Influence Continuance Intention Research Articles

Retraction Note: Factors influencing continuance intention of participants in crowdsourcing

Retraction Note: Factors influencing continuance intention of participants in crowdsourcing

Listening to Your Own Willingness to Continue Using Contact Tracing Apps: The Roles of Personal Norms

COVID-19 became a global epidemic after its breakout in December 2019. With the help of information technology, many countries developed contact tracing systems to reduce the spread of the epidemic. Although the WHO declared in May 2023 that COVID-19 is no longer a global public health emergency, the virus is still constantly changing and endangering individuals worldwide. In Taiwan, Social Distancing APP is a voluntary contact tracing app that has been downloaded and utilized approximately 9.5 million times. However, adoption remains low. To prevent the spread of the epidemic and encourage more people to use it, understanding the factors influencing continuance intentions to use social distancing apps is an important topic. The research model is composed of two parts: the modified expectation confirmation model (ECM) and personal norms. Our research model was assessed using data from a sample of 501 users of social distancing apps and was analyzed using the partial least squares structural equation model (PLS-SEM). The results of this study suggest that (1) personal norms are the most important factor influencing continuance intention, followed by satisfaction, perceived usefulness, and descriptive norms; (2) personal norms fully mediate the relationship between injunctive norms and continuance intention; (3) personal norms partially mediate the relationship between descriptive norms and continuance intention; (4) personal norms negatively moderate the relationship between satisfaction and continuance intention; and (5) personal norms positively moderate the relationship between disappointment and continuance intention. This study also discusses the implications of a modified ECM and personal norms for continuance intention to use contact tracing apps.

Factors influencing continuance intention in blended learning among business school students in China: based on grounded theory and FsQCA

ABSTRACT This research study aims to explore the factors that influence continuance intention in Blended learning (BL) among business school students in China. By employing a grounded theory approach and utilizing the Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, the research investigates the complex interplay of various variables that contribute to business school students’ intention to continue participating in BL programs. The study includes a comprehensive analysis of factors such as self-efficacy, perceived usefulness, task-technology fit, social influence, and satisfaction. The findings provide valuable insights into the factors that drive business school students’ continuance intention in BL, specifically within the business school context in China. Moreover, the study highlights the non-linear relationships and various configurations of these factors that result in high levels of continuance intention. The results contribute to the existing knowledge base and inform educational institutions in designing effective strategies to enhance business school students’ engagement and promote the long-term success of BL initiatives.

The impact of self-conscious emotions on the continuance intention of digital voice assistants in private and public contexts

Digital voice assistants (DVAs) are application programs that can understand and interpret natural language voice commands. They are embedded in various products like smartphones and smart speakers and have thus become integral in everyday life, interpersonal communications, and social relationships. Despite users tend to humanize DVAs, emotions that arise in interpersonal interactions such as self-conscious emotions (i.e., pride, shame, guilt, and vicarious embarrassment) and their influence on human-machine interaction remain unstudied. Grounding on regulatory focus theory, we argue that these emotions are fundamental for promoting or preventing future DVA use. Additionally, drawing on social influence theory, we contend that the influence of self-conscious emotions on continuous DVA use varies across specific usage situations. Thus, we extend the expectation-confirmation model with self-conscious emotions and empirically compare user reactions between different social scenarios (alone and with friends in private vs. public places). Analyzing 860 DVA user responses through structural equation modeling and multigroup analysis, our findings reveal that pride consistently positively influences continuance intention across all social contexts. Furthermore, shame acts as an important inhibitor of continuance intentions in public, while guilt inhibits continuance intentions in private places. Vicarious embarrassment, however, does not exhibit significant effects in any scenario. These results carry valuable implications for both research and management in understanding and optimizing DVA user experiences.

