Search Results (651)

The rapid proliferation of e-commerce has reshaped the spatial logic and facility typologies of urban logistics. While the literature on logistics facility location selection is extensive, there is limited understanding of how the relative importance of location criteria varies across facility types shaped by e-commerce. This study addresses this gap by analyzing the location criteria of logistics facilities of different sizes using a multi-criteria decision-making (MCDM) approach. Twenty-five criteria, identified through a literature review and feedback from seven experts in the Istanbul e-commerce logistics sector, were analyzed using the Fuzzy Simple Additive Weighting (SAW) method. The relative weights of criteria were calculated for three facility scales, macro-, meso-, and micro-scales, to reveal how location priorities vary across scales. Proximity to main arteries ranks first across all scales (macro: 0.317, meso: 0.431, micro: 0.409). Land rental values are highly prioritized at both the macro- and meso-scale, while population density ranks prominently at the macro- and micro-scale. At the meso-scale, shopping mall proximity gains notable weight, whereas intermediate arteries stand out as a key factor at the micro scale. These findings advance the understanding of scale-sensitive dynamics in urban logistics and provide a framework for more adaptable and sustainable logistics planning. Full article

Food, specifically those with heritage attributes, stands as one of the distinctive forms of Intangible Cultural Heritage (ICH). To promote and preserve such heritage, brands have increasingly focused on incorporating heritage elements into the packaging. This research employs three studies conducted in China to explore how different representation styles of heritage elements (verbal vs. non-verbal) shape consumer brand preferences in food packaging. Study 1 confirmed that food packaging featuring heritage elements effectively enhances consumer brand preference. Moreover, consumers exhibit stronger preference for the verbal elements over the non-verbal ones for heritage food due to construal level theory. Study 1 also demonstrated the mediating role of perceived value. Study 2 validated that such an effect remained significant within a tourism shopping context. In addition, Study 3 revealed the moderating effect of purchase motivation. When purchasing food as a gift, consumers tend to adopt a more abstract processing level (e.g., symbolic meaning, cultural connotation), which enhances the effect of verbal heritage elements on brand preference, whereas for self-use purchases, consumers shift to a concrete processing level (e.g., taste or price), thus enhancing the effect of non-verbal representation style. This research enriches the research on heritage element application in food marketing, and offers suggestions for packaging design for heritage food. Full article

Virtual fitting rooms have come a long way, incorporating augmented reality, artificial intelligence, and body scanning technologies to enhance the shopping experience. While the extant literature has provided systematic examinations of consumers’ experience for virtual fitting rooms, factors that affect consumers’ virtual model selection and intention to use virtual fitting rooms remain understudied. This study aims to explore how consumers’ body esteem influences virtual model selection, trust in virtual models, and intention to use virtual fitting rooms. The results of an empirical study in China showed that consumers with high (vs. low) body esteem were more willing to select virtual models with body sizes that were congruent with (vs. larger than) their own, and they were more likely to trust virtual models and use virtual fitting rooms. The preference for thin models and the need for uniqueness produced a moderating effect. These results provide valuable insights into consumers’ intention to use virtual fitting rooms in e-commerce. Full article

Bike lending offers a service that enables individuals to borrow bicycles for short-term use (i.e., ranging from 2 hours to 36 months), typically from designated locations within cities, campuses, or communities. Unlike bikesharing systems that typically rely on automated kiosks and/or undocked and free-floating devices for public access, bike lending involves a managed program with staff, similar to a library model. These programs can be administered by community organizations, bike shops, public libraries, and other local entities. They are typically community- or membership-based, with many programs associated with non-profit organizations or publicly owned and operated. In this paper, we investigate bike lending in the United States and Canada as of Spring 2024, including a literature review, the identification and characterization of bike lending programs (n = 55), expert interviews (n = 24), a survey of bike lending operators (n = 31), and 2 focus groups with a total of 12 participants. Insights from expert interviews and operator surveys highlight the experiences of professionals involved in bike lending. The focus groups capture the experiences of bike lending users. This paper finds that North American bike lending is often tailored to the specific needs of communities, such as youth, low-income individuals, and the general population. More sustained funding could support program expansion and diversify bike offerings. Enhancing cycling infrastructure, such as adding dedicated bike lanes and paths, could improve overall cycling safety and increase participation in bike lending programs. This study’s findings could help strengthen existing bike lending programs, guide the development of new initiatives and supportive policies, and enhance safe bicycle use for participants. Full article

