Continuance Intention Research Articles

Students’ and faculty continuous intention to use gamification in higher education: A structural analysis

Over the past decade, the integration of technology, particularly gamification, has initiated a substantial transformation within the field of education. However, educators frequently confront the challenge of identifying suitable competitive game-based learning platforms amidst the growing emphasis on cultivating creativity within the classroom and effectively integrating technology into pedagogical practices. The current study examines students and faculty continuous intention to use gamification in higher education. The data was collected through an online survey with a sample size of 763 Pakistani respondents from various universities around Pakistan. The structural equation modeling was used to analyze the data and to investigate how continuous intention to use gamification is influenced by, extended TAM model with inclusion of variables such as task technology fit, social influence, social recognition and hedonic motivation. The results have shown that task technology has no significant influence on perceived usefulness (PU) where as it has a significant influence on perceived ease of use (PEOU). Social influence (SI) indicates no significant influence on perceived ease of use. Social recognition (SR) indicates positive influence on perceived usefulness, perceived ease of use, and continuous intention. The dimensional analysis indicated that perceived ease of use has insignificant influence on perceived usefulness. Both PEOU and PU exhibit positive influence on attitude. Hedonic motivation (HM) and attitude were observed to have a positive influence on continuous intention (CI). Moreover, gamification is found to efficiently and effectively achieve meaningful goals by tapping intrinsic motivation of the users through engaging them in playful experiences.

Investigating the Relationship Between Patient-Centered Communication and Quality of E-Consult in China: A Cross-Sectional Standardized Patient Study

ABSTRACT Patient-centered communication is widely acknowledged as an essential element of high-quality healthcare. Our study attempted to explore the weaknesses in the actual doctor-patient communication process and the most critical elements in patient-centered communication to improve the service quality of e-consult. We recruited ten standardized patients presenting fixed cases (urticaria and childhood diarrhea) for 321 valid interactions to measure patient-centered communication and e-consult service quality. The scores of patient-centered communication included exploring the patient’s disease experience, understanding the patient’s social situation, and reaching a consensus between doctors and patients. We measured the quality of e-consult services by the total words of doctor’s responses, accurate diagnosis, appropriate prescription, lifestyle modification advice, patient satisfaction, continuance intention, and cost. Ordinary least-squares and logistic regression were performed to investigate the association between patient-centered communication and e-consult service quality. The total mean score of patient-centered communication was 17.67. The mean words of responses and cost were 178.55 words and 39.46 yuan, respectively. 82.87% of doctors diagnosed accurately, with 21.81% prescribing appropriate prescriptions and 81.93% providing lifestyle modification advice. 254 interactions obtained high satisfaction, and 218 had continuance intention after the interactions. Doctors with higher patient-centered communication levels would provide more words of responses. They were more likely to provide accurate diagnoses, appropriate prescriptions, and lifestyle modification advice, resulting in better patient satisfaction, continuance intention, and higher costs. Therefore, it is necessary to standardize and improve the doctor-patient communication process of e-consult and develop training for different doctors.

Adoption and Continuance in the Metaverse

The burgeoning metaverse market, encompassing virtual and augmented reality, gaming, and manufacturing processes, presents a unique domain for studying user behavior. This study delineates a research framework to investigate the antecedents of behavioral intention, bifurcating users into inexperienced and experienced cohorts. Utilizing a cross-sectional survey, empirical data were amassed and analyzed using structural equation modeling, encompassing 372 responses from 131 inexperienced and 241 experienced users. For inexperienced users, the analysis underscored the significant impact of perceived usefulness on both satisfaction and adoption intention, while perceived enjoyment was found to bolster only satisfaction. Innovativeness and satisfaction do not drive adoption intention. Conversely, for experienced users, satisfaction was significantly influenced by perceived ease of use, perceived usefulness, and perceived enjoyment. Continuance intention was positively affected by perceived usefulness, perceived enjoyment, trust, innovativeness, and satisfaction. This research extends valuable insights for both theoretical advancements and practical implementations in the burgeoning metaverse landscape.

