Influence User Intention Research Articles

Analisis Penerimaan Aplikasi SIDERING dari Perspektif Theory of Planned Behavior (TPB) Pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Magelang

The low adoption rate and lack of public knowledge regarding the SIDERING application in Magelang Regency are caused by various factors, such as public perception of the usefulness and ease of use of the application, as well as other factors that influence user intentions and behavior in adopting the SIDERING application. The study aims to analyze the level of acceptance of the SIDERING application using the Theory of Planned Behavior (TPB) model, and using five variables. The method used is quantitative by distributing questionnaires to respondents who use the SIDERING application. The data is in accordance with the instruments in the TPB. Data processing of the study used SPSS Statistics Version 29 to process, measure, and analyze the relationship between constructs. The results of the study showed that the research hypothesis was entirely accepted. The Theory of Planned Behavior (TPB) approach predicts relevantly where behavioral intentions to use the SIDERING application are clearly influenced by attitudes, subjective norms, perceived behavioral control, and interests. The level of acceptance of the use of the SIDERING application at the DPMPTSP Magelang Regency is quite acceptable and has been used well by SIDERING application users

An empirical study of factors influencing usage intention for generative artificial intelligence products: A case study of China

The rapid advancement of generative artificial intelligence technologies has sparked widespread interest, yet understanding of user adoption patterns for these tools remains limited. While the unified theory of acceptance and use of technology model has been widely applied to various technologies, its applicability to generative artificial intelligence products, which present unique challenges and opportunities, has not been thoroughly explored. This gap in knowledge hinders the development of effective strategies for promoting user acceptance and optimising the design of generative artificial intelligence tools. This study extends the unified theory of acceptance and use of technology model to investigate the factors influencing usage intention for generative artificial intelligence products. The study incorporates additional variables such as digital literacy, perceived risk and perceived trust to provide a more comprehensive framework. Using structural equation modelling to analyse survey data, the study found that effort expectancy, performance expectancy, social influence, and perceived trust significantly and positively impact usage intention. In addition, digital literacy indirectly enhances usage intention through effort expectancy, while perceived risk negatively influences usage intention through reduced trust. Notably, facilitating conditions did not exhibit a significant effect on usage intention. These findings offer valuable insights for developers and researchers in the field of generative artificial intelligence, highlighting the importance of user-friendly design, performance optimisation, and trust-building measures. By identifying key factors that drive user adoption, this study contributes to a more nuanced understanding of technology acceptance in the context of advanced artificial intelligence systems, paving the way for more effective development and implementation strategies in this rapidly evolving field.

Are public disease outbreaks still relevant to tourists’ decisions about using shared mobility?

ABSTRACT This research note investigates how potential public health crises affect shared mobility use by tourists. Using mixed methods, it extends the Protection Motivation Theory and Usage Situation Theory by exploring how trust and risk management influence usage intentions among current users and non-users of shared mobility services. Its qualitative analysis reveals the importance of tailored communication and transparency from service providers to foster trust and encourage adoption. Its quantitative ones indicate that experienced users emphasise coping mechanisms, whilst non-users are more swayed by perceived threats. Although COVID-19 restrictions have eased, work of this kind will remain relevant as the tourism sector adapts to enduring changes and prepares for potential future crises. By offering strategies to enhance shared mobility resilience during health emergencies, this study provides valuable guidance for tourism, hospitality and mobility stakeholders navigating an uncertain time.

