scholarly journals Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

2019 ◽  
Vol 13 (11) ◽  
pp. 157 ◽  
Author(s):  
Muhammad Turki Alshurideh ◽  
Said Abdelrahim Salloum ◽  
Barween Al Kurdi ◽  
Azza Abdel Monem ◽  
Khaled Shaalan
Keyword(s):  
Technology Acceptance ◽  
United Arab Emirates ◽  
Mobile Learning ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Learning Experience ◽  
Internet Technology ◽  
Equation Modeling ◽  
Learning Platform

<p class="0abstract">There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.</p>

Understanding the emergence of wearable devices as next-generation tools for health communication

2016 ◽  
Vol 29 (4) ◽  
pp. 717-732 ◽  
Author(s):  
Eunil Park ◽  
Ki Joon Kim ◽  
Sang Jib Kwon
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Reliability And Validity ◽  
Wearable Devices ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Adoption Process ◽  
Content Type

Purpose The purpose of this paper is to identify motivational factors for using wearable healthcare devices and examine the process by which these factors are integrated with the technology acceptance model (TAM) and contribute to the adoption of the devices. Design/methodology/approach An online survey assessed the proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=877) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived control and interactivity of wearable healthcare devices as well as users’ innovative tendencies are positively associated with usage intention, while perceived cost has no significant effects on user intention to use the devices. The results also supported the explanatory strength and predictability of TAM. Originality/value Although the promising role of wearable devices in healthcare industries has gained much consumer attention, limited empirical investigations have been conducted on explicating how user attitude and usage intention are shaped regarding the devices. This study serves as one of the first attempts to empirically examine the adoption process, with implications for the future usage of wearable technology in the healthcare context.

From owning to sharing: understanding the emergence of social sharing services

2017 ◽  
Vol 51 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Heetae Kim ◽  
Kyu Ha Choi ◽  
Ki Joon Kim ◽  
Eunil Park
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Structural Model ◽  
Motivational Factors ◽  
Equation Modeling ◽  
Privacy Concern ◽  
Car Sharing ◽  
Content Type ◽  
Social Sharing

Purpose The purpose of this paper is to identify the motivational factors that help shape user perceptions of and attitudes toward car-sharing services and develop a research model that integrates these factors with the technology acceptance model to explicate car sharing’s adoption pattern. Design/methodology/approach An online survey was administered to examine the role of proposed motivational factors for the adoption of wearable healthcare devices. Confirmatory factor analysis and structural equation modeling were conducted on collected data (n=638) to demonstrate the reliability and validity of the measurement and structural model. Findings Perceived reliability, compatibility, and enjoyment of car-sharing services as well as users’ innovative tendencies are positively associated with usage intention. However, users’ privacy concern and perceived cost of using the services are found to have no significant effects on the adoption of the services. Originality/value While the recent advent of mobile communication devices and services has increased access to social sharing-based platform services such as car sharing, this study provides a research framework that helps to understand how various psychological factors contribute to the adoption of a social-sharing service.

scholarly journals Telepresence and Interactivity in Mobile Learning System: Its Relation with Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
Na Wei ◽  
ZhongWu Li
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Open Innovation ◽  
Online Survey ◽  
Mediating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Flow Experience ◽  
Mobile Learning System ◽  
System Characteristics

Mobile learning applications enable people to spend fragmented time to improve their knowledge and competitiveness. Enterprises aim to design innovative applications and create a new learning mode for the public, and the open innovation strategies may help companies achieve their goals. In the current study, the English learning application “LAIX” was investigated, and an online survey was used to obtain data from 289 university students in Guangzhou. This study combines the technology acceptance model (TAM) with flow theory (FT), investigating the psychological experience factors and the system characteristics that influence users’ behavior intentions. The exploration of perceptual variables will promote the establishment of an open innovation model of mobile learning applications. The aim of the study was to establish a theoretical framework to more deeply explore users’ intentions in mobile learning applications. Structural equation modeling (SEM) was used to help measure the relationship between variables and determine the model fit. This research reveals that telepresence is the most important variable that impacts user intentions to use mobile learning applications. In addition, the mediating effect of the flow experience was tested. Telepresence and interactivity indirectly influence behavioral intention through the variable “flow”. Users appear to be more concerned with the flow experience, which shows the highest correlation with intention to use the application. This study may assist companies to innovate system characteristics and improve customers’ user experience, for instance, by integrating virtual reality (VR) technology into the mobile learning system to improve their open innovation level and market popularity.