Evaluating the influence of characteristics on the acceptance of artificial intelligence application: An empirical study

Artificial intelligence has accelerated the application scenarios and business value of map applications. However, the sustained intention of map applications utilizing artificial intelligence technology has not received sufficient attention and scholarly investigation. Therefore, this study constructs a theoretical model of the continuance intention of map applications, based on their characteristics and combined with user satisfaction and trust, aiming to explore the influence mechanism of this continuance intention. The results of structural equation modeling show that not only user trust and satisfaction have a positive effect on continuance intention towards map applications, but also interactivity characteristics, reliability characteristics, richness characteristics, and personalized characteristics have a positive effect on user satisfaction and trust towards map applications. This study reveals the influence mechanism of map application continuance intention, which can effectively guide map application operators to optimize their services and then provide practical insights for users to use map applications consistently.

A structural model of pre-service teachers’ attitude, acceptance, and continuance intention towards mobile augmented reality

The increasing prevalence of mobile augmented reality (MAR) has garnered attention in contemporary times. However, its application within educational settings remains largely untapped, primarily due to its predominant utilization in entertainment domains. MAR presents opportunities for augmenting learning experiences, fostering enhanced adaptability in educational methodologies, and enriching students’ academic endeavors. Therefore, this study aims to enhance the use of MAR and formulates a model of MAR usage for pre-service teachers. In the context of this study, MAR learning cardiovascular (MARLCardio) serves as an experimental tool for exemplifying the features of MAR. This study integrates the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and Expectation Confirmation Model (ECM) as underpinning theories. This study was undertaken to determine factors that influence pre-service teachers’ attitude, acceptance, and their intention to continue using MAR in the learning process. Responses from 456 pre-service teachers through a survey were analyzed using structural equation modelling. Findings in this study found that pre-service teachers agree that facilitating condition play a crucial role in shaping pre-service teachers’ positive attitude and influencing their intention to continue using MAR. Meanwhile, performance expectancy plays a major role in ensuring pre-service teachers’ acceptance of using MAR in their learning process. It was anticipated that the formulated MAR structural model would offer insights and support forthcoming research endeavors aimed at fostering the sustainability of MAR utilization.

The Influence of Educational and Emotional Support on e-Learning Continuance Intention: A Two-Stage Approach PLS-SEM and ANN Analysis

The Influence of Educational and Emotional Support on e-Learning Continuance Intention: A Two-Stage Approach PLS-SEM and ANN Analysis

Can I Collaborate with You? An Investigation of Trust in Generative AI

ABSTRACTThis study investigates the role of trust in human‐AI collaboration in K‐12 education, focusing on generative AI. Using a two‐factor experimental design (n = 26), we examined attitudes toward AI and creativity level as independent variables and assessed cognitive trust, affective trust, perceptions of usability, and continuance intention to use generative AI tools in text‐to‐text (ChatGPT) and text‐to‐image (Canva) tasks. The results is analyzed with two‐way ANOVA, we find that: (1) text‐to‐text human‐AI collaboration tends to foster higher emotional engagement and trust compared to text‐to‐image human‐AI collaboration; (2) perceptions of usability and continuance intention to use are slightly higher in text‐to‐text interactions, suggesting a preference for text‐based generative AI tools; (3) significant interactive effects between attitudes toward AI and creativity were observed across all measured variables, highlighting the importance of considering both factors in understanding and improving human‐AI collaboration in educational settings, contributing to research on generative AI for learning assistance.

Does community of inquiry really matter in understanding online learning? A confirmed perspective using mixed method

