Influence User Attitudes Research Articles

Will Users Prefer Cultural Heritage Exhibition in Digital Twin? The Mediating Role of Perceived Authenticity under the Moderation of Individual Profiles

ABSTRACTDigital twin techniques provide unprecedented opportunities in cultural heritage and museum exhibition services. As the techniques intersect with cultural heritage, a compelling question arises: whether users accept the new service with pleasure or show aversion to the technology. In this paper, we compare user attitudes towards digital twin exhibition and traditional physical exhibition through laboratory experiments. Drawing from the Stimulus‐Organism‐Response (SOR) theoretical framework, we incorporate perceived authenticity and individual profiles such as field experience and personality traits to explore the underlying mechanisms and boundary conditions influencing user attitudes towards digital twin exhibitions. It showed that compared with traditional exhibition, users with low level of cultural heritage familiarity, agreeableness trait and openness trait would perceive less authenticity in digital twin exhibition, and in turn report more negative attitudes towards the exhibition. The findings contribute to a better understanding of the fusion of technology and cultural heritage from user's perspective and provide insights into technology‐empowered services of cultural heritage and smart museums.

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.

A Study on the Willingness of “Generation Z” Consumers to Use Online Virtual Try-On Shopping Services Based on the S-O-R Framework

Virtual try-on services, which significantly reduce return rates and enhance user shopping experiences, pose a crucial question: how can user willingness to use these services be increased? Additionally, “Generation Z” consumers, known for their unique traits and significant consumption potential, have been relatively understudied in this context. To address this theoretical gap, this study employs the Stimulus–Organism–Response (S-O-R) theory as its research framework, using online virtual shoe try-on services as a case study. Focusing on “Generation Z” consumers, this study utilizes literature review, user research, factor analysis, and linear regression to establish a user experience evaluation scale and behavior model. The user experience evaluation scale identifies positive elements such as convenience, price value, visual information acquisition, emotional value, and social interaction. The negative elements include technical limitations, personalized service deficiencies, and uncertainty. In the behavior model, all elements influence user attitudes. Notably, only the negative elements directly affect users’ willingness to use the service, except social interaction among the positive elements, which positively impacts usage intention. This study also reveals that “Generation Z” consumers have novel requirements for social interaction. This research effectively addresses existing theoretical gaps and provides a foundational theory for the development of related services and technologies.

Trust's Significance in Human-AI Communication and Decision-Making

With artificial intelligence (AI) continuing to pervade many aspects of society, it is critical to comprehend the dynamics of trust in AI decision-making and human-AI interaction. This study explores the many facets of trust and looks at how important it is in influencing user attitudes, actions, and the general effectiveness of AI systems. In order to understand the complex interactions between intelligent machines and people, the research incorporates multidisciplinary viewpoints from the fields of psychology, human-computer interaction, and ethics. The first area of inquiry is what influences the creation of first faith in AI. [1]We investigate how consumers' desire to trust AI-driven technology is influenced by system transparency, explain ability, and user experience through empirical study. The creation of design concepts intended to build a foundation of trust in AI systems is informed by insights gained at this stage. The second aspect of the study focuses on how trust changes over time in extended encounters between humans and artificial intelligence. We study the dynamics of trust-building and erosion by monitoring user experiences and system performance. This helps to clarify the critical points and factors that affect the trust's trajectory. This long-term viewpoint aids in the creation of adaptable artificial intelligence systems that can adapt to changing user demands and address issues with trust. The third line of investigation concerns the function of trust in AI-influenced decision-making processes. We evaluate the extent to which users depend on AI-generated insights and the influence of trust on decision outcomes using experimental scenarios and real-world case studies. This stage clarifies the fine balance needed to maximise the collaboration between AI and humans and emphasises the significance of matching AI suggestions with user values. The research concludes with an examination of the consequences of trust in AI for wider societal contexts, with a focus on ethical issues. We look at accountability frameworks, the potential fallout from blind trust, and the moral obligations of AI engineers in creating reliable systems. In order to foster a symbiotic relationship between humans and intelligent systems in a world increasingly driven by AI, this thorough investigation of the role of trust in human-AI interaction and decision-making ultimately aims to provide actionable insights for the design, implementation, and governance of AI technologies.

