Search Results (112)

Against the backdrop of the rapid proliferation of electric vehicles (EVs), gender-oriented behavioral mechanisms remain underexplored, particularly the unique pathways of female users in usage experience, value assessment, and purchase decision-making. This study constructs an integrated framework based on the Stimulus–Organism–Response (SOR) model, leveraging social media big data to analyze in depth how gender differences influence EV users’ purchase intentions. By integrating natural language processing techniques, grounded theory coding, and structural equation modeling (SEM), this study models and analyzes 272,083 pieces of user-generated content (UGC) from Chinese social media platforms, identifying key functional and emotional factors shaping female users’ perceptions and attitudes. The results reveal that esthetic value, safety, and intelligent features more strongly drive emotional responses among female users’ decisions through functional cognition, with gender significantly moderating the pathways from perceived attributes to emotional resonance and cognitive evaluation. This study further confirms the dual mediating roles of functional cognition and emotional experience and identifies a masking (suppression) effect for the ‘intelligent perception’ variable. Methodologically, it develops a novel hybrid paradigm that integrates data-driven semantic mining with psychological behavioral modeling, enhancing the ecological validity of consumer behavior research. Practically, the findings provide empirical support for gender-sensitive EV product design, personalized marketing strategies, and community-based service innovations, while also discussing research limitations and proposing future directions for cross-cultural validation and multimodal analysis. Full article

Within the context of urban sustainability, the renewal and activation of communities have received growing attention. Public art, as a common approach to community revitalization, has long been regarded as an effective means of addressing urban and community issues. Basic human senses serve as a bridge between residents and community spaces, offering an effective entry point for creating human-oriented spaces. This study addresses the challenge of insufficient spatial vitality in community spaces by examining how sensory interventions can enhance residents’ participation in public art and thereby contribute to the revitalization of communities. To guide this inquiry, a theoretical framework was constructed based on sensory marketing theory and the Stimulus–Organism–Response (SOR) model, focusing on three core dimensions: sensory stimuli, perceptual responses, and behavioral intention. The study further investigated the relationship between public art and residents’ willingness to participate through five types of sensory stimuli, using a measurement scale and Structural Equation Modeling (SEM), with eight public art installations in Shanghai serving as case references. It also assessed the relative strength of each effect. Participant interviews and non-participatory observations were subsequently conducted for validation and supplementary analysis. The results show that residents’ participation willingness in community public art is directly influenced by perceptual responses (emotional fluctuations, cognitive memory, and physiological responses), and indirectly influenced by different sensory stimuli. Cognitive memory, shaped mainly by olfactory and visual stimuli, emerged as the most important factor in encouraging participation. Participation willingness also varies across generations, and different sensory stimuli are associated with distinct participation patterns. Based on empirical data from Shanghai’s community activation practices, the study proposes implementation strategies guided by the Theory of Planned Behavior (TPB) to enhance spatial vitality, promote community activation, and support sustainable development. Full article

Improving students’ course satisfaction is conducive to the development of sustainable education. Based on the stimulus–organism–response (SOR) theory and the perceived value theory, this paper constructs an analytical framework of “teacher teaching–students’ psychological transformation–students’ course satisfaction”; puts forward hypotheses; builds models; collects 270 valid questionnaires from current students in universities majoring in economics and management in mainland China; and uses correlation analysis, regression analysis, and mediation test methods to study the influence of the economics and management major teachers’ teaching on students’ course satisfaction. This research shows that (1) teachers’ teaching has a differentiated driving effect on students’ psychology, with the usefulness of teaching content being the key path to enhancing students’ perceived value, teachers’ teaching attitudes and methods being the core means to building trust in a course, and the moderate difficulty of examination driving students’ examination preparation intention, and (2) students’ psychology is the core means for the transformation of course satisfaction, with perceived value directly driving course satisfaction; course trust being the cornerstone of course satisfaction and playing a significant mediating role between teachers’ teaching attitudes and methods and students’ course satisfaction, and students’ examination preparation intention positively promoting course satisfaction and playing a significant mediating role between moderate difficulty of examination and course satisfaction. This study provides some scientific basis for improving course satisfaction and teaching efficiency, enhancing the teaching quality of higher education, and promoting the development of sustainable education. Full article

