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.

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.

Mobile Banking Continuance Intention

2021 ◽  
Vol 14 (1) ◽  
pp. 55-69
Author(s):  
Mousa Ahmed Albashrawi
Keyword(s):  
Interaction Effect ◽  
User Satisfaction ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Mobile Banking ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Factors Affecting ◽  
Practical Implications ◽  
Expectation Confirmation

User satisfaction is crucial to reinforce continued usage intention of mobile banking (MB). Since IS literature has overlooked continued usage intention of MB and its significance to reflect the success of MB system, it would be important to further the research in this area. This study employs both customization and security, two concerned factors among customers, to examine their impact on satisfaction and MB continuance intention. Extended expectation-confirmation model in IT domain (ECM-IT), developed from TAM and ECM, is used to evaluate the factors affecting satisfaction which in turn affects MB continuance intention. With a sample of a mid-sized US bank customers, regression results reveal that efficiency quality with its underlying factors of perceived usefulness and perceived ease of use are significant predictors of satisfaction. The interaction effect is significant for customization, but not for security. Theoretical and practical implications are communicated.

scholarly journals Developing an educational framework for using mobile learning during the era of COVID-19

2021 ◽  
pp. 215-230
Author(s):  
Khadija Alhumaid
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Online Survey ◽  
Behavioral Control ◽  
Integrated Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
The Impact ◽  
Expectation Confirmation

This paper focuses on the impact of fear emotion upon technology adoption by educators and students during Covid-19 pandemic. Mobile learning (m-learning) has been applied as the educational social platform within higher education institutes, public as well as private. The research hypotheses were associated with the Covid-19 influence on m-learning adoption with the rise of the coronavirus increasing types of fear. Such fears include fear caused by the education failure, family lockdown, and loss of social relationships. Teachers and students are mostly fearful of these aspects of the situation. An integrated model was established within the research, using theoretical models; the Planned Behavior theory, the Technology Acceptance Model, and the Expectation-Confirmation Model. The proposed integrated model (using PLS-SEM software) was analyzed using an online survey data, with 420 respondents from Zayed University, UAE. The findings indicated that attitude was the best predictor for using the m-learning system, followed by continuous intention, expectation confirmation, perceived usefulness, ease-of-use, perceived fear, behavioral control, and satisfaction. According to the research, during the coronavirus pandemic, if the m-learning system is adopted for educational reasons, the learning and teaching outcome proves quite promising. Yet there is a fear of the family being stressed, or of loss of friends, and also a fear of the results of future schooling. It is therefore necessary to assess the students efficiently during this pandemic so that the situation can be managed emotionally.

Predicting Users' Continuance Intention Toward E-payment System

2014 ◽  
Vol 5 (1) ◽  
pp. 47-67 ◽  
Author(s):  
Adeyinka Tella ◽  
Gbola Olasina
Keyword(s):  
Technology Acceptance ◽  
User Satisfaction ◽  
Academic Staff ◽  
Payment System ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Simple Random Sample ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Actual Use

This paper synthesized the technology acceptance model (TAM), to explain and predict the users' intentions to continue using e-payment system. The hypothesized model was validated empirically using a sample data collected from a modified e-payment questionnaire. A simple random sample technique was used to select 250 academic and non academic staff at the University of Ilorin, Nigeria. The results reveal correlation among perceived usefulness and attitude to use, perceived ease of use and perceived usefulness, perceived ease of use and attitude; perceived enjoyment and continuance intention to use, speed and actual use. Furthermore, attitude, satisfaction and actual use were all associated with continuance intention. Moreover, all the nine e-payment predictive factors together made 65% of e-payment continuance intention, and similarly; perceived usefulness, perceived ease of use, enjoyment, speed; perceived benefits, user satisfaction, actual use and attitude are good predictors of e-payment continuance intention.

Understanding users’ behavioral intention to use voice assistants on smartphones through the integrated model of user satisfaction and technology acceptance: a survey approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mine Bertan Yılmaz ◽  
Kerem Rızvanoğlu
Keyword(s):  
Regression Analysis ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
User Satisfaction ◽  
Integrated Model ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Behavioral Intention To Use