Demand-Responsive Transport (DRT) services ensure the implementation of more sustainable transport solutions and focuses on the creation of more flexible and personalised public transport systems. They help to reduce the use of cars, improve service efficiency, and reduce the environmental impact. The attractiveness of DRTs depends on the type of activities served (e.g., schools, hospitals, modal interchange hubs). The attractiveness of a specific stop depends not only on its location but also on proximity to essential services (such as schools). The aim of this study is to identify which categories of activities most influence users’ choice of stops. A conditional logit model is developed to analyse drop-off stop selection, based on the location and configuration of key stops and major attraction points in the monitored case study in Ragusa, Sicily (southern Italy). Accessibility to different attraction points from stops is considered as the main independent variable. The results show that proximity to sports facilities and schools strongly influence users’ choice of stops, along with nearby modal interchange stations and shopping-related activities. Conversely, stops near health centres tended to be less attractive in the study area. Furthermore, sports facilities exert the strongest attraction, while travel patterns to health services deviate from existing literature, likely reflecting the limited availability of complementary transport options. Full article

This paper assesses the correlates of perceived well-being among young women aged 18 to 30 in five Balkan cities: Athens, Greece; Plovdiv, Bulgaria; Bucharest, Romania; Nis, Serbia; and Shtip, North Macedonia, by integrating urban, travel behavioural, and socio-economic features. A cross-sectional survey was employed using standard questionnaires including the Warwick–Edinburgh Mental Well-being Scale (WEMWBS), the short version of the International Physical Activity Questionnaire (IPAQ), and the adapted ALPHA environmental questionnaire. To answer research questions, linear regression models were developed to analyse predictors of well-being at both regional and national levels. Results show that neighbourhood and mobility features play a significant role in shaping mental well-being. Access to walkable sidewalks, green spaces, mixed land-use structure, and attractive local facilities (e.g., shops, recreational centres in the neighbourhood) were consistently associated with higher levels of well-being. Conversely, perceived insecurity, especially at night or regarding bicycle theft, significantly reduced well-being. Physical activity levels, particularly days of walking and vigorous activity, showed strong positive associations, underscoring the role of active lifestyles in promoting mental health. Socio-economic variables, including financial status, relationship status, and work status, were also found to be linked to perceived well-being. Cycling-related variables may affect Greek well-being up to 16.5 times. Perception of crime during the night may negatively affect both Bulgarian and Serbian well-being (up to 10 times), while Romanian well-being is mostly affected by the existence of shopping facilities. Finally, the most impactful factors for well-being in North Macedonia refer to cycling safety and scooter accessibility. Full article

