Continuance Usage Intention Research Articles

Factors that Affect Continuance Usage Intention of E-Wallet Users in Jakarta

The growth of technology produces many innovative technologies that make people's lives easier. Competition between technology companies is getting fiercer, they are competing to be the number one in their industry. One of the innovative technologies is the e-wallet. The pandemic and social distancing, make contactless technology grow faster. One of the e-wallets is Sakuku by BCA. When the e-wallet industry is increasing, conversely, active Sakuku users are decreasing. This can occur due to several factors such as confirmation, perceived usefulness, perceived ease of use, and satisfaction. This study examines the effect of confirmation, perceived usefulness, perceived ease of use, and satisfaction on the continuance usage intention of Sakuku users in Jakarta. This study uses PLS-SEM as data analysis technique using data from 232 respondents who have filled out online questionnaires via google form. The results of data analysis show that perceived usefulness and satisfaction can directly affect continuance usage intention. Perceived ease of use cannot affect directly but must go through satisfaction. In addition, confirmation, perceived usefulness, and perceived ease of use can affect satisfaction.

Factors that Affect Continuance Usage Intention of E-Wallet Users in Jakarta

Factors that Affect Continuance Usage Intention of E-Wallet Users in Jakarta

Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model

This study explored the antecedents of m-commerce continuance usage intention and their impact on the price sensitivity of Indonesian m-commerce customers. The study also incorporates contextual factors, such as perceived risk, trust, efficiency, and functional benefits, into the model to investigate their impact on the satisfaction of m-commerce users. Moreover, it examines how the efficient and functional benefits of m-commerce affect price sensitivity. The study employed online questionnaires to gather data from m-commerce users in Indonesia. The hypothesis was tested using a partial least squares technique with Smart-PLS. This study demonstrates that user satisfaction with mobile commerce has a significant impact on their intention to continue using it, which in turn affects their price sensitivity. The study found perceived risk, trust, efficiency, and functional benefit to be significant determinants of satisfaction in m-commerce usage. The study also found that trust, efficiency, and functional benefits influence the continuance use of m-commerce, while perceived risk is not an intervening variable for continuance intention among m-commerce users. Furthermore, the results show that perceived risk, trust, and functional benefit influence a user’s price sensitivity, whereas efficiency was not found to be a determinant in influencing price sensitivity. However, the study found that continuance usage intention and satisfaction serially mediated the link between efficiency and price sensitivity, as well as the link between functional benefit and price sensitivity. The outcome of this study would be useful for managers and practitioners who find it difficult to retain their customers’ continued intention to purchase their products and services.

The Effects of Airline Environmental Responsibility Activities on Corporate Trust and Continuous Usage Intention

The Effects of Airline Environmental Responsibility Activities on Corporate Trust and Continuous Usage Intention

Continuance Intention on Gamifikasi in E-Learning Using Extended Expectation-Confirmation Model

In an effort to examine user continuance intentions after using gamification in e-learning, this research was conducted to identify the factors that influence gamification in e-learning using the theoretical model of ECM, then analyze the relationship between the influencing construct variables, and explain the practical and theoretical implications of the effect of gamification in e-learning on user's continued intention to reuse. The theoretical model was developed from the Extended Expectation-Confirmation model (ECM) by integrating the influencing determinants. Descriptive analysis and hypothesis testing using the SEM technique used the Amos 24 application to analyze and interpret data from 496 respondents who participated in an online questionnaire distributed via chat applications and social media. Significant test results have been found for users after using gamification in e-learning, the confirmation variable has a high positive correlation in influencing satisfaction according to the expectations felt by users. The results of the Pearson correlation test conducted show that if the value of gamification user satisfaction in e-learning increases, the intention to continue using e-learning will also increase as found in the five hypothetical determinants that have a direct effect on continuous intention, namely perceived usefulness, satisfaction, engagement, flow, perceived enjoyment. The practical meaning of the findings has a significant effect on continuous intention for educational institutions to research and develop innovative online learning models with gamification to increase the level of user participation, for teachers to ensure that the implementation of the gamification feature has a positive direct effect on sustainability intentions, for users to be able to provide confirmation of benefits obtained with a sense of satisfaction to continue using gamification in e-learning. This study predicts the continuance intention of gamification users in e-learning by analyzing theoretical models influenced by 4 basic ECM constructs plus 3 exogenous variables of engagement, perceived enjoyment and flow. Testing the construct hypothesis, presenting a comprehensive SEM analysis, producing direct and indirect positive significance tests on continuous intention.

