Continuance Usage Intention Research Articles

Impact of social influence on users' continuance intention toward sports and fitness applications.

The purpose of this paper is to explore how social influence (SI), which is disaggregated into subjective norms (SN), social image (SIM), and social identity (SID), predicts perceived usefulness (PU), perceived pleasure (PP), and continuance intention (CI) toward sports and fitness applications. The underlying context is the socialization and gamification of exercise during the Covid-19 pandemic. Based on the theory of SI and the technology acceptance model, a theoretical framework was built where PU and PP mediate the influence of SI on CI, and proposed hypotheses were tested. The responses of 296 Keep users (a popular sports and fitness application in China) to a questionnaire survey were analyzed. SN and SIM were found to have significant positive effects on SID; SID has significant positive effects on PU and PP; both PU and PP have significant positive effects on the CI of users; SID and PU positively and significantly mediate the relationship between SN/SIM and CI; PU positively and significantly mediates the SID-CI relationship. However, the role of PP in mediating the influence of SI on CI is non-significant. This paper deepens the current understanding of the mechanisms that influence the relationship between SI and CI under the context of socialization and gamification services.

Understanding gender differences in mHealth apps continuance: a modified protection motivation theory

PurposeThis paper aims that mobile health (mHealth) applications have emerged as a key tool to support public health. However, there are only a few studies examining the influences of health-related ascribes on continuance intention to use mHealth apps and how these influences are contingent on gender in the mHealth app using context.Design/methodology/approachThis study takes the protection motivation theory as a theoretical framework to examine the ordered relationship between threat and coping appraisals and their impacts on continuance intention to use mHealth apps. In addition, this study further extends the literature on gender differences into the mHealth app's context to investigate the moderating role of gender. The suggested hypotheses are confirmed by a structural equation modeling approach and multigroup investigation employing survey data of 345 users of Spring Rain Doctor in China, a typical mHealth app.FindingsThe findings suggest that the impact of perceived disease threat on user's continuance intention is mediated entirely by coping appraisals. Furthermore, the three coping appraisals' impacts are contingent upon gender. Specifically, response efficacy is more crucial for male users in forecasting continuance intention, whereas self-efficacy and response cost have a more salient influence on continuance intention for female users.Originality/valueThis study examines the ordered influences of threat and coping appraisal, moderated by gender, on continuance intention on use mHealth apps. These findings could contribute to relevant theoretical and practical implications.

Virtual tourism atmospheres: The effects of pleasure, arousal, and dominance on the acceptance of virtual tourism

Few studies have explored the factors influencing continuous usage intention toward virtual tours, such as dominance, pleasure, and arousal. To address this research gap, this study constructed an integrated framework and structural model based on the pleasure–arousal–dominance model to explore how certain factors (atmospheric and affective) affect consumers' continuous usage intention and word-of-mouth communication related to virtual tourism. This study examined the effects of ubiquity, telepresence, vividness, interactivity, and background music–environment congruency on users' feelings of pleasure, dominance, and arousal. The effects of these factors on word of mouth and continuous usage intention were also examined. A questionnaire was administered, and 509 valid questionnaire responses were used in the analysis; 63.5% of the respondents were women, and the respondents' mean age was 36.16 years. The overall fit of our structural model was acceptable, and the Cronbach's alpha values indicated adequate reliability. All the research hypotheses were supported, revealing that each factor affects the virtual tourism experience. This study also revealed that telepresence and vividness are related to pleasure derived from virtual tourism; this result is consistent with those of other studies. Telepresence and vividness also affect word-of-mouth communication and continuous usage intention. Thus, designers of virtual tours should pay particular attention to telepresence and vividness to ensure a positive virtual tourism experience. Researchers should examine other factors that affect usage intention and consumers' behavior.

THE EFFECT OF SOCIAL MEDIA CONTENT ON CUSTOMER ENGAGEMENT AND ITS IMPACT ON CUSTOMER INTENTION

The rising number of fitness centers compelled business professionals to implement effective marketing techniques. This study aimed to analyze and test the antecedent of content in social media marketing, namely social interaction (SI), service provider interaction (SPI), self-concept (SC), functional information (FI), and entertaining information (EI) on customer engagement, and its effect on continuous usage intention (CUI) and positive electronic word of mouth (E-WOM), moderated by health literacy. The conceptual framework was empirically tested on customers of the fitness club. A quantitative survey employing the cross-sectional data method was done. The respondents were selected based on specific criteria, and data was collected using a Likert-scaled online questionnaire. The sample consisted of 236 respondents, and data analysis was conducted using Partial Least Square-Structural Equation Modelling (PLS-SEM). The results demonstrated that engagement has an effect on continuous usage intention (CUI) and the propensity to spread positive E-WOM (PEW). In addition, Health Literacy has not demonstrated a substantial moderating influence. In exchange, health literacy is characterized as a predictor of moderation. The research outcome may have managerial consequences for the fitness facility administration discussed in this article.

