User Intention Research Articles

Chinese Consumers' Attitudes toward and Intentions to Continue Using Skill-Sharing Service Platforms.

The sharing economy has rapidly transformed traditional consumption patterns worldwide. The emergence of skill-sharing services-which allow individuals to share their skills, abilities, and time through online platforms-has recently garnered attention. In China, the demand for skill-sharing services continues to grow, as these services effectively meet consumer needs. To understand this growing demand, this study aims to explore users' attitudes and intentions toward the use of skill-sharing service platforms in the Chinese market. A survey was conducted that incorporated 500 Chinese users who had used skill-sharing service platforms over the previous three months. A total of 409 datasets were analyzed, using structural equation modeling and multiple group analysis, in AMOS 24.0. The results showed that performance expectancy, effort expectancy, social influence, facilitating conditions, and self-efficacy positively influenced users' attitudes toward skill-sharing services, while privacy, functionality, and safety risks negatively affected these attitudes. Users' attitudes toward skill-sharing services significantly enhanced their intentions to continue using them, with the level of trust playing a crucial moderating role between attitude and the intention to continue using these services. These findings provide a significant theoretical and practical foundation for the further development of skill-sharing service platforms, the optimization of marketing strategies, and future research.

The power of play in microfinance: Examining the effect of gamification on customer relationship management performance

This study delves into the impact of gamification usage on the customer relationship management performance of microfinance platforms in China. Specifically, we systematically investigate the positive and negative perceptions influencing gamification adoption, which in turn affect satisfaction, customer engagement, and retention. Our results show that perceived benefit positively influences gamification usage intention, whereas perceived sacrifice exerts a negative impact. Furthermore, gamification usage intention correlates positively with satisfaction, customer engagement, and retention. Finally, the study highlights the positive relationships between satisfaction and customer engagement, as well as between customer engagement and retention. However, no significant relationship is observed between customer satisfaction and customer retention. These insights offer essential implications for enhancing user experiences and fostering customer loyalty.

Factors Affecting the Students’ Usage Intention towards Electric Transportation in Ho Chi Minh City, Vietnam

Abstract Emissions from vehicles are increasingly causing serious consequences to the environment. Therefore, most countries around the world have implemented action plans to reduce and prevent such a bad situation. One of the most popular solutions is electrification of the transportation system. Ho Chi Minh City is no exception to that trend by deploying electric transportation with a variety of vehicles. However, the level of social consumption of this friendly means of transportation is still limited, including among students. This current article is aimed at identifying factors that affect students’ intention to use electric transportation, including: (1) Personal factors (environmental attitude, green consumption attitude, knowledge, perception towards green products, environmental responsibility, capabilities), (2) interpersonal factors (social values) and (2) external factors (public policy, availability, price). By using questionnaires, the research carried out a direct survey of 300 students studying at Vietnam National University, Ho Chi Minh City. Research results show that public policy, green consumption attitudes, environmental responsibility, and social values have a significant relationship with student’s intention to use electric transportation, in which public policy is the biggest motivator. From the research results, the paper is solutions to promote use aimed at improving environmental quality.

Embracing the Future of Health Care: Investigating Medical Students' Willingness to Become Online Doctors.

Purpose: With the rapid advancement of technology, online health care services are becoming increasingly prominent. This study aims to investigate medical students' perceptions, attitudes, and readiness to adopt online health care services. Methods: Based on a literature review, this study constructed a conceptual model describing the relationships among medical students' perception, personality traits, and usage intention, grounded in the Technology Acceptance Model and Technology Readiness Index (TRI). The data for this study were collected from January to February 2023 through a questionnaire survey at Wenzhou Medical University, China. The proposed hypotheses were tested using structural equation modeling through AMOS software. Results: Out of the 340 respondents, 281 (82.6%) validly responded. Among these, 58.4% of medical students agreed and strongly agreed with the intention to become an online doctor. Within the TRI's motivational factors, optimism positively and significantly affected perceived usefulness (PU) and perceived ease of use (PEOU). Innovativeness also significantly enhanced PEOU. Among the inhibitory factors, insecurity was found to have a negative and statistically significant influence on PU. The rest of the dimensions did not have a significant effect on either PU or PEOU. Importantly, both PU and PEOU demonstrated a direct and substantial effect on usage intention. Conclusions: This study emphasizes the significance of comprehending medical students' readiness to adopt the role of online doctors in shaping the future of health care. By equipping medical students with the necessary skills and competencies, health care institutions can effectively leverage the full potential of online health care services while ensuring the provision of high-quality, accessible, and patient-centered care in the digital era.