Predicting students' continued intention to use E-learning platform for college English study: the mediating effect of E-satisfaction and habit.

Using technology in education facilitates knowledge dissemination expediently while broadening and deepening learning modes and content diversity. As an information technological innovation, E-learning platform is widely used to learn college English. However, few studies have explored the motivations for students' e-satisfaction and continued intention towards using it for college English study. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), this study identifies the influencing factors for the continued usage intention and tests the mediating role of e-satisfaction and habit. Six hundred and twenty-six usable responses from Guangxi were analyzed with partial least squares structural equation modelling. Results show that performance expectancy, learning value, hedonic motivation and habit positively affects students' continued usage intention, e-satisfaction positively mediates the relationship between the antecedents and continued usage intention, and habit positively mediates the relationship between e-satisfaction and continued usage intention. The research provides guidelines for the successful implementation of e-learning platform for college English study and key references for improvement of students' engagement and satisfaction experience with using e-learning platform for college English study.

Why do consumers continue to use OTT services?

As consumers’ interest in over-the-top (OTT) platforms has been increasing, we thoroughly examined the factors affecting the continuous usage intention of OTT services using the dual post-adoption model. In this study, we analyzed the structural relationships between user satisfaction, resistance to switching, and continuous usage intention, with dedication- (personalization and content diversity) and constraint-based (investment cost and learning effort) factors as the main variables using PWSW (SPSS) 23.0 and AMOS 22.0. The results showed that dedication-based factors had positive effects on user satisfaction and constraint-based factors had positive effects on resistance to switching. Due to the use of phantom variables and bootstrap methods to verify the significance of individual mediation effects, dedication-based factors affected continuous usage intention through user satisfaction, whereas constraint-based factors had a greater effect on continuous usage intention when mediated by resistance to switching. Lastly, user satisfaction and resistance to switching had positive effects on continuous usage intention. This study is important because it is the first to apply the benefits and costs perceived using OTT services to a dual post-adoption model and specifically identifies the key factors affecting intention to continue using the OTT service. Our findings can provide practical guidelines to establish effective platform management strategies for companies providing OTT services by analyzing the specific reasons why consumers continue to use existing services in the current mature OTT market from two perspectives.

The Effect of Over The Top (OTT) Service Platform Characteristics on Consumer Satisfaction and Continuous Usage Intention

The Effect of Over The Top (OTT) Service Platform Characteristics on Consumer Satisfaction and Continuous Usage Intention

Literature Review Of M-Banking Experience In Generation X, Y, And Z: Study Of Antecedents And Outcomes

Customers are using mobile banking (M-Banking) as a handy way to manage their funds as the world gets more digital. Banking industry aim to provide customers a great experience across M-Banking channel to attract more customer, sustain their customer’s loyalty, and get higher revenue for the continuous usage in the future. In order to investigate the design of a customer experience from a holistic standpoint, this study expand on the literature that has already been written on the topic and give an overview of it in this paper. Understanding consumer behavior thus requires examination of the various patterns of personality traits and their impact over generations. This study also explains the comprehend of inter-generational relationship through their behavioral biases across generational cohorts. Few papers are examined through 12 journal articles published between 2008 and 2023 in top journal. The findings indicate that the customer experience is dynamic and proposed a broaden model to examine such as S-O-R framework to get better understanding. M-Banking experience’s antecedent and outcomes among generation X,Y, and Z is also approached such as how and to what extent an experience influence loyalty and continuous usage intention. In each of this area, this study identifies and discuss important issues worthy for further research.

Understanding the continuous usage of mobile payment integrated into social media platform: The case of WeChat Pay

WeChat Pay has proven extremely popular among consumers in the growing market of China. This paper explores the influencing factors upon its continued use. Both the survey data from 568 WeChat Pay users and semi-structured interview with 30 interviewees were utilized. Drawing on the stimulus-organism-response (S-O-R) model, this paper constructs a model to understand how social influence and platform factors affect users’ perceived value and satisfaction and, ultimately, influence their continuous usage intention of WeChat Pay. It reveals that social influence and platform factors can indirectly promote continuous usage intention through perceived value (PV), which consists of tangible functional values and intangible values (i.e., perceived entertainment value, interactive value and social value). Especially, intangible values have a much stronger impact on users’ satisfactions than tangible value. The perceived entertainment value from Red Envelope games is the strongest factor of PV. Several implications for academia and practitioners are offered.

