Search Results (1,599)

China’s urbanization has witnessed a significant influx of people pursuing better economic prospects. However, as digitization becomes increasingly integrated into urban living, it raises the bar for migrants’ digital literacy, and creates adaptation challenges for rural migrants. Despite a few pieces of literature having analyzed how micro-level economic and social characteristics of rural migrants affect their urban living quality in inflow areas, few studies have examined the influencing factors of migrants’ urban living quality from the perspective of digitization level of the inflow areas, which is a nonnegligible environmental factors in modern China. Based on the data of China Migrants Dynamic Survey (CMDS), this paper empirically examines how urban financial digitization in inflows affects rural migrants’ urban living quality. The impact of financial digitalization on urban living quality of rural migrants presents a significantly positive “U” shape. That is, with the improvement of financial digitalization, rural migrants’ urban living quality in inflow areas would first decline and then increase. The mechanism study shows that the financial digitization affects rural migrants’ living quality through urban settlement intention as intermediary variable. Furthermore, heterogeneity across education attainment, migration scope and duration were investigated. The results of the study provide empirical evidence on how to make rural migrants obtain better life experience with the development of urban digitization. Full article

The sustainable development of our society faces significant challenges, including the need for environmentally friendly energy storage devices. Our work is concerned with the conversion of Mo-based recycled industrial waste into active nanocatalysts for energy storage applications. To reach this goal, we employed hydrothermal synthesis, a low-cost and temperature-scalable method. The proposed synthesis produces MoO₃ nanobelts (50–200 nm in width and 2–5 µm in length) with a high yield, about 74%. The synthesized nanostructures were characterized in 1 M KOH and 1 M NH₄OH, as alkaline environments are a promising choice for the development of eco-friendly devices. To investigate the material’s behaviour cyclic voltammetry (CV), galvanostatic charge–discharge (GCD), and electrochemical impedance spectroscopy (EIS) measurements were carried out. From CV curves, it was possible to evaluate the specific capacitance values of 290 and 100 Fg⁻¹ at 5 mVs⁻¹ in 1 M KOH and 1 M NH₄OH, respectively. Also, GCD was employed to evaluate the specific capacitance of the material, resulting in 75 and 60 Fg⁻¹ in 1 M KOH and 1 M NH₄OH, respectively. CV and GCD analyses revealed that MoO₃ nanobelts act as two different types of energy storage devices: supercapacitors and pseudocapacitors. Additionally, EIS allowed us to distinguish between the resistive and capacitive behaviour contributions depending on the electrolyte. Furthermore, it provided a comprehensive electrochemical characterization in different alkaline electrolytes, with the intention of conjugating waste management and sustainable energy storage device production. Full article

The main objective of this paper is to examine the factors influencing investor intention to adopt robo-advisory services in Saudi Arabia, with a particular focus on sustainability and platform interface quality (PIQ) within a socio-technical framework. Drawing on the Diffusion of Innovation (DOI), Technology Acceptance Model (TAM), Value-Based Adoption Model (VAM), and Trust theory, the research integrates constructs such as Knowledge about Robo-Advisors (KRA), PIQ, Green Perceived Value (GPV), and Perceived Trust (PT). Data were collected through a structured questionnaire targeting financially active individuals, with 387 valid responses analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings reveal that KRA significantly influences Intention to Use Robo-Advisors (IURA) both directly and indirectly, through GPV and Relative Advantage (RA), with only marginal support observed for Perceived Usefulness (PU). PIQ strongly influences perceived ease of use (PEOU) and PU, contributing to IURA, while PT significantly moderates the effects of KRA and PIQ. Multi-group analysis (MGA) further highlights heterogeneity across age, education, and investment groups, underscoring the contextual nature of adoption. The study highlights the critical role of PT, PIQ, and GPV alignment in investor decision-making when engaging with robo-advisory platforms. It offers theoretical contributions by extending traditional adoption models through the inclusion of green value and interface quality, and practical implications for FinTech developers and policymakers aiming to build inclusive, trustworthy, and environmentally aligned robo-advisory platforms. Full article

