Investigating the Factors Influencing Pre-Service Teachers' Acceptance to Use Mobile Devices for Learning

2020 ◽  
pp. 183-208
Author(s):  
Georgios K. Zacharis
Keyword(s):  
Data Collection ◽  
University Students ◽  
Social Influence ◽  
Mobile Devices ◽  
Behavioral Intention ◽  
Study Results ◽  
Data Collection Instrument ◽  
Faculty Of Education ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

This chapter determines the factors that significantly influence pre-service teachers' acceptance to use mobile devices as resources for learning in a university context. Based on the methodological framework of the UTAUT, a modified contextualized model of evaluation was created. A data collection instrument was designed, validated contextually, and optimized for mobile learning in higher education. A total of 320 Greek university students from a Faculty of Education participated in the study. Results demonstrated that the instrument constructed showed a notable internal consistency, with a high validity for data collection in 8 of its 9 factors. Results indicated Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, and Empowerment in Learning as factors which affected participants' Behavioral Intention to use mobile technology for learning. Behavioral Intention, Social Influence and Empowerment in Learning affected university students' behavior to use mobile devices for learning.

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

2019 ◽  
Vol 58 (2) ◽  
pp. 433-458 ◽  
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.

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

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.

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

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.

scholarly journals An Empirical Investigation into Examination of Factors Influencing University Students’ Behavior towards Elearning Acceptance Using SEM Approach

2020 ◽  
Vol 14 (02) ◽  
pp. 19 ◽  
Author(s):  
Barween Al Kurdi ◽  
Muhammad Alshurideh ◽  
Said A. Salloum ◽  
Zaid Mohammad Obeidat ◽  
Rami Mohammad Al-dweeri
Keyword(s):  
University Students ◽  
Social Influence ◽  
Behavioral Intention ◽  
Computer Anxiety ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
E Learning ◽  
Behavioral Intention To Use

<p class="0abstract">There are several reasons why most of the universities implement E-learning. The extent of E-learning programs is being offered by the higher educational institutes in the UAE are evidently expanding. However, very few studies have been carried out to validate the process of how E-learning is being accepted and employed by university students. The study involved a sample of 365 university students. To describe the acceptance process, the Structural Equation Modeling (SEM) method was used. On the basis of the technology acceptance model (TAM), the standard structural model that involved E-learning Computer Self-Efficacy, Social Influence, Enjoyment, System Interactivity, Computer Anxiety, Technical support, Perceived Usefulness, Perceived Ease of Use, Attitude, and Behavioral Intention to Use e-learning, was developed. The findings showed that TAM served as a suitable theoretical tool to comprehend the acceptance of e-learning by users. The most critical construct to explain the causal process employed in the model was E-learning Computer Self-Efficacy, Social Influence, Enjoyment, System Interactivity, Computer Anxiety, Technical support, Perceived Usefulness, Perceived Ease of Use, Attitude, followed by Behavioral Intention to Use e-learning. Practical implications are offered by the outcomes for decision makers, professionals and developers in how effective E-learning systems can be implemented properly.</p>

scholarly journals Investigating Effort Expectancy and Facilitating Conditions Affecting Behavioral Intention to Use Mobile Learning

2020 ◽  
Vol 55 (5) ◽  
Author(s):  
Nahla Aljojo ◽  
Bashair Alsuhaimi
Keyword(s):  
University Students ◽  
Mobile Learning ◽  
Behavioral Intention ◽  
Quantitative Research ◽  
Rapid Change ◽  
Intention To Use ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use ◽  
The Impact

