Continuance Intention Research Articles

Understanding the moderating role of trust on continuance intention towards smartphone banking services: empirical evidence from Vietnam

Understanding the moderating role of trust on continuance intention towards smartphone banking services: empirical evidence from Vietnam

Sustainable of e-learning environments: Model of continuance intention

Sustainable of e-learning based on continuance intention use of technology. E-learning reduce the environment impact, minimized the forestation and paper waste. This study examines the relationship between organisational support, satisfaction with e-learning, and the intention to continue using e-learning within an organisational setting. The study employed a quantitative survey methodology to gather data from students (undergraduate program), with the utilisation of an online questionnaire for data collection. A total of 642 students participated as respondents in the study, and the data was analysed utilising the SmartPLS software. The analysis was conducted based on research hypotheses. The study’s results show a strong link between organisational support and both e-learning satisfaction and desire to continue, which highlights how important it is to have long-lasting support systems. Furthermore, e-learning happiness is found to increase the desire to keep using e-learning platforms, which has long-term implications for their viability. These results are very important for colleges in Indonesia that are starting to use e-learning because they show how important it is to keep supporting students in all areas, including hardware, software, and people. The study does, however, make us think about how long these support systems will last and highlights the need for more research into the core factors that contribute to organisational support in the field of e-learning. Support systems that last must be in place for e-learning programmes to continue to work. More study can help us understand how to keep and improve these systems.

The influence of affinity on the continuance intention of local government information systems using the technology acceptance model

Affinity is precisely used for user acceptance of the local government information system (SIPD), which is a mandatory system. Affinity is capable of influencing users’ perceptions of interest and common interests, thereby encouraging users to continue using the SIPD system. This research aims to empirically test perceived affinity towards the continuance intention (CI) of using the SIPD by using technology acceptance model (TAM) constructs as mediating factors. A total of 100 respondents, who are active users of the SIPD in 24 districts/cities, participated in this study. Data collection was conducted using an online questionnaire. Data processing was performed using structural equation model (SEM) in the Smart PLS. The research results show that affinity significantly influences the CI of using the SIPD system, both directly and through the mediation of TAM constructs, namely perceived usefulness and perceived ease of use. Thus, this research provides an important contribution by demonstrating that affinity plays a relevant role and is suitable for implementation in mandatory systems like SIPD. By understanding user affinity, authorities can better comprehend users’ perceptions and attitudes, which in turn can help enhance the acceptance and sustainability of SIPD system usage in the South Sulawesi region.

Students’ Intention to Learn and Academic Performance in the Blended Learning Environment: The Role of Artificial Intelligence Chatbots

In the era of universal digitalization, new technologies and services are being created, among which we can highlight the development of chatbot technologies that can be effectively used in the educational process and that will be of interest to representatives of the younger generations. The current study aims to reveal the influence of artificial intelligence chatbot integration on students’ intention to learn and their academic performance in the blended learning environment. The research framework includes 7 key indicators: Satisfaction (SAT), Perceived Usefulness (PU), Attitude (ATD), Subjective Norms (SN), and Perceived Behavioral Control (PBC), Continuance Intention to Learn (CIL) and academic performance (AP), which are evaluated in traditional blended learning setting (N=104) and blended learning based on artificial intelligence chatbot (N=107). For comparison we used the average scores, standard deviations (σ) of students on 23 items and student’s t-test for independent samples. We also calculated Pearson correlation coefficient for all analyzed. The results of the current study confirmed the positive influence of artificial intelligence usage during the blended learning as it increases students’ attitude, satisfaction and perceived usefulness which directly and highly affects the intention to continue learning and academic performance.

Sustaining College Students’ Continuance Intention Toward Online Learning in the Post-COVID-19 Era

Sustaining College Students’ Continuance Intention Toward Online Learning in the Post-COVID-19 Era

Financial naivety, excessive gaming, and compulsive buying influence cryptocurrency continuance intention: The mediating role of overconfidence and risk tolerance

Financial naivety, excessive gaming, and compulsive buying influence cryptocurrency continuance intention: The mediating role of overconfidence and risk tolerance

Students’ Perceptions of Google Tools on Supporting Self-Regulated Learning in an Asynchronous Course

