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To investigate the demand for 5G in Germany, we applied the Van Westendorp Method (VWM) to measure willingness to pay (WTP) and price sensitivity (N = 504). The results show that more than half already own a 5G smartphone and these customers are less price sensitive. The accepted price range for the monthly 5G surcharge ranges between 10.00 and 15.40 Euros. Two thirds want more transparency in 5G pricing, while price is the most crucial factor (4.2/5.0), followed by data volume (4.1/5.0) and network operator/coverage (4.0/5.0). The results are particularly interesting for providers as the target group for 5G is quite diverse. [ABSTRACT FROM AUTHOR]

This study aims to dynamically mine the demands of hotel consumers. A total of 378,270 online reviews in the cities of Beijing, Chengdu, and Guangzhou in China were crawled using Python. Natural language processing (e.g., opinion mining and the BERT model) and an improved Kano model (containing One-dimensional, Attractive, Indifferent, and Must-be) were utilised to analyse online hotel reviews. The results indicate that the hotel attributes that consumers care about (e.g., Clean, Breakfast, and Front Desk) are dynamically fluctuating, and the attention and satisfaction of corresponding attributes will also change. This study classified consumer demand into eight types across cities and found that it changes over time. In addition, we also found that hotel attributes, satisfaction and attention, and consumer demands vary among different cities. Existing studies of capturing consumer demand are usually time-consuming and static, and the results are subjective. This study compared and analysed the consumer demands of hotels in different cities via a dynamic perspective, and used hybrid methods to improve the granularity of the analysis, expanding the general applicability of the Kano model. Hotel managers can refer to the results of this article to allocate resources for improvement and create competitive hotel services. [ABSTRACT FROM AUTHOR]

Significant losses occur in the fresh produce supply chain, spanning from the harvest to postharvest stages, with considerable wastage during production and consumption. Developing predictive models for overall postharvest losses is crucial to inform growers and industry stakeholders, facilitating better decision-making and resource management. These models play a pivotal role in supporting governments, as well as global food and agricultural organizations, in their efforts to alleviate poverty and ensure food and nutrition security for the growing human population. This review discusses opportunity targets for predicting total postharvest losses and addresses strategies for effective waste management with the aim of promoting sustainable agricultural production and enhancing global food security. [ABSTRACT FROM AUTHOR]

This study aims to dynamically mine the demands of hotel consumers. A total of 378,270 online reviews in the cities of Beijing, Chengdu, and Guangzhou in China were crawled using Python. Natural language processing (e.g., opinion mining and the BERT model) and an improved Kano model (containing One-dimensional, Attractive, Indifferent, and Must-be) were utilised to analyse online hotel reviews. The results indicate that the hotel attributes that consumers care about (e.g., Clean, Breakfast, and Front Desk) are dynamically fluctuating, and the attention and satisfaction of corresponding attributes will also change. This study classified consumer demand into eight types across cities and found that it changes over time. In addition, we also found that hotel attributes, satisfaction and attention, and consumer demands vary among different cities. Existing studies of capturing consumer demand are usually time-consuming and static, and the results are subjective. This study compared and analysed the consumer demands of hotels in different cities via a dynamic perspective, and used hybrid methods to improve the granularity of the analysis, expanding the general applicability of the Kano model. Hotel managers can refer to the results of this article to allocate resources for improvement and create competitive hotel services.

Abstract The diversity of consumer demand for take-out food has led to the characteristic structure of one order with multiple items, where the different food items in a single order are provided by two or more merchants. In the context of multi-item delivery for take-out orders with time windows, this study investigates vehicle routing for order delivery. This research aims to improve the service level of merchants and the efficiency of delivery vehicles. Food vendors receive orders from consumers through online platforms, then package the food items according to the orders. This method is a preliminary exploration of the issue of fulfilment of takeout orders on online platforms, and can provide preliminary theoretical support for decision-making on the delivery process of takeout orders on online platforms. In the context of online catering sales platforms and offline food sales merchants, this paper studies the delivery problem of takeaway orders with a time window and the characteristics of one order and multiple items, and constructs a method that takes the order delivery time requirements into account and minimizes the total order fulfilment cost. Taking into account the time window constraints of both physical restaurants and consumers, genetic algorithms are utilized to solve the order delivery problem. Finally, through case studies and experiments, the effectiveness and feasibility of the mathematical model are validated. Practical recommendations and insights are provided from the perspective of management and route planning.