The Influence of Technology Acceptance, Social Factors, Risk Perceptions on Attitudes and Intentions to Purchase (Study on Shopee Mobile Application Users)

Internet transformation plays an important role in influencing consumer behavior and habits in society. One of the changes that has occurred in society can be seen in the way people shop online using the Shopee mobile application. This phenomenon is supported by the emergence of many e-commerce mobile applications that can make it easier for people to shop online. These factors ultimately increase and promote people's online shopping habits using mobile applications. This research aims to determine the factors that influence user attitudes and purchase intentions among Indonesian people in using the Shopee mobile application through the TAM theoretical model which is expanded with social factors and risk perception to investigate the determining factors that influence users' attitudes towards using the Shopee mobile application. Data collection was carried out using an online survey method with purposive sampling technique. The research sample consisted of 322 respondents with the characteristics of knowing and understanding the Shopee cellular application and being over 17 years old. Data analysis used SEM-AMOS with the help of AMOS 24 software. The research results show that of the nine hypotheses proposed, seven hypotheses were accepted and two hypotheses were rejected. Perceived ease and perceived usefulness are proven to have a positive and significant influence on attitudes towards using the Shopee mobile application and directly mediate the intention to purchase. Environmental influence and peer influence have a positive and significant effect on attitudes which ultimately influence intention to purchase. Risk perception is proven to have an insignificant influence on attitudes towards using the Shopee mobile application and intention to purchase

Examining the Impact of @waste4change's Instagram Campaign on User Attitudes towards Waste Management

Waste management is a social problem that needs to be addressed to foster a positive attitude toward the need to develop waste management. Campaigns through social media need to be evaluated for their benefits. Only a few studies have evaluated the impact of exposure and presentation of information conveyed via social media. This study aims to see the effect of exposure and presentation of information from @waste4change delivered through Instagram on user attitudes. The population is social media users, and a sample of 100 users is taken. The research used a survey with purposive sampling techniques, and the questionnaires were distributed through social media. The results show that exposure and information presentation significantly influence user attitudes. In addition, the presentation of information in this study showed the role of valence and weight of information. The findings confirm the role of Instagram platform content in providing education.

ANALISIS KEFAHAMAN IBU BAPA TERHADAP FAKTOR PERUBAHAN SIKAP BELIA BERDASARKAN VIDEO PENYALAHGUNAAN DADAH DI YOUTUBE

This study has given a real picture of the issue of drug abuse that occurs in this country which makes parents aware of their role in forming a drug-free family. The proliferation of information on social media that can be easily accessed also has an impact on the issue. However, social media such as YouTube is no exception in efforts to overcome the issue of drug abuse through the display of various videos on drug abuse. Therefore, this study aims to explore parents' understanding of the attitude change factors found in drug abuse videos on YouTube. This study uses a qualitative method. Semi-structured interviews were conducted on parents to achieve the objectives of the study. The research data was analyzed using thematic analysis with the help of the QSR NVivo application. The results of the study showed parents' understanding of the factors that influence the change in youth attitudes based on the display of drug abuse videos consisting of YouTube as a source of motivation, support from family members, and YouTube can influence user attitudes.

Exploring short video apps users' travel behavior intention: Empirical analysis based on SVA-TAM model.

Social media had made significant effect on the tourism and hospitality industry. Among diverse types of social media platforms, short video apps (SVA) represented by TikTok or Douyin had brought great changes to the tourism industry. As new mobile technology platform, short video apps had changed the way for user to obtain travel information, make traveling plans and share the travel experience. Considering the new technology of SVA and the influence in tourism, this research aims to explore the SVA users’ behavior intentions and the adopting of SVA for making travel decision. Therefore, the new SVA-TAM model is proposed based on the technology acceptance model (TAM), including two new variables: electronic word of mouth (eWOM) and electronic trust (eTrust). An online survey was conducted to short video apps users. PLS-SEM was implemented for data and structural equations analysis of the final obtained 302 samples. In terms of the relationship between variables, this study found that user perceptions of SVA on usefulness and ease of use are powerful predictors of attitudes toward using SVA for travel planning, which maintains consistency with the outcome of previous TAM studies. Additionally, eWOM and eTrust positively influence user attitudes toward using SVA for travel planning even for destination decisions. Therefore, the short video apps should be taken into consideration for tourism marketing and destination branding owes to the effect on the potential users’ behavior intentions.