The technological intervention in e-health management: evidence from Thailand

PurposeThe e-health services came up as an effective tool to mitigate effects of COVID-19 and following social distance norms. This study highlighted an issue of contentious usage intentions of e-health services among Thai older citizens. This study aims to examine the relationship of social influence (SI), information quality (IQ) and the digital literacy (DL) to contentious usage intentions.Design/methodology/approachThis study follows quantitative techniques, and the sample size is 140 to analyze, that is collected from the older Thai citizens. The convenient sampling technique was used to collect the data and the items were measured by using a five-point Likert scale.FindingsThe findings of this study are having mixed results. The effect of DL and satisfaction (SAT) on continuous usage intention (CUI) is significant. The effect of IQ and SI on CUI is non-significant. The effect of IQ and SI on SAT is significant. Further, the mediating effect of SAT between IQ and CUI is non-significant. However, the mediating effect of SAT between SI and CUI is significant.Originality/valueThis study contributes to knowledge by empirical testing of DL and usage of the medicine. Furthermore, to the best of the authors’ knowledge, this study is one of the rare studies that incorporate technological intervention for drug usage intentions.

Modelling the determinants of electronic tax filing services’ continuance usage intention

AbstractThe success of electronic filing services largely depends on their continuance usage. This study examines the factors affecting the continuance usage intention of the online tax filing services in Mauritius. An integrated model comprising Trust Theory and Information System Success Model (ISSM) is applied to assess the continuance usage behaviour of e‐filing systems. The model has been extended by adding two additional variables: Perceived Usefulness and Perceived Risk. The model was tested using a sample of 315 users of e‐filing services in Mauritius. A structural equation modelling technique using partial least square structural equation modelling verified the hypotheses. The results reveal that the continuance usage intention of an electronic tax filing system is influenced by Perceived Usefulness, User Satisfaction, and Service Quality. However, Perceived Risk does not influence the continuance usage intention of e‐filing systems since the importance of Perceived Risk diminishes as trust in the e‐service provider increases. The theoretical and practical implications derived from the findings of this study are also discussed. This paper makes several contributions to the literature on electronic tax filing systems.

Online social anxiety and mobile instant messaging adoption and continuance usage intention: How does it relate to social, technical, and mobility factors?

The rise in MIM apps usage have resulted in increased interruptions to people daily social life, causing distractions and online social anxiety. The purpose of this study is to investigate the influence of social, technical, and mobility factors on social anxiety, as well as the initial and continuation intention of users of MIM applications. We surveyed 231 Taiwanese users of the leading MIM app LINE. Smart-PLS was adopted to analyze social, technical, mobility, social anxiety, and MIM continuation intentions. Our findings show that online social anxiety can decrease both initial and continuation intentions for MIM apps. Moreover, online social anxiety moderates the relationship between initial and continuance adoption intentions. However, social, technical, and mobility factors appears to have positive influences on the initial MIM adoption intention. Therefore, the three factors can be integrated to promote MIM app use without increasing social anxiety.

Exploring the Factors Affecting the Continued Usage Intention of IoT-Based Healthcare Wearable Devices Using the TAM Model

