Influence Of Perceived Usefulness Research Articles

Analysis of the Influence of Perceived Enjoyment and Perceived Usefulness on Impulse Buying in Live Streaming on Online Marketplaces

Impulsive buying behavior in the digital age is rapidly evolving with the emergence of live streaming technology on e-commerce platforms. This technology enables direct real-time interaction between sellers and buyers, often triggering spontaneous purchases. Live streaming features offer an engaging shopping experience by allowing consumers to view product demonstrations and interact directly, supporting impulsive buying behavior. This study analyzes the roles of perceived enjoyment and perceived usefulness influence variables between visual appeal and social presence in influencing impulsive purchases during live streaming sessions on Shopee. Using a quantitative method, data was collected from 241 respondents through a questionnaire and analyzed using Structural Equation Modeling (SEM). The results indicate that live streaming strengthens social interaction and visual appeal, enhancing perceived enjoyment and perceived usefulness, which in turn increases the tendency for impulsive buying. This research provides insights for marketers to design effective e-commerce strategies to capitalize on the phenomenon of impulsive buying through interactive and visually appealing live streaming technology, optimizing user experience and sales conversions.

Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health Advice

Remote Patient Monitoring (RPM) devices transmit patients' medical indicators (e.g., blood pressure) from the patient's home testing equipment to their healthcare providers, in order to monitor chronic conditions such as hypertension. AI systems have the potential to enhance access to timely medical advice based on the data that RPM devices produce. In this paper, we report on three studies investigating how the severity of users' medical condition (normal vs. high blood pressure), security risk (low vs. modest vs. high risk), and medical advice source (human doctor vs. AI) influence user perceptions of advisor trustworthiness and willingness to disclose RPM-acquired information. We found that trust mediated the relationship between the advice source and users' willingness to disclose health information: users trust doctors more than AI and are more willing to disclose their RPM-acquired health information to a more trusted advice source. However, we unexpectedly discovered that conditional on trust, users disclose RPM-acquired information more readily to AI than to doctors. We observed that the advice source did not influence perceptions of security and privacy risks. We conclude by discussing how our findings can support the design of RPM applications.

Perceptual Attributes Identification and Importance–Performance Alignment Assessment of Urban Underground Complex: A Case Study in Chengdu Tianfu Square

Background and objectives: The urban underground complex integrates comprehensive architecture and subterranean space, presenting physical and psychological complexities. To mitigate the negative experiences associated with this complexity, we need to explore, in depth, how the built environmental elements of underground complexes affect user perception to design a comfortable, healthy, and biophilic underground space. Methods: We selected Tianfu Square, a typical underground complex in Chengdu, China, as the empirical case. We identified 26 key environmental indicators affecting user perception and designed Kano and satisfaction questionnaires based on these indicators. A total of 476 questionnaires were distributed to collect data on users’ attitudes towards changes in element quality and their satisfaction levels. By integrating the Kano model and IPA method, we defined the perceptual attributes of elements based on their impact on user experiences and assessed the alignment between element attributes and satisfaction. Results: We categorized the elements into five perceptual types: attractive, one-dimensional, indifferent, must-be, and reverse attributes, and assigned corresponding importance levels. We then compared the importance and performance scores of these elements, evaluated their satisfaction alignment, identified elements needing optimization, and proposed improvement strategies. Implications: This research provides valuable guidance for designers on how various built environment elements in underground spaces influence user perceptions, with practical implications for urban underground complex planning and design.

How to Talk to AI: The Role of Preset Prompt Language Styles in Shaping Conversational Experience

With the proliferation of AI conversational agents, the design of preset prompts—text suggestions that guide user interactions—has become crucial for enhancing user experience. This study investigates the impact of different preset prompt language styles (social-oriented vs. task-oriented) on user satisfaction. Utilizing two empirical studies, we examined how these language styles influence user perceptions of an AI agent’s warmth and competence, and how these perceptions mediate overall satisfaction. In the first study, participants interacted with an AI agent using either social-oriented or task-oriented prompts under conditions of service success or failure. The results indicated that social-oriented prompts significantly enhance user satisfaction by increasing perceptions of warmth, but not competence. However, this positive effect diminishes in the event of service failure. In the second study, we explored the moderating effect of task urgency. Findings revealed that the positive impact of social-oriented prompts on satisfaction is significant in low-urgency tasks but not in high-urgency scenarios. These insights underscore the importance of prompt language style in AI interactions and provide practical implications for designing more effective AI communication strategies, especially in customer service contexts.

Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis.

The COVID-19 pandemic contributed to an increase in teleconsultation adoption in the Polish primary health care system. It is expected that in the long run, teleconsultations will successfully replace a significant part of face-to-face visits. Therefore, a significant challenge facing primary health care facilities (PHCs) is the acceptance of teleconsultations by their users, especially physicians. This study aimed to explore physicians' acceptance of teleconsultations during the COVID-19 pandemic in Poland. A representative survey was conducted among 361 physicians of PHCs across Poland in 2021. For the purposes of the study, we developed a modified Technology Acceptance Model (TAM) model. Based on the modified TAM, we analyzed the impact of perceived usefulness (PU), perceived ease of use (PEU), and intention to use teleconsultation (INT) on physicians' satisfaction (SAT) and quality of work (Q). The psychometric properties of the research instrument were examined using exploratory factor analysis. Finally, structural equation modeling was used for data analysis. The results indicated a generally high level of PU (mean 3.85-4.36, SD 0.87-1.18), PEU (mean 3.81-4.60, SD 0.60-1.42), INT (mean 3.87-4.22, SD 0.89-1.12), and SAT (mean 3.55-4.13, SD 0.88-1.16); the lowest rated dimension in TAM was Q (mean 3.28-3.73, SD 1.06-1.26). The most important independent variable was PU. The influence of PU on INT (estimate=0.63, critical ratio [CR]=15.84, P<.001) and of PU on SAT (estimate=0.44, CR= 9.53, P<.001) was strong. INT was also a key factor influencing SAT (estimate=0.4, CR=8.57, P<.001). A weaker relationship was noted in the effect of PEU on INT (estimate=0.17, CR=4.31, P<.001). In turn, Q was positively influenced by INT (estimate=0.179, CR=3.64, P<.001), PU (estimate=0.246, CR=4.79, P<.001), PEU (estimate=0.18, CR=4.93, P<.001), and SAT (estimate=0.357, CR=6.97, P<.001). All paths between the constructs (PU, PEU, INT, SAT, and Q) were statistically significant, which highlights the multifaceted nature of the adoption of teleconsultations among physicians. Our findings provide strong empirical support for the hypothesized relationships in TAM. The findings suggest that the PU and PEU of teleconsultation have a significant impact on the intention of physicians to adopt teleconsultation. This results in an improvement in the satisfaction of Polish physicians with the use of teleconsultation and an increase in Q. The study contributes to both theory and practice by identifying important prognostic factors affecting physicians' acceptance of teleconsultation systems.

Exploring people's perceptions of LLM-generated advice

When searching and browsing the web, more and more of the information we encounter is generated or mediated through large language models (LLMs). This can be looking for a recipe, getting help on an essay, or looking for relationship advice. Yet, there is limited understanding of how individuals perceive advice provided by these LLMs. In this paper, we explore people's perception of LLM-generated advice, and what role diverse user characteristics (i.e., personality and technology readiness) play in shaping their perception. Further, as LLM-generated advice can be difficult to distinguish from human advice, we assess the perceived creepiness of such advice. To investigate this, we run an exploratory study (N = 91), where participants rate advice in different styles (generated by GPT-3.5 Turbo). Notably, our findings suggest that individuals who identify as more agreeable tend to like the advice more and find it more useful. Further, individuals with higher technological insecurity are more likely to follow and find the advice more useful, and deem it more likely that a friend could have given the advice. Lastly, we see that advice given in a ‘skeptical’ style was rated most unpredictable, and advice given in a ‘whimsical’ style was rated least malicious—indicating that LLM advice styles influence user perceptions. Our results also provide an overview of people's considerations on likelihood, receptiveness, and what advice they are likely to seek from these digital assistants. Based on our results, we provide design takeaways for LLM-generated advice and outline future research directions to further inform the design of LLM-generated advice for support applications targeting people with diverse expectations and needs.

