Search Results (780)

The rapid advancement of Advanced Driver Assistance Systems (ADAS) is reshaping the future of mobility by offering potential improvements in safety, efficiency, and driving experience, yet consumer acceptance remains uneven across regions. This study addresses the gap in knowledge and trust by examining how Hungarian drivers, as part of the Central and Eastern European context, perceive and adopt ADAS technologies. To achieve this, we conducted two expert in-depth interviews to refine the research instrument, followed by an online survey of 179 drivers. Using k-means cluster analysis, we identified three distinct consumer segments: Conservative Controllers, who demonstrate low levels of trust and willingness to adopt ADAS; Cautious Adopters, who weigh costs and benefits carefully; and Pragmatic Innovators, who are open to experimentation and display the highest acceptance and willingness to pay. The results reveal that awareness and familiarity strongly influence acceptance, highlighting the role of consumer education and transparent communication in shaping adoption. The findings suggest that manufacturers, driving schools, and policymakers can accelerate the diffusion of ADAS by developing targeted strategies tailored to different consumer groups. Strengthening knowledge and trust in these systems will not only support their market success but also contribute to safer, more sustainable transportation. Full article

In the context of economic globalization, robust corporate social responsibility (CSR) serves as a critical source of legitimacy and competitive advantage for multinational enterprises (MNEs). However, institutional and competitive disparities between host and home countries frequently lead overseas subsidiaries of MNEs to deviate from parent company standards by substituting symbolic for substantive CSR practices and thereby creating potential threats to MNEs’ group-wide reputation. Although external stakeholder monitoring is widely recognized, most studies adopt static, dyadic perspectives and thus rarely examine the dynamic interplay between external monitoring and MNEs’ CSR governance. To address this gap, this study constructs a tripartite evolutionary game model involving the parent company, overseas subsidiaries, and external stakeholders, systematically analyzes the evolutionary pathways and the stability of their strategic interactions and uses numerical simulations to identify the conditions for system equilibriums and the influence of key parameters. The findings demonstrate that moderate incentives and penalties from the parent company and active monitoring by external stakeholders significantly promote overseas subsidiaries’ adoption of substantive CSR. This equilibrium becomes more stable when the benefits of substantive CSR increase or its costs decrease for overseas subsidiaries. However, excessive incentive expenditures may weaken the parent company’s willingness to implement strict supervision. Furthermore, information synergies and collaborative governance between the parent company and external stakeholders reduce cross-border supervision and coordination costs, thereby increasing the likelihood of an equilibrium with strict supervision and substantive CSR. By moving beyond conventional static and binary analytical frameworks, this study proposes governance pathways, including optimizing incentive mechanisms, strengthening external stakeholder monitoring, and fostering information synergies, thereby offering new theoretical perspectives and managerial implications for understanding the evolution of CSR behavior in MNEs. Full article

Background/Objectives: Interest in alternatives to animal-derived products has gained momentum, driven by health, environmental, and ethical concerns. However, consumer interest in plant-based meat alternatives (PBMAs) remains highly heterogeneous. This study employs the core dimensions of the Food-Related Lifestyle (FRL) framework for consumer segmentation to deepen understanding of PBMA adoption in a meat-centric context such as Poland, and to derive segment-specific recommendations that support the transition toward plant-based diets. Methods: A cross-sectional survey was conducted among a representative sample of Polish adults (n = 1200). Consumer segmentation was performed using a two-step cluster analysis based on the three FRL dimensions—food involvement, innovativeness, and responsibility. Results: Four distinct consumer clusters emerged, differing significantly across all FRL dimensions (p < 0.001). Cluster 1, Traditionalists (18.5%), demonstrated high food involvement but the lowest innovativeness, showing the highest proportion of non-buyers and strong environmental scepticism. Cluster 2, Conscious Food Enthusiasts (24.6%), demonstrated the highest scores across all FRL dimensions, reported the most frequent PBMA purchases, and showed a strong sustainability orientation combined with a pronounced appreciation for sensory quality and eating enjoyment. Cluster 3, Moderates (38.8%) occupied intermediate positions exhibiting moderate PBMA purchasing frequency but expressing concern about food waste. Cluster 4, Careless Food Lovers (18.2%, n = 218), showed high food involvement and innovativeness, but the lowest responsibility, characterised by pronounced environmental scepticism. Conclusions: The study shows that consumer segments with similar levels of food involvement differ in their perceptions, beliefs, and willingness to adopt PBMAs, primarily according to their environmental orientation. These findings highlight that a strong interest in food alone does not translate into acceptance of plant-based alternatives unless accompanied by sustainability-oriented values. Overall, the results offer practical guidance for designing marketing, product development, and policy initiatives tailored to distinct consumer profiles, supporting the transition toward more plant-based dietary patterns. Full article