AbstractHigh dropout rates in online courses, caused by potential factors such as financial issues, low motivation and poor self‐regulation among learners, pose a significant challenge to the sustainable development of online education. Therefore, continuance of online courses has become a critical topic in both the academic and practical fields. By combining the Community of Inquiry framework (CoI) with Expectation‐Confirmation Theory, this study introduces three new constructs—confirmed teaching presence (CTP), confirmed cognitive presence (CCP) and confirmed social presence (CSP)—into the research model to understand how confirmed expectations towards CoI determine online learners' course continuance intention. Utilizing a mixed‐methods approach, the study conducted quantitative analysis on 409 learner surveys using partial least squares (PLS), followed by semi‐structured interviews, which revealed the depth and breadth of the confirmed CoI expectations on learners' willingness to continue learning. Specifically, the quantitative results uncovered the differential effects of CTP, CCP and CSP on learners' course continuance intentions by elucidating the internal mechanisms. The interviews provided deeper insights by illuminating online learners' initial expectations as well as their pre‐course and post‐course expectations. The findings of the study not only provide evidence of the crucial role of confirmed expectations in shaping online learners' course continuance intention but also offer actionable recommendations for improving online course design and fostering lifelong learning. Practitioner notesWhat is already known about this topic Online courses have expanded in scale and attracted a large number of learners in recent years, the large base of online learners has brought tremendous and unprecedented challenges to online course development. A high dropout rate is especially considered as a severe issue for online course development. The issue of learners' continuance intention was often explored from a technological perspective and at the platform level by using Information system (IS) theories. The community of inquiry (CoI) framework was extensively utilized as a theoretical basis for understanding online learning experiences and its three elements—teaching, cognitive and social presences—have long been deemed as major antecedents that influence learners' online learning behaviours and intentions. What this paper adds This paper integrated the community of inquiry (CoI) framework with Expectation confirmation theory and proposed three new variables: confirmed teaching presence (CTP), confirmed cognitive presence (CCP) and confirmed social presence (CSP). The study reveals the internal mechanisms by which the three confirmed expectations impact online learners' courses continuance intention. This implies that different confirmed expectations may have varying effects on online learners' learning behaviour. This research collects data from multiple sources to comprehensively explore online learners' expectations and perceptions. It also sheds light on the importance of learners' actual participation in the learning process for predicting their behavioural intentions. Implications for practice and/or policy The finding that learners' confirmed expectations impact their online course continuance intention conveys an important message to course practitioners: exaggerated or false claims for the online course must be avoided to prevent students from forming unrealistic expectations. Improving online learners' course completion rate cannot be hinged upon simply and blindly fostering and extending the three presences. Instead, knowing learners' confirmed expectations of the three presences allows course practitioners to reconsider and organize the important course elements. The research reveals the distinct role that each confirmed presence plays in promoting online learners' course continuance intention and, meanwhile, expands the understanding of learners' learning needs and experiences. Practitioners could make timely and appropriate strategies based on these to better motivate course learners' engagement and retention.

Impact of Organizational Support and Hardiness on Employees' Telework Intentions: The Mediating Role of E-Work Life

Purpose: This paper examines how supplementary telecommuting support from the organization, personal hardiness, and perceived work-life balance affect a person’s telework continuation intentions. This study seeks to establish whether WLB directly and interactively moderates the relationships of these variables to contribute ideas towards improved telework management. Design/Methodology: The survey questionnaires self-administered and completed by 210 respondents, and validity analysis conducted through factor loadings test while reliability analysis done through inter-item reliability and test-retest reliability while correlation analysis was done with coefficient of correlation test. Findings: The findings showed that hardiness was a significant factor on teleworking continuation intention but organizational support not when it existed singly. Moderation analysis revealed that work to life balance acted as a moderator of the relationship between organizational support and as a moderator and mediator of the positive relationship between hardiness and telework intention. Practical Implications: Employees’ needed improvements should be in towards what is good for them through organizational policies, for instance, adoption of liberal working hours and stress mitigation measures. Work-life balance can used to increase support for telecommuting and maintain the desire of employees to continue working remotely in the long term. Originality/Value: The study establishes the use of organizational support, personal resources, and work-life balance as predictors of telework intentions. This paper builds on current telework literature by examining the moderation of WLB and provides useful recommendations for organizations in implementing sound telework policies.