The emergence of antimicrobial resistance (AMR) across the broiler production chain holds significant economic, animal, and public health implications. This study investigated phenotypic resistance to 13 antimicrobials and the presence of 35 antimicrobial resistance genes (ARGs) in Escherichia coli (n = 291) isolated across three broiler production chains (broiler breeder farms, hatcheries, commercial broiler farms, and retail meat shops). An extremely high phenotypic resistance (>70%) to doxycycline, ciprofloxacin, and cefpodoxime, and very high resistance (50–70%) to ampicillin, cefotaxime, gentamicin, and ceftazidime was observed. In addition, 97% of isolates were multidrug-resistant (resistant to ≥1 drug in ≥3 antimicrobial classes), 42% were extended-spectrum beta-lactamase (ESBL) producers, 65% were resistant to third-generation cephalosporins (3GCR), and 21% were resistant to colistin. The Poisson regression model revealed no significant difference in AMR among broiler production stages, except for colistin. Among 35 ARGs tested, 24 (67%) were detected at least once. The most prevalent were tetA, bla_TEM, qnrB, qnrS, and aac(6′)-Ib-cr, while qnrD, sul2, bla_OXA, and bla_CTX-M were detected at lower levels (1–7%). All five tested mcr genes (mcr-1 to mcr-5) were identified in commercial farms and retail shops. No bla_NDM, tetB, tetC, tetD, tetM, qnrC, aac(3)-IIa (aacC2), aph(3)-IIa (aphA2), or aac(6′)-Ib genes were found. A strong correlation was observed between AMR phenotypes and ARGs. High AMR among E. coli in broiler production poses significant One Health risks, with widespread MDR, ESBL production, and resistance to critically important antimicrobials. Prudent antimicrobial use, enhanced surveillance and education, farm biosecurity, and One Health strategies are crucial in mitigating these threats. Full article

Background: The emergence of extended-spectrum β-lactamase (ESBL) producing and colistin-resistant Escherichia coli in retail meat poses a significant public health risk. Method: A total of 180 retail meat samples (chicken parts, internals, processed products; lamb; beef; fish) were purchased from markets and butcher shops across Turkiye. Presumptive ESBL-producing isolates were screened on chromogenic agar and phenotypically confirmed. Species identity was verified by uspA PCR, and resistance genes (blaCTX-M, blaTEM, blaOXA, blaSHV, mcr-1, mcr-2, mcr-3) were analyzed. Colistin MICs were determined by broth microdilution, while antimicrobial susceptibility of ESBL-positive isolates was assessed by disk diffusion. Results: Overall, ESBL-producing E. coli were detected in 21.7% (n = 39) of the 180 meat samples analyzed, with the highest prevalence observed in chicken parts (26/40, 65.0%) and giblets (6/10, 60%). All ESBL-E. coli isolates harbored blaCTX-M, with blaCTX-M-1 identified as the sole variant. The blaTEM gene was detected in 61.5% (24/39) of ESBL-positive E. coli isolates. Colistin resistance was identified in six isolates (15.4%), all of which carried the mcr-1 gene. Additionally, one lamb minced meat isolate harbored the mcr-2 gene. Co-occurrence analysis revealed that the most frequent resistance gene combination among ESBL-producing isolates was blaCTX-M1 + blaTEM, detected predominantly in chicken meat samples, while mcr-1 was observed only in isolates harboring single or limited resistance genes, suggesting a distinct acquisition pattern. Conclusions: A high prevalence of blaCTX-M-1 and the co-occurrence of mcr genes were detected in E. coli isolates from retail meat, particularly poultry. The detection of mcr-1/mcr-2 co-carriage in lamb meat, though rare, highlights the need for broader surveillance. These findings underscore the need for integrated monitoring and prudent antimicrobial use in food animals. The use of antibiotics as growth promoters is prohibited in Türkiye, and therapeutic applications require a veterinary prescription; however, stronger enforcement remains essential to limit the dissemination of multidrug-resistant bacteria in the food chain. Full article

This study investigates how multidimensional value and experience quality shape satisfaction and loyalty in shopping tourism. We extend the QVSL tradition by (i) specifying three hedonic value dimensions (entertainment, exploration, escapism), (ii) differentiating functional value into performance-oriented and money-saving facets, and (iii) incorporating epistemic value and experience quality as additional antecedents. We also model immediate behavioral outcomes (i.e., money spent and time spent) and test involvement as a moderating condition. Using path analysis on data from 413 mainland Chinese tourists in Japan, findings confirm that entertainment, functional value (for performance and money), epistemic value, and experience quality enhance shopping satisfaction. Functional values, epistemic value, and satisfaction drive destination loyalty. Money and time spent are additional outcomes of satisfaction. Involvement moderates the link between satisfaction and money spent. These insights offer strategic implications for Destination Marketing Organizations (DMOs) and retailers to optimize shopping environments and employee services, increasing tourist satisfaction, loyalty, and both time and money spent in the competitive shopping tourism market. Limitations include the cross-sectional design and the use of composite-indicator path analysis; future research could apply longitudinal or full SEM approaches, broaden contexts, and test additional constructs. Full article

