scholarly journals Predicting students’ intention to adopt mobile learning

2018 ◽  
Vol 11 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Charles Buabeng-Andoh
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Reasoned Action ◽  
Statistical Technique ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type

Purpose The purpose of this paper is to explore the ability of the integration of technology acceptance model (TAM) and theory of reasoned action (TRA) to predict and explain university students’ intention to use m-learning in schools. Design/methodology/approach In total, 487 students participated in this study. A seven-likert scale survey questionnaire which comprised of 23 items was completed by the students. Structural equation modeling was used as the statistical technique to analyze the data. Findings The study found that the resulting model was fairly able to predict and explain behavioral intention (BI) among students in Ghana. In addition, this study found that attitudes toward use and subjective norm significantly influenced students’ BI to use mobile learning. The model explained 23.0 percent of the variance in BI, 33.8 percent in perceived usefulness and 47.6 percent in attitudes toward use. Of all the three endogenous variables, attitude had the greatest effect on BI. Originality/value Although, the above-mentioned models have been adopted in many studies, few or none have combined TRA and TAM as a research framework to predict and explain students’ intention to use m-learning since m-learning is fairly new in educational environments. Therefore, a model that combines all constructs from TRA and TAM was proposed in this study to explore university students’ intention to use m-learning in schools.

Exploring the intention to use mobile learning: the moderating role of personal innovativeness

2014 ◽  
Vol 16 (1) ◽  
pp. 40-61 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Group Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Personal Innovativeness

Purpose – The main purpose of this study was to combine the extended technology acceptance model (TAM) with the innovation diffusion theory (IDT) to examine how learners' beliefs affected their usage intention of mobile learning (m-learning) and explore whether the relationships between learners' beliefs and their usage intention of m-learning changed under different levels of personal innovativeness regarding the new information technology (IT). Design/methodology/approach – Sample data for this study were collected from Taiwanese mobile phone users, a total of 750 questionnaires were distributed, and 486 usable questionnaires were analyzed in this study, with a usable response rate of 64.80 per cent. Collected data were analyzed using structural equation modeling, multiple group analysis, and hierarchical moderated regression analysis. Findings – Perceived usefulness (PU), perceived ease of use (PEOU), perceived enjoyment (PE), and compatibility can play essential roles in affecting learners' intention to use m-learning. Personal innovativeness can moderate the effects of PU, PEOU, and compatibility on intention to use m-learning except the effect of PE on intention to use m-learning. Originality/value – Based on the views of the extended TAM with the IDT, this study incorporates intrinsic motivator (i.e. PE) along with conventional extrinsic motivators (i.e. PU and PEOU) into its analysis of m-learning acceptance for a more robust analysis and exhibits explicit results indicating that the effects of learners' beliefs on their usage intention of m-learning depend largely on their innovative predisposition regarding the new IT.

Examining the intentions of a Ghanaian technical university students to use e-library

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eugene Okyere-Kwakye ◽  
Khalil Md Nor
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Library Resources ◽  
Technical University

Purpose Electronic library (E-library) is a form of computer mediated system that uses electronic media, such as Web/internet devices and distributes resources to improve on the quality of teaching and learning. Students’ use of e-library for learning is essential and as such the government has invested hugely into its subscription for several university libraries in Ghana. However, most university students feel reluctant to use the e-library resources for their studies. The purpose of this paper is therefore to examine the factors that influence students’ intention to use e-library resources for their studies. Design/methodology/approach Questionnaire was used to collect data from 200 students from one Technical University in Ghana. Structural equation modeling (SmartPLS) was used to analyze the data. Findings The study found that accessibility, attitude, perceived ease of use, perceived usefulness and relevance to studies have positive significant effect on students’ attitude to use e-library. In addition, self-efficacy, subjective norm and attitude have positive significant influence on students’ intention to use e-library. Research limitations/implications Although the sample frame used for this study may be unique, but the total amount of data collected was limited to providing the general representative of the Ghanaian students in one particular university. Other researchers may consider collecting data from other universities to extend the sample frame for a larger sample size of students. Practical implications Academic administrators need to organize training and workshops on how to use the e-library portal for their search and other didactic assignments. Most importantly, students should be given IT or internet tutorials as foundation for the use of the e-library portal. Social implications Universities have to provide internet access such as hotspot and network routers at the labs, classrooms and other vantage points. It is believed that with these in place, adequate access to the internet would promote students’ engagement on the e-library facility. Originality/value The study examines the factors that influence students’ intention to use e-library resources for their studies in Ghana.

