Search Results (581)

This research investigates the factors influencing the behavioral intention and actual use of e-wallets among Generation Z by extending the UTAUT3 model to include personal innovativeness and perceived security. The study employs a quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 535 Generation Z e-wallet users between 15 January and 28 February 2026. The results reveal that traditional determinants such as performance expectancy, effort expectancy, facilitating conditions, and hedonic motivation do not significantly influence behavioral intention in a mature digital environment. In contrast, social influence, price value, habit, personal innovativeness, and perceived security significantly shape users’ intentions. Furthermore, the findings indicate that behavioral intention fully mediates the relationship between personal innovativeness and perceived security with actual usage behavior. This suggests that although users may possess innovative tendencies and perceive strong security, these factors influence usage only through the formation of intention. The study also shows that Generation Z demonstrates a strong ability to manage financial activities independently within digital platforms, reflecting high levels of digital and financial literacy. At the same time, users remain highly aware of potential risks, particularly regarding data privacy and transaction security, which significantly affect their intention to adopt e-wallet services. Additionally, actual usage behavior is primarily driven by habit and behavioral intention, indicating routinized usage patterns. Overall, this study highlights the critical roles of trust, social influence, and behavioral reinforcement in explaining technology adoption among Generation Z. Full article

Understanding how consumers perceive the value of travel packages is essential for pricing and product design. Grounded in behavioral economics frameworks, such as Prospect Theory and Mental Accounting, this study analyses satisfaction across three progressive travel packages before and after explicit price disclosure, exploring multi-attribute service valuation and the moderating influence of traveller profiles. Using a quantitative approach with 387 higher education participants, expected satisfaction was measured through a two-phase price disclosure design. Inferential statistical analyses revealed that satisfaction levels decreased significantly for all packages once prices were revealed, with the sharpest decline occurring in the highly comprehensive, all-inclusive option, validating a psychological threshold of value saturation. Packages comprising only essential elements (flights, accommodation with breakfast and insurance) yielded the highest consistent post-price satisfaction, with these core structural components identified as the absolute most valued attributes. Findings suggest that explicit price disclosure acts as a negative moderator of expected satisfaction, triggering an immediate psychological pain of paying, particularly among independent travellers who exhibit higher price sensitivity and remain more analytical of bundled configurations than users of physical travel agencies. This study provides a framework for stakeholders to avoid over-bundling and optimize product efficiency. Furthermore, it contributes to academic discourse on generational consumer behaviour by highlighting how individual travel organization profiles within an emerging European cohort shape the perceived utility and fairness of tourism pricing. Full article

Traditional food systems are increasingly threatened by industrialised agri-food production based on standardised processes, economies of scale, and lower production costs. This transformation risks undermining not only the economic viability of artisanal producers but also the cultural heritage, pastoral knowledge, and territorial identities embedded in traditional foods. This study contributes to rural studies and food heritage research by examining whether consumers’ willingness to pay a premium for traditionally produced foods can sustain endangered rural production systems within competitive PDO markets. Focusing on Fiore Sardo PDO cheese, the study combines a Bertrand duopoly framework with the Theory of Planned Behaviour (TPB) to connect market competition, consumer beliefs, and support for traditional agri-food systems. Data from 1640 Italian consumers were analysed using structural equation modelling. The findings show that attitudes towards cultural preservation, social recognition of traditional production, and perceived support for shepherd communities significantly influence consumers’ willingness to purchase and pay premium prices for traditionally produced cheese. Consumers associate artisanal production not only with superior sensory quality and authenticity but also with the protection of cultural identity, traditional pastoral practices, and rural landscapes. By integrating behavioural and economic perspectives, the study demonstrates that willingness to pay operates as a market mechanism through which consumers actively contribute to the resilience of traditional food systems facing industrial competition. The study advances existing literature by showing how cultural values, behavioural intentions, and market dynamics jointly shape the economic sustainability of traditional foods. Full article