Wearable neurofeedback acceptance model for students’ stress and anxiety management in academic settings

This study investigates the technology acceptance of a proposed multimodal wearable sensing framework, named mSense, within the context of non-invasive real-time neurofeedback for student stress and anxiety management. The COVID-19 pandemic has intensified mental health challenges, particularly for students. Non-invasive techniques, such as wearable biofeedback and neurofeedback devices, are suggested as potential solutions. To explore the acceptance and intention to use such innovative devices, this research applies the Technology Acceptance Model (TAM), based on the co-creation approach. An online survey was conducted with 106 participants, including higher education students, health researchers, medical professionals, and software developers. The TAM key constructs (usage attitude, perceived usefulness, perceived ease of use, and intention to use) were validated through statistical analysis, including Partial Least Square-Structural Equation Modeling. Additionally, qualitative analysis of open-ended survey responses was performed. Results confirm the acceptance of the mSense framework for neurofeedback-based stress and anxiety management. The study contributes valuable insights into factors influencing user intention to use multimodal wearable devices in educational settings. The findings have theoretical implications for technology acceptance and practical implications for extending the usage of innovative sensors in clinical and educational environments, thereby supporting both physical and mental health.

Pengaruh Moderasi Gender terhadap Niat Penggunaan Aplikasi Seabank di Kalangan Mahasiswa Yogyakarta dengan Analisis Model UTAUT2

This study aims to analyze the moderating effect of gender on the intention to use the Seabank application among Yogyakarta university students using the Unified Theory Of Acceptance And Use Of Technology 2 (UTAUT2) model. The research method used is a quantitative survey by distributing questionnaires to 110 university students. The data obtained were analyzed using Structural Equation Modeling (SEM) techniques, while the analysis tool used was SmartPLS. The results showed that gender moderation was not significant in influencing the relationship between facilitating conditions, hedonic motivation, price value and habit on behavioral intention to use the Seabank application. This finding suggests that these factors influence usage intention independently of gender. The implication of this study is that digital financial application marketing strategies can be focused on increasing performance expectations and effort without the need to consider gender differences.

Adorable interactions: investigating the influence of AI voice assistant cuteness on consumer usage intentions

In an era where user experience reigns supreme, an unexpected element is subtly influencing our interactions with technology— “Cuteness.” However, when discussing the design of digital products such as AIVAs, is cuteness merely a matter of appearance? This paper aims to unveil the complex psychological mechanisms and their impact on usage intention hidden behind the seemingly harmless allure of cuteness. Through an experimental study involving 284 participants and utilizing a moderated serial mediation model via PLS-SEM, this research reveals how aesthetic design differences influence usage intentions. The findings disclose three key insights: (1) A positive relationship between cuteness and usage intention is confirmed; (2) Social presence, performance expectancy and customer value act as serial mediations between cuteness and usage intention; (3) Perceived risk moderates the impact of cuteness on usage intentions by influencing social presence, performance expectancy, hedonic value and functional value. This contributes theoretical insights and practical guidance for the sustainable development and success of AIVAs.

Will metaverse revolutionize retail banking? Understanding user acceptance towards metaverse banking

PurposeThis study examines consumers’ usage intention towards retail metaverse banking. This research also investigated the mediating impact of trust and distrust. This research also examined the moderating impact of perceived security concerns.Design/methodology/approachFirstly, a qualitative study is performed to explore the benefits and sacrifices that may influence usage intention. Further, the quantitative study gathered a total of 308 responses to investigate the proposed hypotheses.FindingsThe findings suggest that perceived anthropomorphism and perceived immersion positively impact the usage intention towards retail metaverse banking. Further, lack of social interaction and perceived vulnerability had a negative influence towards retail metaverse banking. Further, trust and distrust were found to be significant mediators. Also, perceived security concern was shown to be a significant moderator.Originality/valueThe study contributes to the metaverse literature and suggests to banks how to enhance usage intention towards retail metaverse banking. The study also enriches the literature on dual-factor theory.

