An empirical study on continuance intention of mobile social networking services

2014 ◽  
Vol 26 (2) ◽  
pp. 168-189 ◽  
Author(s):  
Lingling Gao ◽  
Xuesong Bai
Keyword(s):  
Information Quality ◽  
Service Providers ◽  
Network Size ◽  
Perceived Usefulness ◽  
Mobile Service ◽  
System Quality ◽  
Continuance Intention ◽  
Content Type ◽  
Factors Affecting ◽  
Mobile Sns

Purpose – Users' continuance intention is vital to the future of mobile social networking service (SNS) with rapid development and intensive competitions among its providers. The purpose of this research is to identify the factors affecting mobile SNS users' continuance intention. Design/methodology/approach – Data from an online survey administered to 228 mobile SNS users are used to test the research model through the use of structural equation modelling. Findings – The results show that flow, perceived usefulness and satisfaction determine continuance intention of mobile SNS. Moreover, the authors found that referent network size and perceived complementarity are the main factors affecting flow, whereas information quality is the main factor affecting perceived usefulness. Only system quality significantly affects satisfaction. Practical implications – The results imply that mobile service providers need to take the functional characteristics of the mobile SNS (e.g. system quality and information quality), network externalities (referent network size and perceived complementarity) and flow experience into consideration when encouraging users' continuance intention towards mobile SNS. Originality/value – Extant research has focused on initial adoption and usage of mobile SNS and has seldom considered post-adoption usage, which is critical to mobile service providers' success. This research tries to fill the gap by examining continuance intention to use mobile SNS. The theory embedded within the IS success model, network externalities and flow theory articulated that these three research domains can be integrated to better understand the factors that influence mobile SNS users' continuance intention.

Understanding continuance usage intention of mHealth in a developing country

2020 ◽  
Vol 14 (2) ◽  
pp. 251-272 ◽  
Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Least Squares Method ◽  
System Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Continuance Usage ◽  
The Government ◽  
Continuance Usage Intention

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

Analyzing user perspective on the factors affecting use intention of mobile based transfer payment

2016 ◽  
Vol 26 (1) ◽  
pp. 38-56 ◽  
Author(s):  
Parijat Upadhyay ◽  
Saeed Jahanyan
Keyword(s):  
Service Providers ◽  
Value Added ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Transfer Payment ◽  
System Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Validated Questionnaire ◽  
Payment Services

Purpose – This study makes an integrated approach in identifying the factors affecting usage intention of mobile-based payment services. Such services are being marketed aggressively by cellular service providers and are different from usual mobile-based banking. The study incorporates prominent factors like the technical characteristics, technology-specific characteristics, user-specific characteristics, and task-specific characteristics and others from published literature. The purpose of this paper is to highlight those factors which have significant impact on the adoption of such service so that the adoption rate can be increased. Design/methodology/approach – A nationwide primary survey was conducted using validated questionnaire requesting response for the factors obtained from published literature. In total, 196 respondents participated in the survey. Totally, 11 hypotheses were formulated and statistically tested for their significance in context to the study. Confirmatory study was on the significant factors and a model has been proposed. Findings – The study finds that factors like perceived usefulness, perceived ease of use, system quality, connectivity, discomfort, task-technology fit and structural assurance have significant impact on the usage intention of mobile money services whereas factors such as perceived monetary value, absorptive capacity and personal innovativeness have been found to be insignificant. Originality/value – There have been no studies conducted which reported mobile-based transfer payment adoption issues where-in the transfer mechanism is independent of formal banking. The findings would be beneficial for service providers of mobile-based payment services to understand their subscribers and roll out value added services.

scholarly journals Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development

2021 ◽  
Vol 13 (14) ◽  
pp. 7625
Author(s):  
Dung Minh Nguyen ◽  
Yen-Ting Helena Chiu ◽  
Huy Duc Le
Keyword(s):  
Sustainable Development ◽  
Customer Service ◽  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Information Systems Success

To improve customer experience and achieve sustainable development, many industries, especially banking, have leveraged artificial intelligence to implement a chatbot into their customer service. By integrating DeLone and McLean’s information systems success (D&M ISS) model and the expectation confirmation model (ECM) with the factor of trust, the aim of this study was to investigate the determinants of users’ continuance intentions towards chatbot services in the context of banking in Vietnam. A total of 359 questionnaire surveys were collected from a real bank’s chatbot users and analyzed using structural equation modeling. The findings revealed that users’ continuance intentions towards the banks’ chatbot services were influenced by satisfaction, trust, and perceived usefulness, of which trust had the strongest effect. The results also indicate that information quality, system quality, service quality, and confirmation of expectations had significant effects on three drivers of continuance intention in different ways. Our study contributes to the literature by providing a more comprehensive viewpoint to understand the perceptions and reactions of chatbot users in the post-adoption stage. The results of this study also yield several key suggestions for banking service providers on how to increase their customers’ intentions to continue using chatbot services, serving as a basis for long-term and sustainable development strategies in the current digital era.