Utilizing the Push-Pull-Mooring-Habit framework to explore users’ intention to switch from offline to online real-person English learning platform

2019 ◽  
Vol 29 (1) ◽  
pp. 167-193 ◽  
Author(s):  
Yu-Hsin Chen ◽  
Ching-Jui Keng
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
English Learning ◽  
Content Type ◽  
Learning Platform ◽  
Perceived Price ◽  
Real Person

Purpose The purpose of this paper is to develop an extended Push-Pull-Mooring-Habit (PPMH) framework in order to better understand users’ intention of switching from offline to an online real-person English learning platform service. Design/methodology/approach Based on 301 valid responses collected from an online survey questionnaire, structural equation modeling was employed to examine the research model. Findings The causal model was validated using SmartPLS 3.0, and all study hypotheses were supported. The results show that push effects (learning convenience, service quality and perceived price), pull effects (e-learning motivation, perceived usefulness), mooring effects (learning engagement, switching cost and social presences) and habit effects (relationship inertia) all significantly influence users’ switching intentions from offline to an online real-person English learning platform. Practical implications The findings should help online English learning service providers and marketers to understand the intention of offline English learning users to switch to an online real-person English learning platform, and develop related theories, services and regulations. Originality/value The present study extends the prior research of an online real-person English learning platform by providing PPMH as the general framework and demonstrating its efficacy in explaining user switching intentions.

scholarly journals Empirical Validation of Personal and Situational Traits in Usage of Transactional e-Government Services

2021 ◽  
pp. 47-60
Author(s):  
Jongheon Kim ◽  
David Ang* ◽  
Gang-hoon Kim
Keyword(s):  
Technology Acceptance ◽  
Information Disclosure ◽  
Structural Equation ◽  
Structural Model ◽  
Internet Survey ◽  
Equation Modeling ◽  
Measurement Scales ◽  
Government Services ◽  
Research Areas ◽  
Proposed Model

With technology advanced and the flourishing of wired or wireless networks in our daily life, privacy and trustability of transaction media have become highly cherished value. Individuals often make choices in which they surrender a certain degree of privacy in exchange for outcomes or convenience that are perceived to be worthy of the risk of information disclosure. This research attempts to facilitate understandings of the utility of the Technology Acceptance Model (TAM) which is a strongly supported and well-established vehicle in information research and incorporates privacy, risk, and trust factor that are previously regarded as separate research areas from TAM. In addition, it also suggests individual dispositions as precursory factors and examines how they affect users’ risk and trust perception in using transactional e-government services. The proposed model was tested using data gathered from 309 respondents from an internet survey. Structural equation modeling (SEM) using Mplus was employed to validate measurement and structural model. Based on this outcome, the measurements were redefined as composite scores, and subsequent path analysis was conducted to test the proposed hypotheses. The findings provide the structural or causal model of the proposed model attainable, but it requires the development of reliable and valid measurement scales.

scholarly journals The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement

2015 ◽  
Vol 16 (3) ◽  
Author(s):  
Won Sug Shin ◽  
Minseok Kang
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Equation Modeling ◽  
Learning Achievement ◽  
Information System Success ◽  
Learning Satisfaction ◽  
Systemic Factors ◽  
Learning Management ◽  
Acceptance Model

<p align="left"> </p><p>This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technological acceptance and its impact on learning activities, the present study’s results highlight the relationship between behavioral intention/learning satisfaction and learning achievement. Additionally, this study tests the theoretical model of successful mobile learning by empirically accepting mobile learning management systems. The findings further imply that students at online universities have started to accept mobile technology as a new learning tool; consequently, its acceptance has influenced their learning achievement both directly and indirectly. These discoveries should facilitate a better understanding of students’ usage of mobile learning systems in higher education, and provide timely guidance for its development and implementation.</p>