This study explores the application of Mid-Infrared (MIR) and Near-Infrared (NIR) spectroscopy combined with various multivariate calibration techniques to detect the presence of cannabis in tobacco samples and tobacco in herbal smoking products. Both MIR and NIR spectra were recorded for self-prepared samples, followed by data exploration using Principal Component Analysis (PCA) and Hierarchical Clustering Analysis (HCA), and the calculation of binary classification models with Soft Independent Modelling of Class Analogy (SIMCA) and Partial Least Squares-Discriminant Analysis (PLS-DA). PCA demonstrated a clear differentiation between tobacco samples containing and not containing cannabis. On the other hand, based on PCA, only NIR was able to distinguish herbal smoking products adulterated and not adulterated with tobacco. HCA further clarified these results by revealing distinct clusters within the data. Modelling results indicated that MIR and NIR spectroscopy, particularly when paired with preprocessing techniques like Standard Normal Variate (SNV) and autoscaling, demonstrated high classification accuracy in SIMCA and PLS-DA, achieving correct classification rates of 90% to 100% for external test sets. Comparison of MIR and NIR revealed that NIR spectroscopy resulted in slightly more accurate models for the screening of tobacco samples for cannabis and herbal smoking products for tobacco. The developed approach could be useful for the initial screening of tobacco samples for cannabis, e.g., in a night life setting by law enforcement, but also for inspectors visiting shops selling tobacco and/or herbal smoking products. Full article

The Line Balancing Problem (LBP) is a classic optimization topic in production management, aiming to improve efficiency through task allocation. With the transformation of the manufacturing industry towards intelligence, customization, and sustainability, its research scope has been significantly expanded. This study systematically reviews the recent research progress and proposes the C|H|V|E framework to analyze the LBP in four dimensions: (i) extension of the core line problem; (ii) horizontal integration with shop-floor decision-making; (iii) vertical coordination with enterprise-level operations; and (iv) extension of the value from efficiency improvement to sustainability and resilience enhancement. The review focuses on emerging trends, including artificial intelligence and data-driven approaches, digital twin-based optimization, flexible human-machine collaboration, and system integration across the lifecycle and circular economy. This paper provides a systematic overview of the current state of LBP research and explains how it continues to expand its boundaries by incorporating knowledge from new fields. Full article

The aim of this study was to analyze international differences in online consumer behavior. The analysis was carried out on a sample of 763 participants from the countries of Spain, France, Poland and Russia. Online consumer behavior was examined from the perspective of seven dimensions: shipping-related concerns and preferences, price sensitivity and perceived cost advantage, quality perception, security concerns, time-related benefits, availability and quality of information, and shopping service satisfaction. Data were verified using Average inter-item correlation, the Shapiro–Wilk test and Levene Statistic. Subsequently, Welch’s ANOVA and one-way ANOVA and the Games–Howell and Tukey HSD post hoc tests were applied. Statistically significant differences were fully identified in all examined dimensions. The largest differences were recorded in price sensitivity, shipping-related concerns and security concerns. The effect measurements, in addition to ANOVA and post hoc tests, confirm the significance of these differences. National context, shaped by culture, institutional trust and digital infrastructure, continues to influence online consumer behavior. The strategies that the businesses should adopt should focus on approaches that are tailor-made for a specific market. This means that adapting pricing models, strengthening trust (e.g., through secure payments and strengthening safe return policies), and adapting delivery options to local preferences can lead to improved customer satisfaction in cross-border e-commerce. Full article