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the context of increasingly fierce competition in the global market consumer preferences and needs have become critical guiding factors for product design and development. Gejia batik as a traditional craft possesses a unique cultural charm and artistic value and has increasingly gained favor among modern consumers holding significant potential for modern tourism and market opportunities. However to adapt such traditional crafts to the modern market and meet the diverse needs of consumers it is essential to thoroughly understand consumer preferences and needs and integrate these requirements into product design. Therefore this study took Gejia batik products as the subject to explore the design requirements and optimization strategies for Gejia batik products from consumers aiming to enhance consumer satisfaction with Gejia batik products. The study's primary purpose was to bridge the gap between traditional craftsmanship and modern design through consumer-driven analysis of product design requirements so as to provide scientific basis and innovative ideas for the innovation and development of Gejia batik products. This study employed multiple approaches including interviews the Kawakita Jiro method surveys and the Kano model to explore consumer design requirements and provide optimization strategies for Gejia batik products. Firstly consumer opinions on the design requirement elements for Gejia batik products were collected through interviews. Next by using the Kawakita Jiro method a list of 31 requirements was extracted and categorized into six major types product shape product pattern product color product craftsmanship production process and positioning and style. The Kano model and the Better-Worse and sensitivity coefficient were used to categorize and prioritize the attributes of various demand elements. Then gender age and monthly income were used as entry points to analyze the needs of different consumer categories. Finally based on the research findings suggestions and strategies to enhance consumer satisfaction were proposed. Previous scholars have focused on the study of Gejia batik from the perspectives of ethnology art studies or cultural studies. This paper investigated the design needs of Gejia batik from the consumer's perspective and used a comprehensive approach involving interviews the Kawakita Jiro method surveys and the Kano model for data collection and analysis achieving certain innovations in research perspectives and methodologies. The research results indicate that the harmonious shapes smooth lines and practicality of Gejia batik products are must-be qualities and the primary factors affecting consumer satisfaction. The expected qualities of colorfastness exquisite craftsmanship cultural value representation design-oriented patterns environmental sustainability and creative shapes are key factors that impact consumer satisfaction. High-quality colors ingenious composition auspicious meanings product innovation and artistic sense belong to the attractive qualities which are important factors influencing consumer satisfaction. Furthermore consumers of different genders ages and monthly incomes have varying emphases on the design requirements for Gejia batik products. From a gender perspective female consumers have higher aesthetic demands and pursue the fashion sense of batik products more than males. In contrast males have higher expectations for batik's design sensibility and product shape. From an age perspective consumers aged 18 - 25 focus more on the aesthetic appeal distinctiveness and environmental sustainability of batik products. Those aged 26 - 35 pursue the artistic quality auspicious meanings and clever composition of batik products. Consumers aged 36 - 45 place greater emphasis on the products'shape fashion sense and artistic quality. Those aged 46 - 55 are concerned with batik products'overall harmonious shape and practicality with less demand for aesthetic appeal. Seen from monthly income consumers with an income of less than 5 000 yuan value the aesthetics environmental friendliness and personalized style of batik products those earning 5 000 - 7 000 yuan focus on the artistic sense personalization and cultural meanings conveyed by the patterns of batik products consumers with an income of 7 001 - 10 000 yuan are more concerned with the aesthetic appeal of the batik patterns and the quality of the batik those with an income of over 10 000 yuan prioritize the overall shape and cultural essence of batik products. Therefore in the design of Gejia batik products designers should focus on the varying needs of consumers of different genders ages and monthly incomes to design batik products with emphasis accordingly. By segmenting the consumer market for batik products the design positioning can be made more accurate. Through this study we aim to promote the modern inheritance and innovation of the traditional craft of Gejia batik while also providing market-oriented design reference for related designers and manufacturers to better meet consumer needs and drive the sustainable development of the industry. However this study also has certain limitations. For example after categorizing user groups by different genders ages and monthly incomes the overall sample sizes of each category are not balanced which may impact the final categorization of demand element attributes. Therefore in future research it is possible to balance the sample size proportions of different types of consumers in advance to further enhance the accuracy and reliability of the conclusions. [ABSTRACT FROM AUTHOR]