Disentangling composite influences of social connectivity and system interactivity on continuance intention in mobile short video applications: The pivotal moderation of user-perceived benefits

The expeditious proliferation of wireless network technology has caused the widespread integration of mobile short video apps into our daily routines, offering unprecedented opportunities for information dissemination and interactive communication. Despite extensive researches on the interactivity of mobile short video app, there has been a limited focus on understanding the underlying factors that contribute to users' perceived benefits and continuance intention. Leveraging insights from preceding studies, this study develops a conceptual research model that investigates how two distinct facets of interactivity, namely social interactivity and system interactivity, influence users' perceived benefits from mobile short video apps, ultimately impacting their intention to continue using them. This analysis rigorously scrutinizes data garnered from 808 users of mobile short video applications, employing structural equation modeling to validate the proposed hypotheses. The findings conclusively reveal that interactivity significantly affects users’ perceived benefits from mobile short video apps. Moreover, the study elucidates that perceived benefits from these apps are the significant predictors of continuance intention. Furthermore, interactivity could indirectly influence continuance intention via the mediation of perceived benefits. These findings possess the potential not only to augment our comprehension of perceived benefits and continuance intention from the interactivity perspective but also to furnish valuable insights for scholars in the field. The research sheds light on effective methodologies to encourage the adoption of mobile short video applications and to boost user engagement in a society oversaturated with mobile technology.

Factors influencing continuance intention to use Instagram among Wrocław University students

In the digital era, social networking sites have redefined how people connect worldwide. These platforms enable unprecedented global connections among friends, family, and even strangers, fostering a shared sense of community. This study focuses on Instagram, a pivotal platform launched in 2010, that allows users to share photos and videos enhanced by filters and editing tools. Instagram offers features like Stories, IGTV and Reels, nurturing creativity, fostering connections, and deepening the cultural impact. The research aims to analyse factors influencing individuals’ intentions to continue using Instagram. Employing the Expectation-Confirmation Model alongside variables such as sense of belonging, social interaction, passing time, information seeking, and self-expression, the study employed a survey method to figure out which variables determined the continued intention to use social networks among Wrocław University students. Data from 120 respondents were analysed, revealing support for nine out of ten hypotheses. Results revealed that a sense of belonging exerts the strongest influence on continued intent, followed by perceived usefulness, satisfaction, self-expression, information seeking, and social interaction. Notably, the passing time did not have a significant effect on continuance intention to use Instagram.

The Role of Trust on the Continuance Usage Intention of Indonesian Mobile Payment Application

Mobile payment is a fascinating innovation, developed by the banking and fintech industries. It is growing very fast, shadowing the popularity of smartphones in Indonesia. However, the continuance usage intention of mobile payment still needs to be determined. Based on prior studies, this study investigates trust as an important factor in promoting the m-payment continuance usage intention.Furthermore, drawing upon the innovation diffusion theory, the study uses the model by Shao et al. (2019) to investigate the antecedents of trust: mobility, customization, security, and reputation, and analyzes the moderating effect of gender on the relationship between trust and its antecedents. It also examines the impact of trust on the perceived risk and continuance intention; and the perceived risk on the continuance intention. The postulated links between the variables were tested using a survey design. With 225 respondents who are e-wallet users in Indonesia, the study finds a positive effect of reputation, security, and customization on trust. Trust positively influences continuance intention, while the link between trust and perceived risk is negative. Compared to the previous study by Shao et al. (2019), the current study finds insignificant relationships between mobility and trust, as well as between the perceived risk and continuance intention. Furthermore, there was no moderating effect of gender on the relationship between trust and its antecedents.

Understanding the opposing forces of continuance intention: a hybrid SEM-ANN approach

PurposeThis study looks to understand the opposing forces that would influence continuance intention. This is significant as users will take into account the positive and negative use experiences in determining their continuance intention. Therefore, this study looks to highlight the opposing forces of users’ continuance intention by proposing the Expectation-Confirmation-Resistance Model (ECRM).Design/methodology/approachThrough an online survey, 411 responses were obtained from mobile payment users. Subsequently, a hybrid approach comprised of the Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) was utilized to analyze the data.FindingsThe results revealed that all hypotheses proposed in the ECRM are supported. More precisely, the facilitating and inhibiting variables were found to significantly affect continuance intention. In addition, the ECRM was revealed to possess superior explanatory power over the original model in predicting continuance intention.Originality/valueThis study successfully developed and validated the ECRM which captures both facilitators and inhibitors of continuance intention. Besides, the relevance and significance of users’ innovative resistance to continuance intention have been highlighted. Following this, effective business and research strategies can be developed by taking into account the opposing forces that affect users’ continuance intention.

