The rapid growth of Japanese pop culture and the increasing popularity of anime merchandise have significantly influenced consumer behavior, particularly among Generation Z in Indonesia. The development of digital platforms has also transformed marketing strategies, where content creators, social media, and website quality play crucial roles in shaping consumer purchasing decisions. This study aims to analyze the influence of content creators, social media, and website quality on purchasing decisions at Kyou Hobby Shop. This research employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to Generation Z consumers who had purchased products from Kyou Hobby Shop. The minimum sample consisted of 96 respondents selected using purposive sampling. The data were analyzed using multiple linear regression with the assistance of SPSS software. Several statistical tests were conducted, including validity, reliability, classical assumption tests, t-tests, and coefficient of determination analysis. The results indicate that content creators, social media, and website quality all have a positive and significant influence on purchasing decisions. Among these variables, website quality shows the strongest effect on consumer purchasing behavior. The findings also reveal that the three independent variables collectively explain 74.3% of the variation in purchasing decisions. In conclusion, an integrated digital marketing strategy involving effective content creators, active social media engagement, and high-quality website performance is essential for improving consumer purchasing decisions at Kyou Hobby Shop.

Purpose This study examines the impact of website metrics on e-commerce performance, focussing on average session duration (ASD) and e-commerce retail conversion rates. It aims to identify key metrics that drive user engagement and sales within a major online marketplace. The research seeks to provide actionable insights for optimising websites and improving conversion strategies by leveraging aggregated web analytics metrics. Design/methodology/approach Comprehensive website traffic data, encompassing a final sample of 1,315 pages, were collected for one month and analysed using SPSS 25.0. Multiple regression analysis examined how various web analytics metrics, ASD and e-commerce conversion rate are related. Hayes Process Model 1 investigated the moderation effect of page type on the relationship between session duration and conversion. Findings ASD positively predicted e-commerce conversion. Bounce rate (BR), new user ratio and pages per session significantly influenced session duration. Contrary to expectations, page type did not moderate the relationship between session duration and conversion rate, suggesting that engagement dynamics remained consistent across different page structures. Originality/value Unlike prior research that often relies on individual user clickstream data, this study uses comprehensive, site-wide traffic data, offering a broader perspective on website performance and user behaviour. This approach also incorporates key e-commerce metrics, such as BR and conversion rate, which have received limited attention in academic studies.

This research focuses on the study and design of Artificial Intelligence (AI)-driven models for enhancing search engine visibility and optimizing website performance. The study adopts a survey-based quantitative approach, supported by an extensive literature review, to analyze user behavior, website performance expectations, and awareness of AI applications in Search Engine Optimization (SEO). Data collected from more than 1250 respondents reveal that website loading speed, navigation, and mobile friendliness are the most influential factors affecting user experience and search rankings. The findings indicate that AI-based techniques such as automated keyword analysis, semantic content optimization, learning-to-rank models, and predictive performance analytics can significantly improve SEO outcomes and website efficiency. Based on empirical insights and literature synthesis, this study proposes an AI-driven integrated framework combining machine learning, natural language processing, and performance monitoring to enhance search visibility and user engagement. The research contributes by bridging the gap between AI-based SEO strategies and website performance optimization within a unified model.

Bridging the Language Gap: Readability and Quality of English- and Spanish-Language Online Uterine Artery Embolization Patient Education Resources.

The purpose of this paper is to understand the role of trust in customer-brand relationships in the digital age in Beninese SMEs. Using a qualitative approach, we conducted semi-structured interviews with 24 SME managers, marketing managers, and customer relationship managers, and adopted the thematic content analysis method using Nvivo 14 software. The results showed that trust is a central pillar of customer-brand relationships in the digital age. It is characterized by the security, transparency, and reliability of platforms, and positively influences customer loyalty, satisfaction, and engagement. Relational dimensions such as listening, responsiveness, and personalization strengthen the emotional connection between the customer and the brand, while technical aspects, particularly data security and website performance, form the essential foundations. Furthermore, social proof through reviews, recommendations, and interactions on social media appears to be a determining factor in building or eroding trust.

