User Attitudes Research Articles

Exploring the Influence of Internet Usage Attitudes on Educational Equity among Chinese Migrant Workers: A Regional Analysis

As urban builders, migrant workers (rural residents working in cities) should fairly enjoy urban educational resources. However, due to their social status, they face numerous educational challenges. This study explores how Chinese migrant workers' attitudes towards Internet usage influence educational equity, particularly in an environment where the Internet has become indispensable for learning, work, and daily life among Chinese residents. Using ANOVA and correlation analysis, the study investigates the relationship and influencing factors between migrant workers' attitudes towards Internet usage and educational equity. The research data were obtained from a 2020 survey conducted by the Peking University Chinese Social Sciences Survey Center, focusing primarily on Chinese migrant workers. The findings reveal that migrant workers' attitudes towards Internet usage significantly impact educational equity; groups that place greater emphasis on Internet usage exhibit better educational equity than others. Although the statistical differences in Internet usage attitudes among different regions are not significant, educational equity disparities among regions remain statistically significant. Based on these findings, recommendations are provided at the family, school, and government levels, aiming to address the digital divide, establish remote open education platforms, and improve the household registration system to enhance educational equity for migrant workers.

Nurses' acceptance of nursing information systems: Amulti-center cross-sectional study in China.

In China, nursing information systems (NIS) implementation can face numerous barriers to acceptance, including the attitudes of potential users. However, few studies have evaluated this acceptance. The aim of this study was to explain the acceptance of NIS utilizing a survey based on unified theory of acceptance and use of technology. A multi-center cross-sectional study utilizing an online survey was conducted. SPSS AMOS was used to conduct a structural equation modelling analysis. This research followed the STROBE Checklist. A total of 3973 Nurses participated in the study between January 2023 and March 2023. The acceptance of NIS among nurses was overall moderate to high. The proposed model has been rigorously tested and validated using empirical data, ensuring its credibility and dependability. Performance expectancy (PE), social influence (SI), and attitude significantly and positively affected intentions to use NIS. Effort expectancy (EE) did not show any significant effects in the sample. Facilitating conditions (FCs) was found to have a negative relationship with the intention to use NIS. There was a statistically significant difference BI between the different age groups, working years, and computer training experience. The model demonstrates a good fit with the observed data. This study identified PE, SI, and attitude as facilitators of nurses' intentions to use NIS. The findings about EE indicates that the ease of using NIS does not seem to be a concern among nurses. Moreover, high FC might be perceived as indicative of a complex system or extensive usage, that can lead to increased workload and reduced behavioural intention (BI). The significant differences in BI among various demographic groups highlight the need for more studies understanding the preferences and barriers faced by different, levels of experience and training backgrounds. No patient or public contribution.

Drivers of Knowledge Sharing in Virtual Brand Communities: Self-Determination Perspective

ABSTRACT The prevalence of virtual brand communities and the knowledge sharing occurring throughout these populations has become a staple of both business and consumer online realities. Expanding work on personal motivations, and guided by self-determination theory, this research explores autonomous and relatedness motivations that drive individual knowledge sharing within online communities. The authors argue that such knowledge sharing can be fostered by many drivers, including self-presentation factors, brand community engagement elements, user attitude toward the brand, user reputation, size of community network, and reciprocity from other community members. Analysis was conducted using data collected longitudinally from 2866 club members of Xiaomi’s online MI User Interface community in China. Results reveal that personal signature, post length, online time, login frequency, brand attitude, reputation, online social network, and reciprocity all positively affect individual knowledge sharing within the virtual brand community, while the use of picture posts may have adverse effects and impact knowledge sharing negatively.

Speak, search, and stay: determining customers' intentions to use voice-controlled artificial intelligence (AI) for finding suitable hotels and resorts