Determinants of Mobile Shopping Apps Continuance Intention: A Review and Proposed Conceptual Model

Mobile shopping apps have experienced significant global growth due to the widespread adoption of mobile devices in everyday life. The exponential expansion of mobile shopping app usage has brought up both opportunities and challenges for service providers. For online businesses, maintaining their current users is a vital means of gaining a competitive edge. Hence, the primary objective of this research is to develop a conceptual model to examine the factors that influence users' intention to continue using mobile shopping apps. The Expectation-Confirmation Model (ECM) and the Theory of Network Externalities offer initial foundations for developing a unified conceptual model. This research has the potential to make a substantial contribution to the understanding of factors that influence continuance intention to use mobile shopping apps. It can benefit academicians, online businesses, service providers and mobile marketing practitioners

Examining Turkish travellers’ non-immersive virtual heritage tour experiences through stimulus–organism–response model

PurposeThis study aims to examine how travellers’ non-immersive virtual heritage authenticity, sense of presence and virtual tour satisfaction stimulate their behavioural intentions (continuance and travel intention) within the stimulus–organism–response model.Design/methodology/approachA questionnaire was designed to survey Turkish travellers (n = 275) participating in a virtual tour. A structural equation modelling method was used to estimate the model and test the research hypotheses.FindingsResearch findings revealed that four out of six hypotheses were supported. Based on the study outputs, authenticity and sense of presence impact overall travellers’ satisfaction. Furthermore, satisfaction influences continuance intention and travel intention.Originality/valueThe study presents a pioneering effort to investigate tourists’ non-immersive virtual heritage tour experiences in a developing destination context through a theoretical framework.

Pengaruh Perceived Ease of Use, Perceived Usefulness, dan User Satisfaction terhadap Continuance Intention dalam Bertransaksi dengan Dompet Digital Shopeepay

This research aims to determine the influence of perceived ease of use, perceived usefulness, and user satisfaction, on continuance intention in transactions with the shopeepay digital wallet among generation Z in kebomas district. The type of research used is quantitative. The data used in this research is primary data obtained from respondents. This data collection technique is carried out by distributing questionnaires. Questionnaires were distributed offline and online. The population used in this research is generation Z men or women from kebomas district ranging from ages 16 to 23 years who have used the shopeepay digital wallet payment tool when making transactions. The sample used in this research was 110 respondents. The research results show that the perceived ease of use variable has no effect on continuance intention in transactions with the shopeepay digital wallet among generation Z in kebomas district. Meanwhile, the perceived usefulness and user satisfaction variables influence continuance intention in transactions with the shopeepay digital wallet among generation Z in kebomas district.

Exploring the Factors Influencing Continuance Intention to Use AI Drawing Tools: Insights from Designers

With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in the modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, the factors influencing designers’ continuance intention to use AI drawing tools remain ambiguous. This study is grounded in the expectation–confirmation model–information systems continuance (ECM-ISC) model, which is further refined and hypothesized in light of the characteristics of AI drawing tools. Using structural equation modeling, we analyzed 398 valid questionnaire responses. The results elucidated the relationships of key constructs, such as perceived usefulness, perceived ease of use, satisfaction, expectation confirmation, perceived playfulness, perceived switching cost, subjective norms, and perceived risk, on designers’ continuance intention. Notably, perceived ease of use, traditionally considered vital, did not result in a significant influence on continuance intention or perceived usefulness in this research. This insight offers new perspectives for AI drawing tool developers and designers, suggesting that while pursuing user friendliness, broader considerations affecting user decisions should be taken into account. This study not only enriches the theoretical framework but also provides valuable guidance for the practical field.