That’s Not What We Expected: Examining Technology Expectations and Malfunctions on Frustration

Technology malfunctions and expectations for technology performance influence user attitudes and behaviors regarding that technology. An empirical study explored how these factors interact to influence attitudes and performance on a task when exposed to a malfunction and certain expectations for technology performance. Unlike previous research, an interaction was found between malfunction and expectation such that individuals exposed to a malfunction with high expectations were more likely to complain about the incident to the responsible company. This is especially informative for industry customer service as it informs why users complain and what product features should be addressed to remedy the issues.

A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making?

This research investigates the extent to which Mobile Augmented Reality (MAR) apps can influence user attitudes and shopping behavior. It empirically explores user experience and examines its effects on consumer perceptions of hedonic and utilitarian gratification, informativeness, and ease of use. Findings indicate perceptions of gratification and informativeness significantly associate with MAR app use. When consumers perceived the MAR app as enjoyable, useful, and contributing to the information acquisition, they were inclined toward a more positive affective response. Practically it provides insights into MAR use, which benefits both consumers and MAR app designers, and influences company marketing strategy.

The blockchain and how it can influence conceptions of the self

Blockchain technologies are rapidly being developed and tested in a broad range of business and governmental settings. Their unique cryptographic characteristics and configurations enable users of these systems to transact directly and anonymously. The data these users generate are timestamped and immutable. In open blockhains, individual users take responsibility for managing and protecting their own data and for ensuring the reliability of the parties with whom they transact. The socio-material characteristics of these systems will influence user attitudes and behaviors in ways that are profound and difficult to predict. Outcomes have not yet been researched, and the academy has adopted a stance of technological determinism despite the fact that implicit assumptions about outcomes are literally coded in as these systems are developed. We envision potential impacts that may result from self-sovereign ownership of data including: commoditization of the self and relationships with others, the need to police personal data and reputation, and new perceptions of time and history that result from transaction sequentialization and permanence. Further research on the societal impacts of blockchain technologies is needed as these systems become ubiquitous.

Cross-Level Moderation of Team Cohesion in Individuals’ Utilitarian and Hedonic Information Processing: Evidence in the Context of Team-Based Gamified Training

Today firms use teams extensively to accomplish organizational objectives. In addition, gamification has recently received much attention as a means of persuading employees and customers to engage in desired behaviors. Despite the importance of teams and the growing interest in gamification as a persuasion tool, past researchers have paid little attention to team-based gamification from a multilevel perspective. Based on motivational consistency theories, we propose that at the team level, team performance has a positive effect on team cohesion. Drawing upon the elaboration likelihood model (ELM), we further propose two cross-level effects in the context of team-based gamified training: first, that team cohesion will positively moderate the relationship between utilitarian perceptions (i.e., perceived quality of learning) and attitude; and second, that team cohesion will negatively moderate the relationship between hedonic perceptions (i.e., perceived enjoyment of learning) and attitude. We tested our research model using an enterprise resource planning (ERP) simulation game involving 232 participants in 78 teams. The results of Ordinary Least Squares and Hierarchical Linear Modeling analysis support our hypotheses. This study makes three substantive contributions to the team literature and to the ELM in the context of team-based gamified training. First, it theorizes and empirically tests the effect of team performance on team cohesion at the team level. Second, it extends the ELM by examining the cross-level moderation of team cohesion in human information processing. Third, it demonstrates that the utilitarian and hedonic aspects of information technology do not influence user attitudes equally.

The Influence of the Social, Cognitive, and Instructional Dimensions on Technology Acceptance Decisions among College-Level Students

Technology acceptance models are primarily focused on the cognitive dimension of user beliefs. However, researchers have identified a range of situational and contextual factors that influence user attitudes and behavioral intention towards a given technology. We advance a situated model of e-learning acceptance among college students combining factors from the community of inquiry (COI) framework and the technology acceptance model (TAM), specifying core relationships within, and theoretically informed path relationships between the two frameworks. Using a sample of 121 respondents, we test a structural model using generalized structured component analysis. Collectively the situated model helped explain 63.7% variance in Behavioral Intention and 25% of the variance in Use suggesting that our model has strong explanatory power. Policymakers can leverage this information to boost acceptance of e-learning and platforms among their academic communities by promoting e-learning environments with strong Teacher, Social, and Cognitive Presence.

