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

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

BMC Medical Education ◽

10.1186/s12909-020-02302-2 ◽

2020 ◽

Vol 20 (1) ◽

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 ◽

Factors Affecting ◽

Behavioral Intention To Use

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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An empirical examination of Instagram as an s-commerce channel

Journal of Advances in Management Research ◽

10.1108/jamr-05-2017-0057 ◽

2018 ◽

Vol 15 (2) ◽

pp. 146-160 ◽

Cited By ~ 4

Author(s):

Salma Abed

Keyword(s):

Saudi Arabia ◽

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Social Commerce ◽

Empirical Examination ◽

Content Type ◽

Factors Affecting ◽

Use Of Technology ◽

Facilitating Conditions

Purpose The purpose of this paper is to review the literature and empirically examine a theory-based model in the context of social commerce (s-commerce). The study examined the popular photo-sharing platform “Instagram” to determine the value of s-commerce and its acceptance by customers. Design/methodology/approach Using the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, the researcher examined the proposed research model and related hypotheses. A survey questionnaire of 441 Instagram users in Saudi Arabia was collected and analyzed using structural equation modeling. Findings The results revealed that social influence and trust are the most significant factors affecting behavioral intention. In contrast, the effect of facilitating conditions on behavioral intention was found to be not significant. Originality/value Very limited empirical research has been conducted in the context of s-commerce in the Arab region generally and in Saudi Arabia specifically. The findings of the present study will provide guidance that could be put into action for marketers and professionals in Saudi Arabia.

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Factors Influencing Repurchase Intention in Drive-Through Fast Food: A Structural Equation Modeling Approach

Foods ◽

10.3390/foods10061205 ◽

2021 ◽

Vol 10 (6) ◽

pp. 1205

Author(s):

Yogi Tri Prasetyo ◽

Allysa Mae Castillo ◽

Louie John Salonga ◽

John Allen Sia ◽

Thanatorn Chuenyindee ◽

...

Keyword(s):

Structural Equation Modeling ◽

Indirect Effect ◽

Fast Food ◽

Structural Equation ◽

The Philippines ◽

Equation Modeling ◽

Repurchase Intention ◽

Online Questionnaire ◽

Fast Food Industry ◽

Factors Influencing

The drive-through fast-food industry has been one of the fastest businesses growing over the past decades in developing countries, including the Philippines. The purpose of this study was to evaluate factors influencing costumers’ repurchase intention in a drive-through fast food in the Philippines by utilizing the structural equation modeling (SEM) approach. A total of 305 Filipinos answered the online questionnaire, which contained 38 questions. The results of SEM indicated that subjective appetite (SA) was found to have a significant direct effect on menu options (MO). Consequently, MO was found to have significant direct effects on imagery elaboration (IE), vividness (VV), and convenience (CO), and an indirect effect on order accuracy (OA). Finally, SA, MO, IE, VV, OA, and CO were found to have significant effects on satisfaction (S), which subsequently led to loyalty (L) and repurchase intention (RI). Interestingly, MO was found to have the highest indirect effect on RI, indicating that MO is an important consideration for RI. This is the first comprehensive study evaluating drive-through fast food in the Philippines. The causal relationships of the present study can be applied and extended to evaluate the repurchase intention of drive-through fast food in other countries.

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The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2018100106 ◽

2018 ◽

Vol 9 (4) ◽

pp. 86-104

Author(s):

Frederick Pobee ◽

Daniel Opoku

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Moderating Effects ◽

Performance Expectancy ◽

Adoption Factors ◽

Use Of Technology ◽

Effort Expectancy ◽

Actual Use ◽

Facilitating Conditions

The purpose of this article was to investigate the moderating effects of gender on e-commerce systems adoption factors among university lecturers in Ghana. In order to achieve this purpose, the unified theory of acceptance and use of technology (UTAUT) was used as the theoretical lens for the study. Eight hypotheses were developed and tested. Data analysis was performed with a structural equation modeling (SEM) technique using SmartPLS Application. Using a survey of 223 respondents, the study showed that factors such as performance expectancy, effort expectancy, and facilitating conditions positively and significantly influenced Ghanaian lecturers' behavioral intention and ultimately the actual use of e-commerce systems. As for the moderating effects of gender, this study discovered that gender insignificantly moderated the effects of performance expectancy, effort expectancy and social influence on behavioral intention.

