◽

10.26623/slsi.v17i3.1634 ◽

2019 ◽

Vol 17 (3) ◽

Author(s):

Iis Setiawan Mangku Negara ◽

Fania Mutiara Savitri

Keyword(s):

Structural Equation Modeling ◽

Behavioral Intention ◽

Structural Equation ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

System Use ◽

Acceptance Model ◽

Behavioral Intention To Use

ABSTRAK Sistem informasi dan Teknologi informasi berkembang dengan sangat pesat dan berdampak signifikan terhadap segala bidang. Pemanfaatan teknologi informasi tidak hanya pada pemanfaatan sektor bisnis, tetapi juga sektor publik yang salah satunya adalah lembaga perguruan tinggi. Efisiensi dan efektifitas proses informasi dengan menggunakan sistem informasi hanya akan terjadi apabila teknologi tersebut diterima oleh individu dalam organisasi. Tesis ini merupakan hasil riset yang akan membahas mengetahui faktor – faktor apa yang sajakah yang mempengaruhi penerimaan dosen, mahasiswa dan staf akademik dalam menggunakan Sistem Informasi Akademik STIKes Harapan Bangsa. Sejumlah 200 responden ikut berpartisipasi dalam penelitian ini. Adapun model adopsi teknologi yang digunakan adalah model Technolgy Acceptance Model. Selain menguji variabel, penelitian ini juga menguji apakah teori TAM dapat digunakan untuk mengetahui penerimaan pengguna SIAK-SHB di Stikes Harapan Bangsa. Analisis data dilakukan dengan pendekatan Structural Equation Modeling. Berdasarkan hasil dari analisis diperoleh kesimpulan bahwa Actual System Use dipengaruhi oleh Behavioral Intention to Use, Behavioral Intention to Use dipengaruhi oleh Perceived Usefulness dan Perceived Usefulness dipengaruhi oleh Perceived Easy of Use.Kata Kunci :Technolgy Acceptance Model, Structural Equation Modeling, Penerimaan Pengguna Sistem Informasi Akademik

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A Model for Medical Students’ Behavioral Intention to Use Mobile Learning

Journal of Medical Education and Curricular Development ◽

10.1177/2382120520973222 ◽

2020 ◽

Vol 7 ◽

pp. 238212052097322

Author(s):

Sevda Kucuk ◽

Ozlem Baydas Onlu ◽

Samet Kapakin

Keyword(s):

Medical Education ◽

Medical Students ◽

Mobile Devices ◽

Mobile Learning ◽

Behavioral Intention ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Proposed Model ◽

Behavioral Intention To Use

The use of mobile devices that have high technical capabilities has increased in the last years. These devices are appropriate instructional tools reflecting the trends in modern education by providing instant access to information that is used with mobile learning purposes. As is in many areas of education, m-learning has been becoming widespread in medical education. Therefore, medical students’ readiness for m-learning is highly important. This study aims to investigate how medical students’ beliefs influence their behavioral intention to use mobile devices for learning purposes. The 376 medical students (222 juniors, 154 sophomores; aged between 18 and 24 years; 214 males, 162 females) participated in this study. All participants had mobile devices. Data were collected through a survey. Structural equation modeling was used to analyze the findings. The proposed model, which is created based on the theory of planned behavior, was tested in the study. Based on the findings, the medical students’ perceived ease of use, perceived usefulness, learning autonomy, intention to use, perceived self-efficacy toward mobile devices, and m-learning are found to be high level. However, according to medical students, instructors’ readiness to apply m-learning has been found to be low level. The findings showed that the proposed model explains medical students’ behavioral intention to use m-learning reasonably well. The behavioral intention is explained with a variance of 76% in the model. Subjective norm is the main indicator of behavioral intention, followed by perceived behavioral control and attitude. The proposed model in the study could be useful to design m-learning applications, environments, and implementation plans effectively in medical education.

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Ride on Conveniently!

International Journal of E-Adoption ◽

10.4018/ijea.2021070102 ◽

2021 ◽

Vol 13 (2) ◽

pp. 19-35

Author(s):

Noman Hasan ◽

Abdul Gaffar Khan ◽

Mohammad Awal Hossen ◽

Ariful Islam

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Sharing Economy ◽

Partial Least Square ◽

Least Square ◽

Equation Modeling ◽

Intention To Use ◽

It Adoption ◽

Ride Sharing ◽

Behavioral Intention To Use

This study investigates the passengers' adoption of a ride-sharing service app (UBER) in Bangladesh. This study employed the most widely used and cited IT adoption model, The Unified Theory of Acceptance and Use of Technology-2 (UTAUT2), as the theoretical framework to examine the passengers' adoption of the popular sharing economy tools ride-sharing service applications (i.e., Uber). This study adds a new construct, safety, in the UTAUT2 model. Data were obtained from 206 participants which were analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that performance expectancy, effort expectancy, social influence, hedonic motivation, and facilitating conditions are the most significant determinant factors of behavioral intention to use the Uber app. In contrast, behavioral intention to use the Uber app is not significantly influenced by price value and safety. Additionally, the theoretical and practical implications of these results are discussed, which elicits the importance for business managers, marketers, and policymakers on sharing economy platforms.

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Behavioral Intention to Use IoT Technology in Healthcare Settings

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.3063 ◽

2019 ◽

Vol 9 (5) ◽

pp. 4769-4774 ◽

Cited By ~ 1

Author(s):

M. H. Alanazi ◽

B. Soh

Keyword(s):

Technology Acceptance ◽

Behavioral Intention ◽

Structural Equation ◽

Healthcare Setting ◽

Partial Least Square ◽

Perceived Usefulness ◽

Least Square ◽

Equation Modeling ◽

Intention To Use ◽

Behavioral Intention To Use

Rapid scaling of using the Internet of Things (IoT) technology has been seen recently in numerous applications in healthcare to deliver proper services. This was motivated by the declining size and cost of the employed IoT devices. Developing such technology has been well investigated in the literature; however, few studies have explored the factors influencing its adaptation in the healthcare setting. In this study, we investigate the core factors that influence the acceptance of using IoT for Healthcare Purposes in the Kingdom of Saudi Arabia (KSA). Accordingly, a theoretical framework, based on the Technology Acceptance Model (TAM), was developed and tested empirically. The modified model added variables that provide a better explanation of the acceptance of healthcare technology. To ground our conceptual idea, a survey was designed and performed on 407 patients (207 males, 200 females). The Partial Least Square Structural Equation Modeling (SEM) technique was applied to analyze the effect of eight hypothesized predicting constructs on the collected data. Results revealed that cost, privacy concerns, and perceived usefulness were the most significant predictors of behavioral intention to use. However, attitude and perceived connectedness were found to be irrelevant in predicting the intention to use IoT. Ultimately, results found that there is no correlation between gender and behavioral intention.

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