This paper examines a number of features of online retailing and e-commerce, with a special focus on important topics including consumer behavior, multichannel marketing, and customer relationship management (CRM). According to existing research, online sales have several advantages for businesses, especially those with physical locations, such as better inventory control and increased profitability. The difficulties of integrating offline and online channels, maintaining consumer loyalty, and competing globally are all deeply analyzed. Small-business-specific CRM methods and innovative algorithms show improvements in client happiness and targeting. The study shows how e-commerce adoption and client loyalty are shaped by cultural variables, trust, and personalization. By covering the gaps in research on growing and regional markets, this review offers thorough insights into how online shopping is changing and how these changes affect retail tactics. Full article

E-commerce is quickly increasing purchasing behavior across the globe, but little is known about how psychological paradigms underscore online buying intentions for locally essential items as nomadic local foods. The primary goal of this research is to examine the effects of some important psychological constructs and motivational values on predicting consumers’ intention to purchase nomadic and local foods via online e-commerce platforms, such as Ashayershop. This study followed the Theory of Planned Behavior (TPB) and looked at direct and mediated effects of attitudes, perceived behavioral control, and subjective norms on intention to purchase. Structural Equation Modeling (SEM) was conducted, based on data collected from a representative sample of consumers who were familiar with online shopping for local foods. The results highlight that attitude towards online shopping for local foods was the strongest direct predictor of intention to purchase (β = 0.383, T = 9.487, p < 0.001). Perceived behavioral control (β = 0.220, T = 5.316, p < 0.001), hedonic value (β = 0.213, T = 4.907, p < 0.001), utilitarian value (β = 0.187, T = 3.719, p < 0.001), and subjective norms (β = 0.149, T = 3.493, p < 0.001), received a significant positive effect on intention. In addition, hedonic and utilitarian values bountifully mediated the relation between psychological antecedents (attitudes, perceived behavioral control, and subjective norms) and purchase intention. For instance, attitude indirect effect via hedonic value was β = 0.080 (T = 3.783, p < 0.01), and indirect effect via utilitarian value was β = 0.040 (T = 3.058, p < 0.01), indicating the importance of these values as mediators. This research makes a contribution to the literature by showing that motivational values serve as not only an outcome but also as cognitive–affective mediators in the behavioral process thus expanding the TPB in the context of digital food markets. In general, these results provide valuable insights to e-commerce platforms and policymakers who desire to promote consumer engagement with products stemming from culture and tradition on line by developing new integrated strategies that address the cognitive, emotional, and social components. Full article

This study presents a comparative investigation of combustion and emission characteristics in a two-stroke MAN 5S35ME-B9.5 marine diesel engine equipped with a Controllable Pitch Propeller and an Exhaust Gas Recirculation system. Experimental data were obtained from both factory shop tests conducted under the IMO NOx Technical Code 2008 E2 cycle and sea trials performed onboard the T/S Baek-Kyung. Engine performance was evaluated under Tier II-FB, ecoEGR, and Tier III modes, focusing on specific fuel oil consumption, peak cylinder pressure, exhaust gas temperature, and regulated emissions. Results indicate that Tier III achieved the greatest NOx abatement, reducing emissions by up to 76.4% (1464 to 346 ppm), but with penalties of 16.8% higher SFOC and 45.2% higher CO₂ concentration. EcoEGR provided a more favorable compromise, reducing NOx by 52.3% while limiting SFOC increases to ≤15.4% and CO₂ increases to ≤30.9%. Strong correlations were observed between NOx, Pmax, and exhaust gas temperature, reaffirming fundamental trade-offs, while O₂ and CO correlations showed greater variability under sea operation. Despite operational scatter, sea trial results reproduced the key patterns observed in shop tests, confirming robustness across conditions. Overall, this correlation-based analysis provides quantified evidence of performance–emission trade-offs and offers a practical foundation for optimizing CPP-equipped two-stroke engines under varying EGR strategies. Full article