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End-Users’ Acceptance of Biometrics Authentication to Secure E-Commerce within the Context of Saudi Culture

IT Policy and Ethics ◽

10.4018/978-1-4666-2919-6.ch061 ◽

2013 ◽

pp. 1356-1376

Author(s):

Fahad AL Harby ◽

Rami Qahwaji ◽

Mumtaz Kamala

Keyword(s):

Structural Equation ◽

Large Scale ◽

Sem Analysis ◽

Equation Modeling ◽

Factors Affecting ◽

Moderating Variables ◽

Use Of Technology ◽

Moderating Factors ◽

Education Levels ◽

Scale Experiment

This book study presents recent findings from an ongoing cross-cultural study exploring the acceptance of a new security method based on biometrics authentication systems to be applied to an e-commerce application within the context of Saudi culture. The aim of the study was to explore factors affecting users’ acceptance of biometrics authentication system. The authors conducted a large scale experiment of 306 Saudis using a login fingerprint system and examined a proposed conceptual framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with moderating variables. The findings from Structural Equation Modeling (SEM) analysis indicate that education levels are significant moderating factors, while gender and age do not record as significant. The findings of this study propose the need to take cultural background and disposition into consideration when applying biometrics technology.

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Factors influencing the adoption of crowdfunding in Bangladesh: a study of start-up entrepreneurs

Information Development ◽

10.1177/0266666919895554 ◽

2019 ◽

pp. 026666691989555

Author(s):

Mohammad Tariqul Islam ◽

Muhammad Tahir Abbas Khan

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Perceived Trust ◽

Intention To Adopt ◽

Use Of Technology ◽

Start Up ◽

Actual Use ◽

Facilitating Conditions ◽

Use Behavior

Despite widespread adoption of crowdfunding for funding social donation projects, its adoption among start-up entrepreneurs is significantly low, in developing countries in particular. Research has been performed to investigate the crowdfunding adoption intention of start-up entrepreneurs in Bangladesh. This study aimed to identify the motivation behind the intentions of the entrepreneurs to adopt crowdfunding, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model with extensions. Empirical data were collected from 317 respondents and analyzed using Partial Least Squares-based Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions and perceived trust mpact significantly ion the entrepreneurs’ behavioral intention to adopt crowdfunding. In contrast, trialability and perceived trust were not found to be significant determinants. However, trialability has a significant positive relation with use behavior or actual use, whereas no significant relationship has been identified between behavioral intention and use behavior.

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Factors Affecting Caregivers’ Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model

American Journal of Alzheimer s Disease & Other Dementias® ◽

10.1177/1533317519883493 ◽

2019 ◽

Vol 35 ◽

pp. 153331751988349 ◽

Cited By ~ 3

Author(s):

Baozhen Dai ◽

Ebenezer Larnyo ◽

Ebenezer Ababio Tetteh ◽

Abigail Konadu Aboagye ◽

Abdul-Aziz Ibn Musah

Keyword(s):

Structural Equation ◽

Resistance To Change ◽

Wearable Devices ◽

Sub Saharan Africa ◽

Equation Modeling ◽

P Value ◽

Extended Model ◽

Unified Theory ◽

Factors Affecting ◽

Use Of Technology

Purpose: This study aims to examine the factors affecting caregivers’ acceptance of the use of wearable devices by patients with dementia by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model with 2 additional constructs: resistance to change (RC) and technology anxiety (TA). Methods: A structured online questionnaire was developed and distributed to caregivers who have either dealt previously with or were currently taking care of patients with dementia in sub-Saharan Africa. The selection of countries for the study was purely based on the availability of caregivers of patients with dementia and their readiness to take part in the survey. Questionnaire data from 350 respondents were analyzed and the hypothesis tested using partial least squares based on structural equation modeling. Result: The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P < .05, thus were statistically significant in explaining the perceived BI and actual use of health-care wearable devices among patients with dementia as reported by caregivers. However, P value for RC and TA was greater than .05, hence were insignificant.