This research examines the relationships among economic value assessment, managerial perspectives, adoption willingness, and long-term AI utilization among organizational leaders in Peru. Using a quantitative cross-sectional design with covariance-based statistical analysis, data were collected from 390 management personnel (58.72% male, 41.28% female) representing diverse enterprises in northern Peru. Four hypotheses were evaluated concerning the effects of price–value on intention to use, attitude toward AI on intention to use, price–value on attitude toward AI, and intention to use on sustainable AI implementation. Results from partial-least-squares structural equation modeling showed significant direct effects of price–value on both intentions to use and attitudes toward AI, with attitudes also significantly influencing intention to use. The model exhibited exceptional explanatory power: price–value and attitudes explained 89.2% of the variance in intention to use, while intention to use accounted for 85.1% of the variance in sustainable AI use. These findings indicate that both economic considerations and psychological factors are critical for advancing sustainable AI adoption among business managers. Consequently, integrating price–value analyses and attitude-development components into AI implementation strategies is supported to enhance technology adoption success in business contexts. Full article

We surveyed 297 STEM undergraduates at a single English-medium Sino–UK joint institution to document perceptions of AI chatbots for learning. Students reported high willingness to adopt AI chatbots (78%; 95% CI: 73.1–82.4) alongside concerns about over-reliance (67%; 95% CI: 61.4–72.1), content quality (52%; 95% CI: 46.2–57.5), and reduced human interaction (42%; 95% CI: 36.5–47.8). Over half (52%; 95% CI: 46.3–57.7) requested language/terminology support features, whereas only 16.8% reported language-related barriers. We attempted exploratory factor analysis and k-means clustering, but neither met the inclusion criteria; therefore, we report item-level frequencies only. The findings are descriptive and not generalisable (53% first-year, 80% male convenience sample). These patterns generate testable hypotheses about verification scaffolds, language support utility, and human–AI balance that warrant investigation through controlled studies. Full article

Climate change and environmental degradation pose growing threats to health. Despite increasing recognition of these risks, climate-related education and counseling are rarely incorporated into adult inpatient care. A survey-based study was conducted with 250 adult inpatients on the medicine services at Cooper University Health Care (New Jersey) and Maine Medical Center (Maine). Patients received a standardized 30-s educational statement from their physician on the health impacts of air pollution and extreme heat, with introduction to two smartphone applications on air quality and heat conditions. Survey items evaluated patients’ prior awareness of environmental health risks, willingness to use digital monitoring tools, and perceived barriers to use. Descriptive statistics and content analysis were used for data interpretation. Overall, 84% of participants reported awareness of environmental threats to health, indicating high baseline recognition. However, only 50% expressed willingness to adopt smartphone apps as protective tools with barriers including lack of smartphone access, unfamiliarity with technology, and concerns about utility during hospitalization. Twenty-three percent of participants in Maine did not own a smartphone, as compared with 7% in NJ. Despite less smartphone ownership in Maine compared to NJ, participants showed similar willingness to use the suggested apps for monitoring environmental conditions (53% vs. 49.3%). Responses suggested that while patients generally acknowledge climate-related health risks, enthusiasm for technological solutions varies considerably, especially among older and underserved populations. This study highlights a critical gap between awareness of climate health risks and the adoption of digital health tools for self-protection. While brief inpatient education may increase recognition, technology-based interventions alone may not reach all patient groups. Future strategies should focus on accessible, low-barrier methods of environmental health education in clinical care, including integration into inpatient counseling and discharge planning. Addressing technology access gaps and tailoring resources to diverse populations will be essential for advancing climate-related patient education in healthcare settings. Full article

