The security and reliability of cloud computing services continue to be major concerns that hinder their widespread adoption. This study explores how information reliability and cloud computing efficiency influence website design and e-commerce business development decisions on cloud computing. The researchers distributed 379 questionnaires to determine the sample size, resulting in a 46.50% response rate of 46.50% with 186 participants. Various statistical tests, including the t-test, the f-test (ANOVA and MANOVA), multiple correlation analysis and multiple regression analysis, are used to analyses the collected data. The results of the study show a positive correlation and influence between the reliability of information, specifically in terms of confidentiality, stability and verifiability and the decision to design and develop websites. Furthermore, the efficiency of cloud computing, particularly in communication and processing, demonstrates a positive relationship and impact on website design and development. These findings highlight the importance for e-commerce business leaders to understand the importance of information reliability and cloud computing efficiency. Recognizing these factors can enhance their competitive advantage in the e-commerce industry and foster consistent and sustainable growth. Research also highlights the contribution of cloud technology and security to increasing confidence in the development of e-commerce businesses.

Cybersecurity effectiveness in digitally intensive university environments depends not only on technological safeguards but also on how individuals enact protective behaviors within decentralized systems. While prior research has largely emphasized compliance intention, limited empirical attention has examined how behavioral mechanisms translate into measurable confidentiality, integrity, and availability (CIA) outcomes in smart universities. This study develops and tests an integrated structural model grounded in the Theory of Planned Behavior and Social Cognitive Theory to examine how contextual exposure, cognitive resources, and motivational processes jointly influence security outcomes. Using structural equation modeling (SEM), data from 540 respondents across multiple higher education institutions were analyzed. Behavioral intention (β = 0.489) emerges as the strongest predictor of CIA, followed by self-efficacy (β = 0.190). Cybersecurity knowledge influences CIA indirectly through attitudes and intention rather than through a dominant direct path. Technological exposure (β = 0.250) and social norms (β = 0.540) primarily strengthen knowledge formation. The model demonstrates strong empirical fit (CFI = 0.997; RMSEA = 0.057; SRMR = 0.015). These findings show that CIA protection in smart universities emerges through structured cognitive–motivational pathways in which awareness is transformed into capability and intention, rather than through technological exposure alone.

Large sports stadiums require robust real-time monitoring due to high crowd density, complex spatial configurations, and limited network infrastructure. This research evaluates a hybrid edge–cloud architecture implemented in a national stadium in Thailand. The proposed framework integrates diverse surveillance subsystems, including automatic number plate recognition, face recognition, and panoramic cameras, with edge-based processing to enable real-time situational awareness during high-attendance events. A simulation based on the stadium’s physical layout and operational characteristics is used to analyze coverage patterns, processing locations, and network performance under realistic event scenarios. The results show that geometry-informed sensor deployment ensures continuous visual coverage and minimizes blind zones without increasing camera density. Furthermore, relocating selected video processing tasks from the cloud to the edge reduces uplink bandwidth requirements by approximately 50–75%, depending on the processing configuration, and stabilizes data transmission during peak network loads. These findings suggest that processing location should be considered a primary architectural design factor in smart stadium systems. The combination of edge-based processing with centralized cloud coordination offers a practical model for scalable, safety-oriented monitoring solutions in high-density public venues.

Usability evaluation performance is one of the cornerstones of user interface design. This study presents the usability evaluation of Apple’s Siri based on Nielsen's usability heuristics. Apple’s Siri is one of the technologies of automatic speech recognition (ASR) that allows the user to use a natural language with smartphones and smart devices. The result shows that this feature still has a problem with the user who speaks English as a second language. This study may lead the developer to provide the best voice interfaces for the user who speaks English with a different accent.

This study examines intelligent judgment formation in blockchain-based public digital wallet systems within smart city environments. Drawing on an integrated framework that combines cognitive evaluation, social influence, and trust–risk appraisal, this research conceptualizes intelligent decision-making as a socially embedded and contextually enacted evaluative process rather than a fixed cognitive attribute. A structural equation modeling approach is employed to analyze the interrelationships among perceived usefulness, perceived ease of use, subjective norms, social electronic word of mouth, trust–risk appraisal, attitude, and behavioral intention. The findings indicate that socially distributed information signals play a dominant role in shaping evaluative integration and decision readiness, while cognitive and institutional appraisals operate primarily through mediated pathways. The results suggest that intelligent action in public digital service ecosystems emerges from the coordinated interaction of usability perception, institutional confidence, and socially calibrated information flows. These findings contribute to theoretical extensions of technology acceptance models in public governance contexts and offer implications for the design of socially responsive digital service infrastructures.