The use of information technology in the education sector has become an unavoidable necessity, particularly through the use of school websites as digital information service centers for students, teachers, parents, and the general public. School websites serve not only as a medium for conveying information but also as a means of communication, transparency, and support for academic activities. To optimally fulfill these roles, a website must be able to deliver good performance, fast access, high stability when there is an increase in the number of visitors, and adequate security to protect user data and activities. In Buleleng Regency, 17 state senior high schools (SMAN) have utilized official websites as part of their information services and digital administration needs. However, increased traffic, especially during certain times such as new student admissions or school announcements, often triggers high workloads (stress) on servers. This condition has the potential to reduce response speed, hinder user access, and even open up opportunities for security threats such as DDoS attacks and hacking attempts. This study aims to evaluate the technical performance, load resilience, and security aspects of the websites of senior high schools in Buleleng Regency using three automated testing tools: GTMetrix, LoadImpact K6.io, and OWASP ZAP Scan. This approach draws on previous research on website performance measurement, load testing, and user experience. The evaluation results are expected to provide a comprehensive overview of the actual condition of school websites and generate strategic recommendations to improve system speed, stability, and security. Furthermore, the findings from this testing serve as a basis for developing improvement measures so that school websites in Buleleng Regency can support digital education services more optimally, responsively, and securely.

In an era where environmental consciousness increasingly shapes consumer behaviour, the tourism industry faces the dual challenge of promoting destinations while ensuring ecological sustainability. This study explores how web analytics and big data can be leveraged to enhance the visibility and attractiveness of eco-friendly destinations. Building upon digital marketing and sustainability frameworks, the authors develop a data-driven methodology that integrates website performance metrics, search behaviour patterns, and social media engagement indicators. After data collection, statistical and content analyses were implemented, followed by a Fuzzy Cognitive Map (FCM) to visualise the interrelationships between online user behaviour, environmental awareness, and destination appeal.

The rapid digitization of academic services in higher education aims to foster paperless and efficient operations. However, suboptimal website performance can create significant barriers to student engagement and satisfaction, particularly in developing countries. This study presents a comparative analysis of the digital service experiences of students at Dhaka University (DU) and National University (NU) in Bangladesh. Using a quantitative, cross-sectional research design, 455 students were surveyed to evaluate website architecture through constructs of perceived efficiency, technical usability, user satisfaction, and digital engagement. Results indicate a profound disparity between the two institutions. DU students reported high mean scores for perceived efficiency (M=4.26) and engagement (M=4.45), while NU students reported significantly lower scores (M=2.07 for efficiency; M=2.01 for engagement). The findings demonstrate that NU’s fragmented website structure, characterized by multiple URLs, generates "extraneous cognitive load," leading to severe user dissatisfaction. Furthermore, a strong inverse relationship was found between reliance on third-party intermediaries (computer shops) and direct digital engagement, with the effect being most pronounced among NU students (r = -0.84). This reliance on middlemen not only highlights an institutional "usage gap" but also forces students into risky privacy behaviors by sharing sensitive data. The study concludes that transitioning to a centralized, user-centric architecture is essential for enhancing educational equity and student security.

This study investigates the usability and user experience of integrating 3D visualizations and short 3D animations into the website interface of a marketing agency. The research evaluates how computer-generated 3D elements influence user interaction, perception, and overall website performance. The experimental phase documents the design process, including software selection, web interface development, and the creation of 3D assets. Target user groups were defined and represented through personas, which informed the specification of website functionality, content structure, and information architecture. Wireframes were designed to determine the spatial organization of interface components, while parallel development focused on producing 3D models and animations intended for web deployment. Usability testing was conducted using the standardized User Experience Questionnaire (UEQ) supplemented with domain-specific questions. Participants interacted with a functional prototype to assess system usability, visual engagement, and navigational efficiency. The findings provide an analysis of user experience outcomes associated with the incorporation of 3D elements into web interfaces. The results offer practical guidance and best-practice recommendations for designers, developers, and content creators seeking to implement 3D visual content as a functional and aesthetic component of modern website design.

