Behavioral Intention to Use Mobile Learning: Evaluating the Role of Self-Efficacy, Subjective Norm, and WhatsApp Use Habit

Purpose This paper aims to examine relationships between attitude, self-efficacy and subjective norm with library patrons’ behavioural intention to use public computing facilities at a library. Design/methodology/approach Data were collected from 200 undergraduate students enrolled at a higher learning institution in the Federal Territory of Labuan, Malaysia, via a structured questionnaire comprising closed-ended questions. A structural equation modelling technique using Analysis of Moment Structures (AMOS) computer software version 21 was used to examine the stability of the model with the data and to estimate impacts among factors instantaneously. Findings The results show that library patrons’ behavioral intention to use public computing facilities at the library is widely affected by subjective norm factor, i.e. influence of the support of family members, friends and neighbours. Using public computers in a library helps them to be more independent in completing their assignments and conducting research collaboration, checking email messages, social networking and performing other online tasks. Practical implications The findings of this study provide a better understanding of factors likely to influence library patrons’ behavioral intention to use public computing facilities at a library. It also offers valuable insights into factors which university librarians need to focus on to improve library patrons’ behavioral intention to actively use public computing facilities at a library for quality information retrieval. Originality/value This study replaces perceived behavioral control with self-efficacy in the framework, as it overlaps with the concept of self-efficacy to provide more variance in behavioral intention to use public computing facilities at a library, which has been marginally researched in the Malaysian context.

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User Behavioral Intention to Use Online Distance Learning (ODL): The Role of Self-Efficacy and Domain Knowledge

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v15i18.24539 ◽

2021 ◽

Vol 15 (18) ◽

pp. 4

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 ◽

Intention To Use ◽

User Intention ◽

Online Distance Learning ◽

Online Distance ◽

Behavioral Intention To Use

<p class="0abstract"><span lang="EN-US">The rise of novel coronavirus 2019 has shifted the roles of education industry. Face-to-face have become a distant memory; students and educators are now heavily relying on the digital communication. Application such as Google Meet, Webex, Webinar, Stream Yard, Zoom, and many more have become the new norm among educators and students. However, the sudden dependency on the digital technologies raises a question on the user intention to use this new digital technology. Therefore, the objective of this study is to determine the role of self-efficacy and domain knowledge towards user behavioral intention to use online distance learning. An instrument was developed by adopting to previous instruments and was analyze using Statistical Package for Social Science and SmartPLS for inferential analysis. Findings shows that the exogenous variables are capable to explained between 47.8% to 68.1% of the endogenous variables.</span></p>

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

ACI Open ◽

10.1055/s-0041-1732406 ◽

2021 ◽

Vol 05 (02) ◽

pp. e59-e66

Author(s):

Srinivas Emani ◽

Yichuan Grace Hsieh ◽

Greg Estey ◽

Holly M. Parker ◽

Xiaofeng Zhang ◽

...

Keyword(s):

Clinical Trials ◽

Regression Model ◽

Behavioral Intention ◽

Self Efficacy ◽

Hierarchical Regression ◽

Intention To Use ◽

Hierarchical Regression Model ◽

Volunteer Recruitment ◽

Facilitating Conditions ◽

Behavioral Intention To Use

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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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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MODEL PENERIMAAN TEKNOLOGI LANJUTAN BAGI MERAMAL KEINGINAN MENGGUNAKAN SISTEM PERINGATAN TOPI KELEDAR

Jurnal Teknologi ◽

10.11113/jt.v77.4143 ◽

2015 ◽

Vol 77 (1) ◽

Author(s):

Kamarudin Ambak ◽

Naida Rosli ◽

Basil David Daniel ◽

Joewono Prasetijo

Keyword(s):

Behavioral Intention ◽

Subjective Norm ◽

Ease Of Use ◽

Intention To Use ◽

Descriptive Norm ◽

Perceived Ease Of Use ◽

Hierarchical Multiple Regression ◽

Helmet Use ◽

Perceived Safety ◽

Behavioral Intention To Use

Motorcycle is a common transport use in Malaysia compared to other transportation such as car. However, every year motorcyclist is the highest contributors towards road death accident statistic. This paper presents a new intervention to enhance the safety of motorcyclist regarding head injuries issue. A new approach called conceptual design of Safety Helmet Reminder (SHR) system is proposed. The Technology Acceptance Model (TAM) is adopted to predict behavioral intention to use SHR among motorcyclists. The self- administered questionnaires were distributed among 300 motorcyclists as respondent in Batu Pahat, Johor. The data were analyzed using a correlation and hierarchical multiple regression analysis. The results show that all variables are highly correlated, positive linear relationship and significantly at 0.01 (p<0.01). In addition, the hierarchical multiple regression demonstrates perceived ease of use, behavioral intention to use SHR and additional variables (perceived safety, subjective norm and descriptive norm) are found significant (p<0.05). As a conclusion, perceived safety, subjective norm, descriptive norm, perceived ease of use and behavioral intention to use technology remained a significant predictor of helmet use. However, perceived usefulness and attitude toward using technology were not significant in predicting helmet use among motorcyclist.

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Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach

Computers in Human Behavior ◽

10.1016/j.chb.2014.03.052 ◽

2014 ◽

Vol 36 ◽

pp. 198-213 ◽

Cited By ~ 120

Author(s):

Garry Wei-Han Tan ◽

Keng-Boon Ooi ◽

Lai-Ying Leong ◽

Binshan Lin

Keyword(s):

Neural Networks ◽

Mobile Learning ◽

Behavioral Intention ◽

Intention To Use ◽

Behavioral Intention To Use

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Auto Mechanic Students’ Perceptions and Readiness toward Mobile Learning in Thailand

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v12i5.8906 ◽

2018 ◽

Vol 12 (5) ◽

pp. 28

Author(s):

Ekkalak Issaramanoros ◽

Jintavee Khlaisang ◽

Pakawan Pugsee

Keyword(s):

Mobile Learning ◽

Behavioral Intention ◽

Teaching And Learning ◽

Intention To Use ◽

Personal Innovativeness ◽

Use Of Technology ◽

Rural And Urban ◽

Effort Expectancy ◽

Education Gap ◽

Behavioral Intention To Use

Access to quality education is now a huge challenge in Thailand with ever-increasing inequality between rural and urban populations. Existing teaching and learning facilities are no longer adequate. Mobile learning has been suggested as a sustainable and appropriate delivery mechanism to reduce this rural/urban education gap. Students are supplied with their own mobile device at no cost to learners or their families. Opportunities offered through mobile learning to auto mechanic education in Thailand were explored. Data from 384 auto mechanic students were collected and descriptive and multiple regression analyses were performed based on the unified theory of acceptance and use of technology 2 (UTAUT2) model. Results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation and personal innovativeness were positively related to behavioral intention to use mobile learning. Furthermore, effort expectancy, hedonic motivation and personal innovativeness were the most significant predictors of behavioral intention to use mobile learning. Auto mechanic students in Thailand had positive perceptions toward mobile learning and the effect of students’ effort expectancy provided a better explanation for the adoption of mobile learning in auto mechanic education.

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