A hybrid model for exploring the antecedents of cloud ERP continuance

2019 ◽  
Vol 15 (2) ◽  
pp. 215-235 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Hybrid Model ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Is Success Model ◽  
Delone And Mclean ◽  
Success Model

Purpose This study aims to propose a hybrid model based on expectation–confirmation model (ECM), DeLone and McLean IS success model and task-technology fit (TTF) model to examine whether quality factors and TTF as the antecedents to user beliefs can affect organizational users’ continuance intention of cloud enterprise resource planning (ERP). Design/methodology/approach Sample data for this study were collected from end-users of cloud ERP working in companies in Taiwan. A total of 370 questionnaires were distributed in the 37 sample companies, and 315 (85.1 per cent) usable questionnaires were analyzed using structural equation modeling in this study. Findings This study’s findings indicated that users’ perceptions of system quality, information quality and TTF all contributed significantly to their satisfaction, confirmation and perceived usefulness (PU) of cloud ERP, which in turn directly or indirectly led to their continuance intention of cloud ERP; that is, the results strongly supported the hybrid model integrating ECM, DeLone and McLean IS success model and TTF model with all hypothesized links being significant. Originality/value Empirically, this study’s research model capturing ECM, DeLone and McLean IS success model and TTF model has significantly shed light on the possible formulation of a richer post-adoption model. Noteworthily, considerably more attention should be paid to the fit between information-related characteristics and cloud ERP users’ work goals and needs, while TTF, based on both system-related and information-related technology characteristics, significantly contributes to users’ satisfaction, confirmation and PU, which together directly or indirectly explain their intention to continue using cloud ERP.

Understanding Social Capital on Mobile SNS- An IS Success Model Perspective

2018 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Zuoning Xu ◽  
Tao Zhou
Keyword(s):  
Social Capital ◽  
Information Quality ◽  
Service Providers ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Structural Capital ◽  
Success Model ◽  
The Social ◽  
Mobile Sns

The social capital embedded within the social network relationships among users may facilitate their continued usage of mobile SNS. However, how to develop social capital remains a question. In this article, the authors incorporated three factors of system quality, information quality, and service quality from the information systems (IS) success model to examine their effects on social capital in mobile SNS. The results indicate that these three factors have significant effects on social capital, which includes structural capital, relational capital, and cognitive capital. The results imply that service providers need to improve users' technological perceptions in order to develop social capital and facilitate their continuance of mobile SNS.

scholarly journals EWOM towards homestays lodging: extending the information system success model

2018 ◽  
Vol 9 (1) ◽  
pp. 94-108 ◽  
Author(s):  
Hamid Rizal ◽  
Soffri Yussof ◽  
Hanudin Amin ◽  
Ku Chen-Jung
Keyword(s):  
Information System ◽  
Service Quality ◽  
Information Quality ◽  
Service Providers ◽  
System Quality ◽  
Content Type ◽  
Information System Success ◽  
Electronic Service ◽  
Information System Success Model ◽  
System Success

Purpose Drawing from DeLone and McLean’s Theory of Information System Success, this study aims to develop a theoretical model of electronic word of mouth (eWOM) for the homestay lodging. Design/methodology/approach The study examines the relationship between information quality, system quality and electronic service quality towards user’s satisfaction and eWOM intentions. Data were collected from homestay lodgers in Malaysia. Findings Results indicate that the effects of information quality and e-service quality on satisfaction are of significance, in turn affects eWOM intention. System quality, however, is not a driver of satisfaction. Research limitations/implications This study contains three limitations that provide direction for future studies. The details are provided. Practical implications The results provide a direction to the service providers at improving their services for customers’ satisfaction and loyalty. Originality/value The study offers fresh new insights on eWOM intentions from a homestay lodging perspective in Malaysia.