The relevance of the article. The relevance of the topic stems from the growing role of digital services in providing access to scientific and educational information, which is especially critical for technical higher education institutions, where operational, high-quality and fully functional web resources are essential. The use of digital monitoring tools enables an objective assessment of the performance of library websites, identification of shortcomings and determination of areas for their improvement. The purpose of the article. The purpose of the study is to conduct a comprehensive analysis of the functionality indicators of the websites of libraries of technical higher education institutions in Ukraine using digital monitoring tools (SEMrush Traffic Analytics and Google Lighthouse). The results. The study reveals the current level of functionality of the websites of libraries of technical higher education institutions in Ukraine, identifies key shortcomings in mobile optimization, accessibility according to WCAG 2.1 requirements, and overall performance, and determines priority areas for their improvement. The application of digital monitoring tools (SEMrush Traffic Analytics and Google Lighthouse) made it possible to evaluate traffic volume, sources, device distribution and technical performance, providing a basis for enhancing the quality of information services and integrating libraries into the digital educational environment. The scientific novelty. The comprehensive application of digital monitoring tools (SEMrush and Google Lighthouse) for assessing the functionality of library websites of higher education institutions in Ukraine made it possible not only to measure key performance indicators (loading speed, mobile adaptability, WCAG 2.1 compliance), but also to reveal significant gaps in traffic and accessibility compared to leading European counterparts. The proposed approach enables systematic evaluation of digital library services and formulation of evidence-based recommendations for their optimization and integration into the modern educational and scientific environment. The practical significance. The results of the study can be used to improve the performance of websites of libraries of technical higher education institutions in Ukraine, optimize mobile adaptability and structure of information resources, enhance accessibility of digital services for students and academic staff, and implement recommendations for the integration of libraries into the modern digital educational environment. Conclusions. The analysis showed that the websites of libraries of technical higher education institutions in Ukraine demonstrate varying levels of functionality and often have shortcomings in mobile optimization and accessibility according to WCAG 2.1 requirements. The use of digital monitoring tools provides an objective basis for assessing website performance, identifying problem areas and determining optimization directions to improve the quality of information services and support the educational process.

This study examines the influence of core e-service quality dimensions, information quality, website performance, and website confidentiality, on perceived emotional value, e-satisfaction, student loyalty, and electronic word-of-mouth (e-WOM) within the digital delivery of higher education services in Vietnam. Drawing upon the Stimulus–Organism–Response (SOR) framework, the Expectation–Confirmation Theory (ECT), and the Value-Based Adoption Model (VAM), this research investigates behavioral outcomes through psychological mediators. Data were collected from 311 university students with prior experience in using their universities’ electronic service platforms, including learning and academic management systems. Measurement scales were adapted from established studies, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS–SEM). The results reveal that e-service quality positively influences perceived emotional value, which subsequently drives e-satisfaction, student loyalty, and e-WOM. Furthermore, student loyalty reinforces e-WOM, underscoring the critical role of digital engagement in higher education. This study contributes to existing theory by integrating service quality dimensions, emotional responses, and behavioral intentions into a unified model. It also offers practical insights for enhancing student engagement, optimizing digital learning environments, and strengthening institutional reputation in today’s increasingly competitive digital education landscape.

Using digital technology is an important step in promoting Manila Sapodilla Seed Oil Extract Emulsion as a product that helps with hair growth in today's world. Social media and online platforms are now key tools for reaching more people and building connections with consumers. This study looks at existing research on how digital promotion works for beauty and hair care products. The findings indicate that utilizing social media platforms like TikTok and Instagram, combined with strategies such as electronic word of mouth (eWOM), collaborating with influencers, and enhancing website performance, can increase brand recognition and foster greater consumer interest in purchasing the product. Also, new product features, eye-catching packaging, and engaging online interactions help build a better image and trust in the product. Therefore, a promotional plan based on digital technology is effective in introducing and growing the Manila Sapodilla Seed Oil Extract Emulsion in a competitive market.