PurposeThe present study investigates the customers' behavioural intention to use voice-based artificial intelligence (AI) to find the appropriate hotels and resorts in an emerging nation. This study determines the influences of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to obtain the appropriate information and find the location of the hotels and resorts.Design/methodology/approachThis study used a purposive sampling method for collecting data from the respondents, who are customers of the hotels and resorts in Bangladesh. A self-administered survey questionnaire was used to obtain responses from 378 respondents. After collecting the data, the reliability and validity of the constructs and hypotheses were tested via partial least squares structural equation modelling (PLS-SEM).FindingsThe findings of the study indicate that information quality, system quality, privacy and novelty value have a positive and significant impact on attitude and behavioural intention to use voice-based AI assistant services in an emerging nation. However, system quality does not significantly influence behavioural intention to use voice-based AI assistant but it has an indirect significant influence on behavioural intention through the mediation effect of attitude.Practical implicationsThe study’s findings provide essential guidelines for practitioners to understand the impacts of information quality, system quality, privacy, and novelty value on attitude and behavioural intention to use voice-based artificial intelligence to find the appropriate hotels and resorts to meet customers' needs and expectations.Originality/valueThis study contributes to the existing literature on technology adoption by highlighting the interconnectedness of various factors influencing users' behavioural intentions. The study’s focus on an emerging nation provides a valuable theoretical contribution. It highlights that user perceptions and attitudes towards technology adoption may differ from those in developed nations due to unique contextual factors.

Video-On-Demand Streaming Services Subscription Antecedents and Consequences: The Uses and Gratifications Theory Approach

Introduction: This study aims to examine the impact of affective gratification, tension release, cognitive gratification, perceived risk, and viewing addiction on subscription behavior as antecedents and its consequence namely customer engagement. Background Problems: The need for satisfaction is a trigger for media use. As time passes, research on media use through use and audience gratification approaches will always be needed, so this should be carried out in the context of streaming services. Novelty: This research focuses on streaming services using the uses and gratifications theory approach. Similar research has focused on the theoretical implications of usage attitudes, but this research has implications for actual usage behavior, namely subscription behavior. Research Methods: Data have been collected using an online survey with purposive sampling and then analyzed using partial least squares structural equation modeling. Findings: The results suggest that only five of the 13 hypotheses proposed are supported. Companionship and cognitive gratification do not affect subscription behavior, while perceived risk did not impact subscription behavior negatively. Conclusion: The results of this study indicate that streaming service subscribers are more concerned with functional benefits, such as service usability, variety of content, entertainment, and relaxation media. Furthermore, the implications of this research provide benefits both theoretically and practically

Experience Flow and Social Media Attitude toward Purchase Intention

This paper employs a quantitative approach to hypothesis testing through structural equation modeling. The advertising perceived value of the consumer is described by four factors: entertainment, informativeness, credibility, and irritation. Based on a sample size of 406 individuals who use advertising platforms such as Facebook, YouTube, Instagram, and TikTok. The study validated the positive relationship between advertising's three components, namely entertainment, information, and credibility, and the user's flow experience and attitude toward advertising. Conversely, the advertising irritation component has an adverse effect on both user experience and attitude toward advertising. Furthermore, the findings also show a positive association between experience flow and people's attitudes about advertising. Finally, the study found that both experience flow and attitude toward advertising have a significant and positive effect on the tendency of consumers to purchase.

Advancements in social media sentiment analysis: A study utilizing the PassiveAggressiveClassifier model

In recent years, social media sentiment analysis has garnered widespread attention and application within academic circles. By scrutinizing textual data from social media users, insights into users' emotional inclinations and attitudes can be gleaned, thereby furnishing vital references for domains such as corporate marketing and public opinion surveillance. Leveraging the PassiveAggressiveClassifier model as a foundation, this study undertakes sentiment analysis on posts across social media platforms including Instagram, Facebook, and Twitter. Through stages encompassing data preprocessing, model training, and performance evaluation, the model achieves an accuracy rate of 71.43% on the test dataset. Experimental findings indicate commendable proficiency of the model in discerning negative sentiments, albeit encountering challenges in classifying neutral sentiments. Future research endeavors may seek to refine model performance, broaden datasets, and explore novel application scenarios, thereby addressing challenges and meeting evolving demands within the realm of social media sentiment analysis.

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

Does usage scenario matter? Investigating user perceptions, attitude and support for policies towards ChatGPT

ChatGPT's impressive performance enables users to increasingly apply it to a variety of scenarios. However, previous studies investigating people's perceptions or attitudes towards ChatGPT have not considered the effects of the usage scenario. This paper aims to extract the representative scenarios of ChatGPT, explore differences in user perceptions for each scenario, and provide a policy support model. We extracted five scenarios by collecting 50 open-ended responses from Mturk, including “Scenario 1: Daily life tasks,” “Scenario 2: Enhance efficiency (work and education purposes),” “Scenario 3: Replace manpower (work and education purposes),” “Scenario 4: Browsing and general information seeking,” “Scenario 5: Enjoyment.” Subsequently, we identified four key variables to be tested (i.e., information quality, perceived risk, attitude, and policy support), and classified usage scenarios into different categories according to the perception variables measured via an online survey (n = 514). Finally, we built a model including the four variables and tested it for each scenario. The results of this study provide deep insights into user perceptions towards ChatGPT in distinct scenarios.