The availability of internet access has created a rapid change in learning. This paper aims to investigate the impact of effort expectancy and facilitating conditions on behavioral intention to use mobile learning for Taibah University students in Saudi Arabia by using the unified theory of acceptance and use of technology model. Quantitative research methodology is used, so that the research-proposed formulated hypothesis will be tested. A sample of 110 Taibah University students was drawn. A survey questionnaire was designed for data collections to measure the impact of effort expectancy and facilitating conditions on behavioral intention to use mobile learning for Taibah University students. The independent variables of the research model are effort expectancy and facilitating conditions. The dependent variable is behavioral intention to use. The data was analyzed using statistical techniques, including reliability, validity, and regression analysis. The results indicate that effort expectancy and facilitating conditions were significant and directly influenced students' behavioral intention to use mobile learning.

scholarly journals An Empirical Examination of Factors Influencing the Behavioral Intention to Use Zakat-Based Crowdfunding Platform Model for Countering the Adverse Impact of COVID-19 on MSMEs in Indonesia

2020 ◽  
pp. 203-218
Author(s):  
Sulaeman Sulaeman ◽  
Sri Yayu Ninglasari
Keyword(s):  
Behavioral Intention ◽  
Online Survey ◽  
Adverse Impact ◽  
Primary Data ◽  
Empirical Examination ◽  
Factors Influencing ◽  
Use Of Technology ◽  
The Government ◽  
Facilitating Conditions ◽  
Behavioral Intention To Use

ABSTRACT This study aims to examine the behavioral intention of the Muslim crowd funders to use the Zakat-based crowdfunding platform model by adopting the concept of the Unified Theory of Acceptance and Use of Technology (UTAUT) Model. The platform model, as an intermediary between Muslim crowd funders and MSMEs, provides financing services for MSMEs to fight any kind of situation/pandemic like COVID-19 nowadays. This study used the primary data that is collected by using the online survey questionnaires, and then the analysis is conducted using partial least squares (PLS) regression. The empirical study shows that all the variables except for facilitating conditions have a significant positive effect on the intention of Muslim crowd funders to use the Zakat-based crowdfunding platform model. The present study will help the government and policymakers to plan appropriate intervention strategies to minimize the adverse impact of the COVID-19 pandemic on MSMEs in Indonesia. Furthermore, the study will contribute to the existing literature especially on the factors influencing the adoption of the Zakat-based crowdfunding platform model.

scholarly journals Analisis Penerimaan dan Penggunaan Aplikasi Gojek Menggunakan Model UTAUT

2020 ◽  
Vol 1 (1) ◽  
pp. 85-95
Author(s):  
Nadiyah Hidayati ◽  
Yudi Ramdhani
Keyword(s):  
Data Processing ◽  
Social Influence ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Strong Relationship ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Data Processing Method ◽  
Effort Expectancy ◽  
Facilitating Conditions