A web-based travel package management system integrated with QR code

The tourism industry is associated with people travelling either domestically or abroad, for business, social, or recreational reasons. This industry integrates numerous services and activities such as tourism organization, marketing, hotel industry, transportation services, food and beverage activities, retail stores and various other activities under one umbrella. In addition to generating income and jobs, tourism is the best way to promote the nation's image. As the economy and living conditions have improved, so too has the tourist sector, and more people are turning to vacations as a way to alleviate stress and unwind. Currently, travel agencies handle a lot of data with low efficiency and a lot of mistakes. Therefore, this study developed a comprehensive integration of QR code for package travel management system that caters to users in Malaysia, offering functionalities such as itinerary customization, QR code generation and access to essential travel information. The development of this project adopts the Waterfall Methodology, encompassing phases such as planning, requirement analysis, design, implementation and testing. The application is crafted using the Visual Studio Code. The study conducted a User Acceptance Testing (UAT) using questionnaires to evaluate the system's effectiveness and user-friendliness to thirty respondents including family members of frequent travellers and randomly selected community members. Positive feedbacks with Perceived Ease of Use (PEU) scoring 3.6, Attitude of Using (ATT) at 3.7, Perceived Usefulness (PU) scoring 3.4, and Intention to Use (IU) obtaining 3.9, were gathered from the analysis and findings that emphasizing the QR code system's potential as a cost-effective and efficient solution for travellers to monitor and optimize their travel experiences. Future work involves adding maps for easy navigation and implementing augmented reality (AR) for virtual destination previews.

Eliciting Model Steering Interactions From Users via Data and Visual Design Probes.

Visual and interactive machine learning systems (IML) are becoming ubiquitous as they empower individuals with varied machine learning expertise to analyze data. However, it remains complex to align interactions with visual marks to a user's intent for steering machine learning models. We explore using data and visual design probes to elicit users' desired interactions to steer ML models via visual encodings within IML interfaces. We conducted an elicitation study with 20 data analysts with varying expertise in ML. We summarize our findings as pairs of target-interaction, which we compare to prior systems to assess the utility of the probes. We additionally surfaced insights about factors influencing how and why participants chose to interact with visual encodings, including refraining from interacting. Finally, we reflect on the value of gathering such formative empirical evidence via data and visual design probes ahead of developing IML prototypes.

Structural Relationship Between Perceived Value, Customer Behavior, and Continuous Use Intention of Sports Business Platform Users

Structural Relationship Between Perceived Value, Customer Behavior, and Continuous Use Intention of Sports Business Platform Users

Structural relationship among Presence, Exercise Flow, Exercise Attitude and Exercise Participation Intention of Screen Golf User’s

Structural relationship among Presence, Exercise Flow, Exercise Attitude and Exercise Participation Intention of Screen Golf User’s

Analyzing the structural relationships between user participation, perceived sacrifice, service satisfaction, and intention to reuse child and adolescent psychological support services: A multigroup analysis of urban and rural area

Analyzing the structural relationships between user participation, perceived sacrifice, service satisfaction, and intention to reuse child and adolescent psychological support services: A multigroup analysis of urban and rural area

Keywords-enhanced Contrastive Learning Model for travel recommendation

Travel recommendation aims to infer travel intentions of users by analyzing their historical behaviors on Online Travel Agencies (OTAs). However, crucial keywords in clicked travel product titles, such as destination and itinerary duration, indicating tourists’ intentions, are often overlooked. Additionally, most previous studies only consider stable long-term user interests or temporary short-term user preferences, making the recommendation performance unreliable. To mitigate these constraints, this paper proposes a novel Keywords-enhanced Contrastive Learning Model (KCLM). KCLM simultaneously implements personalized travel recommendation and keywords generation tasks, integrating long-term and short-term user preferences within both tasks. Furthermore, we design two kinds of contrastive learning tasks for better user and travel product representation learning. The preference contrastive learning aims to bridge the gap between long-term and short-term user preferences. The multi-view contrastive learning focuses on modeling the coarse-grained commonality between clicked products and their keywords. Extensive experiments are conducted on two tourism datasets and a large-scale e-commerce dataset. The experimental results demonstrate that KCLM achieves substantial gains in both metrics compared to the best-performing baseline methods. Specifically, HR@20 improved by 5.79%–14.13%, MRR@20 improved by 6.57%–18.50%. Furthermore, to have an intuitive understanding of the keyword generation by the KCLM model, we provide a case study for several randomized examples.