Analisis Penerimaan Aplikasi Naskah Dinas Elektronik (Nadine) Di Biro Umum Sekretariat Jenderal Kementerian Keuangan Menggunakan Technology Acceptance Model (TAM)

One of the impacts of the rapid development of information and technology (IT) in the archives sector is the presence of an electronic records management system (ERMS). Many ERMS has been developed, but not all of them have been successfully implemented. One important factor in its implementation is user acceptance. User acceptance influences user intentions when using an ERMS application. One of the ERMS is the Naskah Dinas Elektronik (Nadine) application atthe Ministry of Finance, which was implemented five years ago but has not yet been tested for user acceptance. This research was conducted to analyze the factors involved in accepting Nadine's application at the General Bureau as Centre Archives of the Ministry of Finance through the technology acceptance model (TAM). The research method used was quantitativedescriptive, with questionnaires distributed to 72 respondents using the Nadine application at the General Bureau. The data obtained was processed using a non-parametric statistical method, namelypartial least squares structural equation modelling (PLS-SEM). The research results show that system quality factors, user training factors, and facility conditions significantly influence user intentions when using the Nadine application. Perceived ease of use and perceived usefulness show a positive correlation with intention to use. Perceived usefulness has a significant direct influence on intention to use, while perceived ease of use has an indirect influence on intention to use through perceived usefulness. The implications of this research provide suggestions for policymakers to improve the quality of implementation of the Nadine application by improving system quality, providing training programs, and providing adequate facilities. This research can also be used to explore factors that influence users' intentions to accept ERMS, especially perceived usefulness and perceived ease of use.

A decision model for OTT service users to adopt wireless D2D caching networks: Exploring the Korean case

As many Over-The-Top (OTT) users opt for mobile devices, mobile network traffic surges. However, current mobile communication technology faces difficulties. To provide a stable video content consumption experience to users, reliable alternatives must be found to resolve the limitation of the conventional approach. Accordingly, wireless Device-to-Device (D2D) caching networks have gained attention as a reliable alternative. Considering it can reduce network-related overheads, save related costs, and improve OTT video consumption environment, there is a high possibility that telecommunication operators want to commercialize this technology. To commercialize wireless D2D caching networks, users need to share their resources, such as personal information, smartphone storage, and battery. This study explores the decision-making process of mobile OTT users regarding D2D caching adoption on their mobile devices in Korea. An online survey of 94 respondents was conducted in South Korea. By using the analytic hierarchy process (AHP) approach, this study devised an evaluation model that includes three major factors: perceived benefits, perceived costs, and perceived situational conditions. The results reveal that risks, rather than situational factors and benefits, predominantly influence user intentions and strategies. Streaming video content via mobile data or Wi-Fi is viewed as the most feasible choice. Moreover, users show a preference for pre-downloading video content over adopting wireless D2D caching networks on their mobile devices. The findings provide a guideline for understanding the responses of mobile OTT service users and their priorities in responding to adopting wireless D2D caching networks.

How social media marketing activities affect brand loyalty? Mediating role of brand experience

PurposeIncreasingly brands are performing several activities on social media in order to alter consumer consumption towards their offering. However, limited studies have attempted to understand as how activities on social media influence usage intentions and brand loyalty. Thus, this study aims to examine the influence of social media marketing activities (SMMA) on brand experience and its association with continued usage intentions (CUI) and brand loyalty.Design/methodology/approachThe study conceptualized a research model by using the theoretical premise of stimulus-organism-response theory. SMMA acts as stimulus, four (sensory, affective, behavioral and intellectual) elements of brand experience act as organism, and CUI and brand loyalty act as response. A survey-based questionnaire is used to collect data from 309 respondents. The hypothesized associations of research model were examined using the structural equation modeling approach.FindingsResults of the study are in line with hypothesized associations among constructs. Results suggest that SMMA is associated with all four elements of brand experience. Also, affective, behavioral and intellectual aspects of brand experience are associated with CUI which influence brand loyalty. The moderating role of education on hypothesized association and the mediating role of organism are also confirmed.Originality/valueUsing stimulus-organism-response theory, this study confirms that SMMA are associated with sensory, affective, behavioral and intellectual aspect of brand experience which has not been examined so far. Also, the novel findings of study add to existing literature of SMMA, brand experience and brand loyalty. The study further contributes to literature by showing the moderation effect of education.