Abstrak Objektif. Aplikasi Gojek merupakan aplikasi berbasis android yang menjadi pintu masuk bagi pelanggan untuk mendapatkan layanan yang disediakan PT Gojek Indonesia. Penelitian ini dilakukan untuk menganalisa faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi Gojek menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT) dengan 4 variabel bebas dan 1 variabel terikat yaitu ekspektasi kinerja, ekspektasi usaha, faktor sosial, kondisi-kondisi pemfasilitasi, dan niat perilaku. Penelitian ini dilakukan terhadap 100 responden pengguna aplikasi Gojek  pada SMK MVP Ars Internasional. Material and Metode. Model UTAUT digunakan untuk mengetahui tingkat keberhasilan penerimaan aplikasi Gojek agar dapat diterima oleh masyarakat. Metode pengolahan data yang digunakan adalah regresi linear berganda yang menggunakan software SPSS 22. Hasil. Dari pengolahan data tersebut didapatkan hasil bahwa variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial dan kondisi-kondisi pemfasilitasi memiliki nilai korelasi sebesar 0,867 terhadap niat perilaku, artinya antara variabel independen dan dependen dalam penelitian ini memiliki hubungan yang sangat kuat, nilai R Square (R2) sebesar 75,2% sedangkan sisanya dipengaruhi variabel lain. Kesimpulan. Dengan demikian dapat disimpulkan bahwa secara simultan, variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial, dan kondisi-kondisi pemfasilitasi berpengaruh secara positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan secara parsial, hanya variabel ekspektasi kinerja dan faktor sosial yang memiliki pengaruh positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan variabel ekspektasi usaha dan kondisi-kondisi pemfasilitasi tidak memiliki pengaruh positif dan signifikan terhadap niat perilaku dalam menggunakan aplikasi Gojek. Abstrack Objective. Gojek application is an android-based application that is the entrance for customers to get the services provided PT Gojek Indonesia. This study was conducted to analyze the factors that influence the acceptance of Gojek applications using the UTAU) method with 4 independent variables and 1 dependent variable namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Behavioral Intention. This research was conducted on 100 respondents of the Gojek application SMK MVP Ars International. Materials and Methods. The UTAUT model is used to determine the level of success in accepting Gojek applications to be accepted by the community. The data processing method used is multiple linear regression using SPSS 22 software. Results From the data processing, the results show that the variables of performance expectancy, effort expectancy, social influence, and facilitating conditions have a correlation value of 0,867 to behavioral intention, meaning between independent and dependent variables in this study has a strong relationship, the value of R Square (R2) of 75,2% while the rest is influenced by other variables. Conclusion. Thus it can be concluded that simultaneously, the variable performance expectancy, effort expectancy, social influence, and facilitating conditions positively and significantly affect the behavioral intention of Gojek applications. While partially, only the performance expectancy and social influence variables that have a positive and significant influence on the behavioral intention of Gojek application. While the effort expectancy and facilitating conditions variable does not have a positive and significant influence on Behavioral Intentionin using the Gojek application.

scholarly journals ANALISIS PENERIMAAN PENGGUNA SISTEM INFORMASI PERPUSTAKAAN DAN ARSIP DAERAH KABUPATEN BULELENG MENGGUNAKAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT)

2019 ◽  
Vol 8 (2) ◽  
pp. 394
Author(s):  
Nita Rianadewi ◽  
Dewa Gede Hendra Divayana ◽  
I Made Ardwi Pradnyana
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Unified Theory ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Effort Expectancy ◽  
Facilitating Conditions ◽  
Use Behavior

Sistem Informasi Perpustakaan dan Arsip (SIPA) adalah sebuah website yang dikembangkan oleh perpustakaan daerah di kabupaten Buleleng sebagai alternative dalam mendukung pengelolaan dan mempermudah pengguna. Penelitian ini bertujuan untuk menganalisis pemanfaatan Sistem Informasi Perpustakaan dan Arsip (SIPA) di Kabupaten Buleleng dengan berdasarkan menggunakan Model Unified Theory Of Acceptance and Use Of Technology (UTAUT) dengan menggunakan empat variabel bebas yakni  performance expectancy,  effort expectancy, social influence dan  facilitating conditions sebagai variable bebas dengan  behavioral intention dan use behavior sebagai variable terikat dan variable moderator Age, Gender dan experience. Variabel Ekpektansi Kinerja dan variabel Ekspektasi usaha tidak berpengaruh positif terhadap  minat penggunaan Sistem Informasi Perpustakaan. Pengaruh sosial berpengaruh positif terhadap minat penggunaan, Kondisi yang memfasilitasi berpengaruh positif terhadap perilaku penggunaan Sistem Informasi Perpustakaan, Variabel moderator jenis kelamin tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan. Variabel moderator umur tidak memperkuat hubungan antara ekspektasi kinerja, ekspektansi usaha dan pengaruh sosial dengan minat penggunaan.Variabel moderator  umur  memperkuat hubungan antara  kondisi yang memfasilitasi  dengan  perilaku pengguna, variable moderator pengalaman memperkuat hubungan antara pengaruh sosial terhadap minat penggunaan Sistem Informasi Perpustakaan, variable moderator pengalaman memperkuat hubungan antara kondisi yang memfasilitasi terhadap perilaku pengguna Sistem Informasi Perpustakaan.  Kata Kunci :  Sistem Informasi Perpustakaan,  Ekspektansi Kinerja, Ekspektansi Usaha, Pengaruh Sosial, Kondisi Pemfasilitasi, Minat Penggunaan,  Perilaku pengguna, UTAUT

scholarly journals Structural Equation Modeling for Mobile Learning Acceptance by University Students: An Empirical Study