There have been many attempts to predict new markets, including a new market for internet of things (IoT)-based healthcare and the IoT platform’s ability to offer a variety of applications. It is anticipated that the market for these devices will continue to grow as the healthcare sector undergoes fast expansion. IoT can measure a user’s kinetic data (calorie consumption, distance, number of steps, etc.) using wearable healthcare equipment. Most of the recent top research on IoT-based healthcare wearable devices (IWHDs) has, up to this point, concentrated on potential users. The medical industry and healthcare are being quickly changed by the use and adoption of wearable healthcare devices. This study intended to uncover the mediating impacts of “perceived ease of use”, “perceived usefulness”, and “community immersion” on the interactions between influencing factors (personalization, service convenience, interactivity), and the intention to utilize IHWDs. The moderating role of a consumer’s innovativeness in the influence link between IHWD features on perceived ease of use and perceived usefulness was also examined. The study found that personalization has a direct (+) impact on usage intention. Through this, it would be feasible to raise the intention of wearable medical devices being accepted if customized benefits that are thoroughly examined just for individuals are supplied. The association between personalization and continued use intention was shown to be partially mediated by perceived utility and community immersion. Additionally, the association between interactivity and continued use intention, was fully mediated by perceived usefulness and community immersion. By analyzing the elements influencing the usage intention of wearable healthcare devices, this study offers a marketing plan to increase the number of users. The internet of medical things (IoMT) sector has had compound growth of approximately 26% from 2018 to 2021, which is a remarkable accomplishment. The effectiveness of factors affecting IoT usage was examined in this study when applied to the actual IoT industry. First, patients with diabetes who previously had to check their blood sugar levels through a blood test can now check it through lifestyle management and steady glucose monitoring through IoMT glucose monitoring when the convenience and individuality of the service are improved. So far, 10% of all Americans have benefited from this device. Second, as an illustration of interactivity, an IoMT-connected inhaler used to assist asthma sufferers with breathing, notifies the user when the inhaler is left at home and reminds them of appropriate times to use the device. This subsequently resulted in saving 1 life out of every 3 deaths. In addition, the findings of this study may also provide a turning point for the design and development of cutting-edge IoT-based healthcare goods and services.

An Empirical Study on Continuous Usage Intention of Food Delivery Apps

In with the spread of COVID-19, the use of technology-based services that minimize face-to-face is increasing. In this context, the food delivery app (FDA) is characterized by minimizing face-to-face contact in the process of consumers ordering and receiving food. Therefore, the purpose of this study is to find out the mechanism that affects the intention of continuous use based on PAM for FDA users. The study sample selected residents of Korea who were over 20 years of age and used the FDA at least once in the past three months. Data collection was carried out for about one month from January 18 to February 12, 2020. Structural equation model analysis was conducted using 261 of the collected data. The results are expected to add depth to the research field related to the app-based O2O service area, and to be used as data that can contribute to the establishment of platform business strategies.

Why would telecom customers continue to use mobile value-added services?

This study seeks to explain why telecom customers would continue to use mobile value-added services (MVAS), including information, communication, entertainment, and transaction services. We developed a model based on the S-O-R paradigm and existing research on MVAS and mobile service quality, in which we hypothesize that customers' intention to continue using MVAS as a behavioural response (R) is a direct result of their satisfaction with the services and their perception of its value as affective and cognitive states (O), respectively. The developed model also recognizes the importance of mobile service quality (S) in terms of characteristics and features in developing customer satisfaction and perceived value. In this investigation, mobile service quality aspects: customer service, service content, and mobile network quality are utilized as stimuli. The data was collected from 371 respondents utilizing an online survey instrument. PLS-SEM with SmartPLS3 software was used for data analysis. While both customer satisfaction and perceived value have direct positive influences on continuance usage intention, the customer satisfaction effect is more significant, according to the structural findings. Moreover, customer service quality, service content quality, and mobile network quality were all discovered to be direct predictors of perceived value. In contrast, mobile network quality was not revealed to be a significant predictor of customer satisfaction. This paper is one of the few investigating the major factors contributing to the continued use of MVAS in the Arab world. This work adds to the growing knowledge on post-adoption in mobile services and business. This investigation provides crucial suggestions for decision-makers in the mobile telecommunications industry from a practical standpoint.

Impact of technology, health and consumer-related factors on continued usage intention of wearable fitness tracking (WFT) devices

PurposeThis paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).Design/methodology/approachThe study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.FindingsResults indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.Research limitations/implicationsThe results may be limited to the context of the sample and the factors considered. The study suggests future research areas.Practical implicationsThe paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.Originality/valueThe study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort

