Continuance Intention Research Articles

Hedonic consumption of virtual rides entertainment service: a multi-method perspective: SEM and fsQCA

PurposePrior studies have put much emphasis on using the uses and gratification (U&G) theory to find out why people use games, social media, the Internet, e-shopping, etc. Despite past research efforts, the root causes underlying this phenomenon still need to be discovered as to why people use interactive virtual rides (vrides) entertainment services, especially when incorporating the hedonic consumption perspective (i.e. playful-consumption experiences). Considering the knowledge gap in the vrides’ context, this study aims to use the UGT to find out why people use the vrides entertainment service from a hedonic consumption point of view.Design/methodology/approachWith 217 usable responses, the research model was tested using partial least squares-based structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA).FindingsFindings reveal that only perceived enjoyment, arousal and sensory experience derive continuous intention behavior to consume vride entertainment service. Findings using the fsQCA revealed multiple causal configurations for the proposed outcome.Originality/valueThis study contributes to extending the assumption of UGT via incorporating the hedonic consumption perspective to explore the potential motives and intention to consume vrides entertainment services. Our study also discusses the important theoretical/practical implications of our findings. Besides, this study is unique because it shows both symmetrical and asymmetrical connections that help us understand why people keep using vrides entertainment service.

Exploring cognitive-behavioral drivers impacting consumer continuance intention of fitness apps using a hybrid approach of text mining, SEM, and ANN

Amidst the digital revolution, consumer wellness services have been transformed by the proliferation of health and fitness apps (HFAs). Leveraging the information systems continuance theory, this research investigates three primary cognitive and behavioral drivers involving satisfaction, attitude, and habit that impact continuance intention. It also examines the underlying antecedents of these drivers. The investigation into what shapes users' attitudes incorporates elements from the health belief model and the dual passion theory. Additionally, to determine what drives user satisfaction, the study analyzes online consumer reviews through structural topic modeling. This study utilizes a combination of topic modeling, PLS-SEM, and Artificial Neural Network (ANN) analysis for development and validation of conceptual model. After conducting a survey and analyzing 367 responses via PLS-SEM, the findings indicated that harmonious passion, health consciousness, and perceived disease threat greatly influenced users' attitudes toward these apps. The results emphasized satisfaction, attitude, and habit formation as crucial determinants of continued app use. An additional key contribution to the literature was the exploration of habit as a partial mediator between attitude and satisfaction in determining continued app usage, which has remained unexplored in the HFAs context. A comparison of results between the PLS-SEM and ANN analysis showed that there is a mismatch in the rankings of security and customization on satisfaction. This implies that there are possibly hidden factors that could affect security and customization differently in real-world settings. The study concludes by offering practical recommendations for managers of HFAs to enhance consumer service experiences and drive continuance intention.

IT professionals’ post-pandemic online learning: UTAUT model study

PurposeThis paper aims to examine employees’ online learning continuation intentions (OLCI), exploring factors such as performance expectancy (PE), effort expectancy (EE), social influence (SI), perceived benefits (PB) and management support (MS) influencing their commitment to online learning engagement.Design/methodology/approachThe Unified Theory of Acceptance and Use of Technology (UTAUT) model was expanded to include PB and MS constructs. This study used a quantitative research approach using purposive sampling techniques. Three hundred and eighty-six responses from Indian information technology (IT) professionals at various levels were analysed using Statistical Package for the Social Sciences-Analysis of Moments Structures tool.FindingsThis study found a strong positive influence of PE, EE, PB and MS on OLCI in the context of post-pandemic. Workplace learning rapidly generates outcomes if employees associate it with their career growth. However, the authors found that SI does not significantly affect OLCI.Originality/valueThis research is unique work in the area of workplace learning by evaluating the OLCI of IT professionals using the extended UTAUT model in a new normal. Moreover, this study contributes to online learning literature with a combined study of technology usage, continuance intention and organization learning and development.

