scholarly journals Examining Students’ Continuance Usage Intention for Web-based Educational Tools: A Developed Integrated Structural Model Approach

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Azizul Yadi Yaakop ◽  
Nomahaza Mahadi ◽  
Zailin Zainal Ariffin ◽  
Zuha Rosufila Abu Hasan ◽  
Madzli Harun
Keyword(s):  
Higher Education ◽  
Data Collection ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Integrated Model ◽  
Continuance Intention ◽  
Educational Tools ◽  
Web Based ◽  
Continuance Usage ◽  
Continuance Usage Intention

The primary objective of this study is to examine an integrated model of continuance intention within the context of task-technology fit (TTF) model and technology acceptance model (TAM); to empirically test this integrated model in explaining students’ continuance usage intention of web-based educational tools. To this end, Malaysia’s Ministry of Education has set a theme of Higher Education 4.0: Knowledge, Industry and Humanity as a pledge in the effort to revamp the higher education ecosystem in Malaysia. The elements, inter alia, is to implement 21st century pedagogy incorporating the latest teaching and learning technologies. Parallel with this initiative, the usage of Web 2.0 interactive educational tools has gained a significant recognition in Malaysia’s higher education in recent years. A new model integrating TTF model and TAM is introduced in this study. This study applied quantitative survey in the main data collection. Purposive sampling technique was used, and the data collection was conducted in a public university via Google Forms. In this study, SmartPLS is used to analyse the data. Even though the findings are partly hypothetical, it is inspiring to reveal an integrated conceptual model in exploring consumer behavioural intention related to Malaysia’s higher education context. It is hoped that the findings will suggest the legitimacy of the integrated framework and insights in Malaysian users’ continuance intention about adopting Web 2.0 educational tools.

Adoption of Second Life in Higher Education

2013 ◽  
Vol 4 (2) ◽  
pp. 1-18
Author(s):  
Nauman Saeed ◽  
Sukunesan Sinnappan
Keyword(s):  
Higher Education ◽  
Web 2.0 ◽  
Technology Acceptance ◽  
Second Life ◽  
New Technology ◽  
Empirical Evaluation ◽  
Three Dimensional ◽  
Ease Of Use ◽  
Adoption Studies ◽  
Acceptance Model

Second Life is a three dimensional multi-user virtual environment within the Web 2.0 suite of applications which has gained wide spread popularity amongst educators in the recent years. However, limited empirical research has been reported on the adoption of Second Life, especially within higher education. The majority of technology adoption studies concentrate on analysing effects of utilitarian variables on adoption of a new technology however one should also focus on the hedonic effects when it comes to the adoption of Web 2.0 technologies which are highly interactive, involving, multi-user and entertaining. In this paper, the authors analyse the effect of utilitarian and hedonic behaviours on adoption of Second Life in a higher education context. To achieve this goal the authors propose an extension to Davis’ Technology Acceptance Model (TAM) by including emotional and imaginative responses as hedonic behaviours and usefulness, ease-of-use and computer self-efficacy as utilitarian behaviours. Empirical evaluation of the proposed model suggests that hedonic behaviours, emotional responses in particular, emerged as the strongest predictors of Second Life adoption. The study findings further suggest that traditional technology acceptance approaches may fall short in being able to explain the usage of today’s highly interactive, multi-user and entertainment-oriented technologies.

Understanding mobile shopping consumers’ continuance intention

2017 ◽  
Vol 117 (1) ◽  
pp. 213-227 ◽  
Author(s):  
Dawei Shang ◽  
Weiwei Wu
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Mobile Shopping ◽  
User Groups

Purpose The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals. Design/methodology/approach An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach. Findings The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers. Practical implications Marketers can improve users’ CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups. Originality/value This is one of the studies attempting to explain Chinese mobile shopping consumers’ CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.

Cloud-Based Technologies: Faculty Development, Support, and Implementation

2011 ◽  
Vol 15 (1) ◽  
Author(s):  
Veronica Diaz
Keyword(s):  
Higher Education ◽  
Faculty Development ◽  
Web 2.0 ◽  
Teaching And Learning ◽  
Learning Opportunities ◽  
Web Based ◽  
Vast Array ◽  
E Learning ◽  
Development Support ◽  
Available Technology

The number of instructional offerings in higher education that are online, blended, or web-enhanced, including courses and programs, continues to grow exponentially. Alongside the growth of e-learning, higher education has witnessed the explosion of cloud-based or Web 2.0 technologies, a term that refers to the vast array of socially oriented, free or nearly free, web-based tools, has represented a transition from institutionally-provided to freely available technology tools. This paper addresses the numerous teaching and learning opportunities and challenges that institutions face in adopting and implementing cloud-based technologies into their eLearning programs and provides a guide for forming implementation decisions.