Formally stipulating rental terms in farmland transfer contracts is essential to safeguarding transacting parties’ rights, anchoring market price signals, and underpinning the rule-based governance of rural land markets. Drawing on survey data from 1496 rural households across three Chinese provinces, this study empirically examines how connection strength between transacting parties shapes the decision to formally stipulate rental terms in farmland transfer contracts. Baseline estimates show that greater connection strength is significantly and negatively associated with the probability of formal rental term stipulation, a pattern robust to alternative model specifications and variable operationalizations. Mechanism analysis reveals that stronger connections inhibit formal stipulation by concurrently heightening reputational constraints among parties suppressing demand for formal enforcement mechanisms and attenuating perceived transactional risk, which erodes the perceived value of the risk-bounding function that written clauses provide. Heterogeneity analysis further shows that this inhibitory effect is concentrated among ordinary farm household transfers and disappears among new-type agricultural business entities, where institutional rationality crowds out connection-based governance logic. Beyond its direct effect on contract formalization, greater connection strength indirectly undermines the price-anchoring function of written agreements, exposing realized rents to systematic connection-based discounting. These findings carry direct implications for the demand-side redesign of contract formalization policy and the development of county-level rental price guidance systems in rural China. Full article

Food waste presents a significant challenge to sustainable development, resulting in annual economic losses of more than USD 1 trillion. It contributes to 8–10% of global human-caused greenhouse gas emissions and accounts for nearly 30% of agricultural land use. Households are responsible for over half of this waste, with fruits and vegetables being the most frequently discarded items. This highlights the urgent need to promote sustainable consumption habits. This 2024 study surveyed a sample of 923 individuals who consume at least one of four categories: fresh fruits, fresh vegetables, processed fruits, or processed vegetables. It used cluster analysis to segment consumers based on the amount of food waste and fruit and vegetable losses. Three distinct segments were identified. Cluster 1 (Proactive & aware, 56%): Characterised by high environmental awareness (approximately 75%) and efficient food management skills, such as frequent shopping list preparation (48%), resulting in the lowest wastage levels. Cluster 2 (Convenient & situational, 38%): Driven by “convenience waste” mechanisms, where lack of time, poor portioning (44%), and a lack of culinary ideas lead to moderate waste levels despite mid-range awareness. Cluster 3 (Disorganised & wasteful, 6%): Reveals a significant attitude–behaviour gap; despite declaring a desire to limit waste, this group reported the highest perceived levels of waste. This is partly explained by the reverse sunk cost fallacy, where produce from own cultivation is devalued due to the absence of a market price. The findings emphasise that food waste is not a monolithic phenomenon but results from diverse behavioural deficits. The results provide a foundation for tailored behavioural interventions (nudges) and educational strategies to enhance food management skills and contribute to the achievement of sustainable development goals (SDGs). Full article

This study deciphers the impacts of urban forests and green spaces (UFGSs) on housing prices through a systematic review of 180 peer-reviewed articles (440 empirical cases) to delineate how various UFGS attributes drive housing price changes, focusing on the direction, intensity, and contextual dependency of these impacts. We identified specific UFGS attributes (e.g., proximity, size, type, quality, accessibility, landscape patterns) and the methodologies assessing their price impacts, primarily hedonic pricing models. Our findings confirm a consistent, albeit highly variable, positive premium from urban forests and related green infrastructure on housing prices. Key drivers include not only proximity and size, but also crucial qualitative attributes like perceived UFGS quality (e.g., tree canopy coverage, wooded park maintenance), which often show stronger or more consistent effects than simple quantitative measures. The analysis also highlights that negative impacts can arise from poorly managed urban forests or certain disamenity-prone green typologies. Significant spatio-temporal heterogeneity is evident, with price effects varying by urban context (e.g., density, development stage) and over time. Socio-economic factors, particularly manifesting as “green gentrification”, which can exacerbate inequalities by disproportionately benefiting higher-income groups, critically moderate these relationships. Furthermore, prevalent non-linear effects (e.g., distance-decay patterns, threshold effects for UFGS size) and complex interactions between different UFGS attributes underscore the nuanced nature of the UFGS–price nexus. This review provides a structured understanding of urban forest and green space capitalization drivers, emphasizing the need for nuanced, evidence-based urban forestry planning and green space management that considers UFGS quality, diversity, and equitable distribution for sustainable urban development. Full article