A Situated Inspection of Autonomous Vehicle Acceptance – A Population Study in Virtual Reality

The successful integration of Autonomous Vehicles (AVs) into daily life is influenced by various individual and contextual factors. This study examines key factors affecting acceptance and trust in AVs by assessing how interactive experiences influence user perceptions and adoption. Utilizing a Virtual Reality (VR) environment to simulate real-world driving conditions, the research investigates the impact of different levels of vehicle interaction—manual control, semi-autonomous, fully autonomous, and taxi-riding modes—on user and passenger trust, anxiety, perceived ease of use, and overall acceptance. A dual-method approach was employed, combining objective data collection through eye-tracking, which measures engagement and vigilance, with subjective user feedback gathered via the Autonomous Vehicle Acceptance Model (AVAM) questionnaire. The findings reveal a complex relationship between user control and trust in AV systems. While semi-autonomous conditions that incorporate user participation in decision-making enhance trust and intention to use, fully autonomous conditions influence trust but not intention to use significantly. However, semi- autonomous conditions also elicited higher anxiety levels compared to fully autonomous modes, suggesting a trade-off between interaction and comfort. Engagement levels, as indicated by visual metrics such as gaze patterns, were found to be critical for understanding user acceptance. These results highlight the importance of considering both subjective perceptions and objective behaviors in developing AV interfaces. The study contributes significant insights into the cognitive underpinnings of AV acceptance and underscores the need for strategies that both enhance user trust and minimize anxiety by finding an optimal balance between automation and user control. Further research into this balance is recommended to better accommodate the evolving nature of user trust and the cognitive complexities associated with semi-autonomous systems.

E-Commerce Adoption: The Moderating Role of Commitment between Purchase Intention and Customer Purchase Behavior

This study aims to explore how factors such as attitude, self-efficacy, subject norms, and perceived usefulness influence consumer purchase intention in the context of online shopping. Additionally, it examines the moderating role of commitment in shaping these relationships. Understanding these dynamics is crucial for businesses looking to enhance their online retail strategies and customer engagement. A quantitative approach was employed, using quantitative surveys and data was collected from 251 internet users. The study found that attitude, self-efficacy, subject norms, and perceived usefulness significantly influence online purchase intention. A positive attitude towards online shopping, higher self-efficacy in using online platforms, favorable subject norms, and perceived usefulness of online shopping platforms were all linked to increased purchase intention. Notably, commitment was observed to have a moderating effect, strengthening the relationship between these factors and purchase intention. High commitment levels enhanced the impact of positive attitudes, self-efficacy, and perceived usefulness on the likelihood of making online purchases. This research contributes to the existing literature by integrating various psychological and social factors under a unified framework to understand online consumer behavior. It highlights the importance of commitment as a moderating factor, offering new insights for online retailers. The findings provide valuable implications for developing targeted marketing strategies and improving online customer experiences, ultimately boosting online sales and customer loyalty.

Intention to Use Islamic Fintech among MSMEs: Knowledge of Sharia Prohibition Approach

The purpose of this study is to investigate the influential factors on behavioral intentions toward Islamic fintech use among Micro, Small and Medium Enterprises in Indonesia. The author adds a new research model about intention to use in the form of Technology Acceptance Model, Knowledge of Sharia Prohibition, Word of Mouth and Trust which has not been used in other studies. This research utilized a quantitative approach, an online survey was distributed to 350 MSMEs owners. The data collected from the participants were subjected to Structural Equations Modeling-Partial Least Squares (SEM-PLS) analysis, enabling a thorough examination of the variables under investigation. The results show that the variable of word of mouth and perceived ease of use have positive and significant impact on perceived usefulness. In addition, the variable of trust and perceived usefulness influence attitude significantly. This study also indicates that attitude affects intention to use Islamic fintech significantly. Then, the Attitude mediates the relationship between perceived usefulness and trust and Intention to use Islamic fintech. The findings of this study will be useful for policy makers and managers of Islamic fintech companies because it can help them find out the factors that drive intention to use Islamic fintech services.