This study focuses on highway service areas. Building upon prior research that identified key influencing factors through surveys and ISM–MICMAC analysis, it constructs a tripartite evolutionary game model involving the government, service area operators, and carbon reduction technology providers based on stakeholder theory. Combined with MATLAB simulations, the model reveals the dynamic patterns of the carbon reduction system. The results indicate that government strategies exert the strongest influence on the system and catalyze the other two parties, followed by service area operators. Carbon reduction technology providers adopt a more cautious stance in decision-making. Government actions shape system evolution through a “cost-benefit-incentive” triple mechanism, with its strategies exhibiting significant spillover effects on other actors. Enterprise behavior is markedly influenced by Xinjiang’s regional characteristics, where the core barriers to corporate carbon reduction lie in the costs of proactive equipment and technological investments. The willingness of technology providers to cooperate primarily depends on two drivers: incremental baseline benefits and enhanced economies of scale. The core trade-off in government decision-making lies between the cost of strong regulation (Cg1) and the cost of environmental governance under weak regulation (Cg2). An increase in Cg1 prolongs the government’s convergence time by 233.3% and indirectly suppresses the willingness of enterprises and technology providers due to weakened subsidy capacity. Enterprises are relatively sensitive to the investment costs of carbon reduction equipment and technology, with convergence time extending by 120%. Technology providers are highly sensitive to incremental baseline returns (Rt), with stabilization time extending by 500%. Compared to existing research, this model quantitatively reveals the “cost-benefit-incentive” triple transmission mechanism for carbon reduction coordination in “grid-end” regions, identifying key parameters for strategic shifts among stakeholders. Based on this, corresponding policy recommendations are provided for all three parties, offering precise and actionable directions for the sustainable advancement of carbon reduction efforts in service areas. The research conclusions can provide a replicable collaborative framework for decarbonizing transportation infra-structure in grid-end regions with high clean energy endowments. Full article

Objective: This study aimed to explore the barriers to and factors influencing the adoption of smart healthcare among Chinese patients with cardiovascular disease (CVD) and their caregivers with medium or low levels of self-care or caregiving ability. Methods: Semi-structured interviews were conducted with fourteen patients with CVD and nine caregivers to determine their needs and suggestions regarding the adoption of smart healthcare in Suzhou, Jiangsu Province, China. Results: The interview data were analyzed using Colaizzi’s seven steps. Two major themes and eleven subthemes were extracted, including facilitating factors (motivation to use, learning and interactive engagement, knowledge translation, and psychological identity) and obstacles (insufficient ease of operation, risk to personal privacy, ambivalence about paying for knowledge, fear of physical and mental injury, mistrust of implementation personnel, and technical or functional limitations of equipment) to the adoption of smart healthcare. Conclusions: Our findings suggest that before implementing smart healthcare interventions for patients with CVD and their caregivers, it is necessary to fully assess their willingness; push precise content based on their learning, interaction, and psychological needs; and address the technical barriers and privacy protection to enhance their willingness to use the system. Full article

