Behavioral intention of “digital natives” toward adapting the online education system in higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudin Bag ◽  
Payel Aich ◽  
Md. Aminul Islam
Keyword(s):  
Higher Education ◽  
Online Education ◽  
Technology Acceptance ◽  
Education System ◽  
Behavioral Intention ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Examination System ◽  
Content Type

PurposeThe aim of the study is to examine the intention of students toward the online education system with emphasis on online examination in higher education. The study investigated different constructs that have an influence on the use of the online platform for learning to the specific domain that mitigates the personal needs of the learners outside the physical class boundaries.Design/methodology/approachData were collected through a self-administered structured questionnaire in a single cross-sectional survey from 430 students of higher educational institutions in India. The partial least square approach was used for path modeling to examine the relationships in the proposed research model using Smart PLS-3.3.2.FindingsAttitude, ease of use and usefulness have a significant relationship with the behavioral intention to use the online education system. However, nature of residential status, use of devices and use of network have an insignificant impact on the intention to use the online educational system.Research limitations/implicationsThough the study focused on the technology acceptance model (TAM) to examine the relationship in the proposed model, there is a need to consider the other constructs such as perceived behavioral control, past experience, etc. in future studies.Originality/valueThis paper identified the major determinants of students' intention to adapt to the online education system with special reference to the examination system and proposed a direction to encourage the higher education students to use online education as an alternate of physical classroom education.

scholarly journals ANALISIS PENERIMAAN APLIKASI PEMBELAJARAN ONLINE MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL 3 DAN PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODEL (PLS-SEM)

Factor M ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 161-172
Author(s):  
Noer Hidayah ◽  
Jerhi Wahyu Fernanda
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Behavioral Intention To Use

Penelitian ini bertujuaan untuk meneliti faktor-faktor yang berpengaruh terhadap penerimaan aplikasi pembelajaran online Google classroom (GC) dalam pembelajaran online. Model konseptual untuk menilai penerimaan terhadap suatu teknologi menggunakan model  Technology acceptance model (TAM) 3. TAM 3 merupakan pengembangan dari model TAM dengan menambahkan dimensi Perceived Ease of Use yang dapat digunakan untuk memprediksi, dan menjelaskan perilaku yang mendorong penggunaan teknologi yang selalu mengalami perkembangan. Analisis statistika yang digunakan adalah Partial Least Square Structural Equation Model. Data yang didapatkan adalah data primer yang didapatkan dari kuesioner yang disebar melalui google form. Sampel dalam penelitian ini berjumlah 150. Penelitian ini menggunakan teknik simpel random sampling dengan kriteria yang harus dipenuhi. Variabel terdiri dari 4 variabel latent yaitu Perceived Ease of Use, Perceived Usefulness, Behavioral Intention to Use dan Actual System Use. Skala pengukuran menggunakan skala likert 5 kategori. Hasil analisis statistika didapatkan kesimpulan variabel Perceived Ease of Use berpengaruh signifikan terhadap Perceived Usefulness  dan Behavioral Intention to Use,  Perceived Usefulness memiliki pengaruh yang signifikan terhadap terhadap Behavioral Intention to Use dan Behavioral Intention to Use berpengaruh signifikan terhadap Actual System Use.  

scholarly journals Behavioral Intention to Use IoT Technology in Healthcare Settings

2019 ◽  
Vol 9 (5) ◽  
pp. 4769-4774 ◽  
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.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

Malaysian SMEs m-commerce adoption: TAM 3, UTAUT 2 and TOE approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Olanrewaju Kareem ◽  
Sany Sanuri Mohd Mokhtar ◽  
Olayemi Abdullateef Aliyu ◽  
Jibril Adewale Bamgbade ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Sample Size ◽  
Online Survey ◽  
Computer Anxiety ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Universal Theory ◽  
Content Type ◽  
Environment Model

Purpose The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs. Design/methodology/approach To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling. Findings The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant. Research limitations/implications This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce. Originality/value The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

A new insight into alumni satisfaction model for Islamic higher education institutions (IHEI)

2018 ◽  
Vol 41 (12) ◽  
pp. 1411-1437 ◽  
Author(s):  
Abdur Rafik ◽  
Anjar Priyono
Keyword(s):  
Higher Education ◽  
Service Quality ◽  
Structural Equation ◽  
Higher Education Institutions ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Matrix Analysis ◽  
Content Type ◽  
Satisfaction Model