The rapid development of digital communication technologies requires higher education institutions to present professional, informative, and visually representative media particularly through institutional websites, which serve as the primary public interface. Preliminary observations indicate that photographic assets displayed on the website of the Faculty of Art and Design Education (FPSD) at Universitas Pendidikan Indonesia have not met aesthetic and communicative standards. The majority of images consist of low-quality documentation with minimal digital processing and limited adherence to visual communication and photojournalistic principles, resulting in insufficient representation of institutional identity. This study aims to redesign photographic assets to optimize the visual performance of the FPSD website using a Design Thinking methodology. The research process included the stages of empathize, define, ideate, prototype, and test, conducted through website observation, interviews, surveys, and visual quality assessments. Findings reveal that 78.1% of respondents expressed the need for professional-standard photographic production. The prototyping stage produced redesigned photographic assets that fulfilled technical photography standards, visual branding principles, and institutional communication needs. Prototype evaluation demonstrated significant improvements in aesthetic quality, communication effectiveness, and user experience within website display. The study concludes that enhancing photographic assets results not only in better visual aesthetics but also strengthens institutional credibility, professionalism, and authenticity of academic information. Practical implications emphasize the importance of establishing structured guidelines and standardized procedures for documentation and visual asset management in art and design education environments.

Background: Type 1 diabetes mellitus or juvenile/adolescent diabetes has a significant impact on the quality of life among children and parents. Thus, the development of a deep understanding of the disease of diabetes in childhood and the ways to prevent and treat patients allows health care providers to respond to their specific needs. One of the solutions to improve the knowledge of the patients is online education. Therefore, this study designed and evaluated a childhood diabetes education website with the goal of improving the quality of care for children and reducing mortality. Methods: This study involved three phases of content collection, website design, and evaluation. The website content information was collected from reliable library sources and created using the WordPress website design tool. Subsequently, the website content, performance, display capabilities, terminology and information retrieval, and ease of learning were evaluated by physicians and nurses. Results: Comprehensive clinical information about pediatric diabetes was provided on the website. In the evaluation of the website content, the highest average was related to the type 1 diabetes section at a glance and the lowest average was related to the pathology section. In evaluating the website performance, the highest average was related to the overall design and the lowest average was related to the ease of use. Overall, the website performance was of good quality. Conclusion: To increase the effectiveness of care services and reduce the complications of diseases, providing accurate and reliable information in the form of educational websites should be considered.

Digital transformation has reshaped how cruise firms acquire, engage and retain customers. However, existing research rarely integrates these behavioural dimensions within a unified analytical framework. This study applies a hybrid regression–Fuzzy Cognitive Mapping (FCM) approach to examine how acquisition channels, engagement indicators and online reputation metrics jointly shape website performance and digital innovation among leading global cruise operators. Using multi-source web-analytics data, regression models identify the direct predictive effects of organic, paid, referral and email channels, while FCM captures their non-linear feedback dynamics. Results reveal that visibility does not equate to engagement: organic and referral traffic drive exposure but not depth, whereas authority and reputation mediate engagement–performance relationships. Scenario simulations reveal asymmetric responses within the digital ecosystem. Consequently, balanced, knowledge-driven channel diversification emerges as a key strategic advantage. The findings extend the Knowledge-Based View (KBV) by conceptualising behavioural analytics as organisational knowledge resources that enable adaptive learning and digital innovation. The proposed framework contributes to both tourism analytics and information systems research, offering a scalable model for understanding how data-intensive service firms convert behavioural information into strategic knowledge and sustainable competitive advantage.