The continuous usage of artificial intelligence (AI)-powered mobile fitness applications: the goal-setting theory perspective

PurposeDue to the popularity of mobile devices and the development of artificial intelligence (AI), AI-powered mobile fitness applications (MFAs) have entered people's daily lives. However, the extant literature lacks empirical investigations that explore users' continuance usage intentions regarding AI-powered MFAs. To fill this research gap, this paper employs goal-setting theory to establish a research model for exploring how AI-enabled features (i.e. intelligence and anthropomorphism) affect users' perceptions of goal difficulties and goal specificities, which in turn affect their MFA continuance usage intentions.Design/methodology/approachThis paper uses a survey method to analyze the research model, and a total of 223 responses are collected. The partial least squares (PLS) technique is utilized for data analysis.FindingsThe results show that intelligence and anthropomorphism affect the continuance usage intention of MFA users through their goal difficulty and specificity. Both intelligence and anthropomorphism positively influence goal specificity, whereas they negatively affect goal difficulty. In addition, goal specificity increases users' MFA continuance usage intention, whereas goal difficulty decreases users' continuance usage intention. The findings of this study provide theoretical contributions for AI technology adoption research and offer practical strategies for firms to retain MFA users.Originality/valueBased on goal-setting theory, this study reveals that as two primary AI features of contemporary mobile fitness apps, intelligence and anthropomorphism, can increase comprehension of users' perceptions regarding goal difficulty and specificity in the context of users' continuance usage intentions toward AI-powered MFAs.

Teachers' Perceptions and Continuance Usage Intention of Artificial Intelligence Technology in Tesl

Artificial Intelligence (AI) has paved the way for sustainable progress in all fields. In recent years, Artificial Intelligence in Education (AIEd) has shown a significant impact in the education sphere, especially after the outbreak of the Covid-19 pandemic hit the world. The various benefits and facilities of big data through educational technology have made AI a trend in the leading-edge education system. Teachers as one of the most essential stakeholders are responsible for implementing the curriculum and facilitating classroom learning. Despite the myriad advantages, AI technologies and applications are still underutilised in the teaching and learning process. Previous studies showed that a lot of AI-related studies in education are on AI system development in higher education, whereas AI technology use in primary education, particularly in ESL classes, receives inadequate attention. A survey-based study was conducted to examine the impact of teachers' perceptions on the continuance usage intention of AI technology in ESL primary schools. The research data were analysed using descriptive and inferential analysis to find the descriptive, correlation and regression results. Findings from the study revealed that teachers’ perceptions influenced teachers' intention to continue using AI technology. Hence, in order to implement the policies, it is crucial for policymakers to take into consideration the responses of the teachers to transform working conditions and academic curricula effectively.

Teachers' Perceptions and Continuance Usage Intention of Artificial Intelligence Technology in Tesl

Teachers' Perceptions and Continuance Usage Intention of Artificial Intelligence Technology in Tesl

Does M-payment service quality and perceived value co-creation participation magnify M-payment continuance usage intention? Moderation of usefulness and severity

PurposeDemonetization and pandemic-related restrictions in India propelled the usage of mobile payments (M-payments). The culture of online smartphone transactions is expected to rise over the coming years, even after things return to normal. This study aims to unveil the factors that escalate the satisfaction levels of M-payment users and eventually stimulate them to continue using M-payments for their daily activities.Design/methodology/approachThis study evaluated the intention to continue using M-payments for 710 users utilizing structural equation modeling and augmenting the technology acceptance model (TAM) as well as the expectation confirmation model (ECM). Mediation and moderation analysis examined the proposed model's direct and indirect relationships.FindingsThe findings unveil that perceived value co-creation participation, service quality and cognitive processing magnify user satisfaction, significantly escalating M-payment continuance usage intention. Perceived value co-creation participation and user satisfaction with M-payment partially mediate the linkage among the constructs. Furthermore, perceived usefulness strengthens the link, while perceived severity of security threats weakens the linkage between user satisfaction with M-payment and continuance usage intention.Research limitations/implicationsThe study's findings could benefit M-payment service providers, users, policymakers and the telecom industry to strengthen India's digital payment framework.Originality/valueThe perceived value co-creation participation and cognitive processing domain have not garnered much attention in the M-payment literature. The study strives to comprehend these constructs by widening the purview of TAM and ECM models. It also measures the moderating role of perceived severity of security threats and perceived usefulness to unfurl potential linkages between the identified constructs.