Public acceptance remains a critical barrier to the adoption of genetically modified (GM) foods. This study investigates whether communication strategies that establish different forms of technological legitimacy, specifically regulative, normative, and cognitive legitimacy, can effectively overcome this barrier. Using the contingent valuation method (CVM) with a nationally representative sample of 1194 individuals, this study examined the effect of communication strategies on Chinese consumers’ willingness to pay for GM soybean oil. The results revealed a striking asymmetry. Information emphasizing the safety regulations of GM foods, which aims to build regulative legitimacy, significantly reduced WTP, likely by activating consumer anxieties. Conversely, narratives highlighting technology’s role in ensuring national food security, which builds normative legitimacy, effectively increased WTP for domestic GM oil. Information about the advanced level of GM technology, intended to establish cognitive legitimacy, had no significant impact. The effects were heterogeneous. Females and less knowledgeable consumers were most sensitive to safety messages. Our findings demonstrate that building legitimacy through normative appeals to collective welfare is more effective than relying on regulatory assurances. This study provides a legitimacy-based framework for understanding public perception and offers policymakers crucial insights for communicating about controversial agricultural technologies. Full article

This study investigated Cenchrus purpureus in the southern part of the Gaoligong Mountains and quantified its invasion risk using an integrated approach. We combined the Drivers–Pressures–State–Impacts–Responses (DPSIR) model, Analytic Hierarchy Process (AHP), Structural Equation Modeling (SEM), and Traditional Ecological Knowledge (TEK). We adopted non-random sampling techniques to conduct a survey on the cognition, hazards, utilization and management of C. purpureus among 402 respondents from 25 villages. Our results classify C. purpureus as a medium-risk species (Level II). We identified a central socio-ecological dilemma: while 36.1% of communities use it for fodder, 54% report that it causes soil degradation, signaling potential long-term agricultural losses. SEM analysis confirmed that the willingness to manage the invasion is directly influenced by these usage patterns and risk perceptions. The traditional ecological knowledge of Cenchrus purpureus was highly consistent with scientific assessment, validating its use as an early warning indicator. Therefore, our study validates a multidisciplinary framework that integrates models (DPSIR, AHP, SEM) with traditional knowledge for a holistic assessment of C. purpureus invasion. This approach offers a replicable strategy for ecosystem management in global biodiversity hotspots in the mountainous regions. Full article

In the field of second language acquisition, there is a growing recognition of the importance of emotional factors, particularly emotional intelligence (EI), in influencing learners’ willingness to communicate (WTC) in a second language (L2). However, previous studies have predominantly adopted a variable-centered approach, often overlooking individual heterogeneity and the mediating role of foreign language enjoyment (FLE) in the relationship between EI and WTC. To address these gaps, this study integrated variable-centered and person-centered approaches to examine 1111 students from Chinese private colleges, representing a distinct educational ecology. Questionnaires were used to measure EI, FLE, and L2 WTC, followed by mediation analysis and latent profile analysis (LPA). Results indicated that EI positively predicted WTC (β = 0.217, p < 0.001), with FLE partially mediating this relationship (indirect β = 0.135, p < 0.001), accounting for 38.3% of the total effect (β = 0.352, p < 0.001). LPA identified three learner profiles—“High EI–High Enjoyment,” “Moderate EI–Moderate Enjoyment,” and “Low EI–Low Enjoyment.” These profiles differed significantly in L2 WTC (p < 0.005), although the effect size was small (η² = 0.002). The findings revealed that learners with higher emotional intelligence and enjoyment tended to report greater willingness to communicate. However, the overall effect was small, suggesting that emotional factors may serve as facilitators rather than decisive determinants of L2 communication. Despite the modest magnitude of these differences, the pattern highlights subtle yet meaningful emotional dynamics underlying L2 communication behavior. By integrating person- and variable-centered perspectives, this study contributes methodological refinement and provides cautiously framed pedagogical implications for fostering emotional engagement and communicative willingness among diverse L2 learners. Full article

The polar regions face growing threats from climate change, making sustainable practices in polar cruise tourism essential. This study examines the role of marketing in promoting sustainability by analysing cruise operators’ websites (n = 50) and testing alternative advertising strategies. Survey findings (n = 790) highlight that well-crafted sustainability advertisements can reduce interest in close-up wildlife interactions, increase willingness to pay for conservation-focused trips, and promote the adoption of sustainable technologies in travel. Content analysis shows that award-winning operators emphasise conservation, sustainability, and community engagement through distinctive digital traits. While traditional adverts were preferred for their adventure focus, sustainability adverts resonated with those valuing education. This study provides valuable insights for operators, policymakers, and researchers dedicated to advancing sustainable tourism in the polar regions. Full article