As a part of sustainable transportation, robotaxis have been rapidly developing around the world because of their advantages in energy saving, improving road safety, and enhancing environmental sustainability, thereby providing consumers with sustainable transportation services. In China, as the number of pilot cities increases, more people are using robotaxi services. This study investigates the factors that affect consumer satisfaction and behavioral intentions after using a robotaxi, aiming to provide data to guide market strategy decisions. To do this, the value-based adoption model was extended and modified by including the technology readiness variable to examine satisfaction, intention to reuse, and electronic word-of-mouth (e-WOM) intentions. Using 425 valid responses, structural equation modeling (SEM) and multi-group analysis were carried out with AMOS 26.0. The results indicate that perceived usefulness, enjoyment, optimism, and innovativeness positively influence service satisfaction, whereas perceived risk and discomfort have negative effects. Consumer satisfaction positively affects both intention to reuse and e-WOM intention. Additionally, uncertainty avoidance shows a moderating effect between satisfaction and intention to reuse. Full article

The promise of sustainability of ecotourism relies on comprehending the psychological mechanism that converts experience into post-visit environmental concern. This research formulates and examines a model that connects three antecedents—Perceived Trip Quality (PTQ), Aesthetic/Spiritual Experience (ASE), and Environmental Concern (EC)—with Responsible Post-Visit Behavior (RPB) through two mediators: Tourist Satisfaction (SAT) and Personal Norms (PN). Structural equation modeling based on a quantitative, cross-sectional design examined survey responses from 585 Greek ecotourists. All three precursors meaningfully predicted RPB, directly and indirectly through SAT and PN, with partial mediation on all but the direct pathway. Mediation effects also named PN a stronger channel than SAT, particularly in converting affective and moral involvement into stable intentions. Multi-group tests for gender, age, education, environmental orientation, and previous ecotourism experience revealed significant differences; younger, inexperienced, and high-orientation tourists were more sensitive to normative and affective mechanisms. The research develops environmental and tourism psychology by combining value-based and experience-based routes to post-visit action. Practical recommendations are made to policymakers, educators, and operators to develop transformational, norm-activating experiences. Full article

With the rising urgency of global environmental challenges, understanding the mechanisms behind green consumption has become increasingly vital. This study investigates how green product information disclosure influences consumers’ green consumption intention, focusing on new energy vehicle (NEV) consumers in China. Grounded in the Theory of Planned Behavior (TPB), the study introduces environmental concern as a mediator and brand reputation as a moderator to enhance the explanatory power of the model. A total of 527 valid questionnaires were collected on-site from NEV exhibitions in Beijing. Structural equation modeling and PROCESS macro analysis were employed to test the research hypotheses. The results indicate that environmental information disclosure significantly promotes green consumption intention, both directly and indirectly, through the mediating effects of green consumption attitude, subjective norms, and environmental concern. However, the direct effect of information communication channels was not statistically significant. Moreover, brand reputation positively moderates the relationship between environmental information disclosure and green consumption intention. These findings provide new theoretical insights by extending TPB with contextual and psychological variables and offer practical implications for NEV manufacturers and marketers. Specifically, companies are encouraged to prioritize transparent and credible environmental information disclosure, strengthen brand reputation, and consider consumers’ attitudes and social norms when designing green marketing strategies. Full article

This study investigates the factors influencing green purchase behavior in emerging economies, focusing on Indonesian consumers’ preferences for organic food products. While sustainability awareness is growing globally, limited research has examined how environmental knowledge and trust interact with marketing efforts to shape green purchasing decisions in developing market contexts like Indonesia. The research model incorporates five constructs: environmental knowledge (awareness of ecological issues), green trust (confidence in environmental claims), green marketing mix (eco-oriented strategies for product, price, place, and promotion), green purchase intention (likelihood of buying eco-friendly products), and green purchase behavior (actual sustainable buying decisions). Data from 211 valid respondents were analyzed using structural equation modeling. The results indicate that environmental knowledge directly influences green trust and the green marketing mix but not green purchase intention or behavior. Instead, it affects behavior indirectly through trust and intention. Contrary to expectations, green trust does not influence the green marketing mix, suggesting it may operate independently of marketing strategies. Similarly, the green marketing mix does not significantly influence green purchase intention or behavior, suggesting that marketing strategies alone may be insufficient in driving sustainable consumer choices. These findings highlight the important role of environmental knowledge in fostering consumer trust and indirectly guiding green purchasing behavior in emerging markets. By promoting sustainable consumption through knowledge and trust, this study offers insights into consumer behavior as a pathway to advancing planetary health. This study advances the Theory of Planned Behavior by integrating green trust and the green marketing mix to explain how trust and economic factors shape green purchasing behavior. Practical implications suggest that businesses should adopt targeted green marketing strategies, such as educational campaigns, eco-labeling, or certifications, to enhance environmental awareness, build consumer trust, and encourage sustainable purchasing decisions. This study contributes to the literature by examining how environmental knowledge indirectly influences green purchase behavior through the mediation of trust and intention within the context of an emerging market. Full article