Surviving the Storm: The Vital Role of Entrepreneurs’ Network Ties and Recovering Capabilities in Supporting the Intention to Sustain Micro and Small Enterprises

Micro and small enterprises (MSMEs) play a positive and significant role in developing economies by creating job opportunities and mitigating poverty; this necessitates their attention and focus, mainly during challenging times. Accordingly, this study explored the key factors contributing to enhancing entrepreneurial competency (EC) and the intention to maintain business continuity among MSMEs in Yemen during adverse times. A sample of 280 responses was collected from MSMEs operating diverse types of businesses in the capital of Yemen, Sanaa. The collected data were analysed using partial least squares–structural equation modelling (PLS-SEM), which is considered suitable for this purpose. The data collection process included an online questionnaire and a physical visit to the business locations of the business owners. The findings of the study reported that entrepreneurs’ network ties (ENT), as well as recovering capability (RC), positively and significantly influence the EC of MSMEs in the context of the study. Additionally, EC positively and significantly influences business continuity intention (BCI). Finally, EC partially mediates the relationship between ENT, RC, and BCI. The study concludes by providing recommendations and implications for policymakers.

Modeling the Continuous Intention to Use Generative AI as an Educational Tool for EFL Learners among Vocational College Students in Guangzhou, China

This study aims to model the continuous intention to use generative AI (GenAI) as an educational tool among English as a Foreign Language (EFL) learners in vocational colleges in Guangzhou, China, by integrating the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT). Data were collected from 419 vocational college students in Guangzhou enrolled in EFL courses. A structured questionnaire measured autonomy, relatedness, competence, perceived usefulness, and continuous intention. The analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that autonomy, relatedness, and competence significantly influence perceived usefulness, which, in turn, positively affects students' continuous intention to use GenAI. Furthermore, perceived usefulness mediates the relationships between the three independent variables (autonomy, relatedness, and competence) and continuous intention. The study is limited to vocational college students in Guangzhou, which may restrict the generalizability of the findings. Future research could expand the sample to different educational contexts. The findings provide valuable insights for educators and policymakers on how to enhance GenAI adoption in vocational education by fostering student autonomy, relatedness, and competence. This study extends TAM by incorporating SDT to explain both external and intrinsic factors influencing the continuous intention to use GenAI in educational settings, focusing on vocational students in a Chinese context.

Factors Affecting Continuance Intention Towards Adoption of Linkaja Mobile Payment

Factors Affecting Continuance Intention Towards Adoption of Linkaja Mobile Payment

To acknowledge or conceal: an exploratory study on designers' self-determination factors and attitudes toward artificial intelligence participation in their works

PurposeThe rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.Design/methodology/approachA quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.FindingsCompetence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.Originality/valueThis study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.

How Does Aesthetic Design Affect Continuance Intention in In-Vehicle Infotainment Systems? An Exploratory Study

With the digitalization of automobile cabins, in-vehicle infotainment systems play an increasingly pivotal role in vehicles. This study aims to understand how the interface aesthetics of the in-vehicle infotainment system affect users’ continuance intention in in-vehicle infotainment systems. Based on a literature review, a theoretical model was constructed, encompassing seven latent variables: simplicity, colorfulness, diversity, craftsmanship, functional value, emotional value, and continuance intention. Analysis of 243 valid questionnaires revealed that both functional and emotional values serve as crucial mediators in encouraging users to continue using the in-vehicle infotainment system, with functional quality being the core element. Moreover, simplicity, diversity, and craftsmanship indirectly affect continuance intention by influencing both functional and emotional values. These findings underscore the need for future designers of in-vehicle infotainment systems to focus on interface functionality and emotional needs, and to ensure that content is concise, engaging, user-friendly, and visually polished, thereby enhancing the user experience and fostering the intention to continue usage.

Tapping generative AI capabilities: a study to examine continued intention to use ChatGPT in the travel planning

ABSTRACT Generative AI has lately been established as a very effective tool impacting consumer decision-making. Thus, this study aims to evaluate the variables affecting the flow of controversial AI in travel and tourism. Despite the increasing interest in ChatGPT, little research has examined what factors influence the uptake of this novel AI tool and its implications in the travel planning industry. This work builds its conceptual model on UTAUT2 and PCI Theory and tests the antecedents of Flow which impacts continuance intention to use ChatGPT in travel planning. An online survey was administered among 408 individuals in India. Of the factors of UTAUT2 and PCI, social influence, compatibility, and image do not impact the flow state significantly. Additionally, the study establishes the relationship between Flow and the continued intention to use ChatGPT for travel planning with “external influence” as a moderator.