Success Factors of Telemedicine Startup In Vietnam: The roadmap to transform healthcare customer behavior

Introduction & Objective: Telemedicine has become a breakthrough solution for improving access to health care services. In Vietnam, telemedicine is a key national program developed by the Ministry of Health and the government. However, the implementation process encountered many challenges, and the number of successful businesses in this field is still limited. This study integrated the technology acceptance model and the extended valance framework to develop an efficient behavioral model for investigating the relationship between trust in provider, perceived ease of use, perceived benefit, and perceived risk on usage intention. Methods: The proposed framework was verified through in-depth interviews with three experts in the Vietnamese health technology market and was tested by 246 participants via a web-based survey. Results: Generally, the findings showed that perceived ease of use and perceived benefit positively and significantly affected usage intention, whereas perceived risk negatively and significantly influenced usage intention. Trust in the provider positively and significantly influenced usage intention and perceived benefit, but negatively influenced perceived risk (β = -0.677, p = 0.000). Perceived ease of use significantly and positively affected perceived benefit, whereas the effect of perceived ease of use on perceived risk was not statistically significant (p = 0.128). Conclusion: The proposed hypothetical model offers empirical insights for healthcare professionals, service providers, and authorities. Moreover, it can serve as a theoretical basis for future research

Disease characteristics influence the privacy calculus to adopt electronic health records: A survey study in Germany.

The electronic health record (EHR) is integral to improving healthcare efficiency and quality. Its successful implementation hinges on patient willingness to use it, particularly in Germany where concerns about data security and privacy significantly influence usage intention. Little is known about how specific characteristics of medical data influence patients' intention to use the EHR. This study aims to validate the privacy calculus model (PCM) regarding EHRs and to assess how personal and disease characteristics, namely disease-related stigma and disease time course, affect PCM predictions. An online survey was conducted to empirically validate the PCM for EHR, incorporating a case vignette varying in disease-related stigma (high/low) and time course (acute/chronic), with N = 241 participants, aged 18 years and older residing in Germany with no previous experience with the diseases mentioned in the respective medical reports. Participants were randomized (single-blinded) into four groups in parallel: high stigma and acute time course (n = 74), high stigma and chronic time course (n = 56), low stigma and acute time course (n = 62) and low stigma and chronic time course (n = 49). The data were analyzed using structural equation modeling with partial least squares. The model explains R² = 71.8% of the variance in intention to use. The intention to use is influenced by perceived benefits, data privacy concerns, trust in the provider, and social norms. However, only the disease's time course, not stigma, affects this intention. For acute diseases, perceived benefits and social norms are influential, whereas for chronic diseases, perceived benefits, privacy concerns, and trust in the provider influence intention. The PCM validation for EHRs reveals that personal and disease characteristics shape usage intention in Germany. The need for tailored EHR adoption strategies that address specific needs and concerns of patients with different disease types. Such strategies could lead to a more successful and widespread implementation of EHRs, especially in privacy-conscious contexts.

Factors Influencing Indonesians' Intentions to Use the Tokopedia Online Marketplace

Manuscript type: Research paper Objective: Many factors influence people’s intention to use online marketplaces, especially Tokopedia in Indonesia. The purpose of this study is to explain these influencing factors of usage intention by simulating the impact of innovativeness, mobility, perceived ease of use, and perceived usefulness. Research Design and Methods: A quantitative approach was used through an online survey and resulted in 250 responses which were analysed with a structural equation model to test construct reliability, average convergent validity, and structural model fit. Findings: According to the findings, mobility, innovativeness, perceived utility, and perceived simplicity of use are characteristics that influence user intention. The perception of utility has the biggest influence on the intention to use something, whereas perceived ease of use has the least. Implications and Recommendations: These findings have significance for online marketplaces, such as Tokopedia in Indonesia, in terms of developing and improving application performance based on user demands.