Exploring the Influential Factors of Personal Media Bloggers on Followers’ Continuous Following Intention Based on Relationship Marketing Theory

The use of personal media has become increasingly popular in recent years. However, gaining and retaining followers has become increasingly challenging, given the fierce competition among bloggers and the constant changes in personal media. In this context, this study aims to explore the factors that influence followers' continued usage intentions toward personal media bloggers and strategies to improve their loyalty. Drawing upon the theory of relationship marketing, a structural model is constructed to examine the impacts and mechanisms of personal media bloggers' attributes and communication on social presence, fanship, intention to use, and word of mouth. This research focuses on two dimensions of personal media bloggers' attributes: expertise and attractiveness. A sample of 155 highly active personal media users in China was collected through a questionnaire for analysis and validation. The findings reveal that expertise and communication have positive impacts on followers' intentions to continue following a blogger, while attractiveness has a significant, positive, and direct impact on word of mouth. Furthermore, this study shows that social presence and fanship play mediating roles in the effects of expertise and communication on followers' usage intentions and word of mouth. The research results provide valuable insights for personal media operators and marketers seeking to improve followers' loyalty and encourage potential users to become more loyal fans.

Continuous usage intention of mobile health services: model construction and validation

BackgroundMobile health (mHealth) services can not give full play to their value if only it is used in the short term, and their continuous usage can achieve better effects in health management. This study aims to explore the factors that affect continuous usage intentions of mHealth services and their mechanism of action.MethodsFirst, considering the uniqueness of health services and social environmental factors, this study constructed an extended Expectation Confirmation Model of Information System Continuance (ECM-ISC) to investigate factors that may influence the intention of continuous usage of mHealth services based on three dimensions, namely individual characteristics, technology and environment. Second, the survey method was used to validate the research model. The questionnaire items were derived from validated instruments and discussed by experts and data were collected both online and offline. The structural equation model was used for data analysis.ResultsThere were 334 avidity questionnaires through cross-sectional data and these participants had used mHealth services ever. The reliability and validity of the test model were good, in which Cronbach’s Alpha values of 9 variables exceeded 0.9, composite reliability 0.8, the average variance extracted value 0.5, and the factor loading 0.8. The modified model had a good fitting effect and strong explanatory power. It accounted for 89% of the variance in expectation confirmation, 74% of the variance in perceived usefulness, 92% of the variance in customer satisfaction, and 84% of the variance in continuous usage intention. Compared with the initial model hypotheses, perceived system quality was deleted according to the heterotrait-monotrait ratio, so paths related to it were deleted; perceived usefulness wasn’t positively associated with customer satisfaction, and its path was also deleted. Other paths were consistent with the initial hypothesis. The two new added paths were that subjective norm was positively associated with perceived service quality (β = 0.704, P < 0.001), and perceived information quality (β = 0.606, P < 0.001). Electronic health literacy (E-health literacy) was positively associated with perceived usefulness (β = 0.379, P < 0.001), perceived service quality (β = 0.200, P < 0.001), and perceived information quality (β = 0.320, P < 0.001). Continuous usage intention was influenced by perceived usefulness (β = 0.191, P < 0.001), customer satisfaction (β = 0.453, P < 0.001), and subjective norm (β = 0.372, P < 0.001).ConclusionsThe study constructed a new theoretical model including E-health literacy, subjective norm and technology qualities to clarify continuous usage intention of mHealth services, and empirically validated the model. Attention should be paid to E-health literacy, subjective norm, perceived information quality, and perceived service quality to improve continuous usage intention of users and self–management by mHealth Apps managers and governments. This research provides solid evidence for the validity of the expanded model of ECM-ISC in the mHealth field, which can be a theoretical and practical basis for mHealth operators’ product research and development.