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A Comparative Study of Users versus Non-Users’ Behavioral Intention towards M-Banking Apps’ Adoption

Information ◽

10.3390/info13010030 ◽

2022 ◽

Vol 13 (1) ◽

pp. 30

Author(s):

Vaggelis Saprikis ◽

Giorgos Avlogiaris ◽

Androniki Katarachia

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Banking Sector ◽

Value Added ◽

Business Strategies ◽

Equation Modeling ◽

Information And Communications Technologies ◽

Use Of Technology ◽

Financial Transactions ◽

The Impact

The banking sector has been considered as one of the primary adopters of Information and Communications Technologies. Especially during the last years, they have invested a lot into the digital transformation of their business process. Concerning their retail customers, banks realized very early the great potential abilities to provide value added self-services functions via mobile devices, mainly smartphones to them; thus, they have invested a lot into m-banking apps’ functionality. Furthermore, the COVID-19 pandemic has brought out different ways for financial transactions and even more mobile users have taken advantage of m-banking app services. Thus, the purpose of this empirical paper is to investigate the determinants that impact individuals on adopting or not m-banking apps. Specifically, it examines two groups of individuals, users (adopters) and non-users (non-adopters) of m-banking apps, and aims to reveal if there are differences and similarities between the factors that impact them on adopting or not this type of m-banking services. To our knowledge, this is the second scientific attempt where these two groups of individuals have been compared on this topic. The paper proposes a comprehensive conceptual model by extending Venkatech’s et al. (2003) Unified Theory of Acceptance and Use of Technology (UTAUT) with ICT facilitators (i.e., reward and security) and ICT inhibitors (i.e., risk and anxiety), as well as the recommendation factor. However, this study intends to fill the research gap by investigating and proving for the first time the impact of social influence, reward and anxiety factors on behavioral intention, the relationship between risk and anxiety and the impact of behavioral intention on recommendation via the application of Confirmatory Factor Analysis and Structural Equation Modeling (SEM) statistical techniques. The results reveal a number of differences regarding the factors that impact or not these two groups towards m-banking app adoption; thus, it provides new insights regarding m-banking app adoption in a slightly examined scientific field. Thus, the study intends to assist the banking sector in better understanding their customers with the aim to formulate and apply customized m-business strategies and increase not only the adoption of m-banking apps but also the level of their further use.

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The Moderating Effects of Gender on E-Commerce Systems Adoption Factors

Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business ◽

10.4018/978-1-7998-8957-1.ch017 ◽

2021 ◽

pp. 319-340

Author(s):

Frederick Pobee ◽

Daniel Opoku

Keyword(s):

Behavioral Intention ◽

Structural Equation ◽

Equation Modeling ◽

Moderating Effects ◽

Performance Expectancy ◽

Adoption Factors ◽

Use Of Technology ◽

Effort Expectancy ◽

Actual Use ◽

Facilitating Conditions

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Student's Intentions to Use M-Learning: An Empirical Perspective from the Philippines

Business and Economic Research ◽

10.5296/ber.v8i1.12305 ◽

2017 ◽

Vol 8 (1) ◽

pp. 68

Author(s):

Ace Bombaes

Keyword(s):

Structural Equation ◽

Positive Impact ◽

Research Paper ◽

The Philippines ◽

Ease Of Use ◽

Equation Modeling ◽

Education Students ◽

Teaching Methodologies ◽

Use Of Technology ◽

Empirical Perspective

M-learning is the future modern way of learning; so it is important for the students to keep pace with changing technology and time. M-learning has a key position in the development of new teaching methodologies for higher education students. Learning through M-technology is free of limitation; the student can access the knowledge and information at any time and any place. This research paper measures the intention of students to learn from modern and innovative method that is M-technology. For this research paper data is collected from Filipino tertiary students to perform statistical analysis i.e. structural Equation modeling (SEM) using AMOS-21. Results indicate that student's innovative behavior, lecturer influence, usefulness and ease of use of technology has positive impact on student's intention towards M-learning.

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