Amid globalization, tourism has increasingly emphasized health and well-being through sustainable, wellness-oriented services. Thailand has been recognized as having strong potential to become a regional hub for wellness tourism, supported by its efficient healthcare system and diverse attractions. This study aims to identify key indicators of wellness tourism based on holistic health principles and to examine their relationships with tourists’ intentions to use wellness services. Data were collected from 1200 wellness tourists in Thailand through stratified random sampling and analyzed using Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM). The results revealed six significant wellness factors, with Environmental Wellness being the most influential. In addition, gender, income, and occupation were found to positively affect wellness tourism behavior. Attitude and subjective norms also significantly influenced tourists’ intentions to engage in wellness services. This study provides policy recommendations to assist tourism and public health agencies in promoting wellness tourism and enhancing health-focused travel experiences. Full article

This study investigates how perceptual and emotional factors—perceived naturalness, aesthetic pleasure, environmental concern, and disgust—shape consumer acceptance of a human-hair-derived bio-fabricated textile product (a unisex cardholder). In a scenario-based online survey, participants viewed an AI-generated image accompanied by a short vignette. A purposive sample of young adults in Istanbul with prior experience purchasing sustainable textile products was recruited and screened. All constructs were measured with standard Likert-type scales and translated into Turkish using a two-way back-translation procedure. Data were analyzed with PLS-SEM. Model fit was acceptable, and the model accounted for a substantial share of the variance in adoption intention. Aesthetic pleasure showed a clear positive influence on adoption intention, whereas perceived naturalness did not display a direct effect. Environmental concern modestly strengthened the link between naturalness and adoption. Disgust emerged as the dominant moderator, fully conditioning the naturalness pathway and reducing—but not eliminating—the effect of aesthetic pleasure. Together, these findings indicate that perceived naturalness, aesthetic pleasure, environmental concern, and disgust jointly shape adoption intention and that practical emphasis should be placed on reducing feelings of disgust while enhancing aesthetic appeal. Full article

The integration of farm-raised foods plays a pivotal role in elevating the attractiveness and long-term sustainability of agritourism destinations. These locally sourced culinary offerings not only provide economic opportunities and environmental benefits but also enhance the authenticity of the visitor experience, contributing to the vitality and resilience of rural communities. This study explores how three quality dimensions of farm-raised foods (atmospherics, service quality, food quality) shape visitors’ behavioral intentions. Furthermore, it examines the mediating role of visitors’ perceptions of farm-raised foods in this relationship. Drawing on data collected from 615 agritourism visitors using a quantitative approach and a structured survey instrument, the results indicate that all three quality dimensions significantly influence behavioral intentions, highlighting the importance of how the farm-raised foods are presented and interpreted. Furthermore, visitors’ perceptions of farm-raised foods significantly mediated the relationship between food quality and behavioral intentions. The findings underscore the need for agritourism operators to create immersive, high-quality food experiences that connect guests to local agriculture and culture. By emphasizing these dimensions, destination managers can enhance visitor satisfaction, build brand loyalty, and promote more sustainable rural tourism development. This research provides practical insights for strengthening agritourism strategies while supporting broader goals of sustainability and community enrichment. Full article

Reliable and fast communication between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) is essential for effective coordination in agricultural settings, particularly when human involvement is part of the system. This study systematically compares two communication architectures representing centralized and decentralized communication frameworks: (a) MAVLink (decentralized) and (b) Farm Management Information System (FMIS) (centralized). Field experiments were conducted in both empty field and orchard environments, using a rotary UAV for worker detection and a UGV responding to intent signaled through color-coded hats. Across 120 trials, the system performance was assessed in terms of communication reliability, latency, energy consumption, and responsiveness. FMIS consistently demonstrated higher message delivery success rates (97% in both environments) than MAVLink (83% in the empty field and 70% in the orchard). However, it resulted in higher UGV resource usage. Conversely, MAVLink achieved reduced UGV power draw and lower latency, but it was more affected by obstructed settings and also resulted in increased UAV battery consumption. In conclusion, MAVLink is suitable for time-sensitive operations that require rapid feedback, while FMIS is better suited for tasks that demand reliable communication in complex agricultural environments. Consequently, the selection between MAVLink and FMIS should be guided by the specific mission goals and environmental conditions. Full article