A quantitative textual analysis of three types of threat communication and subsequent maladaptive responses

Much research attention has been given to the behavioral outcomes of warning computer users about potential threats to their information security, primarily through the use of fear appeal messaging. This study explores not only the use of other types of external threat information (including vivid messaging and observational learning) but also the textual responses of computer users receiving the information, opening up the “black box” to their threat appraisal processes. Results indicate that maladaptive perceptions can appear throughout the appraisal process and that the type of external threat information can differently influence user attitudes.

Automation Transparency and Personalized Decision Support: Air Traffic Controller Interaction with a Resolution Advisory System

In order to satisfy future air travel demands, there is a need for a more automated and modernized air traffic control. Automation is expected to advance from its current principal utilization as software tools to become an autonomous agent cooperating with the air traffic controller. To facilitate interchangeable, functional and sustainable human-automation collaboration, there is a need to develop better interaction and visualization techniques. Ultimately, automation might be rejected because of the system’s opacity (what is it doing and why?) or mismatch in underlying strategy (I would solve this problem differently). Human-machine cooperation is believed to benefit from automation sensitive and adaptive to individual preferences in problem solving. Furthermore, increased transparency afforded by a decision-aid in regards to its reasoning and problem solving, can positively influence user attitudes including acceptance and trust. In a recent study we hypothesized that both these factors (strategic conformance and interface representation transparency), would influence task performance and willingness to use an automated decision aid in a conflict detection and resolution task. Nine controller trainees participated in two real-time simulations in which they were tasked with directing traffic and maintaining separation in short en-route traffic scenarios. Results showed that controllers perceived and used the two interface representations differently. Even though controllers accepted conformal solutions more often than nonconformal, with a degree similar to what has been observed in previous studies, the effect of strategic conformance was not significant. These findings are discussed in relation to the challenges in diffusion and acceptance of decision-aiding automation.

How Do You “Like” My Style? Examining How Communication Style Influences Facebook Behaviors

Given the increasing popularity of social-networking sites, it is extremely important for brand managers involved with Internet-based communication platforms to evaluate whether their communication strategies are positively influencing user attitudes and behaviors toward their brands. This article aims to address this need by investigating how sports fans respond to various marketing communication styles via Facebook posts. Using a case-manipulation design, this study empirically examines the relation among communication styles and individual willingness to engage in 4 common Facebook behaviors (i.e., “comment,” “like,” “share,” and “RSVP”). The results indicate that a personal communication style enhanced individual willingness to “comment” on Facebook posts, while the colorful style enhanced individual willingness to “like” and “RSVP” to Facebook events.

Learning how to write effectively for academic journals: A case study investigating the design and development of a genre-based writing tutorial system

Genre-based writing instruction (GBWI) has been used for English journal paper writing both in classroom teaching and in the development of materials utilizing move analysis and corpus-based analysis. Some writing systems and tutorials have also been developed to improve the writing of non-native English speakers (NNES), as well as to assist academics and researchers for their publications. However, most of these systems had been developed for certain aspects of academic journal writing, such as organizing references, preventing plagiarism, or finding appropriate collocations. Accordingly, EJP-Write, a Chinese-interfaced writing system for English academic journal writing, was developed based on GBWI to teach and assist journal writing in a user-friendly environment.The present study aimed to investigate the perceived usefulness (content effectiveness) and perceived usability (system functionality) of EJP-Write, and identify other factors that might influence user attitudes and continued usage intention. Data was collected via questionnaire (N = 35) and structural equation modeling (SEM) was conducted for fitness estimation on the modified Technology Acceptance Model (TAM). Semi-structured interviews were also conducted to collect additional information for usefulness and usability evaluation (N = 14). Regarding perceived usefulness, the results show that participants felt the EJP-Write content was useful and effective in teaching genre and move structure because of the aid of various forms of support and examples such as phrase and paragraph templates. Additionally, the learning materials for verb tenses and citation formats were informative and practical for the participants to avoid grammatical and technical errors. However, the move structure provided was limited to the discipline of e-learning and education; thus, move analysis for different fields was suggested. Regarding perceived usability, the citation-related features in EJP-Write were particularly well-regarded. Participants also provided suggestions to improve online editing and outline developing features in the system. Factors found to influence user attitudes, and thus the intention of continued use, were usefulness and usability, while writing anxiety and personalization had less impact.Findings of the quantitative and qualitative data analysis in the study suggest that EJP-Write can play multiple roles inside or outside of the classroom, both as a platform integrating most features essential for journal paper writing, and as a teacher providing guidance and learning materials necessary for this specific genre. It is anticipated that this study will contribute to the knowledge base about both content and interface design for journal paper writing in the discipline of e-learning and education. For program designers of web-based writing tutorials, the involvement of users in the development of move structure could both strengthen various GBWI approaches and solve issues related to disciplinary differences.

