Search Results (354)

In academia, innovation intentions among students are a highly sought-after outcome due to their overarching positive impacts on performance and well-being, especially in the higher education context. This research addresses entrepreneurial education and its influence on innovation intentions across several universities in Beirut, Lebanon. The research also examines the indirect effects of opportunity recognition and psychological capital as mediators and fear of failure as a moderator. Through the lens of the theory of planned behavior, the stimulus-organism-response model, and the entrepreneurial event model, a survey was designed. A total of 263 samples were collected from the students of three universities in Beirut where the academic setting was English, and international students were present. Using Partial Least Squares—Structural Equation Modeling, the data was analyzed, and the hypotheses were supported. Results suggest that the learning environment in universities is a major determinant of innovative outcomes for students. However, implementation of entrepreneurial education alone cannot be as effective as it needs to be; it must be complemented by initiatives that enhance perceptions and internal capabilities of students to achieve innovation in their behaviors. This highlights the vitality of psychological capital and fear of failure in this context. Full article

Advances in information technology have enabled virtual museums to transcend traditional physical boundaries and become important tools in education. Despite their growing use, the factors influencing the effectiveness of virtual museums in enhancing students’ learning motivation remain underexplored. This study investigates key factors that promote learning motivation among secondary school students using the National Museum of Nature’s Online Virtual Exhibition as a case study. Grounded in the Stimulus–Organism–Response (S-O-R) theoretical framework, a conceptual model was developed and empirically tested using Structural Equation Modeling (SEM) to examine relationships among stimulus variables, psychological states, and learning motivation. Results reveal that affective involvement, cognitive engagement, and perceived presence significantly enhance learning motivation, while immersion shows no significant effect. Among the stimulus factors, perceived enjoyment strongly promotes affective involvement, perceived interactivity enhances cognitive engagement, and content quality primarily supports cognitive processing. Visual aesthetics contribute notably to immersion, affective involvement, and perceived presence. These findings elucidate the multidimensional mechanisms through which user experience in virtual museums influences learning motivation. The study provides theoretical and practical implications for designing effective and engaging virtual museum educational environments, thereby supporting sustainable digital learning practices. Full article

In response to growing concerns about overtourism and the need for sustainable heritage tourism, this study investigates how external environmental stimuli affect tourists’ perceived value and behavioral intentions in historic urban environments. Using the Stimulus–Organism–Response (SOR) model as the theoretical framework, and based on 275 valid questionnaires collected from five major sites in the Historic Center of Macau, this study explores the direct and indirect relationships among four types of environmental stimuli (physical factors, social activities, environmental atmosphere, and information and services), perceived value, and behavioral intentions. The results of structural equation modeling (SEM) indicate that all four stimuli significantly influence perceived value and behavioral intentions. Among them, physical factors exert the strongest influence on perceived value (β = 0.291, p < 0.001), while social activities are the most influential predictor of behavioral intentions (β = 0.225, p < 0.01). Perceived value plays a significant mediating role in all relationships, with the largest mediation effect found in the path from physical factors to behavioral intentions (27.99%), followed by environmental atmosphere (24.80%), information and services (22.62%), and social activities (11.66%). These findings validate the applicability of the SOR model in heritage tourism contexts and highlight the central role of perceived value in shaping tourist behavior. Theoretically, this study advances our understanding of how multidimensional environmental stimuli contribute to value-based decision-making in tourism. Practically, it provides actionable insights for urban planners and heritage managers to design environments that promote deeper engagement and foster sustainable tourist behavior in high-density historic destinations like Macau. Full article

Fashion live commerce has rapidly emerged as a compelling format that blends entertainment, real-time interaction, and product promotion. However, limited research has examined how specific experiential and perceptual factors influence consumer behavior in this context. This study aims to identify the key psychological and environmental drivers of satisfaction, continued platform use, and purchase intention among viewers of fashion live commerce. Using the stimulus–organism–response framework, this research focuses on the effects of perceived credibility, social media influencer characteristics, informativeness, internal shop environment, and monetary savings. Data were collected from 300 users of fashion live commerce platforms and analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicate that all predictor variables significantly influence either satisfaction or current use, and both satisfaction and current use significantly predict purchase intention. Among the factors, satisfaction plays a central role, acting as a strong predictor for both current engagement and future buying decisions. These findings offer theoretical insights into consumer engagement in live commerce and provide practical guidance for streamers, marketers, and platform designers aiming to improve user experience and conversion rates. This study contributes to understanding the evolving dynamics of digital shopping environments shaped by social and emotional interactions. Full article