The study investigated students’ perceptions regarding the use of an integrated set of five Google Tools (i.e., Google Classroom, Google Sites, Google Slides, Google Docs, and Google Forms) in creating a Computer-Mediated Communication (CMC) environment for self-regulated learning in an asynchronous course. Using a mixed-method convergent research design, a single online questionnaire comprising close- and open-ended questions was used to collect quantitative and qualitative data. Purposive sampling was employed, and two cohorts of undergraduate education majors were chosen. 114 participants completed the questionnaire. Quantitative data from Likert items were subjected to descriptive analysis and supplemented with students’ open-ended narratives, while specific qualitative data were examined with inductive thematic analysis. The quantitative findings revealed that students positively perceived the integrated set of Google Tools in terms of its usefulness, ease of use, confirmation, satisfaction, and continuance intention for supporting their self-regulated learning. The qualitative findings highlight students’ predominantly positive perception of Google Classroom as a Learning Management System (LMS) for self-regulated learning, stemming from its ease of use, efficient interface, and notification and reminder features. Minimal instances of other perceptions were also observed. The study proposes practical implications for educators to facilitate students’ online self-regulated learning by leveraging and integrating these five Google Tools in forming a CMC environment. Recommendations include allocating adjustment time and practice tasks to help students familiarize with the tools for smooth online learning.

Understanding peer-to-peer mobile payment continuance intention: a privacy calculus perspective

Understanding peer-to-peer mobile payment continuance intention: a privacy calculus perspective

Examination of the effect of consumer comments on e-commerce sites on continuance intention to online shopping within the scope of social exchange theory

Examination of the effect of consumer comments on e-commerce sites on continuance intention to online shopping within the scope of social exchange theory

Nurses' continuance intention to use electronic health record systems: The antecedent role of personality and organisation support.

Nurses play a crucial role in the adoption and continued use of Electronic Health Records (EHRs), especially in developing countries. Existing literature scarcely addresses how personality traits and organisational support influence nurses' decision to persist with EHR use in these regions. This study developed a model combining the Five-Factor Model (FFM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the impact of personality traits and organisational support on nurses' continuance intention to use EHR systems. Data were collected via a self-reported survey from 472 nurses across 10 public hospitals in Jordan and analyzed using a structural equation modeling approach (Smart PLS-SEM 4). The analysis revealed that personality traits, specifically Openness, Experience, and Conscientiousness, significantly influence nurses' decisions to continue using EHR systems. Furthermore, organisational support, enhanced by Performance Expectancy and Facilitating Conditions, positively affected their ongoing commitment to EHR use. The findings underscore the importance of considering individual personality traits and providing robust organisational support in promoting sustained EHR usage among nurses. These insights are vital for healthcare organisations aiming to foster a conducive environment for EHR system adoption, thereby enhancing patient care outcomes.

Preliminary Study on the Gratification and Continuance Intention of Chinese Audiences in Relation to Online Film Festivals

Preliminary Study on the Gratification and Continuance Intention of Chinese Audiences in Relation to Online Film Festivals

What drives continuous intentions towards mobile payment services: Probing the users' psychology from information quality, service quality, and system quality perspective.

What drives continuous intentions towards mobile payment services: Probing the users' psychology from information quality, service quality, and system quality perspective.

An empirical investigation of users' continuance intention to use cloud storage service for organisational uses

An empirical investigation of users' continuance intention to use cloud storage service for organisational uses

Continuance Intention to Use Gamified Mobile Apps for English Speaking Skills Learning in Chinese English as Foreign Language (EFL) Higher Education

Continuance Intention to Use Gamified Mobile Apps for English Speaking Skills Learning in Chinese English as Foreign Language (EFL) Higher Education

Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.

Women's health WeChat public accounts play a crucial role in enhancing health literacy and fostering the development of healthy behaviors among women by disseminating women's health knowledge. Improving users' continuous usage behavior and retention rates for the women's health WeChat public account is vital for influencing the overall effectiveness of health communication on WeChat. This study aimed to construct a comprehensive model, delving into the key factors influencing women's continuance intention of the women's health public accounts from the perspectives of perceived health threats, individual abilities, and technological perceptions. The goal is to provide valuable insights for enhancing user stickiness and the effectiveness of health communication on WeChat public accounts. An online survey was conducted among women receiving gynecological care at a certain hospital to gage their willingness for sustained use of the women's health WeChat public accounts. Through structural equation modeling, the study investigated the influencing factors on women's sustained intention to use the women's health WeChat public accounts. The study included a total of 853 adult women. Among them, 241 (28.3%) women had followed women's health official accounts in the past but do not currently follow them, 240 (28.1%) women had followed women's health official accounts in the past and are still following them, and 372 (43.6%) women had never followed women's health official accounts. Currently, 240 women are still browsing women's health public accounts, 52 of whom read women's health public accounts every day, and most of them read women's health public accounts for 10-20 min at a time (100, 11.7%). The results of the structural equation model revealed that performance expectancy, social influence, hedonic motivation, habit, and e-health literacy had significantly positive effects on women's sustained intention to use public accounts (performance expectancy: β = 0.341, p < 0.001; social influence: β = 0.087, p = 0.047; hedonic motivation: β = 0.119, p = 0.048; habit: β = 0.102, p < 0.001; e-health literacy: β = 0.158, p < 0.001). E-health literacy and self-efficacy indirectly influence sustained intention by affecting performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. The effect sizes of e-health literacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.244 (p < 0.001), 0.316 (p < 0.001), 0.188 (p < 0.001), 0.226(p < 0.001), 0.154 (p < 0.001), and 0.073 (p = 0.046). The effect sizes of self-efficacy on performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit were 0.502 (p < 0.001), 0.559 (p < 0.001), 0.454 (p < 0.001), 0.662 (p < 0.001), 0.707 (p < 0.001), and 0.682 (p < 0.001). Additionally, perceived severity and perceived susceptibility indirectly affected sustained intention by influencing performance expectancy and social influence. The effect sizes of perceived severity on performance expectancy and social influence were 0.223 (p < 0.001) and 0.146 (p < 0.001). The effect size of perceived susceptibility to social influence was 0.069 (p = 0.042). Users' e-health literacy, self-efficacy, perception of disease threat, and users' technological perceptions of the WeChat public accounts are critical factors influencing women's continuance intention of using the WeChat public accounts. Therefore, for female users, attention should be given to improving user experience and enhancing the professionalism and credibility of health information in public account design and promotion. Simultaneously, efforts should be made to strengthen users' health awareness and cultivate e-health literacy, ultimately promoting sustained attention and usage behavior among women toward health-focused public accounts.