Factors influencing continuance intention to use mobile banking: an extended expectation-confirmation model with moderating role of trust

This study explores the impacts of user adaptation and its antecedents, including perceived usefulness, self-efficacy, and subjective norm on continuance intention towards mobile banking. Based on (1) extended expectation-confirmation model, (2) adaptive structuration theory for individuals, and (3) decomposed theory of planned behavior, and by incorporating user adaptation and trust perspectives, this study proposes and validates a research model by using convenient and snowball sampling techniques, face-to-face survey with a sample of 523 consumers of large banks in Vietnam. The partial least squares structural equation modeling SmartPLS 4.0 software is employed for data analysis. The research findings reveal that (1) except for subjective norm, perceived usefulness, satisfaction, adaptation, and self-efficacy significantly impact continuance intention; (2) trust moderates the relationship between adaptation and continuance intention. Theoretical and managerial implications are provided to broaden the information technology continuance literature, suggesting how banks should sustain strong relationships with mobile banking customers.

Determinants of Customers' Continuance Intention to Use Chatbots in e-Commerce

Artificial intelligence (AI) has revolutionized the e-commerce experience and opened up new ways for businesses to communicate with customers through chatbots. This study aims to investigate how factors of chatbots influence continuance intention in e-commerce. A quantitative approach was adopted to explore the impact of interactivity, compatibility, information quality, service quality on perceived usefulness, perceived enjoyment of chatbots. It also aims to explore the determinants of continuance intention in chatbot use. Empirical data is collected from 476 participants through an online survey using Google Form and analyzed using regression analysis by IBM SPSS software. The results of the study show that compatibility, information quality, service quality positively affect perceived usefulness and perceived enjoyment of chatbot. Perceived usefulness and perceived enjoyment are found to have significant influence on continuance intention. The study contributes to the literature of consumer behavior regarding technology adoption. It also contributes to the refinement of the TAM and presents practical insights to managers, chatbot designers, and customer service units in improving chatbots and enhancing continuance intention.

Insights into mobile learning continuance intention among school students and teachers via a hermeneutic phenomenological study during COVID-19

PurposeThis study aims to describe the m-learning experience of school students and teachers during the COVID-19 pandemic and explores the factors influencing the continuance intention of m-learning.Design/methodology/approachSemistructured interviews of 24 students and 09 teachers of schools in national capital territory (NCT) Delhi, India were conducted over 03 months and transcribed verbatim. A hermeneutic phenomenological design was used to interpret the text and bring out the “lived experiences” of m-learning.FindingsThe following 15 themes or factors influencing continuance intention emerged through the hermeneutic circle: (1) actual usage, (2) attitude, (3) context, (4) extrinsic motivation, (5) facilitating conditions, (6) intrinsic motivation, (7) perceived compatibility, (8) perceived content quality, (9) perceived mobile app quality, (10) perceived teaching quality, (11) perceived usefulness, (12) satisfaction, (13) self-efficacy, (14) self-management of learning and (15) social influence.Research limitations/implicationsThe study offers insightful recommendations for school administrators, mobile device developers and app designers. In addition, suggestions for effectively using m-learning during disasters such as COVID-19 have been provided. Several future research directions, including a nuanced understanding of m-assessment and online discussions, are suggested to enhance the literature on m-learning continuance.Originality/valueThe study enriches the literature on m-learning continuance. A qualitative approach has been used to identify relevant factors influencing m-learning continuance intention among secondary and higher secondary level (Grades 9 to 12) school students and teachers in India. In addition, a conceptual framework of the relationships among the factors has been proposed. Further, an analysis of the lived experiences of m-learning during the COVID-19 pandemic indicated several issues and challenges in using m-learning during disasters.

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.

Post-Pandemic: University Students’ Satisfaction on the Use of E-Learning

In 2020, approximately all universities worldwide abruptly closed due to an urgent public health issue to stop the COVID-19 epidemic from spreading. Unfortunately, even though some universities have undergone online teaching techniques before, they are not prepared to learn online fully. This research examines whether students’ attitudes, convenience flexibility, and schools’ support influence the continuance intention toward e-learning and whether satisfaction with e-learning is the mediator of the relationships above. This study was conducted in Malaysia and Indonesia after the COVID-19 epidemic to assess university students’ intent to continue using e-learning platforms. 160 college students in all took part in the research. This study reveals that satisfaction directly influences continuance intention whereas convenience flexibility and school support influence continuance intention when satisfaction came in and plays a role as a mediator. The link between students’ attitudes, convenience flexibility, school support, and continuance intention are mediated by their satisfaction with e-learning. To bolster students' contentment with e-learning, it is suggested for universities to fortify the convenience and flexibility of the system and improve the level of support provided by the institution.