Following exposure to trauma, avoidance behavior can be protective but also contribute to severe symptoms and interfere with exposure-based therapy. Extinction of fear conditioning by exposure to the same environment or environmental cues that were present during the initial traumatic event but without including the aversive stimulus or stimuli is often used to study post-traumatic stress disorder (PTSD), a condition characterized by an inability to suppress conditioned fear responses. A limitation of this paradigm is that one cannot avoid the context or cues associated with the initial traumatic event. In contrast, in the passive avoidance test, one can escape the environment associated with the aversive stimulus. Genetic factors might modulate the ability to extinguish fear memory. In this study, we compared the effects of distinct human apoE isoforms on the extinction of contextual fear and passive avoidance memory, as well as on subsequent activity levels, depressive-like behavior, and hippocampal levels of tau, in targeted replacement mice. Full article

With the rapid development of intelligent transportation systems, voice assistants are increasingly integrated into driving environments, providing an effective means to mitigate the risks of fatigued driving. This study explored drivers’ interaction preferences with voice assistants under different fatigue states and proposed a fatigue-state-based dialogue-awakening mechanism. Using Grounded Theory and the Stimulus–Organism–Response (SOR) framework, in-depth interviews were conducted with 25 drivers from diverse occupational backgrounds. To validate the qualitative findings, a driving simulation experiment was carried out to examine the effects of different voice interaction styles on driver fatigue arousal across various fatigue levels. Results indicated that heavily fatigued drivers preferred highly stimulating and interactive voice communication; mildly fatigued drivers tended toward gentle and socially supportive dialogue; while drivers in a non-fatigued state preferred minimal voice interference, activating voice assistance only when necessary. Significant occupational differences were also observed: long-haul truck drivers emphasized practicality and safety in voice assistants, taxi drivers favored voice interactions combining navigation and social content, and private car owners preferred personalized and emotional support. This study enriches the theoretical understanding of fatigue-sensitive voice interactions and provides practical guidance for the adaptive design of intelligent voice assistants, promoting their application in driving safety. Full article

Visual behaviour in zebrafish, often measured by the optokinetic reflex (OKR), serves as a valuable model for studying aspects of human neurological and ocular diseases and for conducting therapeutic or toxicology assays. Traditional methods for OKR analysis often rely on binarization techniques (threshold-based conversion of images to black and white) or costly software, which limits their utility in low-contrast settings or hypopigmented disease models. Here, we present a novel deep learning pipeline for OKR analysis, using ResNet-50 within the DeepLabCut framework in a Python Version 3.10 environment. Our approach employs object tracking to enable robust eye movement quantification, regardless of variations in contrast or pigmentation. OKR responses were elicited in both wild-type and slc45a2 (albino) mutant zebrafish larvae at 5 days post-fertilisation, using a mini-LED arena with a rotating visual stimulus. Eye movements were recorded and analysed using both conventional software and our deep learning approach. We demonstrate that the deep learning model achieves comparable accuracy to traditional methods, with the added benefits of applicability in diverse lighting conditions and in hypopigmented larvae. Statistical analyses, including Bland–Altman tests, confirmed the reliability of the deep learning model. While this study focuses on 5-day-old zebrafish larvae under controlled conditions, the pipeline is adaptable across developmental stages, pigmentation types, and behavioural assays. With appropriate adjustments to experimental parameters, it could be applied to broader behavioural studies, including social interactions and predator–prey dynamics in ocular and neurological disease models. Full article