Purpose This study aims to determine system quality (SQ) and information quality (IQ) characteristics of voice assistants (VA) on smartphones that are affecting users’ satisfaction and technology acceptance, and how these affect behavioral intention (BI) to use. Design/methodology/approach This study uses the integrated model of user satisfaction and technology acceptance to evaluate users’ behavioral intention to use VAs on smartphones. The model represents a causal chain from the key characteristics of SQ and IQ to beliefs and attitudes that ultimately affect use. An online survey was conducted with 75 university students, and the data was analyzed using multivariate analysis: Simple linear regression analysis and multiple regression analysis. Findings While SQ and IQ of VAs had stronger effects on perceived ease of use (PEU), information satisfaction and PEU showed significant influences on perceived usefulness (PU). The results supported the influence of PEU, PU, and attitude on BI to use but with lesser effect than what PU and attitude together had on BI. Research limitations/implications The sample was drawn from a population of students at a single and small university. Although this study received 160 responses, only 75 were appropriate for analysis. Originality/value There is no research, which adopts technology acceptance and user satisfaction approaches to VAs. To measure the causal effects, this study determined system and information characteristics that could explain SQ and IQ of the current VAs on smartphones. This study tested the proposed framework within the scope of the integrated approach.

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.

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.

Examining internet banking user’s continuance intention through the lens of technology continuance theory and task technology fit model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Samar Rahi ◽  
Mazuri Abd Ghani
Keyword(s):  
User Satisfaction ◽  
Internet Banking ◽  
Perceived Usefulness ◽  
Matrix Analysis ◽  
Research Model ◽  
Continuance Intention ◽  
Content Type ◽  
Task Technology Fit ◽  
And Task ◽  
Expectation Confirmation

Purpose The long-term success of internet banking (IB) services is connected with continuous use. Therefore, examining factors which influence IB user continuance intention is important. Grounded in technology continuance theory, bank transparency and task technology fit (TTF) model, the purpose of this study is to develop a unified technology continuance model to investigate IB user continuance intention. Design/methodology/approach The research model was empirically tested with 348 responses. Respondents included in this study had prior experience with IB services. For hypotheses testing, the structural equation modelling approach was used. Findings Findings indicate that the research model has substantial power in explaining IB user continuance intention. Importance performance matrix analysis revealed that bank transparency had the highest importance in determining IB user continuance intention. Therefore, factors like user satisfaction and perceived usefulness have shown a medium level of importance in determining IB user continuance intention. Satisfaction is influenced by perceived usefulness and confirmation and established a significant impact on IB user continuance intention. Practical implications The findings of this research are useful for bank managers and policymakers to develop and design IB services according to user’s expectations. Results demonstrate that expectation confirmation and perceived usefulness are antecedents of IB user satisfaction and IB user continuance intention. In addition to that bank, transparency has shown a significant effect on user expectation and IB user continuance intention. These findings established that accuracy in sharing bank information and clarity in transaction charges encourage the user to continue the use of IB services. Originality/value The current study develops a unified technology continuance model based on the TTF model and technology continuance theory and investigates IB user continuance intention. Moreover, bank transparency is added in the technology continuance model and established a significant impact towards user expectation confirmation and continuance intention. These findings contribute to the limited body of research in the context of IB user continuance intention and enrich information system literature.

User Acceptance of eGovernment Services

2015 ◽  
pp. 1684-1697
Author(s):  
Serdar Yarlıkaş ◽  
İbrahim Arpacı ◽  
Gülgün Afacan
Keyword(s):  
Factor Analysis ◽  
Technology Acceptance ◽  
User Satisfaction ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Actual System ◽  
Public And Private ◽  
Content System ◽  
Acceptance Model

This chapter identifies user satisfaction levels of eGovernment services. Technology Acceptance Model (TAM) deals with the prediction of the acceptability of an information system. TAM posits that perceived usefulness and perceived ease of use determine an individual's adoption of a system with intention to use serving as a mediator of actual system usage. In this chapter, a modified version of the TAM is proposed to predict the acceptability of eGovernment services and to identify the modifications, which must be brought to the system in order to make it acceptable to users. In the chapter, one of the most used eGovernment projects, e-school, is investigated according to TAM. An Internet-based survey questionnaire was applied to identify factors that influence users' satisfaction from one of the eGovernment services in Turkey. The sample was 30 teachers, who are working in public and private schools. A factor analysis was conducted on the questionnaire items, and a regression analysis, dependent on the factor analysis, was performed to determine and evaluate the effects of the factors on user satisfaction. The authors found that five main factors have significant affect on the satisfaction of users related to the e-School system. These factors are utilitarian ease of use, system usefulness, system content, system usability, and ease of use. The authors contributed to existing literature by adding a new construct, which refers to utilitarian ease of use.

Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective

2020 ◽  
Vol 27 (4) ◽  
pp. 1591-1614 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Individual Performance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.

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