Background: In an increasingly digital marketplace, social media marketing activities (SMMAs) have become vital for building consumer–brand relationships, particularly among Generation Z (Gen Z) consumers. Coffee shops offer a unique context because they are lifestyle-oriented and highly dependent on repeat visits, making them especially responsive to digital engagement. This study examines the impact of SMMAs on brand loyalty in the Saudi Arabian coffee shop sector, with a particular focus on the mediating role of consumer brand preference and the moderating role of brand awareness. Drawing on the Stimulus–Organism–Response (S-O-R) framework and Generational Marketing Theory, the research explores how Gen Z consumers respond to social media efforts that are informative, interactive, trendy, and personalized. Methods: Data were collected using convenience sampling via an online survey of 412 Gen Z consumers in Saudi Arabia who follow at least one local or international coffee shop brand on social media. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the hypothesized relationships, mediation, and moderation effects. Results: The findings revealed that SMMAs have a substantial direct effect on both brand loyalty and consumer brand preference. Moreover, consumer brand preference partially mediates the relationship between SMMAs and brand loyalty, underscoring its importance as a psychological mechanism in the formation of loyalty. Additionally, brand awareness was found to significantly moderate the SMMAs–brand loyalty relationship, with more potent effects observed among consumers with higher levels of brand familiarity. Implications: The study contributes theoretically by extending the S-O-R framework with Generational Marketing Theory, demonstrating the partial mediating role of brand preference and the moderating direct effect of brand awareness. Practically, the results suggest that coffee shop marketers should design social media strategies that are informative, interactive, trendy, and personalized while also investing in awareness-building campaigns to amplify loyalty among Gen Z consumers. Full article

This study examines the impact of food authenticity and social media exposure on revisit intention, mediated by the roles of memorable culinary tourism experience and destination image. This research uses a quantitative approach with an explanatory research type. The survey was conducted on 400 domestic tourists who had experienced local culinary tourism in Magelang Regency through the distribution of questionnaires. Data analysis used Structural Equation Modeling (SEM) with the LISREL 8.8 software. The research results indicate that food authenticity and social media exposure have a positive and significant impact on revisit intention, mediated by the Memorable Culinary Tourism Experiences and Destination Image. These findings expand the Consumer Behavior Theory by integrating cultural and digital elements, strengthen the Stimulus–Organism–Response (SOR) Theory, and support the development of Brand Equity Theory in culinary tourism destinations. Full article

This study is based on the theory of social embedding and selects the entrance community of Baoping County in the Giant Panda National Park as a case to explore the five core dimensions of cognitive embedding, relational embedding, structural embedding, institutional embedding, and cultural embedding and their mechanisms of influence on pro-environmental behaviors (mainly the five dimensions discussed). The study constructs a “stimulus—organism—response” (S-O-R) model, introduces two mediating variables, tourism impact perception and place attachment, and conducts empirical analysis based on 326 valid questionnaire responses using structural equation modeling. The results show that all dimensions of social embedding have a significant positive impact on pro-environmental behaviors, but the mechanisms and transmission paths vary. Each dimension indirectly influences pro-environmental behaviors through the chain path of “tourism impact perception → place attachment.” The study reveals the key role of social relationship networks, tourism perception, and emotional belonging in stimulating environmental behaviors and emphasizes the need to systemically enhance residents’ ecological responsibility awareness and action willingness through community co-construction, optimization of tourism benefits, and cultural atmosphere creation. Full article

This study investigates how AI-driven virtual anchors affect consumers’ purchase intentions by identifying their key attributes, underlying mechanisms, and configurational interplay. We integrate latent Dirichlet allocation (LDA), structural equation modeling (SEM), and fuzzy-set qualitative comparative analysis (fsQCA) into a unified methodological framework. Empirical evidence demonstrates that the public visibility of virtual anchors exerts a significant positive impact on purchase intention, whereas professionalism, responsiveness, and personalization primarily cultivate consumer pleasure and trust, yet exert limited direct influence on purchase decisions. Emotional states—arousal, pleasure, and trust—mediate the relationship between anchor characteristics and purchase intention. fsQCA further reveals that high purchase intention emerges when responsiveness serves as a necessary condition, trust operates as a pivotal hub, and arousal/pleasure function as emotional conduits; conversely, low purchase intention is chiefly attributable to deficiencies in visibility, responsiveness, and trust. By synthesizing the SOR (stimulus-organism-response) model with the PAD (Pleasure-Arousal-Dominance) emotion theory, this research extends theoretical insights into consumer behavior within e-commerce live-streaming contexts and provides actionable guidance for optimizing virtual anchor strategies, thereby advancing both standardization and innovation in the industry. Full article