The Impact of Live Streaming On Purchase Intention In Social Commerce In Indonesia

Live commerce is an emerging trend in the world of e-commerce. This research examines it from the consumer's point of view using the S-O-R theory, where live streaming is a stimuli that can influence consumers in shopping on live streaming and feel as if shopping in the real world. This study employed a quantitative methodology to collect responses from 401 respondents via an online questionnaire. Data were examined using Partial Least Square – Structural Equation Modeling analysis (PLS-SEM) and SmartPLS software to examine the proposed hypothesis. The results show Psychological Distance and Perceived Usefulness influence Purchase Intention positively.

Whistleblowing System: An Analysis of Implementation Readiness at Private Universities in Palembang City

This research investigates the implementation of a whistleblowing system utilizing the Technology Acceptance Model (TAM). TAM incorporates two main variables—user perceptions of benefits (perceived usefulness) and user perceptions of ease of use (perceived ease of use)—in the context of information system implementation. The study explores dimensions of information technology, including Perceived Ease of Use, Perceived Usefulness, and Behavioral Intention to Use, applying a quantitative approach. The study's population comprises students from various majors across different private universities, with non-probability sampling employed. Structural Equation Modeling-Partial Least Square (SEM-PLS) analysis, facilitated by Smart PLS software, serves as the methodological framework. Results reveal the positive and significant impact of Perceived Seriousness of Wrongdoing, Authentic Leadership, and Behavioral Attitude on Behavioral Intention to Whistleblow. Moreover, Perceived Seriousness of Wrongdoing, Social Norm, Perceived Ease of Use, and Perceived Usefulness influence Behavioral Attitude. Notably, Perceived Usefulness, Perceived Ease of Use, and Authentic Leadership did not exhibit a significant impact on Behavioral Attitude. These findings contribute to the understanding of factors influencing whistleblowing behavior, providing valuable insights for organizational and academic stakeholders.

Diseño de Interfaces de Usuario Centrado en el Usuario: Mejores Prácticas y Tendencias

The objective of this research was to understand best practices and trends in user-centered interface design. Through a qualitative methodology, different design strategies were examined and their impacts on user experience were evaluated. This approach allowed us to delve deeper into the intrinsic aspects and specific details that influence user perception and satisfaction. As a result, several emerging trends were identified, including the importance of intuitive design, adaptability to different devices,and the incorporation of interactive elements that enhance user immersion. It was found that interfaces that put the user at the center of the design process not only improve overall functionality, but also enhance user retention and loyalty.

Users' Perception of NFC Technology in Digital Payment Transactions in Indonesia

Near Field Communication (NFC) technology is growing and starting to be used on mobile devices such as smartphones. However, there are still differences in the factors of user perception and acceptance of the use of the NFC system in previous studies. Therefore, this study aims to analyze the influence of factors such as Actual System Use, Attitudes Toward Use, Behavioral Intentions, Perceived Ease of Use, Perceived Safety, Perceived Benefits, and Subjective Norms on user acceptance of the NFC system on smartphone users. in Indonesia. In this study, a quantitative approach was used with the online survey method which was conducted on 150 respondents who use smartphones in Indonesia. Respondents taken are smartphone users who have used NFC technology. The collected data were analyzed using the Structural Equation Modeling (SEM) method. The results of the study show that the user's perception of the ease of use and the benefits and safety of using the NFC system has a significant influence on the user's acceptance of using it. However, the subject norm for NFC technology does not have a significant effect on user acceptance. The implication of this research is the importance of paying attention to the factors that influence user perceptions in developing and promoting the use of the NFC system among smartphone users in Indonesia.