2020 ◽  
Vol 12 (20) ◽  
pp. 8618
Author(s):  
Quadri Noorulhasan Naveed ◽  
Mohammad Mahtab Alam ◽  
Nasser Tairan
Keyword(s):  
University Students ◽  
Social Influence ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Mobile Learning Acceptance ◽  
Facilitating Conditions

Advanced mobile devices and global internet services have enhanced the usage of smartphones in the education sector and their potential for fulfilling teaching and learning objectives. The current study is an attempt to assess the factors affecting mobile learning acceptance by Saudi university students. A theoretical model of mobile learning acceptance was developed based on the technology acceptance model (TAM) and the unified theory of acceptance and use of technology (UTAUT) model. Theoretically, five independent constructs were identified as most contributory towards the use of mobile learning and tested empirically. Data were collected through an online survey and analyzed using SmartPLS. The results of the study indicate that four constructs were significantly associated with mobile learning acceptance: perceived usefulness (β = 0.085, t = 2.201, and p = 0.028), perceived ease of use (β = 0.031, t = 1.688, and p = 0.013), attitude (β = 0.100, t = 3.771, and p = 0.037), and facilitating conditions (β = 0.765, t = 4.319, and p = 0.001). On the other hand, social influence was insignificant (β = −0.061, t = 0.136, and p = 0.256) for mobile learning acceptance. The contribution of social influence towards the use of mobile learning was negative and insignificant; hence, it was neglected. Thus, finally, four constructs (perceived usefulness, perceived ease of use, attitude, and facilitating conditions) were considered as important determinants of mobile learning acceptance by university students.

scholarly journals Factors influencing trust and behavioral intention to use Airbnb service innovation in three ASEAN countries

2020 ◽  
Vol 14 (2) ◽  
pp. 175-188
Author(s):  
Evelyn Lim Chua ◽  
Jason Lim Chiu ◽  
Candy Lim Chiu
Keyword(s):  
Social Influence ◽  
Behavioral Intention ◽  
Quantitative Methods ◽  
Business Models ◽  
Service Providers ◽  
Sharing Economy ◽  
The Philippines ◽  
Intention To Use ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose The sharing economy is described as a community marketplace, particularly home sharing such as Airbnb, which is more prevalent. Airbnb changed the way renters and tourists find places to stay when they are traveling. The company introduced innovations in business models and technologies. So, Airbnb requires specific factors that will influence consumers’ trust because consumers intuitively seek out trusting factors to make judgments on innovative service providers. Thus, the purpose of this study is to understand the factors that influence travelers’ trust to use Airbnb within the three ASEAN nations. Design/methodology/approach The data were collected from both qualitative and quantitative methods. The questionnaire was the main data-gathering instrument used in this study and supplemented by informal interviews. A self-administered questionnaire was provided to 130 Airbnb users from the Philippines, Indonesia and Singapore using Hayes’ Process Macro as the statistical tool. Findings The correlation test was carried out to determine the strength and relationships among the independent, mediating and dependent variables. All independent variables are positively correlated with the mediating variable. The results reveal that ease of use, convenience, information social influence, normative social influence and security have a significant impact on trust and behavioral intention to use Airbnb. Originality/value This study contributes to the field of sharing economy, particularly home sharing, by examining different factors that influence trust and behavioral intention. This study focused on the case of Southeast Asian consumers, so this study is useful for marketing practitioners to enhance their marketing strategies in catering to this segment of the market.

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