The modern world faces numerous challenges related to environmental degradation, climate change, and the growing demand for food in the context of rapid population growth. One of the key areas in which solutions supporting the idea of sustainable development can be sought is in society’s dietary habits and the implementation of innovative approaches to food production. Among these, 3D food printing has attracted growing attention as a promising approach for designing plant-based products with tailored structure, composition, and sensory properties. However, the broader adoption of 3D-printed foods may depend largely on consumer acceptance. The aim of this study was to compare the sensory evaluation and perceived market value of two plant-based salmon analogues: a conventional vegan product commercially available on the domestic market (Product A) and a vegan salmon analogue produced using a 3D food printing approach (Product B). An exploratory consumer study was conducted with 20 adult participants representing two dietary groups: meat consumers and non-meat consumers. Two tasting panels were organised, and both products were evaluated using a structured hedonic questionnaire covering appearance, aroma, colour, taste, texture, packaging, perceived ingredient composition, acceptable price, and purchase intention. Data were analysed descriptively and by means of McNemar’s test and the Wilcoxon signed-rank test, including subgroup analyses by dietary profile. Product B received significantly more favourable ratings for aroma, taste, texture, and acceptable price, and it generated a higher declared purchase intention than Product A. The difference in purchase intention between the two products was statistically significant. More positive evaluations of Product B were particularly evident among non-meat consumers. These findings suggest that, in the context of this exploratory tasting study, the 3D-printed plant-based salmon analogue showed promising consumer acceptance, especially among respondents already oriented toward plant-based diets. Full article

The expansion of the transport sector in Thailand has resulted in a continuous increase in greenhouse gas emissions and air pollution. Therefore, promoting the adoption of commercial electric vehicles (EVs) has become an important approach to mitigating environmental impacts and enhancing sustainability. This study integrates the TAM, TPB, and 7Ps frameworks to examine factors influencing the intention to adopt EVs among freight transport operators in Thailand. A total of 876 freight operators were surveyed, and the data were analyzed using a random parameters probit model with heterogeneity in means. The results indicate that environmental motivation, perceived safety, ease of use, reductions in operational costs, social benefits, dealership credibility, and perceived quality-of-life improvement positively influence the intention to adopt EVs. In contrast, gaps between EV attitudes and purchasing readiness, along with over-reliance on promotional and online channels, negatively affect EV adoption intention. Furthermore, perceptions of price appropriateness show heterogeneous effects across respondents, reflecting hidden costs and operational uncertainties. Based on these findings, the study proposes an integrated set of policy measures to support a sustainable transition toward EV adoption in the freight transport sector. These results provide useful guidance for policymakers and freight transport operators in developing strategies and policies that encourage the long-term adoption of electric vehicles in freight transportation. Full article

Climate change, depleting fossil fuel reserves, and instability in petroleum prices are driving developing economies to explore cost-effective, efficient, and sustainable energy sources such as hydropower. However, there is an ongoing debate regarding the relevance, suitability, and impact of mega-dams. Much of the existing research on mega-dams examines this debate through the lens of development theories. However, mega-dams impact a wide range of stakeholders at local, national, regional, and global levels, necessitating exploration of their role from a socioeconomic perspective. This interdisciplinary case study draws knowledge from management, sociology, and economics and provides a comprehensive account of multi-stakeholder perspectives on the impact of a mega-dam and addresses the research question: How do stakeholders perceive the impact of the Merowe Dam on agricultural livelihoods, and how do they interpret the role of governance processes? Participants included farmers, a focus group with 10 members from the affected communities, and 32 key informant interviews from non-governmental organizations, political actors, academics, businessmen and leaders in the catchment areas of the Merowe Dam, Sudan. The findings suggest that despite some concerns about motivations and processes of mega-dam commissioning, these projects are perceived as beneficial for long-term and sustainable socioeconomic growth and gaining support for renewable energy use in developing economies. The participants reported that modernization of agriculture, following the establishment of the dam, increased crop yields, e.g., wheat production has increased per hectare. Farmers’ income and irrigated land have increased substantially per family due to an increase in land sizes allocated to relocated communities, leading to an overall increase in land size. Therefore, with improved processes in both pre- and post-commissioning stages, transparency, accountability, and deeper stakeholder engagement, mega-dams can facilitate a smoother transition from fossil fuels to large-scale hydropower on one hand and livelihood enhancement through agriculture and other income generating activities on the other. Full article