The influence of national culture on the attitude towards mobile recommender systems

This study aimed to identify factors that influence user attitudes towards mobile recommender systems and to examine how these factors interact with cultural values to affect attitudes towards this technology. Based on the theory of reasoned action, belief factors for mobile recommender systems are identified in three dimensions: functional, contextual, and social. Hypotheses explaining different impacts of cultural values on the factors affecting attitudes were also proposed. The research model was tested based on data collected in China, South Korea, and the United Kingdom. Findings indicate that functional and social factors have significant impacts on user attitudes towards mobile recommender systems. The relationships between belief factors and attitudes are moderated by two cultural values: collectivism and uncertainty avoidance. The theoretical and practical implications of applying theory of reasoned action and innovation diffusion theory to explain the adoption of new technologies in societies with different cultures are also discussed. • We identify factors and cultural values that impact attitudes towards mobile recommender systems. • The cultural characteristics of users involve collectivism and uncertainty avoidance. • The research model is tested based on the data collected in China, South Korea, and the UK. • Functional and social factors have significant impacts on user attitudes towards MRSs. • The relationships between the factors and user attitudes differ according to the cultural values.

Influencing User Attitudes by Managing Online Brand Communication in E-Shops

Marketing ZFP is a platform for the academic dialog between marketing science and marketing practice. It offers critical depictions of the newest developments in the central areas of marketing science and marketing practice. Thereby, Marketing ZFP dedicates itself particularly to the transfer of methodological knowledge into practice.

The more secure the better? A study of information security readiness

PurposeThis paper seeks to investigate which factors influence user attitudes toward different levels of security measures for protecting data of differing importance. The paper also examines user characteristics including IT proficiency and risk propensity, which give rise to individual differences in such attitudes.Design/methodology/approachTo capture user attitudes toward a security measure, a construct called “information security readiness” (ISR) and its corresponding measurement items were developed. Observations were collected from a laboratory experiment based on a 2×3 factorial design, with data criticality and security level as the treatment variables. The participants were undergraduate students of a major American university. The moderating effect of data criticality on the relationship between security level and ISR was tested with multi‐group structural equation modeling. In addition to the treatment variables, IT proficiency and risk propensity were included as covariates in the analysis.FindingsThe results revealed a nonlinear relationship between security level and ISR. For data of high criticality, enhancing security level had a positive impact on ISR, but only up to the point perceived as appropriate by the participants. For data of low criticality, the enhancement of security level was perceived as unnecessary. In addition, IT proficiency was found to be a significant covariate, especially when data criticality was high.Practical implicationsIn practice, the specification of a security measure requires a trade‐off between the utility of the data protected and the usability of the security method. The measure of ISR provides a means to locate the equilibrium by examining user attitudes across different security levels in relation to a particular level of data criticality. The significance of IT proficiency demonstrates the importance of user training.Originality/valueThis study introduces the ISR construct to capture evaluation, power, and activity dimensions underlying an individual's cognitive beliefs, affective responses, and behavioral inclinations toward the adoption of security measures. The results provide interesting insights into the role of interaction between security level and data criticality in influencing ISR.