The P300 event-related potential, evoked by attending to specific sensory stimuli, is utilized in non-invasive brain–computer interface (BCI) systems and is considered the only interface through which individuals with complete paralysis can operate devices based on their intention. Conventionally, visual stimuli used to elicit P300 have been presented using displays; however, placing a display directly in front of the user obstructs the field of view and prevents the user from perceiving their surrounding environment. Moreover, every time the user changes posture, the display must be repositioned accordingly, increasing the burden on caregivers. To address these issues, we propose a novel system that employs wirelessly controllable LED visual stimulus presentation devices distributed throughout the surrounding environment, rather than relying on traditional displays. The primary challenge in the proposed system is the communication delay associated with wireless control, which introduces errors in the timing of stimulus presentation—an essential factor for accurate P300 analysis. Therefore, it is necessary to evaluate how such delays affect P300 detection accuracy. The second challenge lies in the variability of visual stimulus strength due to differences in viewing distance caused by the spatial distribution of stimulus devices. This also requires the validation of its impact on P300 detection. In Experiment 1, we evaluated system performance in terms of wireless communication delay and confirmed an average delay of 352.1 ± 30.9 ms. In Experiment 2, we conducted P300 elicitation experiments using the wireless visual stimulus presentation device under conditions that allowed the precise measurement of stimulus presentation timing. We compared P300 waveforms across three conditions: (1) using the exact measured stimulus timing, (2) using the stimulus timing with a fixed compensation of 350 ms for the wireless delay, and (3) using the stimulus timing with both the 350 ms fixed delay compensation and an additional pseudo-random error value generated based on a normal distribution. The results demonstrated the effectiveness of the proposed delay compensation method in preserving P300 waveform integrity. In Experiment 3, a system performance verification test was conducted on 21 participants using a wireless visual presentation device. As a result, statistically significant differences (p < 0.01) in amplitude between target and non-target stimuli, along with medium or greater effect sizes (Cohen’s d: 0.49–0.61), were observed under all conditions with an averaging count of 10 or more. Notably, the P300 detection accuracy reached 85% with 40 averaging trials and 100% with 100 trials. These findings demonstrate that the system can function as a P300 speller and be utilized as an interface equivalent to conventional display-based methods. Full article

Cartilage tissue engineering (CTE) is an advancing field focused on developing biomimetic scaffolds to overcome cartilage’s inherently limited self-repair capacity. Smart hydrogels (SHs) have gained prominence among the various scaffold materials due to their ability to modulate cellular behavior through tunable mechanical and biochemical properties. These hydrogels respond dynamically to external stimuli, offering precise control over biological processes and facilitating targeted tissue regeneration. Recent advances in fabrication technologies have enabled the design of SHs with sophisticated architecture, improved mechanical strength, and enhanced biointegration. Key features such as injectability, controlled biodegradability, and stimulus-dependent release of biomolecules make them particularly suitable for regenerative applications. The incorporation of nanoparticles further improves mechanical performance and delivery capability. In addition, shape memory and self-healing properties contribute to the scaffolds’ resilience and adaptability in dynamic physiological environments. An emerging innovation in this area is integrating artificial intelligence (AI) and omics-based approaches that enable high-resolution profiling of cellular responses to engineered hydrogels. These data-driven tools support the rational design and optimization of hydrogel systems and allow the development of more effective and personalized scaffolds. The convergence of smart hydrogel technologies with omics insights represents a transformative step in regenerative medicine and offers promising strategies for restoring cartilage function. Full article

In today’s complex business environments, integrating strategic corporate social responsibility (SCSR) is essential for aligning business objectives with societal interests and strengthening organizational resilience. Using Tesla as a case study, we applied stakeholder theory, grounded theory, and the Stimulus-Organism-Response (S-O-R) model to construct a theoretical framework on the impact of SCSR on organizational resilience and to examine the mechanisms underpinning this process. Through the implementation of SCSR, enterprises deeply engage with primary and public stakeholders, establish resilient relationships, and enhance organizational resilience through seven dimensions: development governance, strategic management, relationship, financial, product, cultural, and social. The theoretical framework developed in this study provides a reference for subsequent research on SCSR and organizational resilience, and offers management insights for enterprises to integrate SCSR, enhance organizational resilience, and improve long-term competitiveness. Full article

Background/Objectives: Environmental psychology has long investigated how exposure to natural versus urban environments influences cognitive processes, particularly attention. According to Attention Restoration Theory (ART), natural scenes promote involuntary attention and facilitate recovery from mental fatigue. In this study, we used a modified Posner cueing paradigm to assess how natural and urban backgrounds affect both exogenous (involuntary) and endogenous (voluntary) attention. To capture both behavioral and neural responses, the study collected reaction times (RTs) as a measure of task performance, alongside electrophysiological data (event-related potentials, ERPs: P1, N1, P2, N2, and P3) to explore underlying attentional processes. Methods: Participants completed a visuospatial task in which visual cues anticipated the appearance of a target stimulus, while background images depicting either natural or urban environments remained visible throughout. Attention was assessed under both valid (cue correctly predicts target location) and invalid (cue misleads target location) conditions. Results: The overall findings align with the existing literature: RTs were shorter in valid trials compared to invalid ones. No main facilitation effect from natural backgrounds was observed. However, participants showed slower RTs in invalid trials with natural backgrounds, which may support ART by suggesting that attention restoration could lead to slower responses in certain attentional scenarios. Electrophysiological data reinforced these behavioral results, revealing an increased N2 amplitude in the natural background invalid condition. Conclusions: Despite some limitations, this study provides novel insights into human–nature interactions, offering a fresh perspective on the complex relationship between environment and cognition. Full article