Purpose The purpose of this study is to explore and decompose a satisfaction model using alumni’s perspective for Islamic-based higher education institutions (IHEI) with the antecedent of perceived quality and value and the consequence of loyalty. Design/methodology/approach A study was used, using 44-item, a ten-point Likert-scale questionnaire administered to 360 alumni from various classes started from the 1970s till 2000s. Theoretical-based, national qualification framework of Indonesian higher education and management-based considerations were involved in developing a survey. Data were analyzed using partial least square-structural equation model and decomposed into strategic management map using importance-performance matrix analysis. Findings The most important determinants of alumni satisfaction and loyalty in IHEI is the IHEI’s ability to develop career capability through enriching knowledge. Moreover, the presence of good environment and Islamic value embodiment supporting learning programs on campus is the most significant trigger for the knowledge development. Research limitations/implications The results were generated from a specific department. Additional studies are needed to test if the results are not department (institution)-specific. Practical implications This study provides strategic directions for management to improve the critical aspects of the system by providing the inputs to the extent to which the service quality delivered may contribute to end-customers’ satisfaction. Originality/value It contributes to the literature on satisfaction and service quality issues by incorporating ideological aspect, by investigating the feasible model of customer satisfaction in the perspective of alumni for IHEI.

Behavioral Intention of Using Social Networking Site

2017 ◽  
Vol 13 (1) ◽  
pp. 61-81 ◽  
Author(s):  
Shu-Hui Chuang ◽  
Shinyi Lin ◽  
Tin-Chang Chang ◽  
Rattikorn Kaewmeesri
Keyword(s):  
Social Networking ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Social Networking Site ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Human Interaction ◽  
Perceived Ease Of Use

Although major contributions are being made by Social Networking Sites (SNS) in communications and e-commerce, very little attention has been given to its implementation. This study contributes to technology and human interaction domain by (1) extending the technology acceptance model (TAM), personality trait and telepresence in developing a comparative mode based on the behavioral intention, (2) testing the model with Partial Least Square (PLS) using Facebook user's data; and (3) comparing result across a developed (Taiwan) and an emerging (Thailand) economy. Results indicate TAM was to fit to test the behavioral intention model in these two economies. The findings support for the telepresence, perceived usefulness, and perceived ease of use, attitude and behavioral intention; however, the effect levels are different in these two countries (Taiwan vs. Thailand). In addition, only extraversion, conscientiousness, agreeableness, and neuroticism of the big-five personality have been discussed.

scholarly journals Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities

2019 ◽  
Vol 16 (18) ◽  
pp. 3348 ◽  
Author(s):  
Ira Puspitasari ◽  
Alia Firdauzy
Keyword(s):  
Social Media ◽  
Consumer Behavior ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Healthcare Management ◽  
Partial Least Square ◽  
Least Square ◽  
Intention To Use ◽  
Healthcare Needs ◽  
Health Related

The emergence of e-patients has encouraged consumers, people who are non-medical experts, to be more engaged in healthcare needs by utilizing online sources via social media. However, the nature of social media and regulation issues have caused concerns for the reliability and validity of the shared information. These phenomena shape consumers behavior in leveraging social media for e-patient activities. This study investigates consumer behavior using an integrated model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Protection Motivation Theory (PMT). The data collected from the participants (N = 312) was analyzed using partial least square structural equation modelling. The results showed that behavioral intention to use social media for e-patient activities was significantly affected by performance expectancy, effort expectancy, perceived severity, perceived susceptibility, and response efficacy; and that behavioral intention corresponded positively to usage intention. In addition, the results also indicate that the intention to use social media for health-related purposes is driven by awareness of preventing health problems and attempts to reduce the risk of developing an illness. Based on findings, this study recommends strategies and initiatives to optimize social media for promoting a healthy lifestyle and educating society about public health and healthcare management.