The diversity of consumer demand for take-out food has led to the characteristic structure of one order with multiple items, where the different food items in a single order are provided by two or more merchants. In the context of multi-item delivery for take-out orders with time windows, this study investigates vehicle routing for order delivery. This research aims to improve the service level of merchants and the efficiency of delivery vehicles. Food vendors receive orders from consumers through online platforms, then package the food items according to the orders. This method is a preliminary exploration of the issue of fulfilment of takeout orders on online platforms, and can provide preliminary theoretical support for decision-making on the delivery process of takeout orders on online platforms. In the context of online catering sales platforms and offline food sales merchants, this paper studies the delivery problem of takeaway orders with a time window and the characteristics of one order and multiple items, and constructs a method that takes the order delivery time requirements into account and minimizes the total order fulfilment cost. Taking into account the time window constraints of both physical restaurants and consumers, genetic algorithms are utilized to solve the order delivery problem. Finally, through case studies and experiments, the effectiveness and feasibility of the mathematical model are validated. Practical recommendations and insights are provided from the perspective of management and route planning. [ABSTRACT FROM AUTHOR]

This paper investigates the asymmetric demand for clean energy for a panel of OECD countries. We construct a price index for clean energy based on information on the energy composition of electricity generation, and focus on the possibility of non-symmetric clean and dirty clean consumption due to rising and falling energy prices, and to positive income growth and negative income growth. Using an Autoregressive Distributed Lag (ARDL) model that encapsulates both long-run equilibrium among energy demands, energy prices and income, and short-run dynamics. We find evidence that clean energy demand adjusts more aggressively to a price decline than a price rise. In addition, we find that clean energy consumption is more responsive to negative income changes than to positive income changes. A climate policy implication is that policy should account for reversal effect of clean energy consumption during periods of economic downturn. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Animal Production & Processing Technology / JurnalIlmu Produksi dan Teknologi Hasil Peternakan is the property of IPB University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article analyzes the key interactions between household consumption, dynamic and structural characteristics of economic development in 2011–2020. Based on the analysis of input–output tables, the contribution of population demand to the formation of production and imports is considered. The stability of structural characteristics during the period under review is demonstrated, regardless of the shocks observed in the economy. The weak influence of population demand on the production of high-tech goods and services is shown, which is explained by the unfavorable consumption structure. The impact of household consumption on production indicators is assessed taking into account the existing system of inter-industry interactions. Calculations demonstrate a gradual increase in the influence of population expenditures on the development of human capital. A steady downward trend in the share of labor compensation in gross output and value added in 2011–2020 is stated. This is one of the indicators of increasing the efficiency of the use of labor resources in the Russian economy. The change in the share of wages in the structure of gross output by type of economic activity is considered. It is stated that there are sectors of the economy with significant reserves for increasing wages. [ABSTRACT FROM AUTHOR]

AbstractThis study examines the effect of pricing practices and other factors on consumers’ buying behavior in the UAE in the post-Covid-19 era. The focus is on buying from hypermarkets. Other factors such as product quality, the possibility of paying with cards, convenient hypermarket layout, near location, not-crowded hypermarkets, and the way prices are written are also investigated. The effects of factors such as gender, marital status, age, income, education, and shopping frequency were examined. A questionnaire built based on a literature review was used to collect data from 180 respondents in the UAE. Statistical methods such as the one-sample t-test, two-sample t-test, ANOVA, and correlation were utilized. R statistical tool was used for data analysis. Results showed that product quality is more important than lower prices. However, lower prices are still a key factor that determines where consumers will buy from and how much they will buy. Highly educated consumers place more importance on a well-designed hypermarket with wide aisles and not being crowded. Generally, factors other than prices are also important. Men and married people care more about prices than other respondents. For this reason, they look for good prices in distant hypermarkets. Decision-makers need to consider such factors and focus on improving customer service to increase customer loyalty. It is also essential for them to keep up with the changing preferences and needs of their customers.

The study utilizes China Household Panel Survey (CFPS) data from 2010 to 2020 to create a spatial panel Durbin model and examines the spatial spillover effect of the income gap on consumer demand using spatial econometric techniques. Studies have shown that the income gap has a notable inverted U-shaped influence on consumer demand, and there is a strong inverted U-shaped spatial spillover effect between surrounding locations. Expanding the income difference within a specific range boosts consumer demand in both local and surrounding areas. Further increasing the income difference impedes the growth of consumer demand in both local and surrounding regions. Regional variations significantly impact how the income gap affects consumer demand through spatial spillover. From the perspective of consumption quantity, the "inverted U-shaped" inflection point in economically developed regions and eastern regions is on the left side of economically underdeveloped regions and western regions; from the perspective of consumer quality, this result is exactly the opposite. China should persist in enhancing efforts to advance income distribution system reform and improvement, bolster the development of inclusive, fundamental, and grassroots livelihoods, manage residents' income gap amid evolving income levels, and stimulate consumer demand in local and neighboring regions. [ABSTRACT FROM AUTHOR]