Gender Issues, Social Equity, and the Sustainable Management of Urban Transport Networks: An Italian Case Study

The paper contains transport and environmental analyses for the Gallipoli area and presents results from a consultation process involving transport operators, citizens, tourists, public employees, and stakeholders. Through statistical analysis of the data, the paper provides insights into the needs of specific user categories, highlighting gender issues and social equity as key aspects of urban policies. This paper further investigates users’ potential willingness to pay for general improvements in bus service quality and environmental conditions using discrete choice modeling. This study aims to address the challenge of understanding urban travel patterns and the underlying forces influencing user attitudes, which are often found in city surveys. Specifically, a Random Utility Model was used to profile users based on specially collected survey data. The results indicate the potential to meet latent systemic transport demand with more sustainable collective transport modes, particularly among women aged 19-29 who own a car. Simultaneously, there is a willingness to pay higher public transport tariffs for improved service, which is also largely environmentally sustainable. The paper can serve as a valuable resource for professionals in the transport and environmental sectors as well as for policymakers.

Mobile Payment Innovations in Ambiguously Enforced Use Contexts

In this study, the authors discuss whether the innovation characteristics of mobile payment (m-payment) explain user attitudes and intentions in a psychologically conflictual context regarding the locus of control of use decisions. The authors present the development of an instrument that fully integrates innovation diffusion theory with the technology acceptance model and analyze data collected with it from Brazilian m-payment users during the COVID-19 pandemic. With path analysis, the authors found that the innovation factors of perceived observability and perceived relative advantage respectively explain the attitudes and the intentions toward m-payment. None of the other innovation factors had explanatory power. Moreover, two expected relationships in voluntary use settings for the formation of attitudes were not supported, leading the authors to conclude that the locus of control in use decisions was ambiguous to the user. The findings contribute to research on innovation diffusion, technology acceptance, consumer studies, usage patterns, behavioral change, and on the debate about the voluntariness or mandatoriness of technology use.

User stickiness to facial recognition payment technology: insights from Sako’s trust typology, privacy concerns, and a cross-cultural context

People remain concerned about using facial recognition payment (FRP) technology because of risks such as biological information and data leakage. Therefore, promoting individuals’ continual use behavior of FRPs is critical for their successful deployment. However, the majority of FRP studies emphasize individuals’ intentions. A discrepancy between intention and actual use may exist, but few or no studies have explored and investigated the factors affecting people’s sustained use behavior. To fill this gap, we use the concept of user stickiness to reflect continuous use behavior and develop a research model by considering the theory of planned behavior (TPB) and Sako’s trust typology (competence, contractual and goodwill trust) and privacy concerns to explain and predict user stickiness to the FRP. We examined this model via partial least squares (PLS) on samples from 1278 users (648 from China and 630 from the USA) with FRP experience. In both countries, competence, contractual, and goodwill trust are positively related to users’ attitudes and perceived behavioral control and negatively related to privacy concerns. Our study also highlights cultural differences in the model, showing the distinct impacts of privacy concerns on user attitudes and FRP stickiness between the Chinese and American samples. This study contributes to the literature by revealing and clarifying the different mechanisms of competence, contractual, and goodwill trust on user stickiness to FRP through the constructs of the TPB and privacy concerns in the context of China and the USA.

The effect of advertising television broadcast migration on the attitude of television users