The factors influencing the continuance intention of MOOCs: The perspective of socio-technical approach

The factors influencing the continuance intention of MOOCs: The perspective of socio-technical approach

Factors Influencing University Students’ Continuance Intentions towards Self-Directed Learning Using Artificial Intelligence Tools: Insights from Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis

This study investigates the intricate causal mechanisms of university students’ sustained use of artificial intelligence (AI) tools for self-directed learning (SDL) within the theoretical framework of self-determination theory (SDT). Employing a convenience sampling strategy, 387 university students from China were included in the study. Methodologically, we employed structural equation modeling (SEM) for the measurement and causal analysis, and we employed fuzzy-set qualitative comparative analysis (fsQCA) for the configurational analysis. The research results emphasize several important insights. Perceived usefulness, intrinsic motivation, and satisfaction play important roles in encouraging university students’ continuance intentions. Satisfaction emerges as a pivotal mediator, bridging the connection between perceived usefulness, intrinsic motivation, and continuance intention. The system quality, the information quality, and social interaction have significant positive influences on perceived usefulness. Perceived autonomy and perceived competence display strong correlations with both intrinsic motivation and satisfaction. Moreover, the results from the fsQCA show five configurations, in which the key factors collectively shape students’ continuance intentions through complex interactions through various configurations. The findings reveal diverse configurations by which university students form continuance intentions towards using AI tools for SDL, providing detailed insights into the profound and indirect impacts on forming continuance intention behaviors. This enriches and advances the current theoretical understanding.

Intention to adopt mobile payment during the COVID-19 pandemic

PurposeThe main purpose of this research study is to investigate and examine the factors that might influence the intention to adopt and use mobile payment and their relationships during the COVID-19 pandemic.Design/methodology/approachThis research study used both mobile payment adoption literature, The Technology Adoption Model and Unified Theory of Acceptance and Use of Technology, to propose a conceptual framework for mobile payment adoption. Quantitative method is used in which 306 participants responded to an online survey to validate the proposed conceptual framework.FindingsThe introduced integrated model embraced perceived risk, transaction transparency, mobile payment usefulness, social influence, performance expectation as independent variables and usage continuation intention to adopt mobile payment as the dependent variable. The results from data analysis have statistically revealed significant relationships and a positive impact of perceived risk, mobile payment usefulness, social influence and performance expectation. Also, the results identified a negative impact for the transaction transparency factor. As this research study is conducted at a later stage of the COVID-19 pandemic, it adds value to the existing literature by providing insights to business managers on the factors influencing mobile payment usage and other implications related to increasing the market potential for businesses in the new normality of the coronavirus pandemic.Originality/valueThis paper offers a combination conceptual framework of mobile payment adoption based on a literature review on mobile payment adoption from information systems perspective. It adapts integrated model to establish a more comprehensive innovation adoption framework for mobile payment.

Determinants of Digital-Only Banking Adoption and Continuance Intentions in the Philippines

Determinants of Digital-Only Banking Adoption and Continuance Intentions in the Philippines

Navigating barriers to organic food purchase intention: a mixed method longitudinal approach in emerging market

PurposeThis study investigates barriers to consumers’ organic food purchasing. It identifies the factors and the extent to which they influence their purchase behaviours and future purchase intentions (i.e. continuance purchase intentions).Design/methodology/approachIt combines qualitative and quantitative methods across two phases. Longitudinal research was carried out in two phases. It involved a thematic analysis and a covariance-based structural equation modelling approach. During Phase-1 and Phase-2, responses were collected from 376 and 351 respondents, respectively.FindingsPhase 1 found the value barrier was significantly affecting the consumers’ purchase intention, while Phase 2 identified the impacts from both image and value barriers on purchase intentions. Notably, purchase intention affected continuance intention in both phases, while ethnocentrism showed no influence.Originality/valueUsing the innovation resistance theory, this study sheds light on the factors that prevent purchase intention. It offers valuable insights for policymakers and for the marketers of organic foods. This contribution implies that value and usage barriers were affecting the consumers’ purchase intentions in the short as well as in the long term. In sum, it suggests that consumers were not purchasing organic food as they felt it was either overpriced, not available in the market or because they were sceptical about its organic labelling.