This study explores how Instagram fashion influencers build brand loyalty through customer engagement within the framework of sustainable consumption. Grounded in the stimulus–organism–response (SOR) theory, influencer marketing is conceptualized as a stimulus that activates customer engagement (organism), which in turn enhances brand loyalty (response). A cross-sectional survey was conducted with 279 Instagram users in Palestine who actively follow fashion influencers, and the model was tested using partial least squares structural equation modeling (PLS-SEM). The findings confirm that social media influencer marketing (SMIM) significantly improves both engagement and loyalty. Customer engagement was found to be both a partial mediator and a significant moderator, such that highly engaged consumers exhibited stronger loyalty responses—suggesting intensified value alignment and emotional resonance in sustainability contexts. This study extends the prior literature by integrating the creation–consumption–contribution (C–C–C) model into the SOR framework and conceptualizing engagement as both a psychological state and a boundary condition. It contributes to sustainable consumption research by illustrating how participatory digital behaviors can foster ethical brand relationships, particularly in emerging economies. Practically, it offers strategic guidance for fashion brands and influencers to design campaigns that promote co-creation, authenticity, and eco-conscious narratives. It also emphasizes the importance of aligning influencer values with those of sustainability-minded consumers to foster long-term loyalty. By contextualizing the findings within the Palestinian market, the study highlights how cultural factors may shape engagement and sustainability perceptions, paving the way for future cross-cultural investigations. Full article

This study explores how AI chatbot experiences on travel websites influence consumer engagement, with satisfaction from using AI chatbots as a mediating factor. Grounded in the Stimulus-Organism-Response (S-O-R) framework, the research shifts the focus from utilitarian models to examine how chatbot attributes—e.g., ease of use, information quality, security, anthropomorphism, and omnipresence—affect satisfaction of using AI chatbots and subsequent consumer engagement behaviours. Survey data from 519 Portuguese travellers were analysed using partial least squares structural equation modelling (PLS-SEM). The study contributes to theory by (1) demonstrating S-O-R’s advantages over utilitarian models in capturing relational and emotional dimensions of AI interactions, (2) identifying satisfaction with using AI chatbots as a pivotal mediator between AI chatbot experience and consumer engagement, and (3) revealing generational disparities in drivers of engagement. Notably, satisfaction strongly influences engagement for Generation X, while direct experience matters more for Generation Z. Millennials exhibit a distinct preference for hybrid human–AI service handoffs. The practical implications include prioritizing natural language processing for ease of use, implementing generational customization (e.g., gamification for Gen Z, reliability assurances for Gen X), and ensuring seamless human escalation for Millennials. These insights equip travel businesses to design AI chatbots that foster long-term loyalty and competitive differentiation. Full article

Identifying predictors of pro-environmental behaviors (PEBs) can not only figure out who concerns about the environment most but also inform possible pathways that advance or inhabit such prosocial actions. Most past studies and theories focus on factors that reside within personal characteristics or sociopsychological mechanisms rather than taking a holistic view that integrates these two elements into a framework. This study investigates how socioeconomic status (SES) correlates with PEBs, integrating both structural and psychological mechanisms. Drawing on the Stimulus–Organism–Response (SOR) theoretical framework, this paper examines the paradox whereby individuals with higher SES exhibit more frequent environmental actions yet demonstrate lower willingness to pay (WTP)—a form of economic sacrifice. Using nationally representative data from the 2021 Chinese General Social Survey (CGSS), our structural equation modeling reveals that adulthood SES positively correlates with environmental values and behaviors but negatively correlates with WTP. This challenges the traditional linear assumption that greater willingness necessarily leads to greater action. Additionally, while childhood SES predicts adult SES, it shows no direct effect on environmental engagement. These findings highlight multidimensional pathways by which SES shape environmental actions, necessitating differentiated policy approaches to build a sustainable world. Full article