This study aims to explore the factors influencing word-of-mouth (WOM) intentions among cultural tourists in Thailand’s southern border provinces. This study develops a comprehensive framework predicting WOM intentions by combining the Stimulus–Organism–Response (S-O-R) model, the theory of planned behavior (TPB), and the cognitive–affective–conative (CAC) model, given the critical role of WOM in tourism marketing. Data were collected from 386 cultural tourists through purposive sampling using a self-administered questionnaire. The study employs structural equation modeling (PLS-SEM) to investigate relationships between trust, attitude, satisfaction, and WOM intentions. The findings reveal that trust, satisfaction, and attitude significantly impact WOM intentions. Social influence strongly predicts trust, while the perceived quality of behavior influences attitude. Satisfaction is driven by perceived value, the quality of the experience, the quality of the physical environment, and tourist engagement. This study contributes to cultural tourism literature by integrating different behavioral theories to provide a robust WOM model. This study’s theoretical contributions and practical implications for scholars, policymakers, tourism marketers, and cultural site operators will be further discussed. Full article

Wood is often used as an interior surface finish in buildings, including exposed cross-laminated timber panels and other structural mass timber members. Building occupants generally have a positive reaction to visible wood elements used in building interiors due to the visual qualities associated with wood being a natural material. This study aims to identify any thermal comfort impacts of wood interior environments using subjective occupant-reported perceived thermal sensation during two experiments conducted in a climate chamber fitted with either white-painted gypsum wallboard or unfinished laminated Douglas Fir wall panels. In the first experiment, the thermal environment was continually varied while the visual stimulus of the wall type remained constant. Irrespective of wood or white wall treatment type, thermal history played a significant role in the perceived thermal comfort of participants under continually modulating temperatures. In the second experiment, a slightly warm steady-state thermal environment was maintained while one of the two wall treatments was revealed from behind a black curtain. While the shift in thermal sensation toward neutral was greater with wood walls than with white walls, the difference was not found to be statistically significant and appears to diminish after 15 min of exposure to the new visual surroundings. Full article

In the context of the global environment, the rapid advancement of Internet technology has facilitated a transition from traditional offline to online modes for corporate social responsibility (CSR) activities, leading to the emergence of virtual CSR co-creation initiatives. A crucial challenge for enterprises engaging in such activities lies in enhancing consumer participation and retention rates. This study constructs a mediation effect model incorporating emotional factors, interaction factors, social presence, and consumer willingness to participate, grounded in the Stimulus–Organism–Response (S-O-R) model. Based on data collected from 232 consumers in China, this study reveals that identification, enthusiasm, and satisfaction exert positive influences on consumer willingness to participate. Additionally, social presence positively affects willingness to participate and acts as a mediator between community platform interaction, offline interaction, and willingness to participate. Full article

Knowledge visualization has gained significant research attention for its potential to facilitate knowledge construction through interactive graphics while minimizing cognitive load during information processing. However, limited research has examined the integration of knowledge visualization within highly interactive mixed-reality environments and its effects on user experiences and science, technology, engineering, and mathematics (STEM) sustainability. Drawing on the cognitive-affective model of immersive learning, this study investigates how learners’ user experiences, elicited by mixed-reality features and usability, influence their sustainable engagement with STEM learning through knowledge-visualization tools framed within the stimulus–organism–response model. A novel mixed-reality learning system was developed, with the user interface designed using concept maps to graphically visualize concept nodes and their interconnected relationships. A total of 136 learners from two high schools in China participated in an experiment on frictional physics using this novel system. Using structural equation modeling, the collected data were analyzed with partial least squares. The findings demonstrate that mixed-reality features of knowledge visualization (featured by 3D graphics, interface design, and operational functions), as well as usability (featured by the perceived usefulness of the concept map, perceived ease of use, and perceived usefulness of the system), have positive significant impacts on user experience (represented by satisfaction, perceived enjoyment, and attitude). Subsequently, positive user experiences have positive significant impacts on learners’ sustained intention to engage with STEM education. Further mediating analysis provides empirical evidence that positive user experiences, acting as a psychological enabler, mediate the relationship between system design and behavioral intention. The research model explains 65.2% of the variance for system usability, 53.4% for satisfaction, 51.5% for perceived enjoyment, 54.9% for attitude, and 63.2% for continuance intention. By fostering positive user experiences in STEM learning, this study offers valuable insights for educators and practitioners seeking to implement effective interactive knowledge visualizations to support sustainable STEM education and immersive learning. Full article