Development of a Visual Search Service Effectiveness Scale for Assessing Image Search Effectiveness: A Behavioral and Technological Perspective

Despite the potential of visual search services (VSSs) to increase the size of the global visual search market, there is no VSS effectiveness measurement scale in the literature. Prior studies of traditional text-based search services have aimed to establish a method for assessing the performance of web search services. Our primary objective is to integrate state-of-the-art research in the fields of information-seeking behavior, visual search performance, and human–computer interaction pertaining to evaluating VSS effectiveness. The key dimensions of VSS effectiveness were identified by adopting the Delphi method, and the associated measures were developed. Then, survey data were collected from 426 VSS users, and the developed measures of VSS effectiveness were validated using the exploratory factor analysis technique. Finally, the scale developed includes 19 measures belonging to three key dimensions: user dependency on VSSs, the perceived ability to use VSSs, and VSS retrieval performance. The nomological validity of the developed scale’s three dimensions was also ensured and was evident from the positive correlations between them and VSS user continuance intention. Overall, we find that the better the functionality of a VSS is, the more users with a high perceived ability can acquire better information. This study also contributes to the theory development in the literature on search service effectiveness measures in terms of highlighting the VSS feature to be considered when providing a VSS that is suitable for the user’s preference.

Service quality, perceived price fairness, and users’ continuous usage intentions regarding shared bike service

One of the most challenging issues confronting shared bicycle managers is how to improve users’ intentions for continued use. This paper presents a research model to investigate how perceived price fairness and service quality influence shared bicycle users’ intentions for continued use. Using structural equation modelling analysis of 760 shared bicycle users’ data in China, the results showed that: (1) Users’ perception of the fairness of shared bicycle prices has the greatest impact on users’ perception of green value, followed by users’ perception of functional value and users’ perception of hedonic value. (2) The service quality of bicycle-sharing operators has the greatest impact on users’ perception of social value, followed by users’ perception of hedonic value and users’ perception of green value. (3) Users’ perception of green value has the greatest impact on users’ intentions for continued use of a shared bicycle, followed by users’ hedonic value perception, users’ functional value perception, and users’ social value perception. (4) There are significant differences between high price-sensitivity users and low price-sensitivity users in the process of forming intentions for the continued use of shared bicycles.

Students’ online evaluation of teaching and system continuance usage intention: new directions from a multidisciplinary perspective

Student evaluation of teaching (SET), a major tool for assessing teaching quality in higher education is a crucial research topic. Among 13 studies published about online peer SET in Assessment & Evaluation in Higher Education over the past two decades, ease of use, clarity and helpfulness of SET information were repeatedly tested. This study introduces theory from the information systems field to give a multi-disciplinary view in testing how students’ perceptions may affect their intention to continue to use an online peer SET system. While past studies focused on ratemyprofessor.com, offering results from USA, Canada and UK, this study aimed to provide Asian insight by using data from Taiwan. Based on 364 student members of the selected website, findings indicated that disconfirmation of SET information significantly affected perceived usefulness, trust and satisfaction, ultimately shaping continuance usage intention of the online peer SET system. Practical implications for online peer SET website managers and institutional SET managers are discussed.

Investigating The E-Wallet Usage Continuance Intention in Malaysia Post-Covid 19 Pandemic

The global trend toward a cashless society involves cashless transactions via electronic media. Furthermore, the emergence of the coronavirus has enhanced contactless payment awareness in numerous nations, including Malaysia. Even though e-wallet usage in Malaysia has drastically increased, however, it is realised that the transaction volume of e-wallet is still not so desirable as compared to online banking. Hence, the main objective of this research is to investigate the e-wallet usage continuance intention among consumers in Malaysia. This research has adopted the Modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model to explain the continuance intention of E-wallet use. A minimum of 160 target respondents will be interviewed by a set of questionnaires via Google Form. The data collected were then keyed into the SPSS software and further analysed by using the Smart PLS software. The analysis result revealed that five factors which are performance expectancy, facilitating conditions, habit, hedonic motivation and trust, were found to have significant relationship to influence customer continuance intention of E-wallet use. It can be concluded that facilitating conditions and performance expectancy have shown as the most influential factor with significant positive effects in affecting the customer continuance intention of E-wallet use. In conclusion, all these findings emphasise the critical role by providing an insight to the e-wallet providers, e-wallet system developers, and future researchers with new ideas and suggestions for business innovation models regarding the perspectives of customer continuance intention towards the e-wallet services.