Consumers' continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weisheng Chiu ◽  
Heetae Cho ◽  
Christina G. Chi
Keyword(s):  
Positive Impact ◽  
Investment Model ◽  
Equation Modeling ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
Health Apps ◽  
Investment Size ◽  
Fitness And Health ◽  
Expectation Confirmation

PurposeThis study aimed to explore consumers' continuance intention to use a fitness and health app by applying two theoretical models: the expectation–confirmation model (ECM) and the investment model (IM).Design/methodology/approachAn online survey was administered to consumers who are currently using fitness and health apps (N = 342). Structural equation modeling (SEM) was conducted using Amos 22.0 software to examine the hypothesized relationships in the research model.FindingsResults revealed that users' continuance intention was significantly predicted by the two models. Within the ECM, the positive and significant relationships among variables were found. Moreover, users' satisfaction and investment size had positive impacts on their commitment, which, in turn, positively affected the intention. Also, confirmation of expectations had a positive impact on investment size.Originality/valueThe integrated model helps better understand fitness and health app users' decision-making process from the perspective of relationship commitment and suggests practical implications for health and fitness app providers.

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.

Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation–confirmation model with flow theory

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Structural Equation ◽  
Flow Theory ◽  
Learning System ◽  
Theoretical Development ◽  
Equation Modeling ◽  
Medical Professionals ◽  
Continuance Intention ◽  
Content Type ◽  
E Learning ◽  
Expectation Confirmation

PurposeThe purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.Design/methodology/approachSample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.FindingsSynthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.Originality/valueParticularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.

Impact of client vendor communication on client satisfaction in information system based projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zeeshan Rasool ◽  
Jian Xue ◽  
Javeria Awesi ◽  
Arslan Abbas Syed ◽  
Farooq Zahid
Keyword(s):  
Information System ◽  
Client Satisfaction ◽  
Developed Countries ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship ◽  
Expectation Confirmation

PurposeThe research focuses on the impact of client vendor communication on client satisfaction in information system projects and after client satisfaction that will bridge them toward the information system continuance intention of clients. Importance of this study is to understand the effect of client-vendor communication on client satisfaction.Design/methodology/approachThe sample size of the study was 200 respondents and data was collected from electrical manufacturing industries. It is a quantitative field study, and the time horizon of this study is cross-sectional. The data collected was then analyzed by doing the structural equation modeling in PLS-SEM in order to examine the relationships.FindingsFindings of this study likewise demonstrate the mediating impact of client satisfaction between the relationship of client-vendor communication and information system continuance intention as well as between the relationship of expectation confirmation and information system continuance intention. Future studies may include the multi-motive information system continuance model (MISC) to explain the constructs in more depth because it includes different dimensions of expectation confirmation which will help more to understand information system continuance intention.Originality/valueThis study determines the role of information system continuance intention in terms of client-vendor communication and expectation confirmation through the impact of mediator client satisfaction. Previous studies have explained that client-vendor communication affects client satisfaction positively and confirmation also positively affects the client satisfaction. For this research study, the authors have identified the following research gaps. The authors also have found out that the following study is significant in a related study taken in the developed countries. On the contrary, the authors will follow the study and further observe the impact of improved risks in different cities of Pakistan that how client-vendor communication are affecting the success of information

Motivational determinants of digital ticketing: the mediating effect of service satisfaction and the moderating effect of psychological discomfort

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanghoon Kim ◽  
Ho Yeol Yu ◽  
Hyun-Woo Lee
Keyword(s):  
Intrinsic Motivation ◽  
Structural Equation ◽  
Positive Impact ◽  
Group Analysis ◽  
Mediating Effect ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Intention To Use ◽  
Sporting Events ◽  
Content Type

PurposeThe purpose of the study was (1) to examine the motivational composites determining consumers' continued intention to use digital ticketing via self-service technology (SST) by integrating service satisfaction and (2) to ascertain the differences between consumers according to their psychological discomfort toward technology.Design/methodology/approachData were collected using a structured questionnaire, and a total of 323 were included in the analysis. Partial least squares structural equation modeling (PLS-SEM) was utilized to test motivational determinants of digital ticketing. In addition, permutation-based multi-group analysis was performed to investigate the differences between consumers with high and low technology discomfort.FindingsBoth intrinsic and extrinsic motivation are positive predictors of continued intention to use digital ticketing, but only intrinsic motivation has a positive impact on continued intention through service satisfaction. Moreover, the relationship between intrinsic motivation, service satisfaction and continued intention was stronger for consumers with high psychological discomfort than those with low psychological discomfort.Originality/valueGiven the conspicuous characteristics of the digital ticketing process for sporting events, the insights gained from the study may be of assistance to researchers and practitioners in understanding sport consumers' ticket consumption behavior and the determinants of SST usage.