Predictors for the adoption of e-democracy: an empirical evaluation based on a citizen-centric approach

2020 ◽  
Vol 14 (3) ◽  
pp. 523-544 ◽  
Author(s):  
Omar Hujran ◽  
Emad Abu-Shanab ◽  
Ali Aljaafreh
Keyword(s):  
Technology Acceptance ◽  
Empirical Evaluation ◽  
Small Sample ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Content Type

Purpose This study aims to explore the factors influencing the intention to use e-democracy. The literature depicted conflicting results regarding such domain and especially in the Middle East, where the authors aim at establishing a solid view of the discipline. Design/methodology/approach A research model was developed based on the theory of planned behavior, technology acceptance model and unified theory for acceptance and use of technology-2. The model hypothesized that perceived public value (PPV), ease of use and enjoyment are major antecedents of attitudes, and subjective norms (SNs), perceived behavioral control (PBC) and attitudes are significant predictors of behavioral intentions. A quantitative cross-sectional design was used. A questionnaire was used to explore Jordanian citizens’ perceptions regarding the research model constructs. A sample of 302 Jordanian citizens filled the surveys based on their awareness of e-democracy concepts and their willingness to participate in the study. This study uses the structural equation modeling approach with partial least square as an analysis method. Findings Findings indicated that PPV, perceived ease of use and enjoyment jointly determine the attitudes of citizens toward e-democracy. Results also suggest that attitudes, PBC and SNs have a significant effect on citizen’s intention to use e-democracy. Finally, this research supported the role of enjoyment as the most significant determinant of citizen’s attitude toward using e-democracy. Research limitations/implications This study is limited by its small sample size and newly developed Arabic instrument. Still, results imply that more research is needed to replicate and validate the instrument and support the role of the selected research constructs. Public institutions are required to make e-democracy applications enjoyable and easy to use. They also need to demonstrate its value to the public. Originality/value To the best of the authors’ knowledge, this study is one of the few studies to explore e-democracy and the first to conduct an empirical study (survey-based) in Jordan. The foundation of the study depended on three robust theories in the technology adoption theories.

scholarly journals Factors Influencing Pre-service Teachers’ Satisfaction and Intention to Use the Internet: A Structural Equation Modeling

2021 ◽  
Vol 15 (02) ◽  
pp. 110
Author(s):  
Ali Sadikin ◽  
Akhmad Habibi ◽  
Erick Sanjaya ◽  
Dwi Candra Setiawan ◽  
Try Susanti ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
The Internet ◽  
Intention To Use ◽  
Factors Influencing

<p>In the age of digital era where the Internet is playing an important and dominant role, the concern of the higher education to ensure that the Internet within the reach of the students is very important. However, little research has been reported to indicate the success of the concern in Indonesia. Therefore, This study was conducted to assess factors influencing Indonesian PSTs’ satisfaction (ST) and intention to use (IU) the Internet for learning through technology acceptance model (TAM). Data was gathered from a total of 596 pre-service teachers (PSTs) from five universities in Indonesia. The measurement and assessment of the model were developed through a partial least square structural equation modeling (PLS-SEM). The results informed that Indonesian PSTs’ ST was strongly influenced by perceived ease of use (PEU) and IU. Besides, PSTs’ IU was predicted by Attitude (AT), PU and PEU.<em> </em></p>

scholarly journals The Perception and Usage of Google Drive among Higher Education Institution Students in Brunei Darussalam.

2021 ◽  
Vol 12 (3) ◽  
pp. 0-0
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Higher Education Institutions ◽  
Education Institution ◽  
Intention To Use ◽  
Brunei Darussalam ◽  
Google Drive ◽  
Behavioral Intention To Use

Recently cloud computing services have been adopted by many people and organizations. Google Drive is one of the cloud computing platforms that has gained popularity among students in higher education institutions. This study examines the perceptions and the current usage of Google Drive among students in higher education institutions in Brunei Darussalam. The study adopted the Technology Acceptance Model (TAM) and two additional factors namely perceived speed of access (PSA) and perceived security (PS). The primary objectives of this research are to explore the factors affecting the usage of Google Drive by the students in higher education institutions in Brunei, to investigate the perceptions of the students on the use of Google Drive and to find whether attitude influences the behavioral intention to use Google Drive among the students. The findings of this study connote that the students’ perceptions on Google Drive have a significant influence towards their attitude to use Google Drive which in turn influence their behavioral intention to use Google Drive in the future.

Sign in / Sign up

Export Citation Format

Share Document