The main purpose of the study remains to provide an overview of the benefits of AI chatbots-based websites compared to traditional websites using a comparative approach.Methodology: The study employed a mixed-methods approach to conduct the data analysis.A set of 200 respondents has been considered as the sample for the survey questionnaire conducted with the target of conducting Primary Quantitative Data Analysis.The close-ended questions were generated touching all the aspects related to the process of generating a Chatbot.Both the users of chatbot-enabled websites and the companies that use chatbots as customer service representatives were taken into consideration as samples.Results: The results of the study show that the users have a higher response in support of Chatbot-based website usage, and they do agree that chatbots have been working as a feasible way of exploring the processes regarding solving the issues related to the company tasks.On the other hand, the chatbot users have agreed that sometimes the chatbots are slow and their repetitive questions consume more time, and in cases where time is less for generating proper solutions, a higher chance of direct conversation with an agent from the company is required.Limitations: The study could conduct an interview-based solution generation method that would involve a primary qualitative data analysis to understand the company leaders' views regarding the use of AI chatbots.

Abstract. In an increasingly competitive digital era, website performance is a crucial factor in determining service quality and user satisfaction. Access speed and file size efficiency are two main aspects that affect user experience in accessing an online platform. Based on these needs, a Laravel-based car showroom website design and development is carried out with a focus on reducing file size and increasing access speed, using a case study at ARR Motor showroom. The method used is the Agile approach with the Kanban model, which includes the stages of needs analysis, system design, implementation, testing, and evaluation. The optimization strategy applied includes image compression, lazy loading, caching, and database query optimization through eager loading techniques. Test results with Laravel Debugbar and User Acceptance Test (UAT) showed a significant improvement in the efficiency of load time and system resource usage. These findings show that the application of optimization techniques in the Laravel framework can produce an efficient, lightweight, and responsive showroom website.

This study compares the performance of static and dynamic websites in the context of digital information services. The background of this research is based on the need for organizations and educational institutions to select the right website architecture to provide fast, secure, efficient, and sustainable services. The objective of the study is to analyze the advantages and limitations of each website model from various aspects, including data security, development and maintenance costs, system sustainability, and the ability to integrate with new technologies. The research method uses a descriptive qualitative approach, analyzing relevant current literature, to obtain a comprehensive picture of the technical and non-technical characteristics of both types of websites. The results show that static websites excel in terms of security, initial cost, and system simplicity, but lack flexibility in technology integration. Conversely, dynamic websites excel in flexibility, ease of updating, and readiness to adapt to future technologies, but require higher costs and a robust security strategy. The implication of these findings is the need for a website architecture selection strategy tailored to the organization's needs, resources, and long-term goals.

The article is oriented towards studying technical sustainability of UX/UI design, exploring the approaches to website creation: responsive, adaptive and mobile-first design. Measurements were made for the performance of the different web page elements that make up a web page, testing the various methods for creating an element, as well as structuring the web page as a whole. Experimental measurements were made for responsive and adaptive designs and for 3 types of mobile devices: smartphone, tablet and laptop. Based on the analysis of the collected measurement results, conclusions are drawn, and specific recommendations are given for optimization in creating effective web page designs for different design approaches.

This study conducted a webometric analysis of the library websites of 56 central universities in India, with a focus on the usability of these websites, the quality of their content, and the structure of their link systems. A variety of tools were utilized to collect data on various metrics, including the simple web impact factor (SWIF), the self-link web impact factor (SLWIF), and the external link web impact factor (ELWIF). These tools included Google Search, Website Link Analyzer, and Broken Link Checker. The findings underscored discrepancies in website performance, with Aligarh Muslim University demonstrating proficiency in numerous metrics. Conversely, certain universities encountered impediments, including broken links and inadequate external linkages. The study emphasized the significance of regular audits, link optimization, and content updates in enhancing the digital presence and functionality of library websites. The recommendations encompassed targeted interventions aimed at addressing these identified gaps, with the overarching objective being the enhancement of user experience and the optimization of search engine performance.