Unveiling the complexity of social commerce continuance intention: a fuzzy set qualitative comparative analysis

PurposeComprehending the determinants influencing the sustained engagement in social commerce assumes paramount importance for its success, particularly within the context of developing countries. This study employs complexity theory to examine the antecedents of the intention toward social commerce continuance.Design/methodology/approachA structured online survey was designed to collect data regarding four behavioural factors: satisfaction, trust, online social support, and continuance intention. The net effect of each construct was evaluated using a symmetrical modelling technique, and to identify the asymmetric effect, the fuzzy-set qualitative comparative analysis was conducted.FindingsThe findings of the structural equation modelling confirmed the importance of satisfaction and online social support for continuance intention. The asymmetric analysis revealed three recipes leading to social commerce continuance intention and three combinations for its absence, contributing to understanding the complexity of online consumer decision-making.Research limitations/implicationsTheoretically, this research highlights the interplay between online social support, trust, satisfaction, and s-commerce continuance intention. Gaining insights into the main factors influencing social media participants' behaviour assists business organizations and policymakers to foster the growth, and the sustainability of the s-commerce.Originality/valueCombining two distinct methodologies, the findings of this paper allow for a comprehensive exploration of the multifaceted dynamics that underlie consumer behaviour and provide actionable insights for businesses seeking to refine their strategies within the dynamic realm of social commerce. Further, the study offers a valuable roadmap for marketers and policymakers to enhance consumer relationships and augment the efficacy of social commerce initiatives.

If I Enjoy, I Continue: The Mediating Effects of Perceived Usefulness and Perceived Enjoyment in Continuance of Asynchronous Online English Learning

Although possessing flexibility and accessibility, asynchronous online courses suffer from high attrition and cause unsatisfactory learning performance, leading to a pressing need to understand factors influencing learners’ continuance of learning intention. Based on the expectation confirmation model, this study investigated perceived enjoyment as an extended variable to unpack the mediating effects of perceived usefulness and perceived enjoyment on the relationship between confirmation and continuance intention. Quantitative data from 254 learners enrolled in asynchronous online English courses were obtained for data analysis. Results indicate that confirmation significantly and positively affects learners’ continuance intention to take the asynchronous online English courses. Perceived usefulness and perceived enjoyment significantly mediate the relationship between confirmation and continuance intention. The total indirect effect of confirmation on continuance intention through perceived enjoyment and perceived usefulness and the combination of perceived enjoyment and perceived usefulness was 55.52%. Additionally, interviews with five learners revealed that despite limited real-time interaction, they highly value asynchronous online courses given that they promote self-regulated learning, offer choice freedom, foster a sense of achievement, and reduce anxiety and embarrassment risks that trigger their learning enjoyment. This study provided deep insights into factors influencing EFL learners’ decisions in asynchronous learning. Instructors are suggested to improve the quality of courses, provide timely feedback, and design tasks to improve learners’ perceptions of enjoyment and usefulness to further improve learners’ confirmation of online courses and their continuance intention to engage in online synchronous learning.

In-store augmented reality experiences and its effect on consumer perceptions and behaviour

PurposeThis study aims to explore the impact of augmented reality (AR) technologies on consumer information processing and value perceptions in physical stores. Specifically, it investigates how the vividness, novelty and interactivity of AR shape utilitarian and hedonic value perceptions, and influence consumer purchase and continuance behaviour.Design/methodology/approachThe study used the store intercept survey method at 15 retail outlets across four metro cities in India, representing nine prominent retail brands deploying AR technologies. The data collected (n = 650) were subjected to exploratory and confirmatory factor analysis.FindingsMajor findings confirm a significant effect of vividness, novelty and interactivity on utilitarian and hedonic value perceptions of in-store AR experiences of customers in physical stores. Hedonic value was found to affect continuance intention but not purchase intention, while utilitarian value was found to affect purchase intention but not continuance.Research limitations/implicationsThis study extends the stimulus–organism–response model’s application to AR in physical stores by integrating the impact of vividness, novelty and interaction on both utilitarian and hedonic values and revealing their significance in influencing purchase intentions and continuance.Practical implicationsMajor findings advise retailers to increase AR experience adoption in stores and illustrate the process through which purchase and continuance intentions may be influenced.Originality/valueThis is one of the few studies that explore the impact of AR on consumer attitudes and intentions in physical stores. In addition, the study explores the effect of AR tools as a process that passes through value perceptions and then affects the consumer.