To continue or not to continue: a structural analysis of antecedents of mobile payment systems in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prashant Raman ◽  
Kumar Aashish
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Payment Systems ◽  
Continuance Intention ◽  
Cross Sectional ◽  
Content Type ◽  
Payment Services

PurposeConsumers in India are increasingly using mobile payment systems (MPSs) to make online and offline payments. Digital payment applications are gradually being used as surrogates for cash, checks and plastic money. The motive behind this research is to analyze the different antecedents that impact the users' willingness to continue using the MPS in India.Design/methodology/approachAn extensive study of the literature review supports the creation of a framework that describes the continuance intention of using MPS. Data from a survey of 612 respondents from India were collected to assess the research model. The study used partial least squares (PLS)–structural equation modeling (SEM) technique to empirically validate the framework developed.FindingsThe outcomes of the research suggest that service quality, attitude, effort expectancy and perceived risk act as influencing antecedents of continuance intention to use MPS. Determinants like perceived trust, convenience and social value have no influence on users' continuance intention. SEM analysis has verified the proposed model, which explains 50.7% of the variance of the users' continuance intention of using MPSs.Research limitations/implicationsThe research is built upon cross-sectional data carried out in India. Hence, the outcomes of the study are limited to this region only.Practical implicationsEngaging with the consumers for a long time and enabling their continuance usage are extremely important for firms offering mobile payment services. The managerial implications provide insights into the different ways to capture new business opportunities to the firms rendering mobile payment services in the wake of changing consumer behavior.Originality/valueThis research tries to analyze users' continuance intention to use MPS in India. Although many research studies have investigated the willingness of the individuals to adopt novel technology in different frameworks, there are hardly any empirical studies carried out to analyze the antecedents of users' continuance intention to use MPSs.

Understanding broadband television users’ continuance intention to use

2015 ◽  
Vol 115 (2) ◽  
pp. 210-234 ◽  
Author(s):  
Dah-Kwei Liou ◽  
Li-Chun Hsu ◽  
Wen-Hai Chih
Keyword(s):  
Perceived Risk ◽  
Service Providers ◽  
Ease Of Use ◽  
Equation Modeling ◽  
Intention To Use ◽  
System Quality ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Content Type ◽  
Content Quality

Purpose – Based on the tricomponent attitude model, a research model is developed to investigate the factors that influence users’ use intentions regarding broadband television. These factors are divided into vendor’s service and personal psychology perspectives. The paper aims to discuss these issues. Design/methodology/approach – The research sample consisted of 631 respondents with experience in using broadband television. This study adopted structural equation modeling to test the proposed model. Findings – The results show that the structural model has a good fit and indicates that perceived system quality, perceived content quality, customization, perceived ease of use, and perceived risk directly influence users’ opinions toward broadband television and indirectly affect their continuance intention to use through attitude to use. Practical implications – From a managerial standpoint, this study can assist internet protocol television (IPTV) service providers in understanding the critical determinants that influence consumers’ continuance intention to use IPTV. Originality/value – This study contributes to the understanding of consumers’ continuance intention to use IPTV by introducing customers’ perspectives for vendor’s service factors (perceived system quality, perceived content quality, customization, and perceived ease of use) to current theoretical models. From a personal psychology perspective, this study provides sound evidence that the determinants of perceived price level and perceived risk are critical factors that affect consumers’ attitude to use and continuance intention to use of broadband televisions.

Investigating the factors influencing continuance usage intention of Learning management systems by university instructors

2015 ◽  
Vol 11 (4) ◽  
pp. 491-509 ◽  
Author(s):  
Samar Mouakket ◽  
Anissa M. Bettayeb
Keyword(s):  
Learning Management Systems ◽  
Perceived Usefulness ◽  
Management Systems ◽  
Equation Modeling ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
University Instructors ◽  
Blackboard System ◽  
Learning Management

Purpose – There is a growing demand worldwide for the adoption of Learning management systems (LMS) by academic institutions to support e-Learning platform. Yet limited research has been conducted to investigate the factors affecting its usage, particularly by university instructors. To fill this research void, the expectation-confirmation model (ECM) was used as the core framework for analysis, while additional critical independent factors related to organizational, technological and individual characteristics were added to find a better model to understand university instructors’ continuance intention to use Blackboard system as a popular LMS. Design/methodology/approach – Sample data were gathered from 158 university instructors at a university in the United Arab Emirates (UAE) who volunteered to participate in this study. Structural equation modeling technique was used to verify the causal relationships between the constructs. Findings – Perceived usefulness (PU) affected satisfaction of Blackboard system. Both PU and satisfaction affected instructors’ continuance intentions to use Blackboard system. User-interface design affected both PU and satisfaction. Technical support influenced perceived usefulness. Training influenced perceived usefulness, but it had no influence on satisfaction. Computer self-efficacy had no influence on perceived usefulness. Originality/value – Based on the ECM, this study contributes significantly to the limited body of research on capturing the influence of organizational, technological and individual motivators to explain university instructors’ continuance intention to use LMS.