User’s Continuance Intentions of Digital Payment Based on Expectation-Confirmation Method and Trust

Since the Covid-19 pandemic entered Indonesia in 2020, people have started to switch from cash/traditional payments to digital payments with aim to reduce direct physical contact. Digital payment that currently booming is Qris payment method, which offer convenience and speed in transactions. This study aims to look at user continuance intention on using digital payments using the Expectation-Confirmation Model (ECM) approach. In this volatility, uncertainty, complexity, and ambiguity (VUCA) era, this study adapt the concept of trust in technology adoption. Based on the literature study that has been collected, researchers obtain several variables that can influence user intentions to continue using digital payments, including: confirmation, perceived usefulness, satisfaction, information quality, perceived privacy protection and security, trust, and continuance intention.

Determinants Affecting Intention to Use E-Wallets in Vietnam: An Empirical Case of Momo

This research endeavors to identify and assess the determinants influencing the intention to use Momo e-wallet in Ho Chi Minh City, establishing connections between these factors. The research methodology involved the design of a questionnaire based on the UTAUT model, tailored to evaluate the determinants affecting the intention to use e-wallets in Vietnam, with a specific focus on Momo. A total of 388 respondents, all Momo users, participated in the study. The results of the regression analysis revealed that all four determinants significantly impact the intention to use the Momo e-wallet, with varying levels of significance: Effort Expectancy (β=0.45), Promotional Benefits (β=0.379), Performance Expectancy (β=0.13), and Facilitating Conditions (β=0.072). Understanding these factors that influence usage intention and gaining insights into user preferences can facilitate the development of e-wallet systems that support e-wallet providers in penetrating the market and retaining their existing user base.
 Keywords: intention to use, e-wallets, Momo, Vietnam

Does Robotaxi Offer a Positive Travel Experience? A Study of the Key Factors That Influence Consumers’ Use of the Robotaxi

Presently, robotaxi is being tested in cities such as Beijing, Changsha, Guangzhou, etc., and it remains a relatively new mode of transportation for consumers. Considering that robotaxi is a new mobility model, its popularity has an immediate impact on the function and efficiency of urban traffic, so further research on consumers’ perceptions is necessary in order to improve their acceptance of robotaxi. In this study, we explored the behavioral intention of current users of robotaxi based on their performance expectancy, effort expectation, and perceived risk. Based on the results, it appears that performance expectations and effort expectations positively influence usage intentions, which indicates that improving travel efficiency and lowering the threshold for robotaxi use will assist consumers in accepting it. In terms of consumer behavior, perceived risk negatively impacts usage intention, meaning that personal safety, service quality, and travel experience are important factors. Performance expectancy and effort expectancy are positively correlated, indicating that improving travel efficiency and lowering thresholds are complementary.

Awareness of using chatbots and factors influencing usage intention among nursing students in South Korea: a descriptive study.

Artificial intelligence (AI) has had a profound impact on humanity; in particular, chatbots have been designed for interactivity and applied to many aspects of daily life. Chatbots are also regarded as an innovative modality in nursing education. This study aimed to identify nursing students' awareness of using chatbots and factors influencing their usage intention. This study, which employed a descriptive design using a self-reported questionnaire, was conducted at three university nursing schools located in Seoul, South Korea. The participants were 289 junior and senior nursing students. Data were collected using self-reported questionnaires, both online via a Naver Form and offline. The total mean score of awareness of using chatbots was 3.49±0.61 points out of 5. The mean scores of the four dimensions of awareness of using chatbots were 3.37±0.60 for perceived value, 3.66±0.73 for perceived usefulness, 3.83±0.73 for perceived ease of use, and 3.36±0.87 for intention to use. Significant differences were observed in awareness of using chatbots according to satisfaction with nursing (p<.001), effectiveness of using various methods for nursing education (p<.001), and interest in chatbots (p<.001). The correlations among the four dimensions ranged from .52 to .80. In a hierarchical regression analysis, perceived value (β=.45) accounted for 60.2% of variance in intention to use. The results suggest that chatbots have the potential to be used in nursing education. Further research is needed to clarify the effectiveness of using chatbots in nursing education.