Fundraising campaigns via social media platforms for mitigating the impacts of the COVID-19 epidemic

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saeed Awadh Bin-Nashwan ◽  
Meshari Al-Daihani
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Mediating Effect ◽  
Internet Technology ◽  
Equation Modeling ◽  
Content Type ◽  
Social Media Platforms ◽  
Intrinsic And Extrinsic Motivations ◽  
Online Donations

Purpose The rapid outbreak of coronavirus 2019 (COVID-19) has triggered unprecedented restrictions on not only human movement but also a wide sphere of economic activities, disrupting livelihood, welfare and business worldwide. In response, some Muslim communities have launched fundraising campaigns to mitigate the socio-economic impacts of the virus on the front-liners and the most affected segments of vulnerable populations. The purpose of this study is to explore the intrinsic and extrinsic motivations of donors to these campaigns who contribute via social media platforms (SMPs). Design/methodology/approach This study adopts a cross-sectional research design using an online survey conducted in a typical Muslim community such as Kuwait. A total of 565 samples of data (356 women, 209 men) were used for analysis. Partial least squares-structural equation modeling was used to estimate the research model and extract meaningful conclusions. Findings The results show that charitable projects, internet technology features, SMP features and religiosity are significant motivations that influence attitudes toward online donations related to COVID-19 response. All these relationships are indirectly related to intentions to donate via SMP through a significant mediating effect of attitude. Practical implications The outcome of this study could support the efforts of governments, non-profit organizations and communities to focus attention on suitable proactive strategies to boost online fundraising campaigns for those affected by epidemic diseases. Originality/value This study enriches the literature by integrating both intrinsic and extrinsic motivations of online donations into a new and unique related context such as SMP, especially amid the COVID-19 crisis.

scholarly journals Investigating students' behavioral intention to use mobile learning in higher education in UAE during Coronavirus-19 pandemic

2021 ◽  
pp. 321-330 ◽  
Author(s):  
Mohammad Qasem Al-Hamad ◽  
Hisham Othman Mbaidin ◽  
Ahmad Qasim Mohammad AlHamad ◽  
Muhammad Turki Alshurideh ◽  
Barween Hikmat Al Kurdi ◽  
...  
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Social Relations ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Learning Platform ◽  
Teachers And Students ◽  
Expectation Confirmation

The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.

scholarly journals Challenges facing students to adopting the blackboard system: The case study of the University of Ha’il in Saudi Arabia

2021 ◽  
Vol 8 (5) ◽  
pp. 1-13
Author(s):  
Alkhaldi et al. ◽  
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Online Survey ◽  
Computer Anxiety ◽  
Moderating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Learning Platform ◽  
Blackboard System ◽  
The University

This study seeks to identify the challenges facing students through the adoption of a blackboard system at the University of Ha’il in the KSA. Though the blackboard system has an effective role in the educational context, the adoption of the learning system in educational institutes is still in its infancy. However, students face various types of challenges that could affect their adoption and usage of the blackboard system. The previous researches on blackboard systems produced general rules, and studied a lot of common factors, did not consider the specific human factors. This study uses a quantitative research method. An online survey questionnaire was employed for data collection. For data analysis, SPSS was used for descriptive analysis; Structural equation modeling using AMOS software was applied. The results confirmed that the user’s LMS experience leaves a positive effect on the perception of the usefulness of the Blackboard system, but not computer anxiety. In addition, user’s LMS experience has a moderating effect on the relationship between self-efficacy and their perception of the usefulness of the Blackboard system. This moderating effect reflects that the more student’s LMS experience is the more affected their computer self-efficacy to perceive the Blackboard system more useful. This study produces theoretical and practical implications, and recommendations for the University of Ha’il should move forward with a learning platform.

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.

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