Exploring the usability, user experience and usefulness of a supportive website for people with dementia and carers

Purpose This study explores the usability, usefulness and user experience of the Forward with Dementia website for people with dementia and family carers, and identifies strategies to improve web design for this population. Methods The website was iteratively user-tested by 12 participants (five people with dementia, seven carers) using the Zoom platform. Data collection involved observations, semi-structured interviews and questionnaires. Integrative mixed-method data analysis was used, informed by inductive thematic qualitative analysis. Results Users of Version 1 of the website experienced web functionality, navigation and legibility issues. Strategies for desirable web design were identified as simplifying functions, streamlining navigation and decluttering page layouts. Implementation of strategies produced improvements in usability, user experience and usefulness in Version 2, with mean System Usability Scale scores improving from 15 to 84, and mean task completion improving from 55% to 89%. The user journey for people with dementia and carers overlapped, but each group had their own unique needs in the context of web design. Conclusions The interplay between a website’s content, functionality, navigation and legibility can profoundly influence user perceptions of a website. Dementia-related websites play an important role in informing audiences of management strategies, service availability and planning for the progression of dementia. Findings of this study may assist in guiding future web development targeting this population.

Behavioral Acceptance of Electronic Government in Jordan

Due to the development of communication and information technology, all organizations employ electronic communication to reach their customers and users, especially in developed nations where governments use e-government to support their residents with needed services. In Jordan, the use of e-government services is not as well adopted as in developed nations, because some Jordanians do not trust e-government services due to many reasons, which are discussed in this research; therefore, this study's goal is to determine dimensions that affect people's intentions to use e-government and its effect on e-government actual use in Jordan. The study looks into the factors that impact individuals' intentions and actual e-government usage, including attitudes toward behavior, credibility, and subjective norms that are derived from perceived usefulness, ease of use, awareness, trust in the government, incentives, trust in service delivery, transactional security, and social influence. A total of 352 online questionnaires were gathered, the majority of which were completed by college students who are between the ages of 18 and 29. The findings indicate that perceived ease of use, incentives, and perceived usefulness influence attitudes toward behavior, while awareness does not affect attitudes toward behavior. Trust in service delivery, transactional security, and trust in government affect credibility. Social influences affect subjective norms. Attitudes toward behavior and subjective norms affect intention to use, using intention affects actual usage, while credibility does not affect using intention. Finally, the results are helpful to Jordanian organizations including the Jordanian government. Recommendations are provided in the last section.

Je kompetenter desto kritischer?

In the context of misinformation and inaccuracies in reporting, the knowledge and understanding of news production processes and conditions are crucial for news users’ perceptions of news content. However, research on the users’ perception of errors in news and the influence of corrections and individual factors is scarce. In two online experiments, we investigated the influence of corrections, newspaper type, and news media literacy on users’ perceptions of error severity and frequency. Corrections decreased the perceived severity of errors in both studies. News media literacy increased the perceived severity of errors in political news (Study 1) but not in sports news (Study 2). Further, news-literate users perceived errors in political news as more frequent. Newspaper type did not influence user perceptions. These results support the need for transparency and the importance of user characteristics – especially news media literacy – when studying perceptions of journalistic products.

Using Agent Features to Influence User Trust, Decision Making and Task Outcome during Human-Agent Collaboration

Optimal performance of collaborative tasks requires consideration of the interactions between intelligent agents and their human counterparts. The functionality and success of these agents lie in their ability to maintain user trust; with too much or too little trust leading to over-reliance and under-utilisation, respectively. This problem highlights the need for an appropriate trust calibration methodology with an ability to vary user trust and decision making in-task. An online experiment was run to investigate whether stimulus difficulty and the implementation of agent features by a collaborative recommender system interact to influence user perception, trust and decision making. Agent features are changes to the Human-Agent interface and interaction style, and include presentation of a disclaimer message, a request for more information from the user and no additional feature. Signal detection theory is utilised to interpret decision making, with this applied to assess decision making on the task, as well as with the collaborative agent. The results demonstrate that decision change occurs more for hard stimuli, with participants choosing to change their initial decision across all features to follow the agent recommendation. Furthermore, agent features can be utilised to mediate user decision making and trust in-task, though the direction and extent of this influence is dependent on the implemented feature and difficulty of the task. The results emphasise the complexity of user trust in Human-Agent collaboration, highlighting the importance of considering task context in the wider perspective of trust calibration.