Background: This research was motivated by ratifying the Job Creation Law, which was related to implementing television broadcasts in Indonesia, which were initially analogue to digital. This transition has implications for the progress of the digital television broadcast industry in overcoming inefficiencies in the analogue TV broadcasts that have been used so far. Purpose: This study aims to assess how advertising affects viewers’ cognitive, emotional, and conative attitudes as it transitions from analogue to digital TV broadcasts in the media. Method: The research method uses descriptive methods with a quantitative approach. Data collection techniques include distributing questionnaires and conducting literature studies. This research involved 100 respondents who were obtained using the probability sampling technique in the random sampling category. Results: The study’s findings indicate that the use of advertisements to promote the switch from analogue to digital TV broadcasts has a significant impact on the attitudes of television viewers in the Garut Regency with regard to cognition, affect, and conative thinking. These attitudes are demonstrated by the audience’s acceptance of new information or knowledge (cognitive), their feelings of trust following exposure to these advertisements (affective), and their desire to switch to digital TV broadcasts right away (conative). Conclusion: Indicators of advertising exposure through frequency, duration, and attention have a strong influence in influencing audiences, especially cognitive, affective, and conative aspects, where the information provided can provide new perceptions and knowledge for people who constantly see advertising broadcasts transitioning to digital TV broadcasts on television. Implications: The results of this research can provide understanding and insight regarding the transition to digital TV broadcasting and how important information is so that one day, television users who read the results of this research can pay attention to the advertisements shown on television to understand and implement the information they receive.

Examining Employee Perspectives to Embrace Voice Assistant Devices in the Workplace

As technology evolves into streamlined tasks, Voice Assistant Devices (VADs) have become increasingly valuable for office settings. This study explores the factors influencing employees’ intentions to use VADs at work using a sample of 324 respondents from India. Integrating theories from technology adoption, innovation diffusion, and trust, this study highlights that performance expectancy, compatibility and observability significantly improve attitudes toward VAD usage in professional settings. The quality of VAD outputs notably boosts user trust, emphasizing the need for high-performance devices. Employees’ receptiveness to innovation also heightens their expectations for VADs’ effectiveness. Moreover, the compatibility and visibility of VAD benefits critically shape user attitudes, directly affecting users’ willingness to adopt this technology. Our study can help organizations plan strategies for applying VADs to support workplace tasks.

User attitudes towards sustainable dentistry: a descriptive study

User attitudes towards sustainable dentistry: a descriptive study

From the Syrian to Ukrainian refugee crisis: Tracing the changes in the Italian Twitter discussions through network analysis

Abstract This study examines the Italian Twitter landscape during the 2015 Syrian and 2022 Ukrainian refugee crises, with a focus on the evolution of anti-refugee discourse. Through the analysis of 400,000 tweets, we sought to identify attitudinal communities, track changes in user positions, and evaluate the trending potential of the communities. Our findings indicate a shift in opinion leaders within the anti-refugee community from 2015, alongside a persistent ability to influence public discourse. Additionally, while the pro-Ukrainian refugee community has grown, incorporating previously neutral users, it remains loosely connected. Finally, the shifts in attitudes of Italian populist leaders regarding Syrian and Ukrainian refugees are interpreted in light of the changes in user attitudes as observed in the communication networks. This research highlights the importance of computational communication methods for investigating fringe groups absent from mainstream discourse, and underscores the necessity of content moderation and proactive digital activism to counter anti-refugee sentiment online.

Practice of district health information data for decision making and associated factors among performance monitoring team at Hadiya Zone Public Health Facilities SNNPR, Ethiopia.

Evidence based practice is a key tool to increase effectiveness and efficiency of healthcare providers worldwide and using health facility data at all levels is vital. But, it is poorly practiced in developing countries including Ethiopia. As a result, the purpose of this study was to evaluate the level of practice of District Health Information for decision making and associated factors among performance monitoring teams in Hadiya Zone public health facilities, South Nation Nationality People Republic, Ethiopia, in 2022. A facility based-cross sectional study was employed from May 3 to June 3, 2022. To obtain data, a pre-tested structured questionnaire with qualitative was employed. A multistage random sampling technique was employed to select performance monitoring team from public health facilities. Data was entered into a computer using Epi data version 4.6, and analyzed using SPSS version 25. Bivariable and multivariable analyses were used to identify determinants related to practice of district health information. For the qualitative section, thematic analysis was used. The practice of district health information for decision making among performance monitoring team in this study was 48% (95% CI: [42.3, 54.1]). having standard sets of indicators [AOR = 4.055; 95% CI: (1.67, 9.86)], Being trained [AOR = 3.12; 95%CI: (1.385, 7.023)], having internet access [AOR = 3.23; 95% CI: (1.52, 6.9)], having positive attitudes [AOR = 2.667; 95% CI: (1.28, 5.56)], having low motivation [AOR = 0.202; 95% CI: (0.081, 0.504)], Sufficient skill [AOR = 3.239: 95%CI; (1.328, 8.164)] and having knowledge [AOR = 6.227; 95% CI: (2.12, 12.8)] were significantly associated with practice of District health information for decision making. In general, this study found that the performance monitoring team at health facilities poorly practiced district health information. It requires major improvement to provide a consistent set of indicators, training, internet access, user attitudes, motivation, and necessary skills and knowledge, as well as to raise users' confidence in DHIS2.