The cognitive-affective nexus on mobile payment continuance intention during the COVID-19 pandemic

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiu-Ming Loh ◽  
Voon-Hsien Lee ◽  
Teck-Soon Hew ◽  
Binshan Lin
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Network Size ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Continuance Intention ◽  
Content Type ◽  
Affective Constructs ◽  
Artificial Neural Network Ann

PurposeThis study examines the antecedents of continuance intention to use mobile payment in the midst of a pandemic. In general, the cognitive-affective-conative (CAC) framework was used as the theoretical base. More specifically, the dynamic interrelationships between the cognitive and affective constructs were derived from a penta-dimensional perspective.Design/methodology/approachAn online survey yielded 307 responses from youths who were utilizing mobile payment through an online survey which were then analyzed using structural equation modeling (SEM) and artificial neural network (ANN).FindingsBoth positive and negative affective constructs significantly influence continuance intention and can also serve as mediators to the cognitive variables. Interestingly, price savings and referent network size were revealed to be sources of technostress. In addition, despite not having a significant direct influence, price savings should not be overlooked given its indirect significance on continuance intention.Originality/valueBased on the CAC framework, the constructs were conceptualized according to the respective dimensions to develop this study's research model. It was then used to examine their influences on the continuance intention to use mobile payment in the midst of a pandemic. Moreover, a few novel hypotheses were proposed, and the findings serve to increase the understanding of this subject matter.

Examining the factors influencing college students’ continuance intention to use short-form video APP

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaobo Mou ◽  
Fang Xu ◽  
Jia Tina Du
Keyword(s):  
User Satisfaction ◽  
Privacy Protection ◽  
Positive Impact ◽  
Short Form ◽  
New Product ◽  
Intention To Use ◽  
Privacy Concern ◽  
Continuance Intention ◽  
Recommendation Algorithm ◽  
Content Type

PurposeThe purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior on users’ satisfaction and continuance intention to use short-form video application (APP).Design/methodology/approachBased on the existing theories, the research model of this study was developed and 445 valid data were collected through a questionnaire survey. The partial least squares structural equation modeling (PLS-SEM) was employed for data analysis to test the research model and hypotheses.FindingsThe results reveal that the recommendation algorithm has a significant positive effect on user satisfaction, new product novelty and privacy concern. The influence of recommendation algorithm on privacy concern is negatively moderated by product reputation. Privacy concern has a significant and positive impact on privacy protection behavior, and privacy protection behavior has a significant and positive impact on user satisfaction. New product novelty also has significant impact on user satisfaction.Originality/valueThis study is one of the earliest studies to incorporate recommendation algorithm as a construct into the college students’ continuance intention to use short-form video APP. The influence of reputation as a moderator variable on the relationship between algorithm and privacy concerns is also investigated.

Understanding users’ continuance intention to use online library resources based on an extended expectation-confirmation model

2016 ◽  
Vol 34 (4) ◽  
pp. 554-571 ◽  
Author(s):  
Soohyung Joo ◽  
Namjoo Choi
Keyword(s):  
Mediating Effect ◽  
Survey Study ◽  
Intention To Use ◽  
Continuance Intention ◽  
Resource Quality ◽  
Content Type ◽  
Library Resources ◽  
Online Library ◽  
Positive Direct ◽  
Expectation Confirmation

Purpose This study aims to investigate the factors affecting students’ continuance intention to use online library resources (OLRs) in the context of academic libraries. Based on an extended expectation confirmation theory (ECT), the effects of usefulness, confirmation and resource quality on continuance intention to use OLRs were examined. Design/methodology/approach To empirically test the model, a survey study was conducted. Data were collected from 606 student library users at a large state university in the USA. The collected data were analysed quantitatively to answer seven hypotheses using partial least squares method. Findings The findings revealed that both usefulness and confirmation had a positive direct and indirect influence on continuance intention. Also, the effect of resource quality on continuance intention was found to be significant. Satisfaction had a mediating effect on the relationship between usefulness, confirmation and resource quality, and continuance intention. Originality/value This study is one of the first attempts that adopted the ECT to understand students’ continuance intention to use OLRs. In addition, the effect of the multiple dimensions of resource quality – accessibility, credibility, coverage, and format – on users’ continuance intention to use OLRs was investigated.

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