Near-expired food has received increasing attention in recent years as an important way to reduce food waste and promote sustainable consumption. However, although consumers recognize its economic value and environmental significance, they still have concerns about its quality and potential risks. Drawing on social cognitive theory and social exchange theory, this study adopts a benefit–risk trade-off perspective to examine how personal and environmental factors influence purchase intention toward near-expired food through perceived benefits and perceived risks. Based on 547 valid questionnaires collected from Chinese consumers, this study employs PLS-SEM, multi-group analysis (MGA), and fuzzy-set qualitative comparative analysis (fsQCA) for empirical testing. The results show that personal norm and price discount significantly increase perceived benefits, whereas social image concern and product uncertainty significantly increase perceived risks. Perceived benefits have a significant positive effect on purchase intention, whereas perceived risks have a significant negative effect. The MGA results further show that purchase experience and income level lead to significant differences in consumers’ decision paths. The fsQCA results indicate that both high and non-high purchase intention can be formed through multiple distinct but equivalent paths. High purchase intention mainly follows two patterns, benefit-driven and cognitive trade-off. Non-high purchase intention is mainly characterized by benefit deficiency and risk interference. The findings provide implications for the marketing and risk management of near-expired food. Full article

Residential buildings are a major source of urban carbon emissions, yet the uptake of smart home retrofitting remains far below the level required to meet decarbonization and sustainability targets. While technical solutions for energy-efficient renovation are well established, less is known about how behavioral, psychological, and institutional factors jointly shape household retrofit decisions and their broader sustainability implications. This study develops an integrated analytical framework that combines UTAUT2 with perceived risk, trust, innovativeness, and regulatory pressure, interpreted through a socio-technical systems perspective, to examine smart home retrofitting in Thailand and its contribution to Sustainable Community Development Goals (SCDG). Survey data were collected from 448 households in Bangkok and Chonburi and analyzed using structural equation modeling. The results show that traditional UTAUT2 predictors such as performance expectancy, effort expectancy, and social influence do not significantly influence adoption intention in this high-cost retrofit context. Instead, innovativeness, trust, price value, perceived risk, and regulatory pressure emerge as key behavioral and institutional drivers, while facilitating conditions and habits shape actual use behavior. Actual retrofit behavior is found to generate significant economic, environmental, socio-cultural, technological, and public-policy sustainability outcomes aligned with SCDG. These findings demonstrate the limitations of conventional technology acceptance models in infrastructure-based contexts and provide a mechanism-based explanation of how retrofit adoption is driven in high-cost sustainability contexts. Full article

While the adoption of e-ticketing has been studied in various disciplines, few studies have examined tourists’ intention to adopt e-ticketing for visiting small island and valley tourism sites. This study extends the Technology Acceptance Model and the Theory of Planned Behavior by incorporating security and privacy concerns, price fairness, electronic word-of-mouth, destination management effectiveness, government incentives, and environmental concern to examine the antecedents of tourists’ behavioral intention to adopt e-ticketing. Data were collected from 375 purposively sampled on-street respondents in Sajek Valley and Saint Martin’s Island, Bangladesh. The data were analyzed using partial least squares structural equation modeling. The findings show that perceived usefulness, price fairness, subjective norms, perceived ease of use, environmental concern, and destination management effectiveness affect tourists’ attitudes toward e-ticketing adoption. However, security and privacy concerns have a negative but statistically insignificant influence on attitudes. Attitude is a significant determinant of behavioral intention, and government incentives moderate the relationship between attitude and behavioral intention. The study offers implications for policymakers, online marketers, and destination managers. Full article