To promote the sustainable development of urban smart transportation systems, this study constructs a structural equation model (SEM) based on the Technology Acceptance Model (TAM), incorporating extended variables including social influence, environmental awareness, privacy concerns, and service similarity to investigate users’ behavioral intentions toward Mobility as a Service (MaaS). The research systematically examines key factors influencing user adoption behavior and their underlying mechanisms, providing theoretical foundations and practical guidance for optimizing MaaS system design and policy making. Using SEM as the core analytical framework, this study employs mediation analysis, moderation analysis, and multigroup comparison to empirically examine the direct and indirect effects among variables, as well as group heterogeneity. Data were collected through an online questionnaire survey, with Analysis of Variance (ANOVA) applied to identify the differential impacts of demographic and travel behavior characteristics on users’ intentions and related psychological constructs, thereby supporting precise user segmentation and evidence-based policy interventions. Key findings include the following: (1) Social influence, ease of use, and environmental awareness boost MaaS adoption, while privacy concerns hinder it. (2) Freelancers/self-employed weaken the positive effects of usefulness, ease of use, and social influence on adoption. (3) Service similarity and ease of use effects vary significantly between single-mode and multimodal commuters. The findings extend the theoretical boundaries of TAM and provide both theoretical and practical support for the development of sustainable urban transportation systems. Full article

Generative artificial intelligence (GenAI) is advancing rapidly and is increasingly integrated into educational settings. How to effectively leverage GenAI to support instructional design has thus become a critical issue in teacher education. While existing studies have validated the technical potential and functional value of GenAI in instructional design, there remains a notable gap in qualitative investigations into pre-service teachers’ subjective willingness to adopt GenAI and its underlying influencing factors. To address this gap, this present study employed grounded theory to explore the factors that shape pre-service teachers’ intention to use GenAI for instructional design. Semi-structured interviews were conducted with 23 pre-service teachers from Shaanxi Normal University, and the data were analyzed through open coding, axial coding, and selective coding. A theoretical model comprising four major dimensions was developed as follows: (1) technical factors (relative advantage and ease of use), (2) environmental factors (social impact, opinion leader, and facilitating conditions), (3) usage characteristics (purpose of use and method of use), and (4) psychological factors (trust, perceived risk, and a professional self-concept). The findings reveal that pre-service teachers’ intention to use GenAI is not shaped by a single factor but is instead the result of dynamic and interrelated interactions among the four dimensions. This study extends current technology acceptance theories and offers practical insights for the effective integration and promotion of GenAI in instructional design. Full article

This study examines the relationships among motivation, satisfaction, place attachment, and revisit intention in the context of ecotourism in the Ayabaca Moorlands, a biodiverse Andean ecosystem of high cultural significance in northern Peru. Using a non-experimental quantitative design, data were collected from 350 national and international visitors and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that while motivation does not directly influence place attachment, it significantly affects satisfaction and revisit intention. Results provide empirical evidence that satisfying experiences foster enduring emotional bonds with environmentally sensitive destinations. The study underscores the importance of tourism management strategies that cultivate emotional connections and visitor loyalty while integrating cultural and contextual factors to ensure the long-term sustainability of high-mountain ecotourism. Full article

As rural populations age at an accelerating pace, the role of public spaces in enhancing the quality of life and promoting social engagement among older adults has become increasingly important. However, a significant cognitive gap persists between the actual needs of elderly users and the intentions of designers, often resulting in suboptimal design outcomes and underutilized spaces. This study centers on the concept of user–designer cognitive synergy, aiming to establish a systematic framework to bridge this cognitive divide and improve the design quality of age-friendly rural public spaces. Employing Grounded Theory, the FKANO model, and the DEMATEL method, this study systematically elicited user needs, classified their attributes, and mapped causal relations to determine priority drivers. Applied in a representative rural case, the framework identified Environmental and Operations Management and Spatial Accessibility as the most critical needs, while Smart-Friendliness and Safety Organization were also shown to play significant roles. These findings directly informed targeted spatial strategies such as barrier-free circulation, robust nighttime safety systems, intergenerational hubs, and an operations backbone. Post-occupancy evaluation confirmed high satisfaction across safety, accessibility, functionality, social participation, and environmental comfort. The results demonstrate the framework’s effectiveness in translating complex needs into actionable design strategies, offering both theoretical insights and practical guidance for age-friendly rural public space development. Full article