Investigating individual privacy within CBDC: A privacy calculus perspective

Central Bank Digital Currencies (CBDC) are a digital innovation based upon distributed ledger and smart contract technology. In this paper we examine how potential users of CBDC technology willingly disclose their personal information. The researchers conducted an online quantitative survey which investigates the privacy perceptions of consumers. Using the privacy calculus theory lens, this study looks at the potential benefits of CBDC and how these influence user perceptions towards privacy disclosure. While this research suggests that participants in the study had negative perceptions in relation to the disclosure of personal information, many were willing to offset these concerns if there are significant benefits in the usage of CBDC. Factors such as ease of use, convenience, availability, and credibility were viewed as key benefits in this scenario. Thus, future banking strategies and marketing approaches need to consider these components to foster CBDC adoption.

Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots

Dialogue-based conversational recommender systems (DCRSs) have become a new trend in recommender systems (RSs), allowing users to communicate with the system in natural language to facilitate feedback provision and product exploration. However, little work has been done to empirically study user perception of and interaction with such systems and, more importantly, how to best support users in providing feedback on the recommendation they receive. In this article, we aim to develop effective <i>critiquing</i> mechanisms for DCRS to improve its feedback elicitation process (i.e., allowing users to <i>critique</i> the current recommendation during the dialogue). Specifically, we have implemented three prototype systems featuring three different critiquing techniques, respectively, i.e., <i>user-initiated critiquing, progressive system-suggested critiquing</i>, and <i>cascading system-suggested critiquing</i>. We have then conducted two task-oriented user studies involving 292 subjects to evaluate the three prototypes. In particular, we consider two typical types of user tasks in RSs: basic recommendation task (BRT, i.e., looking for items according to the user&#x2019;s preferences), and exploration-oriented task (EOT, i.e., exploring different types of items). Results show that EOT stimulates more user interaction, while BRT results in higher user satisfaction. Moreover, when users perform EOT, the type of critiquing techniques is more likely to influence user perception and moderate the relationships between certain interaction metrics and users&#x2019; perceived serendipity. The findings suggest effective critiquing techniques to enhance the interaction between users and the recommendation chatbot when the system makes recommendations for different purposes.

Security quality of KMS and KMS adoption: The context of SMEs

BACKGROUND: Knowledge is a source of competitive and strategic resource for many small- and medium-sized enterprises (SMEs). Securing knowledge assets through secured knowledge management systems (KMS) is a critical concern among SMEs. Due to the socio-technical nature of KMS, the security quality of KMS is an influential factor in KMS adoption by SMEs. OBJECTIVE: This study examines the effects of the security quality of KMS and the task-technology fit on KMS adoption among SMEs in Ghana. It further investigates whether or not the security quality of KMS affects the ease of use of KMS among SMEs. METHODS: Using a structured questionnaire, data were gathered from 281 IT professionals from 67 SMEs in Ghana. We used the technology acceptance model (TAM) to find out how security quality and task-technology fit (TTF) affect users’ acceptance of KMS. To facilitate the data collection process and to strictly focus on small and medium-sized enterprises, we excluded enterprises having 100 or more employees. The analyses used for this study focused on the key constructs and they included correlation, factor analysis, and multiple regression analysis. RESULTS: The study found that both perceived ease of use and perceived usefulness influence users’ behavioral intention to accept KMS. Perceived ease of use has a positive relationship with perceived usefulness. Also, the security quality of KMS was found to affect both perceived usefulness and perceived ease of use. However, the effect of the relationship between the security quality of KMS and perceived ease of use is higher when moderated by TTF. CONCLUSIONS: The security quality of KMS is fundamental to strengthening knowledge as a source of competitive advantage for most enterprises. It is important for managers to recognize security quality as an opportunity rather than a threat to advance and sustain their competitiveness as well as ensuring knowledge-sharing success.