Impact of artificial intelligence-enabled service quality on user consumption value and continuous intention to use mobile fitness applications: Evidence from China

Artificial intelligence (AI) has been applied to mobile fitness applications (MFAs) to improve users’ continuance usage intention. Most of the literature has considered the adoption factors of MFA but has ignored the impact of AI effectiveness. To address this research gap, we develop a research model by integrating AI service quality and the theory of consumption value (TCV) to explore users’ continuance intention. Using a survey approach, a total of 416 valid questionnaires were collected in China, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The results show that functional, emotional, social, epistemic, and conditional values partially mediate the relationships between AI service quality and the continuance usage intention of AI-enabled MFAs. This study contributes to the literature by considering and examining the effect of AI service quality on users’ assessment of different consumption values, which advances the understanding of the AI service quality function in AI-enabled MFAs.

Analisis Penerimaan dan Kesuksesan Aplikasi M-health pada Lansia menggunakan Model UTAUT dan Delone & McLean

M-health plays a crucial role in providing medical services through features like online doctor appointments. While it offers convenience, there are challenges in its adoption among the elderly. The success of M-health depends on user acceptance and continued use. Therefore, an evaluation of information technology focused on the elderly in Indonesia is necessary. Technology accepted by users is not necessarily successful, and vice versa. This study aims to identify factors influencing the acceptance and success of M-health applications among the elderly. It combines the UTAUT and Delone & McLean models to investigate acceptance and success factors. The variables used are performance expectancy, effort expectancy, information quality, system quality, service quality, user satisfaction, and continuance intention. The PLS-SEM method is used to process respondent data. Analysis result shows that 61.6% of elderly users' satisfaction with M-health is influenced by information quality, service quality, performance expectancy, and effort expectancy. Meanwhile, 59.4% of the continuance intention is influenced by user satisfaction. This indicates that the application is well received and successful because it provides a satisfying experience. This study confirms that the combination of the UTAUT and Delone & McLean models is adequate.

Understanding Metaverse Consumers Through Escapism Motives: Focusing on Roblox and Zepeto

This study investigates how users’ escapism motives and perceptions of technology influence their intentions to continue using metaverse platforms. To this end, a framework based on the technology acceptance model (TAM) is used to explore how the perceptions of two benefits—enjoyment and usefulness—as antecedents of continuance intention, are influenced by an individual’s escape motivations (self-suppression and self-expansion) and technological characteristics. A total of 248 responses, collected via an online survey company, were analyzed using structural equation modeling. The results emphasize the importance of both hedonic and utilitarian benefits in sustaining metaverse users. Moreover, users’ self-expansion motive has a positive effect on continuance intentions, while self-suppression negatively impacts continuance intentions. The differences between platforms (Roblox and Zepeto) further explored the relationships of the variables in the model. This study enriches the literature on escapism and TAM and provides valuable insights for practitioners by highlighting the impact of users’ motives on their intentions to continue using metaverse platforms.

Online food delivery services and unceasing behavioural intention: An assessment for integrating expectation-confirmation and technology acceptance models

The coronavirus disease (COVID-19) quarantine restrictions led to significant changes in the food industry's delivery methods, with a notable rise in online food delivery services (OFDS). This increase necessitates a deeper understanding of the factors influencing the continued use of these services. This study investigates the relationships between perceived ease of use, perceived usefulness, satisfaction, confidence, trust, and continuous intention to use OFDS applications among young consumers in Kazakhstan. An integrated model based on expectation-confirmation and technology acceptance models, incorporating the habit of online shopping as a moderator, was used. Data was collected from 433 respondents with prior OFDS experience and analyzed using Smart PLS 4.0. The results show positive correlations between perceived ease of use, perceived usefulness, satisfaction, confidence, trust, and the continuous intention to use OFDS among young Kazakhstani consumers. Additionally, the study confirms the moderating role of online shopping habits in the relationship between satisfaction and trust and the continuous intention to use OFDS. These findings offer valuable insights for companies in the online food delivery sector, highlighting key factors that can enhance managerial and IT strategies to boost revenues and foster sustained use of OFDS applications.