Thorough understanding of user demands and formulation of product development strategies are crucial in product design, and can effectively stimulate consumer behavior. Scientific categorization and classification of demands contribute to accurate design development, design efficiency, and success rates. In recent years, e-commerce has become important consumption platforms for smart wearable products. However, there are few studies on product design and development among those related to promoting platform product services and sales. Meanwhile, design strategies focusing on real consumer needs are scarce among smart wearable product design studies. Therefore, an empirical consumer demand analysis method is proposed and design development strategies are formulated based on a categorized interpretation of demands. Using representative smart bracelets from wearable smart products as a case, this paper classifies consumer demands with three methods: big data semantic analysis, KANO model analysis, and satisfaction analysis. The results reveal that analysis methods proposed herein can effectively classify consumer demands and confirm that differences in consumer demand categories have varying impacts on consumer behavior. On this basis, corresponding design strategies are proposed based on four categories of consumer demands, aiming to make product design the leading factor and promote consumer behavior on e-commerce platforms. This research further enriches demand research on smart wearable products on e-commerce platforms, and optimizes products from a design perspective, thereby promoting consumption. In future research, different data analysis methods will be tried to compare and analyze changes in consumer demands and influencing factors, thus improving research on impact factors of product design in e-commerce. [ABSTRACT FROM AUTHOR]

The article presents an analysis of key changes in the environment conditions affecting the Russian automotive market on both manufacturer and consumer sides. The impact of the worsening foreign trade conditions, the possibilities of localization and expansion of production within the country, and key factors of influence on consumer demand for cars in the current economic conditions are assessed. Key factors that can be transformed into quantitative indicators are defined. Analytical tools for forecasting motorization rates and car sales are presented. Estimated values of these indicators under different scenarios are provided. It is concluded that certain scenarios imply risks for population mobility and public health; the burden of offsetting these risks may fall on the state. Scenarios in which these risks are avoided also require active state policies. [ABSTRACT FROM AUTHOR]

Copyright of Bulletin of the L.N. Gumilyov Eurasian National University. Technical science & Technology series is the property of L.N. Gumilyov Eurasian National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We empirically test whether and how digital finance impact green innovation utilizing data from Chinese listed companies and the Digital Inclusive Finance Index at the city level over the period from 2011 to 2020. The results show the following: (a) digital finance has a positive impact on green innovation, (b) improving consumer demand and strengthening market competition are two important influence channels, (c) customer concentration and corporate social responsibility are two important moderating variables that affect the aforementioned product market mechanisms, and (d) the positive impact of digital finance is more prominent within state-owned enterprises, companies with high financial risks, economically underdeveloped regions, and low-polluting industries. This research provides insights for China and similar economies on how to leverage the significant role of digital finance in achieving their net-zero-carbon targets. [ABSTRACT FROM AUTHOR]

The article is devoted to the study of consumer expectations influence on the volume of produced spending within the framework of consumer preferences. The relevance of the study is related to the current processes in consumer market, which are characterized, on the one hand, by decrease in population income real volume, and on the other hand, by withdrawal of major international brands from Russia due to sanctions pressure. The classical theory of William Strauss and Neil Howe developed in 1991 was chosen as a methodological basis for demographic division of respondents of different generations. The purpose of the study is to analyze consumer preferences within two demographic generations (generations X and Z) related to spending due to expectation of crisis phenomena in consumer market. To test this hypothesis, a questionnaire survey was conducted among the representatives of the two generations. The respondents were students aged 17–21 (generation Z) and their parents aged 45–55 (generation X).

The growing global emphasis on environmental issues has driven companies to exert greater efforts on making their products more sustainable. Natural dyeing, an eco-friendly dyeing method used in the textile and apparel industry, is safer for both the environment and human health, aligning with the needs of sustainable design development. This paper examines the key factors affecting Chinese consumers' satisfaction with naturally dyed garments, aiming to provide research-based strategies for the design and development of such garments. In this study, we utilized the KJ method for the detailed categorization of the functionalities of naturally dyed garments, establishing five dimensions and thirty demand indicators. Based on this, the KANO model, coupled with the Better–Worse coefficient and the quadrant analysis method, was used to classify different demand items, ranking their satisfaction and importance. The results indicate that the wearing experience and environmental characteristics of products are key determinants influencing Chinese consumers' demand for naturally dyed clothing. The top five factors significantly impacting product satisfaction, in descending order of importance, are comfort, environmentally friendly dyeing techniques, safety, degradability, and durability. Therefore, to ensure consumer satisfaction with naturally dyed clothing, these factors should be prioritized when establishing a support system that caters to consumer needs. Our findings can help companies to better understand consumers' actual need for naturally dyed garments, enabling the more targeted development and optimization of such garments, enhancing product competitiveness, and promoting the green transformation and sustainable development of enterprises. Simultaneously, this study also contributes novel theoretical approaches and ideas for future research on consumer demand. [ABSTRACT FROM AUTHOR]