Students' intention to adopt e-government learning services: a developing country perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laila Al-Omairi ◽  
Hosam Al-Samarraie ◽  
Ahmed Ibrahim Alzahrani ◽  
Nasser Alalwan
Keyword(s):  
Developing Country ◽  
Information Quality ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
System Quality ◽  
Content Type ◽  
Intention To Adopt ◽  
Learning Development ◽  
Underlying Processes

PurposeIn any developing country, the critical benefits for ensuring proper utilization of e-government learning services have basically emerged from the integration of underlying processes – not only across different levels of government but also across different functions and agencies. The literature showed a notable lack of research to underline the limited use of e-government learning services in a university setting. Therefore, this study was conducted to examine students' intention to adopt e-government learning services in a developing country. Precisely, the existent to which reputation, social influence, information quality and system quality of e-government learning services would influence students' trust, perceived usefulness and perceived learning values was investigated.Design/methodology/approachThe effect from these variables on students' intention to use e-government learning services was also investigated. A total of 406 questionnaires were collected and analyzed using partial least squares (PLS) modeling.FindingsThe results showed varying relationships between the study's variables. It is anticipated that understanding these relationships can predict future learning trends of e-government learning services use among university students, thus helping decision makers plan ahead, prioritize tasks and make better decisions.Originality/valueKnowledge about students' intention to use e-government learning services is even useful for the implementation of other services by higher education institutions. This study also offers some implications for practitioners and researchers concerned about the application of e-government in students' learning development.

Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

2014 ◽  
Vol 27 (3) ◽  
pp. 230-258 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Information Quality ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
Continuance Intention ◽  
Is Success ◽  
Content Type ◽  
Delone And Mclean ◽  
Success Model ◽  
E Learning

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning system, and this in turn leads to their continued system usage intention. Originality/value – First, the application of the ECM with the view of updated DeLone and McLean IS success model reveals deep insights into quality evaluation (including information quality, system quality, and support service quality) in the field of nurses’ e-learning continuance intention. Especially, this study additionally contributes to the identification of instructor quality that may lead to nurses’ continued blended e-learning usage intention. Next, the empirical evidence on capturing both extrinsic motivator (i.e. PU) and intrinsic motivator (i.e. flow) for completely explaining quality antecedents of nurses’ blended e-learning continuance intention is well documented.

The Effects of Network Externality and Flow Experience on Mobile SNS Continuance

2017 ◽  
Vol 13 (2) ◽  
pp. 57-69
Author(s):  
Tao Zhou
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Service Providers ◽  
Network Size ◽  
Network Externality ◽  
Factors Affecting ◽  
Mobile Social Networking ◽  
Continuance Usage ◽  
Two Factors ◽  
Mobile Sns

Facilitating users' continuance usage and retaining them are crucial to the success of mobile social networking sites (SNS). Drawing on both perspectives of network externality and flow, this research examined the factors affecting mobile SNS continuance usage. Network externality includes two factors: referent network size and perceived complementarity, which represent direct externality and indirect externality, respectively. The results indicated that both factors of network externality have significant effects on flow, which further affects satisfaction and continuance usage. The results imply that service providers need to deliver a positive network externality and an engaging experience in order to facilitate users' continuance usage.

E-SERVCON and E-Commerce Success

2016 ◽  
pp. 816-838 ◽  
Author(s):  
Jung-Yu Lai
Keyword(s):  
Information Systems ◽  
Structural Equation ◽  
Information Quality ◽  
Quality System ◽  
Perceived Usefulness ◽  
System Quality ◽  
Continuance Intention ◽  
Information Systems Success ◽  
Information Systems Management ◽  
Service Convenience

Convenience has become an important indicator of e-commerce systems success. Based on the information systems management and marketing literature, this study explores how customer convenience in using functions and services affects e-commerce systems success. It proposes and analyzes a re-specified e-commerce system model based on the updated DeLone and McLean Information Systems Success Model with a new variable, e-commerce/electronic service convenience. The proposed model re-specifies and validates e-commerce systems success where continuance intention is proposed as a dependent variable and its relationship with independent variables such as information quality, system quality, e-service convenience, perceived usefulness and satisfaction are discussed. Partial least squares structural equation modeling technique is employed to analyze data collected by 210 users of business-to-consumer e-commerce systems in Taiwan. Findings indicate that continuance intention was found to be influenced by both satisfaction and perceived usefulness, which were found to be significant precursors of information quality, system quality, and e-service convenience. These results strongly support our contention that e-service convenience is an important factor affecting e-commerce systems success. They also offer practitioners and managers deeper insights into successful e-commerce systems implementation as well as aid researchers interested in testing related theories.

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