Continuance Intention for Sports Facility O2O Services : Applying the Post Acceptance Model

Continuance Intention for Sports Facility O2O Services : Applying the Post Acceptance Model

A Study on the Influence Factors of Continuance Intention to Use Kiosk by Fast Food Restaurant Customers in China

A Study on the Influence Factors of Continuance Intention to Use Kiosk by Fast Food Restaurant Customers in China

Continuous intention usage of artificial intelligence enabled digital banks: a review of expectation confirmation model

PurposeThis study builds on a conceptual model by integrating AI features – Perceived intelligence (PIN) and anthropomorphism (PAN) – while extending expectation confirmation theory (ECT) factors – interaction quality (IQU), confirmation (CON), and customer experience (CSE) – to evaluate the continued intention to use (CIU) of AI-enabled digital banking services.Design/methodology/approachData were collected through an online questionnaire administered to 390 digital banking customers in India. The data were further analysed, and the presented hypotheses were evaluated using partial least squares structural equation modelling (PLS-SEM).FindingsThe research indicates that perceived intelligence and anthropomorphism predict interaction quality. Interaction quality significantly impacts expectation confirmation, consumer experience, and the continuous intention to use digital banking services powered by AI technology. AI design will become a fundamental factor; thus, all interactions should be user-friendly, efficient, and reliable, and the successful implementation of AI in digital banking will largely depend on AI features.Originality/valueThis study is the first to demonstrate the effectiveness of an AI-ECT model for AI-enabled Indian digital banks. The user continuance intention to use digital banking in the context of AI has not yet been studied. These findings further enrich the literature on AI, digital banking, and information systems by focusing on the AI's Intelligence and Anthropomorphism variables in digital banks.

From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory

The introduction of ChatGPT in academia has raised significant concerns, particularly regarding issues like plagiarism and the ethical use of generative text for academic purposes. Existing literature has predominantly focused on ChatGPT adoption, leaving a notable gap in addressing the strategies users employ to mitigate these emerging challenges. To bridge this gap, this research utilizes the Uncertainty Reduction Theory (URT) to formulate user strategies for reducing uncertainty. These strategies include both interactive and passive approaches. Concurrently, the study identifies key sources of uncertainty, which include concerns related to transparency, information accuracy, and privacy. Additionally, it introduces the concepts of seeking clarification and consulting peer feedback as mediating roles to facilitate reduced uncertainty. We tested these hypotheses with a sample of Indonesian users (N = 566) using structural equation modeling via Smart-PLS 4.0 software. The results confirm that interactive Uncertainty Reduction Strategies (URS) are more effective in reducing uncertainty when using ChatGPT compared to passive URS. Transparency concerns, information accuracy, and privacy concerns are identified as factors that increase the level of uncertainty. In contrast, consulting peer feedback is the most effective strategy for reducing uncertainty compared to seeking clarification at the individual-system level. Insights from the mediating effects confirm that consulting peer feedback significantly mediates uncertainty sources to reduce uncertainty. The study discusses various strategies for the ethical use of ChatGPT by users in the educational context and contributes significantly to theoretical development.