Accurately reflecting expected prices in stated preference designs can be challenging for foods like ribeye steak, which exhibit stark fluctuations in prices across time and space. To address this issue, we introduce a novel price vector design, the reference‐price‐informed (RP‐informed) design, which directly incorporates individual's reference prices into discrete choice experiments. By presenting consumers with posted prices that align with their expected prices, this design reflects real‐world food markets. We test this design in a discrete choice experiment evaluating consumer preferences for "low carbon" beef. Our results project a very small market share of low‐carbon ribeye (3%–5%) with conventional meat taking up most of the market. Our results also show that a reference‐price‐informed design reduces reference price uncertainty and leads to more conservative market share estimates than traditional designs, thus preventing the potential overestimation of product's market potential. [ABSTRACT FROM AUTHOR]

Purpose: The authors hope to filter valuable information from online reviews, obtain objective and accurate information about the demands of auto consumers and help auto companies develop more reasonable production and marketing strategies for healthy and sustainable development. This paper aims to discuss the aforementioned objectives. Design/methodology/approach: The authors collected review data from online automotive forums and generated a corpus after pre-processing. Then, the authors extracted consumer demands and topics using the LDA model. Finally, the authors used a trained Word2vec tool to extend the consumer demand topics. Findings: Different types of vehicle consumers have the same demands, such as "Space," "Power Performance," and "Brand Comparison," and distinct demands, such as "Appearance," "Safety," "Service," and "New Energy Features"; consumers who buy new energy vehicles are still accustomed to comparing with the brands or models of fuel vehicles; new energy vehicles consumers pay more attention to services and service quality during the purchasing and using process. Research limitations/implications: The development time of new energy vehicles is relatively short, with some models being available for only one year or even six months. The smaller amount of available data may impact the applicability of topic models. The sample size, especially for new energy vehicles, needs to be increased to improve the general applicability of topic models further. Practical implications: First, this measure helps online review websites improve their existing review publication mechanisms, enhance the overall quality of online review content, increase user traffic and promote the healthy development of online review websites. Second, this allows for timely adjustments in future product production and sales plans and further enhances automotive companies' ability to leverage online reviews for Internet marketing. Originality/value: The authors have improved the accuracy and stability of the fused topic model, providing a scientific and efficient research tool for multi-dimensional topic mining of online reviews. With the help of research results, consumers can more easily understand the discussion topics and thus filter out valuable reference information. As a result, automotive companies may gain information about consumer demands and product quality feedback and thus quickly adjust production and marketing strategies to increase sales and market share. [ABSTRACT FROM AUTHOR]

Abstract Background Chinese urban residents consume more salt from meals prepared outside home than in the past. The purpose of this study is to understand Chinese consumer demand for salt reduction as expressed through their orders on meal delivery apps (MDAs), restaurants’ willingness to promote salt reduction, and the extent to which restaurants comply with reduced salt requests. Methods We analyzed consumer comments extracted from 718 restaurants on a Chinese MDA called ELEME for orders made in the July-December 2020 timeframe. A self-designed questionnaire was distributed to the restaurant managers to assess restaurants’ attitude towards salt reduction upon signing up for the study, and laboratory validation was conducted to test whether dishes ordered with reduced salt requests by consumers actually contained less salt. Results A total of 25,982 (0.7%) orders out of 3,630,798 orders contained consumer comments. Of the consumer comments, 40.6% (10,549) were about requests for less salt in dishes. Totally 91.5% of 421 surveyed restaurants showed a willingness to respond to consumers’ reduced salt requests. The median sodium content measured in the reduced-salt dishes by the laboratory was significantly lower than that in their regular salt counterparts (P