PLS Model Performance for Factors Influencing Student Acceptance of E-Learning Analytics Recommender

2020 ◽  
Vol 10 (2) ◽  
pp. 1-14
Author(s):  
Kamaljeet Sandhu ◽  
Hadeel Alharbi
Keyword(s):  
Technology Acceptance ◽  
Learning Analytics ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Research Model ◽  
Perceived Ease Of Use ◽  
Continuance Usage ◽  
E Learning ◽  
Continuance Usage Intention

The aim of this article is to present the multivariate analyses results of the factors that influence students' acceptance and the continuance usage intention of e-learning analytics recommender systems in higher education institutions in Saudi Arabia. Data was collected from 353 Saudi Arabian university students via an online survey questionnaire. The research model was then used to examine the hypothesised relationships between user experiences of an e-learning analytics recommender system and their intentions for long-term adoption of the system. The research model was primarily based on the Technology Acceptance Model (TAM) developed by Davis (1989) – the variables ‘perceived usefulness,' ‘perceived ease of use,' and ‘acceptance,' particularly – with ‘continuance usage intention' added as an endogenous construct, and with ‘service quality' and ‘user experience' added as external variables.

Understanding Chinese Undergraduates’ Continuance Intention to Use Mobile Book-Reading Apps: An Integrated Model and Empirical Study

Libri ◽  
2016 ◽  
Vol 66 (2) ◽  
Author(s):  
Jiming Hu ◽  
Yin Zhang
Keyword(s):  
Empirical Study ◽  
Technology Acceptance ◽  
User Satisfaction ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Book Reading ◽  
Continuance Intention ◽  
Chinese Undergraduates ◽  
Expectation Confirmation

AbstractMost existing research on usage behaviour of mobile book-reading applications (apps) has focused on exploring users’ initial acceptance; there has been a lack of understanding of the factors that affect user loyalty towards mobile book-reading apps that would reveal Chinese undergraduates’ behaviour patterns in using mobile apps. This study was designed to fill this gap by investigating Chinese undergraduates’ continuance intentions towards mobile book-reading apps. The study employed the expectation-confirmation model and technology acceptance model in conjunction with the perception of experiential value to derive an integrated model, followed by an empirical study to validate the model and better understand usage intention of the users of mobile book-reading apps. Survey data were collected from 390 Chinese undergraduates who had previous experience with mobile book-reading apps. The research model was examined using the SmartPLS 2.0 software. Structural equation modelling was used for hypotheses testing and path analysis was used to present the analytical results. The results of this study suggest that perceived usefulness and satisfaction directly influence continuance intention. User satisfaction plays a crucial intervening role in continuance intention from perceived usefulness, perceived ease of use, and confirmation of users’ expectations. User satisfaction is significantly influenced by expectation confirmation and perceived usefulness, as well as the perceived experiential values. The integrated model in this study successfully establishes the key factors that contribute to continuance intention towards mobile book-reading apps; the model offers a lens for understanding Chinese undergraduates’ apps use behaviour that has practical applications for developing better and more sustainable mobile book-reading apps among this user group.

MFS usage intention during COVID-19 and beyond: an integration of health belief and expectation confirmation model

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farjana Nur Saima ◽  
Md. H. Asibur Rahman ◽  
Ratan Ghosh
Keyword(s):  
Self Efficacy ◽  
Service Providers ◽  
Health Belief ◽  
Perceived Usefulness ◽  
Continuance Intention ◽  
Content Type ◽  
Perceived Credibility ◽  
Continuance Usage ◽  
Continuance Usage Intention ◽  
Expectation Confirmation