E-procurement adoption in Nigeria: perceptions from the public sector employees

PurposeThis study attempts to examine the factors that influence user intention to adopt e-procurement in the Nigerian public sector.Design/methodology/approachA well-structured questionnaire was used to collect primary data from 278 procurement and information technology (IT) departments’ officials of key federal government ministries and agencies. The technology acceptance model (TAM) model was adopted and extended with security-related factors, namely perceived trust and perceived security. A partial least squares-structural equation modelling (PLS-SEM) approach was used to test and validate the model.FindingsThe results indicated that perceived usefulness is the best predictor of users’ intention to adopt e-procurement, followed by perceived security and perceived trust. In contrast, however, perceived ease of use was found to have a significant negative effect on the intention to adopt e-procurement.Originality/valueThis study is among the first in the Nigerian public sector context to evaluate users’ perceptions on e-procurement adoption with the use of a distinctive research model (TAM). The study's findings contribute to a better understanding of the factors influencing the adoption of e-procurement in the Nigerian public sector.

Factors influencing the adoption of public mobile libraries in China: a stimulus–response perspective

PurposeThis study aims to investigate the factors that affect the intention to use public mobile libraries and enhance the quality of mobile library services to attract and retain users.Design/methodology/approachA questionnaire survey was conducted with 391 valid users in China. Based on the stimulus–response theory and user individual characteristics, a model was developed to examine the factors influencing the intention to use public mobile libraries. The model was tested using statistical software, such as SPSS 25.0 and AMOS 24.0.FindingsThe results indicate that technological factors, content factors, individual factors and psychological factors significantly influence the intention to use public mobile libraries. The impact of system quality and perceived ease of use in technological factors is relatively balanced. Among content factors, information quality is the most significant, while information literacy has a greater influence compared to subjective norms in individual factors. In psychological factors, perceived matching and perceived pleasure both positively influence usage intention, while perceived cost has a negative impact.Research limitations/implicationsFirstly, this study only investigates users’ intention to use, but intention does not necessarily equate to actual usage behaviour (King and He,2006). Future research can introduce new variables to explore users’ adoption and continuous usage behaviours. Secondly, this study does not differentiate between different types of mobile library users. Future research can consider different user types, such as potential users and current users, to investigate the similarities and differences in their willingness to adopt mobile library services. Thirdly, this study is primarily cross-sectional. Future research can consider longitudinal studies to provide more in-depth insights into user behaviour.Practical implicationsThis paper identifies external and internal stimulus factors and conducts a comprehensive investigation into the factors influencing the intention to use public mobile libraries, thus providing generalizable research findings. Unlike previous studies, this research introduces the information literacy variable, enriching the model of factors affecting users' intention to use mobile libraries and yielding more comprehensive conclusions. Consequently, the study aims to be grounded in the actual usage ideas and intentions of diverse user groups, constructing a model that highlights factors influencing the intention to use public mobile library services.Social implicationsFrom a social perspective, this study offers four implications for improving the utilization of public mobile libraries. Firstly, it is crucial to integrate digital resources, enhance information quality in public mobile libraries and improve platform usability. Secondly, adopting a user-oriented approach is essential to improve the service level of public mobile libraries and stimulate residents’ participation. Thirdly, efforts should be made to strengthen user information literacy and increase information utilization. Fourthly, top-level design improvements, effective promotion efforts and user behaviour guidance are essential for the success of public mobile libraries.Originality/valueThis study contributes to the improvement of public mobile library services and the advancement of modern public cultural services by identifying the key factors that drive the intention to use such services. The findings have practical implications for promoting high-quality development and enhancing the popularity of public mobile libraries.

Understanding factors influencing usage intention of virtual fitting services

Understanding factors influencing usage intention of virtual fitting services