Exploring the antecedent factors of continuous intention to use mobile money: insights from emerging markets

Purpose The purpose of this study is to examine the factors that may have an influence on the continuous intention to use mobile money as one of the Financial Technology (FinTech) products beyond the COVID-19 pandemic lockdown period. Design/methodology/approach This study has empirically tested the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) to explain the mobile money adoption in Jordan. Data collected were analyzed through partial least squares–structural equation modeling (PLS-SEM). Findings The results mainly showed that the quality of administrative services and trust significantly impact confirmation and perceived usefulness. In addition, perceived security and knowledge of mobile money as one of the FinTech services significantly influence users’ confirmation and perceived usefulness. Also, usefulness and satisfaction influence continuous intention. Significant relationships were noted among confirmation, perceived usefulness, satisfaction and continuous intention to use mobile money. Originality/value This paper integrates two key theories: the expanded post-acceptance model (Extend-PAM) and the expectation-confirmation model (ECM) in the post-adoption behavior of mobile money. Therefore, this study attempts to fill a literature gap by examining the antecedent factors that influence the continuous intention to use mobile money services in the post-consumption stage.

What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models

Digital museums play a crucial role in facilitating users' access to and exploration of digital cultural heritage resources. However, exploring the factors influencing user engagement with these digital museums from a user experience perspective remains essential. This study evaluates the factors driving user continuous behavioral intention towards the digital museum of Beijing’s central axis, integrating the new task-technology fit (TTF) and the new unified theory of acceptance and use of technology (UTAUT) models, and introducing perceived enjoyment, design aesthetics, and perceived cultural value as additional variables. Analyzing survey data (n = 377) utilizing structural equation modeling (SEM), the study identifies the following key findings: (1) the task and technology characteristics of digital museums significantly impact the TTF; (2) performance expectancy, effort expectancy, design aesthetics, perceived enjoyment, and perceived cultural value all positively impact user continuous behavioral intention; (3) the technological characteristics of digital museums were observed to positively impact users' effort expectancy; but (4) the TTF and social influence did not have no significant impact the user continuous behavioral intention. These findings offer valuable insights into the factors driving users' continuous behavioral intention to use digital museums of cultural heritage, offering practical guidance for future development and optimization of these digital museums, and highlighting specific implications and suggestions for enhancing the user experience.

An empirical investigation of student online learning continuance intention in the post-COVID-19 pandemic era

PurposeThe purpose of this paper is to investigate students’ viewpoint regarding continuation of using online learning in the post-COVID-19 pandemic world. While during the pandemic years predominantly all formal learning was forced to move online, in the postpandemic environment traditional postsecondary education institutions generally resumed in-person (or face-to-face) learning. Nonetheless, it is possible that some students would like to continue using online learning after using such a system during COVID-19 restrictions. Therefore, it is important for postsecondary institutions to understand students’ views on continuing with online learning so that these institutions can better adapt their offerings to learners’ preferences.Design/methodology/approachThis study uses a cross-sectional online survey-based approach grounded on an innovative theoretical framework blending the unified theory of acceptance and use of technology 2 into the expectation-confirmation model of information systems continuance. Data were collected from 247 students in Canada in Fall 2022 and were analyzed with partial least squares structural equation modeling techniques.FindingsPerceptions of usefulness and of monetary benefits relative to costs together with developing positive habits regarding online learning are the most significant beliefs motivating students to want to continue with online learning. Furthermore, positive disconfirmation of initial expectations and satisfaction relying on previous use together with a favorable attitude with respect to online learning strongly influence the intention to continue with online education.Originality/valueThe study opens the door for similar research in other cultural contexts (e.g. with a different individualistic-collectivistic pattern) and for other domains that moved totally online during the COVID-19 pandemic (e.g. primary health care) to maximize people satisfaction while minimizing societal costs.

Retraction Note: Factors influencing continuance intention of participants in crowdsourcing

Retraction Note: Factors influencing continuance intention of participants in crowdsourcing

Retraction Note: Customization, loneliness, and optimism: drivers of intelligent personal assistant continuance intention during COVID-19

Retraction Note: Customization, loneliness, and optimism: drivers of intelligent personal assistant continuance intention during COVID-19

The crucial role of e-logistic service quality to integrated theories to predict continuance intention on fresh produce e-commerce

The crucial role of e-logistic service quality to integrated theories to predict continuance intention on fresh produce e-commerce