Continuance intention to use the e-administration information portal by non-teaching staff in selected universities in Southwesternern Nigeria

This study investigated the continuance intention to use the e-administration of information portal of senior non-teaching staff in selected universities in Southwestern, Nigeria. The study‟s design was a correlational survey. Simple random sampling was used to select three hundred and fifty-two (352) senior non-teaching staff, in the selected universities. A questionnaire was used for data capturing. Data were analyzed with frequency, percentages, mean and standard deviation in order to answer research questions and Pearson‟s product moment correlation used to test the hypothesis. Findings revealed that the continuance intention of senior non-teaching staff to use the e-administration information portal is positive (x = 3.13), the university portal is one of the most utilized e-administration tools (83.4%), while there was an inversely significant relationship between continuance intention to use and use of the e-administration information portal (r = -.254; p&lt; 0.05; N = 320). It was recommended among others that the university management should ensure that more administrative services be incorporated into the e-administrative system to ensure that there is a seamless execution of day-to-day activities among non-teaching staff.

An Exploration of Factors Influencing Users’ Continuance Intention of Smart Locks

An Exploration of Factors Influencing Users’ Continuance Intention of Smart Locks

Factors Influencing Student Intention to continue using E-learning Platform Post Covid-19 Pandemic: Case Study of University of Nusa Nipa Indonesia

This study aims to investigate students’ intention to continue using e-learning platforms post the Covid-19 pandemic. This research proposed a theoretical model by adopting the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) theory and developed it using factors derived from student personal traits and lecturer skills in developing interaction in the platform. The model was validated using 466 feedbacks from active students at Nusa Nipa University who had used online learning during the COVID-19 pandemic. The finding shows that habit and Lecturer interaction significantly directly affect students' continued intentions to use e-learning.

Post-adoption model of mobile payment in Indonesia: Integration of UTAUT2 and the dedication-constraint perspective

Heading towards a cashless society, consumers have undergone a significant shift toward mobile payment services after COVID-19. The proliferation of various mobile payment applications has resulted in low consumer loyalty to mobile payment providers. Thus, continuance intention of mobile payments becomes crucial for mobile payment providers. The integration of UTAUT2 and the dedication-constraint-based mechanism are adopted to elaborate approach in retaining customers. The dedication mechanism is built by examining antecedents of satisfaction. Meanwhile, the constraint mechanism is driven by switching costs, preceded by habit and economic incentives. A total of 297 mobile payment users participated by filling out questionnaires in a field survey. The results show that the dedication mechanism dominates in creating satisfaction by increasing perceived usefulness, while the constraint mechanism is more influenced by habit than economic incentives. This research provides insights for mobile payment providers to enhance satisfaction by understanding consumers' needs in using mobile payments and to increase switching costs by fostering habit, thereby encouraging continuance intention of mobile payments in the future.

The influence of information security factors on the continuance use of electronic wallet

Electronic wallet (e-wallet) has become one of the emerging financial technologies. This study aims to analyze the influence of information security on the continued use of e-wallets in Indonesia using the expectation confirmation model (ECM). We involved 522 e-wallet users and processed the data using partial least square equation modeling. The results indicate that information provided, user privacy, encryption, and transaction process affect perceived security. Perceived security affects confirmation and satisfaction and satisfaction influences continuance intention. This study provides user perspectives on security factors to ECM and can be used as a reference for e-wallet providers in evaluating their services.