A Study on the Impact of Metaverse Use in Education on Educational Satisfaction and Continuous Usage Intention: A Focus on Middle School Students

A Study on the Impact of Metaverse Use in Education on Educational Satisfaction and Continuous Usage Intention: A Focus on Middle School Students

The Intrinsic Motivation for Continuous Usage Intention of Generative AI In the Fashion Design Field : A Self-Determination Theory Perspective

The Intrinsic Motivation for Continuous Usage Intention of Generative AI In the Fashion Design Field : A Self-Determination Theory Perspective

The impact of teachers' perceptions of the effectiveness of formal and informal technology learning on technology usage intentions

The impact of teachers' perceptions of the effectiveness of formal and informal technology learning on technology usage intentions

Behavioral intention among gen z an analysis of digital banking adaptation factors in Jabodetabek

Background: Many traditional banking arrangements have changed as a result of the financial sector's new technological revolution. One method the company seeks to provide consumers with more value is by delivering digital transformations that are especially designed to match their needs and preferences and that use mobile devices such as cell phones to access banking services. This study aims to examine the effect of performance expectancy and effort expectancy to behavioral intention of adopting digital banking. Method: This study collects data from 243 respondents aged 17 to 27 who live in Jabodetabek area, had experienced to do offline transaction, and have at least one digital bank account. Partial Least Squares Structural Equation Modeling (PLS-SEM) was then used to process the data collected. Findings: The findings of this study shows that shows that effort expectancy has a positive effect on behavioral intention on using digital banking. Meanwhile, performance expectations do not have a significant positive effect on behavioral intention. Conclusion: The results of the research may be used to develop a strategic plan and put recommendations into practice to better understand user intentions to use digital banks.

Analyzing factors which drives mobile apps users’ intention to purchase paid mobile apps

Background: The study is aimed toward understanding the factors that lead to the intention to purchase to a certain paid mobile apps, this objective is influenced by the current phenomenon where there is an increase in mobile apps user spending toward mobile apps and the superb growth of the industry. Method: The research relies on the expectation-confirmation model (ECM) for its research model. It used an online survey to users who already have experience in purchasing mobile apps (N = 276). The research uses structural equation modeling (SEM) with the use of AMOS 24 software to examine the hypothesis. Findings: It is found that confirmation influences perceived value and satisfaction, while the rest of the perceived value, apart from performance value positively affect satisfaction. Then value-for-money value, satisfaction, apps rating, free alternative to the paid apps, and habit have a significant impact on user intention to purchase as only free alternatives to the paid apps have a negative one. Conclusion: The research finding could contribute the finding to understand the mobile apps industry better while for a more practical contribution, there are some suggestions for parties that are related or involved in the mobile apps industry.

Examining trust as a critical factor for the adoption of electric vehicle sharing via necessary condition analysis

This study aimed to deepen our understanding of the necessary conditions for the adoption of electric car sharing. Given the identified sufficient factors (should-have), our study focused on identifying those that are necessary (must-have). Specifically, we investigated the role of trust as a critical, necessary factor for the success of an electric car sharing scheme. We conceptualized the intention to use electric car sharing within an extended framework of planned behavior, incorporating trust beliefs. Using survey data from 317 Taiwanese respondents, we employed necessary condition analysis in combination with partial least squares structural equation modelling. Key findings include (1) Trust is not directly associated with adoption intention; however, it plays an indirect role in intention formation and is a must-have factor for the adoption of electric car sharing. (2) Social pressure was found to be neither sufficient nor necessary for usage intention. However, a distinct lack of social pressure appears to guarantee the failure of electric car sharing adoption. (3) Our results confirm both conceptual and empirical claims that positive attitudes toward, and control perceptions about, electric car sharing are both sufficient and necessary for adoption. The implications for both practitioners and researchers are discussed in detail.