The principal goals of smart cities are to improve citizens' quality of life and foster economic growth while ensuring efficient service delivery and sustainable development. Accordingly, understanding and adequately meeting citizens' needs and desires is a fundamental step toward improving citizens' happiness. While prior studies have investigated the direct relationship between technology readiness and continuous intention to use the services, extant results are still fragmented. Hence, this study examines the relationship between citizens' readiness and intention to continue usage by introducing satisfaction and discomfort as mediators in a smart city services (SCS) context. We rely on a mixed-method approach to propose and validate a new readiness model for assessing smart city citizens' readiness for continuous usage and long-term adoption of SCS. In the first phase, qualitative research was used by conducting in-depth interviews with SCS experts to investigate and theorize the main factors perceived as enablers and inhibitors to the continuous usage of SCS. While in the second quantitative phase, data were collected from 350 citizens and structural equation modeling was employed to test the proposed hypotheses. The findings suggest three main enablers (empowerment, optimism, and innovativeness) and three main inhibitors (insecurity, mistrust, and legal considerations) that affect the intention to continuously use SCS. In the quantitative phase, satisfaction and discomfort emerged as mediators to intention of continuous usage. Moreover, we found that empowerment, innovativeness, and optimism enhance the continuous usage of SCS when mediated by satisfaction but have no significant effect when mediated by discomfort. Discomfort was found to be an effective mediator between inhibitors and continued usage intention. Our study highlights the role of technology readiness as a personality trait in shaping user satisfaction, discomfort, and intention to continue using SCS. Furthermore, it proposes a new scale and model for measuring users’ readiness to adopt and continuously use SCS. The proposed model has practical implications for SCS providers, and can inform the design of future SCS and ensure their sustainable and successful adoption by citizens, not only initially, but also in the long-term.

EFFECT OF BEHAVIOR CHANGE TECHNIQUES ON USERS' CONTINUANCE INTENTION OF HEALTH MANAGEMENT APPS

With the explosive growth of global consumer needs for mobile health services, health management applications (HM APPs) have aroused extensive social attention. Most of the existing studies have been based on Expectation Confirmation Theory, whereas few studies have explored the intention of continued use of HM APPs from the technology appropriateness perspective. This study empirically analyzed the impact of behavior change techniques (BCTs) on the continuance intention (CI) of HM APPs users by using the Partial least squares structural equation model. Data were collected from a sample of 334 Chinese users. Results demonstrate that appropriate matching of BCTs plays a notable determinative role on user CI; perceived usefulness, satisfaction, and perceived switching cost (PSC) have significant positive effects on user CI and play mediating effects between BCTs and CI. It is also found that BCTs are significant predictors for user PSC, but the positive effect of satisfaction on user PSC is insignificant. This study reveals the mechanism of how BTCs influence the users’ decision on whether or not to continue using HM APPs. The proposed implications can serve as a reference for academics and practitioners. Keywords: Behavior change techniques, health management APPs, continuance intention, expectation-confirmation theory

Factors Affecting Learners’ Adoption of an Educational Metaverse Platform: An Empirical Study Based on an Extended UTAUT Model

This study examined the factors affecting learners’ adoption of an educational metaverse platform using an extended UTAUT (unified theory of acceptance and use of technology) model and incorporating perceived risk. Data were derived from a survey of 495 respondents from China and analyzed using structural equation modeling. The results revealed that (i) performance expectancy, effort expectancy, social influence, and facilitating conditions had significantly positive effects on learners’ satisfaction with the Eduverse; (ii) learners’ satisfaction had a positive effect on their continued usage intention; (iii) learners’ intention to use the Eduverse was reduced after they perceived risks. Our study provided empirical evidence of the validity of the UTAUT model in explaining learners’ adoption of the Eduverse. Our findings have significant practical implications for enterprises, educational institutions, and governments.

An Integrated Model for Predicting the User Continuance Intention towards Utilizing Open Government Data

An Integrated Model for Predicting the User Continuance Intention towards Utilizing Open Government Data

The influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications: a technology threat avoidance perspective

ABSTRACT Though an increasing number of tourists are experiencing big data-enabled price discrimination, the influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications has been largely ignored by existing literature. This is the very first attempt to explore this research topic. Specifically, this paper aims to explore the influence of big data-enabled price discrimination on tourists’ continuance usage intention to mobile applications by extending the technology threat avoidance theory (TTAT). One thousand and two valid questionnaires were collected based on purposive and snowball sampling. Structural equation modelling (SEM) method was used to test the proposed the research model. The findings indicated that both perceived price fairness, threat appraisal, and perceived deception have significant impacts on tourists’ countenance usage intention to the mobile applications after experiencing big data-enabled price discrimination. Threat appraisal was also found to significantly influence avoidance intention and emotion-focused coping. Moreover, this study revealed that avoidance intention significantly impacts emotion-focused coping, while avoidance intention does not significantly influence tourists’ countenance usage intention. Importantly, perceived switching cost moderates two relationships: threat appraisal-continuance usage intention and perceived deception-continuance usage intention. In addition to the theoretical contribution, practical implications are also discussed.