With the advancement of immersive technologies, metaverse museum exhibitions have become an increasingly important medium through which audiences access cultural content and experience artistic works. This study aims to identify the key factors influencing visitors’ processual experiences in metaverse museum exhibitions and to explore how these factors collectively contribute to the formation of satisfaction with the visiting experience. Adopting an interdisciplinary theoretical perspective, the study integrates the Experience Economy theory with the Stimulus–Organism–Response (SOR) model to construct a systematic theoretical framework. This framework reveals how exhibition-related stimuli affect visitors’ behavioral intentions through psychological response pathways. Specifically, perceived educational appeal, interactive entertainment, escapist experience, and perceived visual aesthetics are defined as stimulus variables, while psychological immersion, emotional trigger, and cognitive engagement are introduced as organismic variables to explain their effects on satisfaction with the visiting experience and social sharing intention as response variables. Based on 507 valid responses, Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for empirical analysis. The results indicate that interactive entertainment and escapist experience have significant positive effects on psychological responses, serving as key drivers of deep visitor engagement. Emotional Trigger acts as a significant mediator between exhibition stimuli and satisfaction with the visiting experience, which in turn significantly predicts social sharing intention. In contrast, perceived educational appeal and perceived visual aesthetics exhibit weaker impacts at the cognitive and behavioral levels. This study not only identifies these weakened pathways but also proposes optimization strategies grounded in experiential construction and cognitive synergy, offering guidance for enhancing the educational function and deep experiential design of metaverse exhibitions. The findings validate the applicability of the Experience Economy theory and the SOR model in metaverse cultural contexts and deepen our understanding of the psychological mechanisms underlying immersive cultural experiences. This study further provides a pathway for shifting exhibition design from a “content-oriented” to an “experience-driven” approach, offering theoretical and practical insights into enhancing audience engagement and cultural communication effectiveness in metaverse museums. Full article

This study applied the Stimulus–Organism–Response Theory to investigate the impact of sustainable destination management on perceived luxury service quality, taking into account the mediating role of perceived environmental responsibility and the moderating effect of tourist environmental awareness. Data were obtained from 541 tourists in Northern Cyprus, and the analysis was conducted using Herman’s single-factor test in SPSS version 23 and partial least squares structural equation modeling in SmartPLS version 4.1.1.2. The study’s results revealed a significant positive influence of sustainable destination management on both perceived luxury service quality and environmental responsibility. Furthermore, the study showed a significant positive relationship between perceived environmental responsibility and perceived luxury service quality. Additionally, tourist environmental consciousness was found to be an important influencing factor in perceived luxury service quality. The mediating role of perceived environmental responsibility was revealed to be a significant partial mediator between sustainable destination management and perceived luxury service quality pathways. Although environmental awareness revealed an insignificant moderating influence on the relationship between sustainable destination management and perceived luxury service quality, it indicated a negative significant moderating influence on the relationship between perceived environmental responsibility and perceived luxury service quality. The study highlights how assessments of luxury services are contingent upon perceived environmental responsibility through sustainable destination activities. Emphasizing both academic and management perspectives, it encourages future research to explore broader psychological and contextual factors. Therefore, it underscores the strategic necessity of sustainability in enhancing the luxury tourism experience. Full article

The aim of this study is to investigate how consumers’ cognitive and affective responses to web-based augmented reality affect their intention to continue to use augmented reality. The novelty of this study is the integration of the Stimulus–Organism–Response model with Technology Continuance Theory, allowing for an investigation of the relationships among the following critical variables: augmented reality (AR), utilitarian value, perceived risk, user satisfaction, attitude toward AR, and continuance intention. The study sample consisted of 452 participants. Data were analyzed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) approach. The results indicate significant direct relationships between all variables. Furthermore, this study demonstrated an indirect relationship between AR and continuance intention, mediated sequentially by cognitive responses, namely, utilitarian value and perceived risk, and affective responses, including user satisfaction and attitude toward AR. Consequently, it was revealed that all indirect relationships were significant, except for the pathways from AR to continuance intention involving perceived risk. This study presents key insights for online retailers, demonstrating how the integration of AR technology into conventional online shopping platforms can optimize user experiences by enhancing the cognitive and affective responses of customers. This, in turn, strengthens their intention to continue using AR technology, fostering sustained engagement and the long-term adoption of AR technology. Full article

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

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