The green Fintech paradox: understanding the dynamics of green brand positioning and user decision-making in the digital financial landscape

Purpose The ever-evolving landscape of financial technology (Fintech) has revolutionised payment methods and raised questions about what drives user behaviour in adopting these innovative solutions. This study, using narrative transportation theory as an underpinning theory, aims to investigate into the dynamics of green user behaviour in adopting Fintech payments. Design/methodology/approach This study used a deductive approach, and with data obtained from 635 respondents through the purposive sampling technique, partial least squares structural equation modelling was employed to yield significant insights. Findings The study found a positive association between green brand positioning and product differentiation. However, it unexpectedly didn't impact user attitudes towards Fintech payments. Green brand image and perceived performance positively influenced product differentiation. Perceived product differentiation fully mediated the association between green brand positioning and user attitudes. The study introduced fear of missing out's (FOMO) moderating role, enriching eco-conscious marketing insights and user behaviour understanding. Research limitations/implications This study reveals crucial implications for marketers, policymakers and user experience (UX) designers operating within the Fintech industry. It emphasises green brand positioning's impact on product differentiation, user attitudes and its mediating role. It advocates for sustainability integration, innovation, strategic messaging and user-centric improvements to optimise user perceptions and competitiveness in the evolving Fintech landscape. The study's cross-sectional design may limit the ability to establish causal relationships over time and overlook temporal changes in green Fintech adoption dynamics; thus, longitudinal studies are warranted to better understand the evolving nature of user attitudes and behaviours towards green Fintech payments. Originality/value This study adds novelty to the existing body of literature by introducing the dimension of innovation appeal to green brand positioning and employing narrative transportation theory in the Fintech realm. The findings also add novelty by highlighting the moderating impact of fear of missing out in predicting the association between green brand positioning and product differentiation in the realm of green Fintech and green use behaviour.

Investigating the impact of AI on improving customer experience through social media marketing: An analysis of Jordanian Millennials

The advent of artificial intelligence (AI) has triggered a significant evolution in the sphere of social media. This research is designed to explore the influence of AI technologies in user experience under Social Media Marketing examining augmented reality, virtual influencers, and chatbots in Jordanian Millennials. The associations were assessed with the importance analysis in the data using Smart PLS 4 and a combination of direct hypothesis testing and mediation analysis. With that being said, our results suggest a non-negligible effect of AI on the social media user journey. In addition, we find that chatbots, virtual influencers, and augmented reality can effectively mitigate the role of user experience in user attitudes toward AI. Realizations like these contribute to the epistemology of the area and provide actionable input for researchers and professionals.

Service Quality and Personal Attitudes as Predictors of Overall Satisfaction with Public Buses: A Case Study in Kathmandu, Nepal

This study analyzes the effects of certain variables on bus service quality (SQ) and how SQ and personal attitudes affect satisfaction with public buses. A total of 552 responses were collected using a questionnaire that captured socioeconomic and trip characteristics, satisfaction ratings for SQ attributes, and the personal attitudes of consumers. Factor analysis was used to uncover unobserved latent features and to generate two measurement models: for SQ and for personal attitudes of bus users. Three latent variables (“information, safety and security”, “comfort”, and “accessibility/availability”) were observed that signify SQ. Simultaneously, two latent variables (perceived value, and behavioral intention and involvement) were obtained representing the attitude of customers. A structural equation modeling method was employed to compute interconnections among these variables. Information and safety and security had a major influence on SQ followed by comfort and accessibility/availability. Similarly, perceived value had a greater impact on personal attitudes than that on behavioral intention and involvement. Findings also show that evaluating overall SQ is better explained when consumers rate the service quality of buses after knowing about the various attributes. Findings revealed that the overall satisfaction of customers with bus services was influenced more by SQ-related attributes than by personal attitudes. The study also provided insights into public bus service quality improvements that must be emphasized and enhanced to increase ridership. This understanding of connections among SQ, personal attitudes, and overall satisfaction can assist transit officials in developing effective strategies and investment plans to meet the needs of passengers and boost customer satisfaction with public buses.