Consumer data vulnerability, peer privacy concerns and continued usage intention of sharing accommodation platforms: the moderating roles of perceived benefits

PurposeThis study aims to explore the relationships between consumer data vulnerability, peer privacy concerns and consumers' continued usage intention of sharing accommodation platforms, as well as the moderating effects of the various benefits perceived by consumers.Design/methodology/approachData were collected from 327 consumers of sharing accommodation platforms in China. Partial least squares (PLS)-structural equation modeling (SEM) was conducted to test the research hypotheses.FindingsThe results suggest that both consumer data vulnerability and peer privacy concerns have negative effects on consumer's continued usage intention of sharing accommodation platforms, which can be further mitigated by consumer perceived economic, social and emotional benefits. This study also finds that consumer data vulnerability has a positive effect on consumer's peer privacy concerns.Practical implicationsThis study gives that managers of sharing accommodation platforms a better understanding of how consumers respond to their data vulnerability on sharing accommodation platforms. In addition, this study also highlights the measures that platforms may employ to mitigate the negative influence of consumer data vulnerability and consumers' peer privacy concerns, as well as the measures to reduce consumers' peer privacy concerns.Originality/valueWhile previous studies mainly examined the driving forces of consumers' engagement in sharing accommodation, this study focuses on the impediment. With communication privacy management theory to explore the relationships between consumer data vulnerability, peer privacy concerns and continued usage intention of sharing accommodation platforms, as well as the moderating effects of consumers' perceived benefits, this study facilitates a more comprehensive understanding of consumers' engagement in sharing accommodation.

Why do people continue using mobile wallets? An empirical analysis amid COVID-19 pandemic

This paper aims to formulate and test a comprehensive model by integrating the strengths of the TAM and IS success model and the addition of two constructs, namely promotional offers and situational influence, to explain the continued usage intention of mobile wallets. Using an online survey, data were gathered from 588 mobile wallet users who had prior experience using mobile wallets for more than six months. The data were examined using the partial least square-structural equation modelling to investigate relationships between variables and test the hypothesised model. The proposed model disclosed 62.6% of the variance in continued usage intention. The situational influence of COVID-19 emerged as the strongest predictor, followed by satisfaction. This study offers valuable insights to service providers and policymakers involved in executing and deploying mobile wallet services. For academicians, this research presents a comprehensive framework that investigates the continued usage of mobile wallets.

Does Gratification Value Influence the Usage Intention of Facebook?

The study explores the dimensions of gratification value and its effects on user satisfaction and continued usage intentions, along with the influence of social pressure and habits in a Facebook context. We collected 253 survey data and analyzed by structural equation modeling. Our study shows that functional, hedonic, social presence, social interaction and media appeal are the prime dimensions of gratification value, which have a significant positive impact on user satisfaction and continued usage intentions, with social pressure as well. Satisfaction has a direct influence on continued usage intentions and habit, and plays an important mediating role in the model. This study will contribute to the knowledge of social media research and practitioners should focus these insights to increase user satisfaction and continued usage intentions of social media.

Stimuli Influencing Engagement, Satisfaction, and Intention to Use Telemedicine Services: An Integrative Model.

Telemedicine ensures quality, cost-effective, and equally accessible healthcare services for everyone. Nonetheless, a poor usage rate could curb its progression in developing cultures like Bangladesh. Therefore, this research examines how external stimuli promote the continuous usage intentions of synchronous telemedicine services through engagement and satisfaction by deploying the stimulus-organism-response framework. A final sample of 312 telemedicine users was analyzed using the structural equation modeling in AMOS. The average age of the participants was 26.28 (std. deviation 5.53), and their average use of telemedicine was 2.39 times (std. deviation 1.31) over the last six months. This study empirically endorsed that the stimuli, including performance expectancy, information quality, and contamination avoidance, as well as organismic factors such as engagement and satisfaction, directly impacted the continuance desires for telemedicine use. In addition, the analyses validated the mediation roles of engagement and satisfaction. Furthermore, performance and effort expectancies influenced engagement, which affected satisfaction along with performance expectancy, functionality, and information quality. Accordingly, telemedicine facilitators should integrate these critical attributes into the system to sustain engagement, satisfaction, and usage intentions. This study has pioneered the effects of performance and effort expectancies on continuous usage intentions facilitated by engagement and satisfaction in the telemedicine landscape.