The rapid urban growth and proliferation of private vehicles in Pakistan have intensified challenges, such as traffic congestion, longer travel times, environmental harm, road safety risks, and adverse public health outcomes. Despite global emphasis on sustainable modes of transportation, these options remain underutilized and receive limited policy attention in Pakistan. This study investigates the barriers hindering the adoption of active and public transport in Islamabad and Rawalpindi and evaluates the role of technological factors in influencing commuters’ willingness to use public transit. Data were collected through a structured questionnaire survey and analyzed using descriptive statistics, exploratory and confirmatory factor analyses, and structural equation modeling. The findings reveal varying commuter preferences across different modes and demonstrate a higher willingness to use active modes of travel when favorable conditions are available. The dominant barriers to active travel include long travel distances and durations, insufficient infrastructure, social stigma, and a lack of cycle storage facilities. For public transport, the major obstacles identified are overcrowding during peak hours, poor accessibility, excessive travel times, and a lack of comfort and convenience. The study also highlights the potential technological interventions, such as real-time travel planning apps, secure parking space provision, and smart ticketing systems, to improve the attractiveness and usability of public transport. Overall, the study provides valuable insights for policymakers seeking to develop evidence-based strategies that encourage the use of sustainable transport options. By addressing both infrastructural and perceptual barriers, such interventions can foster a transition towards more sustainable urban mobility systems in Pakistan. Full article

Antimicrobial resistance (AMR) is a significant global health concern, and the use of antibiotics in livestock, including swine production, is a major contributor. Vaccines offer a promising alternative for controlling bacterial infections in pigs, but their widespread use is often hindered by biological, economic, and practical challenges. This study surveyed U.S. swine veterinarians to identify which bacterial diseases require better vaccines and to understand the barriers to their adoption. Nineteen veterinarians with an average of 24.7 years of experience were surveyed across 21 states. The results identified Streptococcus suis, Escherichia coli, Mycoplasma hyopneumoniae, and Glaesserella parasuis as the most critical pathogens needing improved vaccines. Veterinarians anticipated significant improvements in vaccine efficacy for S. suis and E. coli during the nursery stage and expressed a willingness to pay 1.8 and 1.9 times their current prices, respectively. While expectations for M. hyo vaccine improvements were not significant, veterinarians expressed the highest willingness to pay (4.2 times the current price), citing the potential for disease eradication. This research highlights that developing effective vaccines for S. suis and E. coli should be the most urgent priority due to their significant economic impact and rising AMR concerns. However, M. hyo vaccine development holds the most economic potential due to the possibility of eradication. Our research provides a roadmap for future efforts to combat AMR in the swine industry, emphasizing key economic, policy, and educational considerations for successful vaccine implementation. Full article

Circular economy learning fosters competencies in sustainable resource management and environmental protection, which have been recognized by the OECD (Organization for Economic Cooperation and Development) to be essential for cross-curricular training and higher education. However, implementing gamification techniques through mobile applications remains challenging, as their effectiveness depends on students’ willingness to adopt them. This study evaluated acceptance of a gamified mobile application for circular economy learning among university students in Peru, analyzing the relationships between the constructs of the Technology Acceptance Model (TAM). A quantitative correlational case study involving 76 students was conducted. The results showed a moderate-to-high acceptance rate of 73.69%, with significant correlations identified between the TAM constructs. This study contributes to closing gaps in empirical evidence on the acceptance of technology for sustainability education in diverse contexts. Future studies should integrate generative artificial intelligence into gamified apps to deliver personalized feedback and employ learning analytics tools for progress tracking, supporting global efforts toward SGD 4 (Quality Education) and SDG 12 (Responsible Production and Consumption) for the transition to circular economies. Full article