The Impact of Default Options on Tourist Intention Post Tourism Chatbot Failure: The Role of Service Recovery and Emoticon

Chatbot service failures are inevitable in tourism and hospitality, how chatbot service recovery retains tourists is an issue that cannot be ignored. The nudging effect of default options on consumers' behavior has been demonstrated in marketing. Whether default options can be as a powerful tool for service failure recovery is underexplored. Thus, this study aims to explore whether the default option can improve tourists' willingness to continue using the chatbot after service failure. Hypotheses were tested using three experiments, results showed that the opt-out default option can increase higher tourists' continuous use intention by decreasing tourists' affective effort. This effect is moderated by service recovery and emoticon. Specifically, opt-out default option is more effective to improve continuous usage intention when using informational help and pleading emoticon. These findings enriched theories on chatbot service failure and recovery and provide insight for default options using in chatbot under tourism and hospitality industry.

Are you game? Health Gamification during disruptions due to the pandemic for sustainability

The new normal has transformed IT company employees' working styles and patterns to accommodate changing business demands. It brings back the attention required for self-health, and the pandemic has demonstrated the importance of Health. The prominence of Gamification and its adaptation is growing in the education and learning industries. This research paper aims to study, analyze, and understand users' intention to use gamified health monitoring tools or applications with emerging health disruptions in the post-pandemic era. The study gathered data from Indian users as the primary source, where the participants' backgrounds were from Information Technology (IT) companies, and the survey gathered 185 responses online from Gen Z women. This study shows a significant association between the gamified engagement approach and user intention to engage. Considering the ongoing business uncertainty and growing work-from-home hours for IT employees, disruption may persist while creating the need for gamified health engagement.

Who are the best contributors? Designing a multimodal science communication interface based on the ECM, TAM and the Taguchi methods

Science communication conducted through mobile devices and mobile applications is an efficient and widespread phenomenon that requires communicators and design practitioners to further develop suitable design elements and strategies for such platforms. The effective application of multimodal or multisensory design in interfaces provides users with rich experiences. However, there is a lack of guiding recommendations for user interface design in the citizen science community. This study investigated factors affecting users’ perceptions and behavioral intentions toward multimodal scientific communication interface designs and identified the optimal combinations of such factors for such designs. Through a focus group, we defined three design dimensions of a science communication interface: visual, auditory, and haptic. An online experiment involving 916 participants was then conducted and integrated the technology acceptance model, expectation–confirmation model, and Taguchi method to examine the hierarchical combinations with the greatest influence in each dimension. The results indicated that interface design combinations primarily focusing on visual elements, with auditory and haptic as secondary elements, can serve as effective tools for science communication. Moreover, layout, color tones, vibration intensity, and sound volume significantly affected users’ perceptions and behavioral intentions. As one of the few studies using the Taguchi method to explore the design of science communication interfaces, the present findings enrich the multimodal theory from the perspectives of design and communication, highlighting its value in science communication. This paper simultaneously provides insights into how to select and combine multimodal design elements in science communication interfaces, demonstrating the potential of such designs to affect a user perception, satisfaction, confirmation, and continued usage intention.

Brand Personality and Loyalty as Drivers of Repurchase Intentions: Evidence from Pakistani Mobile Phone Users

The purpose of this study was to examine the influence of brand personality and brand loyalty on repurchase intention of Pakistani mobile phone users. The population for this study comprised master’s students at large public sector universities of Pakistan. Results of 318 responses indicate that sincerity, competence, ruggedness and sophistication significantly predicted brand loyalty, while the excitement dimension of brand personality failed to predict brand loyalty. It was also found that brand loyalty positively predicted the repurchase intentions among mobile phone users of Pakistan. The study also tested the moderating role of relative brand identification in the relationship between brand loyalty and brand repurchase intentions. By making overall significant contributions to the existing body of literature, the test of moderated regression analysis indicates the presence of a moderating role of relative brand identification. With remarkable contributions, this research presents valuable insights to marketers and stakeholders, helping them to understand brand personality, rebuild marketing strategies, boost brand loyalty, grasp relative brand identification, gain a competitive edge, make informed decisions and stay relevant in the market.