Water utilities are increasingly expected to combine technical reliability with social inclusion, risk communication, and service continuity. This empirical paper reports a cross-sectional mixed-mode household survey conducted in Rzeszów, Poland, based on 384 complete questionnaire records. For a city of approximately 200,000 inhabitants, this sample size matched the conventional planning benchmark associated with a 95% confidence level and a 5% maximum error under simple-random-sampling assumptions; however, because recruitment was mixed-mode and non-probabilistic, the results are interpreted as evidence from the realized sample rather than as formally weighted population estimates. The questionnaire covered routine service evaluation, interruption experience, preparedness, communication preferences, vulnerability-related burden, and willingness to support reliability enhancement. The analytical workflow combined descriptive statistics, reliability analysis, Bartlett’s test of sphericity, the Kaiser–Meyer–Olkin measure, principal component analysis, Mann–Whitney U tests, Kruskal–Wallis tests, chi-square tests, Spearman correlation, binary logistic regression, correspondence analysis, and CHAID-type segmentation. The highest ratings were recorded for continuity of supply (mean = 4.18) and pressure stability (mean = 4.15), whereas price fairness received the lowest mean score (3.17). Interruptions were reported by 40.1% of respondents and were associated with lower overall satisfaction. Logistic regression showed that continuity rating (OR = 4.029) and water quality rating (OR = 2.305) increased the odds of high satisfaction, whereas longer interruptions reduced them (OR = 0.354). Additional analyses showed that interruptions lasting 12 h or more markedly increased the odds of high nuisance among affected households (OR = 5.914), while respondents aged 51 years or more had lower odds of declaring emergency-information awareness (OR = 0.468). Internal bootstrap validation indicated only mild optimism (optimism-corrected AUC = 0.825). The findings indicate that customer satisfaction in urban water services is shaped primarily by continuity, perceived water quality, and disruption burden, while communication and preparedness needs remain socially differentiated. Full article

Drone-based Urban Air Mobility (UAM) shows immense potential in urban logistics and emergency response; however, evidence regarding its systemic sustainability remains fragmented. In a systematic review using the PRISMA methodology, this study analyzes 301 core articles to construct an evaluation framework spanning environmental, economic, social, and systemic effectiveness dimensions. Given technical similarities, electric Vertical Take-off and Landing (eVTOL) findings are integrated to anticipate operational challenges. Results highlight a clear consensus: drone delivery is time-efficient in high-sensitivity scenarios, though noise, equity, and safety remain critical bottlenecks. Meanwhile, deep controversies persist across some dimensions. Environmental benefits are highly context-dependent, contingent on operating models, battery life cycles, and clean energy proportions from a Life Cycle Assessment (LCA) perspective. Economically, a mismatch between high costs and low willingness to pay (WTP) necessitates optimized pricing strategies. Socially, public acceptance is sensitive to the balance between perceived benefits and risks. Furthermore, systemic effectiveness depends on the coupling between vertiports and ground infrastructure. Concluding that sustainable drone-based UAM is a multistakeholder systemic endeavor, we urge future research to prioritize LCA, pricing strategies, public acceptance surveys, and integrated air-ground coordination to resolve controversies and foster sustainable systems. Full article

The shift to 15 min market time units (MTUs) in single-day-ahead coupling (SDAC) increases temporal granularity, but complicates the interpretation of intra-hour electricity price spikes and rapid ramps. This paper examines whether architectural decomposition improves the reliability of large language model (LLM)-based diagnostics in price-only settings, rather than causal market analytics, under severe information constraints. We compare a proposed agentic workflow featuring structured context extraction, spike/ramp detection, hypothesis generation, consistency checks, and explicit uncertainty calibration against non-agentic baselines. The paper contributes: (i) a reproducible benchmark for 15 min diagnostic question answering in day-ahead markets, (ii) an agentic architecture tailored to structured time-series reasoning with explicit uncertainty handling, and (iii) empirical evidence that decomposition and verification improve evidence grounding and trustworthiness in market analytics. The evaluation includes 360 price-only cases sampled across autumn 2025, winter 2025–2026, and early spring 2026, balanced by bidding zone, temporal period, event type, and impact tier, comprising 180 spike and 180 ramp cases from six Central and Eastern European bidding zones (Bulgaria, Czechia, Hungary, Poland, Romania, and Slovakia). Using identical inputs, we assess automatic reliability metrics and human ratings. The agentic workflow improves reliability (∆ = +0.067, 95% CI [+0.049, +0.085]) and significantly increases calibrated price-only disclaimers (∆ = +0.500) relative to the monolithic LLM baseline. Human evaluation confirms higher overall quality (+0.74), helpfulness (+1.06), and correctness (+0.94), with a 65.5% pairwise win rate. Overall, the results support a narrower conclusion: structured decomposition and verification improve calibration and perceived explanation quality relative to a simple monolithic LLM baseline, but their advantages are not uniform across stronger non-agentic baselines and remain limited by the absence of exogenous market data. Full article