RETRACTED ARTICLE: Factors influencing continuance intention of participants in crowdsourcing

In a dynamic business environment, the roles of contests and crowd-sourcing are increasingly acknowledged. However, the factors driving sustained participation in these arenas remain incompletely understood. To address this gap, our study investigates the factors that influence the ongoing engagement intentions of users on contest collection portals. We focus on the interplay between goal-congruent outcomes (GCO), search intention, and various motivational elements. We collected responses from 291 individuals between March 18 and 27, 2022, and conducted an analysis based on partial least squares structural equation modelling (PLS-SEM). Our analysis indicates that utilitarian motivation positively impacts both GCO and search intention. Career promotion specifically influences GCO, while rewards serve as key determinants of both GCO and search intention. Importantly, our findings underscore the role of GCO and search intention in shaping users’ intentions to continue participating. These insights offer significant implications for businesses and platform designers, emphasising the need to understand and cater to the diverse motivations of users to sustain their interest and engagement.

A uses and gratifications approach to examining users’ continuance intention towards smart mobile learning

Smart mobile learning (SML), an online learning system built on artificial intelligence technology, signifies a key development trajectory for mobile learning. However, the current literature reveals a research deficit in introducing specific constructs that represent the categorical level of gratification towards SML, and a new gratification for the intelligent dimension of SML has yet to be identified. Utilising the uses and gratifications (U&G) framework, this study identifies five categories of user gratification. These are derived from five theoretical perspectives, including the incentive theory of motivation, learning theory, diffusion of innovation theory, self-determination theory, and flow theory. Hence, this research integrates aspects of technology, content, social, utilitarian, and hedonic gratification to examine their influence on users’ continuance intention towards SML. This study focuses on Liulishuo, an SML app, as a typical research object and incorporates data from 495 valid samples. The analysis via partial least-squares structural equation modelling (PLS-SEM) indicates the hierarchical significance of various gratifications influencing continuance intention. The empirical findings suggest that in the realm of SML, users’ expectations surpass basic intrinsic needs in importance. For the first time, this study introduces the intelligence construct to investigate users’ technology gratification concerning SML, thereby empirically establishing the validity of this construct. This study reveals that technology gratification, embodied in the notion of intelligence, is the most critical determinant of continuance intention towards SML, a relationship that has previously remained unexplored.

The public's perception of an earthquake early warning system: A study on factors influencing continuance intention

This paper investigates the perceptions of the New Zealand public towards the Android Earthquake Alert (AEA) system, a public-facing earthquake early warning system. Specifically, it examines the public's continuance intention towards the AEA system and the influencing factors of satisfaction, confirmation, perceived usefulness, and perceived trust. To gather insights into the public's perceptions regarding the AEA system, this study distributed online surveys following two separate earthquake alert events on 12 October and 22 October 2021. A total of 524 and 671 participants responded to the two events' surveys, providing valuable data for analysis and exploration. Structural Equation Modelling of the two datasets revealed that the continuance model fit the data to some extent, especially on the significance of perceived usefulness and perceived trust to continuance intention. However, the results also showed varying results for satisfaction's relationship with perceived trust and continuance intention. These findings underscore the need for further investigation into the role of satisfaction and perceived trust, considering the evolving nature of EEW technologies and users' familiarity over time. The descriptive and inferential analysis results raised concerns about potential confusion around the alerts' source and highlighted the question of responsibility and liability for EEW. Overall, this study contributes to understanding continuance intention in the EEW context and provides insights into the public's perception of the AEA system in New Zealand. The findings have implications more broadly for EEW systems’ design, implementation, and communication strategies.