scholarly journals Perceived value of social networking sites (SNS) in students' expressive participation in social movements

2014 ◽  
Vol 8 (1) ◽  
pp. 56-78 ◽  
Author(s):  
Juan D. Borrero ◽  
Shumaila Y. Yousafzai ◽  
Uzma Javed ◽  
Kelly L. Page
Keyword(s):  
Social Movements ◽  
University Students ◽  
Social Networking ◽  
Technology Acceptance ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Content Type

Purpose – The purpose of this study is to determine the beliefs that influence university students to use social networking sites (SNS) for expressive participation in social movements. Design/methodology/approach – The original technology acceptance model (TAM), a quantitative methodological approach, and a survey were used to collect responses from 214 university students in Spain. Structural equation modelling was used to test the proposed relationships. Findings – Results confirm that the perceived ease of use (PEU) and perceived usefulness (PU) of SNS significantly affect a student's intention to use SNS for expressive social participation in social movements, with use intention significantly affecting actual participation. There was no significant moderating effect of students' gender on these relationships. Originality/value – Although there is much discussion in the popular press about how people use SNS, there is no published empirical research on the determinants that contribute to a person's intention to use and actual use of SNS in the context of social movements. This paper is one of the first studies to investigate young people's perception of the SNS usefulness and ease of the use for participation in social movements.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

A comprehensive acceptance model for smart home services

2022 ◽  
Vol 6 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Amer Al-Husamiyah ◽  
Mahmood Al-Bashayreh
Keyword(s):  
Technology Acceptance ◽  
Smart Home ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

Determinants of continuance intention to use mobile self-scanning applications in retail

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Andreia Ferreira ◽  
Graça Miranda Silva ◽  
Álvaro Lopes Dias
Keyword(s):  
Technology Acceptance ◽  
Direct Effect ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
Positive Direct

PurposeRetailers are increasingly using self-service technologies to improve customer experience and reduce costs. The purpose of this study is to identify factors that could explain the level of continuance intention of mobile self-scanning applications in retail. Based on previous theoretical streams, the present study integrates technology readiness (TR) and service quality into the technology acceptance model.Design/methodology/approachUsing data collected through an online survey of 217 users of a mobile self-scanning application of a large supermarket chain operating in Portugal, the study uses partial least squares structural equation modeling to test the proposed hypotheses.FindingsThe results indicate that the continuance usage of the self-scanning apps is directly driven by users' satisfaction and perceived usefulness. Findings also show that TR has a positive and significant impact on ease of use and perceived usefulness. Ease of use has a positive impact on users' satisfaction and perceived usefulness but has no direct effect on the continuance intention to use the application. Perceived quality has a positive direct effect on satisfaction and a positive indirect effect on continuance intention. Finally, need for interaction has a negative effect on TR.Originality/valueThis work contributes to a better understanding of the emerging market for mobile self-scanning applications in retail applications, particularly relevant in a digital transition context.

Adoption of mobile banking at the bottom of the pyramid: an emerging market perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Purohit ◽  
Rakhi Arora
Keyword(s):  
Technology Acceptance ◽  
Migrant Workers ◽  
Structural Equation ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Bottom Of The Pyramid ◽  
Mobile Banking ◽  
Content Type

PurposeThis paper aims to investigate the factors that affect mobile banking adoption among the bottom of the pyramid (BoP) group in an emerging market.Design/methodology/approachData were collected from 332 bank customers in the BoP group through a questionnaire based on previously validated scales. Structural equation modeling (SEM) was applied using SmartPLS 2.0 to analyze the data.FindingsIt was found that perceived usefulness (PU) and perceived ease of use (PEoU) influence the attitude toward mobile banking positively whereas the perceived risk (PR) and perceived deterrents (PDs) influence the attitude negatively. The subjective norms (SNs) and the attitude positively affect mobile banking adoption. Knowledge of mobile banking has a strong effect on the PEoU, but it does not influence the PU of mobile banking.Originality/valueThis research makes an original contribution to the extant research and fills the gap by exploring the factors that affect the mobile banking adoption among a distinct BoP group (migrant workers) in an emerging market. The authors make use of knowledge of mobile banking and PDs as novel and important constructs in the technology acceptance model (TAM) to explore the factors that affect mobile banking adoption among the BoP.

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.

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