Purpose The usage rate of mobile financial services (MFS) has shown an uptick since the emergence of the COVID-19 pandemic in Bangladesh. This study aims to reveal the underpinning reasons for such MFS surge and its continuance by integrating health belief model (HBM) and expectation confirmation model (ECM).Design/methodology/approach The study analyzes 529 MFS users' responses during the second wave of the COVID-19 outbreak in Bangladesh using the partial least square method.Findings Satisfaction is more predictive than perceived usefulness in explaining continuance usage intention. Expectation confirmation also indirectly affects continuance intention. Among the HBM constructs, the indirect effect of perceived severity on continuance intention via perceived usefulness and satisfaction is significant. Besides, the impact of self-efficacy on continuance intention is also significant. Moreover, perceived credibility significantly affects satisfaction and indirectly affected continuance usage intention via satisfaction.Practical implications The study projects boosting customers' satisfaction is critical for the successful retention of existing MFS customers. MFS service providers should emphasize the factors that amplify satisfaction. They must evaluate preadoption factors so that customers can have positive confirmation. Especially, the service providers, the policymakers and the regulators should take an active role in improving the users' self-efficacy and the system's credibility. Undertaking the MFS literacy program, installing hotline service to provide emergency help will boost users' confidence in using the system.Originality/value The study is a unique contribution in the context of Bangladesh. To the best of the authors’ knowledge, no previous MFS studies in Bangladesh explored MFS continuance usage intention during COVID-19 and beyond. Besides, the inclusion of “perceived credibility” in the framework will supplement the earlier studies conducted on this aspect.

Digital Learning Analytics Recommender System for Universities

2020 ◽  
pp. 184-199
Author(s):  
Hadeel Alharbi ◽  
Kamaljeet Sandhu
Keyword(s):  
Technology Acceptance ◽  
Recommender System ◽  
Learning Analytics ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Digital Learning ◽  
Research Model ◽  
Continuance Usage ◽  
Acceptance Model ◽  
Continuance Usage Intention

The aim of this chapter is to present the multivariate analyses results of the factors that influence students' acceptance and the continuance usage intention of digital learning analytics recommender systems at higher education institutions in Saudi Arabia. Data was collected from 353 Saudi Arabian university students via an online digital survey questionnaire. The research model was then used to examine the hypothesized relationships between user experiences of the digital learning analytics recommender system and their intentions for long-term adoption of the system. The research model was primarily based on the technology acceptance model (TAM) developed by Davis (1989)—the variables ‘perceived usefulness', ‘perceived ease of use', and ‘acceptance', particularly—with ‘continuance usage intention' added as an endogenous construct and with ‘service quality' and ‘user experience' added as external variables.

Towards Connected Governance

2021 ◽  
pp. 68-94
Author(s):  
Kemi Ogunsola ◽  
Temilade Precious Olojo
Keyword(s):  
Social Influence ◽  
Web 2.0 ◽  
Performance Expectancy ◽  
Joint Influence ◽  
Effort Expectancy ◽  
Continuance Usage ◽  
Inland Revenue ◽  
Research Questions ◽  
The Government ◽  
Continuance Usage Intention

This contribution examines the factors (performance expectancy, effort expectancy, social influence, and trust) that influence continuance usage intention of Web 2.0 by citizens. A questionnaire was administered to 311 users of Federal Inland Revenue Service and Federal Road Safety Commission's Facebook and Twitter pages in Lagos and Ibadan in Nigeria. Descriptive analyses were used to answer three research questions, while linear regression was used to test seven research hypotheses stated in the study. Findings reveal that there is a significant joint influence of performance expectancy, effort expectancy, and social influence on citizens' continuance usage intention of Web 2.0. There is also a significant joint influence relating to trust in the internet and the government on citizens' continuance usage intention of Web 2.0. Among others, the study recommends that government agencies should engage citizens more in public decisions making processes through the use of Web 2.0-related applications.

scholarly journals Assessing e-learning system in higher education institutes

2018 ◽  
Vol 15 (1) ◽  
pp. 59-78 ◽  
Author(s):  
Muhammad Ali ◽  
Syed Ali Raza ◽  
Wasim Qazi ◽  
Chin-Hong Puah
Keyword(s):  
Higher Education ◽  
University Students ◽  
Technology Acceptance ◽  
Theory Of Planned Behaviour ◽  
Empirical Support ◽  
Learning System ◽  
Planned Behaviour ◽  
Web Based ◽  
Content Type ◽  
E Learning

Purpose This study aims to examine university students’ acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning. Design/methodology/approach This paper further explains a conceptual model that is based on the technology acceptance model (TAM). Earlier theories such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and decomposed theory of planned behaviour (DTPB) have been conducted on user behavioural intention (BI). TAM is considered as the most relevant framework in a Web-based context. To analyse the present study’s hypothesized model, structural equation modelling (SEM) has been used to statistically analyse self-reported sample data from 424 university students. Findings The results revealed that TAM, with the combination of new constructs, explains university students’ acceptance of the e-learning system reasonably well. Additionally, work life quality (WLQ) and facilitating conditions (FC) have a greater influence on the BI and the actual use (AU) of the e-learning system, respectively. Originality/value The study has also provided valuable implications for academics and practitioners for ways to enhance the acceptance of the e-learning system in the higher education of Pakistan.

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