AbstractBiofortified foods are smart and strategic nutritious foods which plays critical role in addressing global burden of micronutrients in many emerging economies. While there is more and more consensus about the potential benefits of biofortification, the challenge lies on how to scale up its consumption and market system. This requires understanding of the dynamics of the biofortified cassava consumer demand and producers supply. Therefore, the study aims to identify the demand and supply drivers for biofortified foods and how it affects the food security of households across Nigeria.. A survey was administered to 240 willing consumers and 90 producers of biofortified cassava. The results revealed that price, marketing orientation, institutional support, price of substitute and education had a significant influence on supply, while the price of substitute, expenses on nutritional products, awareness of benefits, income, recommendation from experts, and education had a significant impact on demand for biofortified cassava. Our study lends support to the important role of communication to improve awareness and increase adoption, and also recommends institutional and infrastructural support to encourage market orientation and investments in biofortified crops. Our study provided evidences that scaling up sustainable market growth for biofortified foods required the convergence of consumer knowledge, awareness and expert recommendations, as well as effective communication strategies. Our concluded that dynamics of demand and supply of food must be targeted at enhancing access, availability and utilization of food to achieve goal of the SDGs.

Previous research links organic purchasing motivations to personal and family health. We conduct a national survey to explore whether this preference intensifies when preparing family meals, especially during Thanksgiving. We find that approximately 83% of consumers change their consumption habits for Thanksgiving, with a notable preference for organic products. Results from the choice experiment indicate willingness to pay premiums for Thanksgiving-themed items, especially those with USDA-certified organic or certified naturally grown labels. These findings underscore policy initiatives that strengthen consumer understanding of organic certifications and support producers in securing them, capitalizing on the seasonal demand surge. [ABSTRACT FROM AUTHOR]

Background: Chinese urban residents consume more salt from meals prepared outside home than in the past. The purpose of this study is to understand Chinese consumer demand for salt reduction as expressed through their orders on meal delivery apps (MDAs), restaurants' willingness to promote salt reduction, and the extent to which restaurants comply with reduced salt requests. Methods: We analyzed consumer comments extracted from 718 restaurants on a Chinese MDA called ELEME for orders made in the July-December 2020 timeframe. A self-designed questionnaire was distributed to the restaurant managers to assess restaurants' attitude towards salt reduction upon signing up for the study, and laboratory validation was conducted to test whether dishes ordered with reduced salt requests by consumers actually contained less salt. Results: A total of 25,982 (0.7%) orders out of 3,630,798 orders contained consumer comments. Of the consumer comments, 40.6% (10,549) were about requests for less salt in dishes. Totally 91.5% of 421 surveyed restaurants showed a willingness to respond to consumers' reduced salt requests. The median sodium content measured in the reduced-salt dishes by the laboratory was significantly lower than that in their regular salt counterparts (P < 0.05). Conclusions: We observed substantial consumer demand for salt reduction while ordering meals on the MDA and that restaurants did, in response, reduce the sodium content in the meals they provided. As meals delivered via MDAs comprise an increasing proportion of outside foods consumed, there is an opportunity for public health experts and policy makers to work with MDAs and restaurants to promote healthier food selections. Trial registration: ChiCTR2100047729. [ABSTRACT FROM AUTHOR]

The rapid globalization of seafood trade over the past few decades has triggered heightened vulnerability for fraud within the seafood supply network. Consumer perceptions of these vulnerabilities are not limited to imported seafood products, as spillover effects are likely to influence purchasing behavior for domestically produced seafood as well. Using a between-sample survey experiment with 1,272 respondents in differing informational settings, we investigate whether consumer WTP for local seafood is impacted by information regarding seafood fraud. Consistent with previous studies, our results indicate that consumers broadly derive positive utility from consuming locally sourced relatively to imported seafood. Upon further disaggregation, however, we find that for one consumer segment, which we term the price-sensitive group, localness does not command a significant positive premium. Most importantly, we demonstrate that information regarding international seafood fraud largely did not alter local seafood demand. That said, we find some evidence of a negative spillover effect of the information treatment on US-labeled seafood in one of the consumer subgroups. [ABSTRACT FROM AUTHOR]

Copyright of Wool Textile Journal is the property of National Wool Textile Science & Technology Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Contamination of food may occur at any stage in the process from “farm to fork”. The consumption of food contaminated with infectious bacteria, viruses and parasites, and noninfectious chemicals and toxins may cause over 200 diseases that range from diarrhea to cancers. Conventional packaging systems are sophisticated, and passive and only protect the environment. Currently, there is an elevation in new consumer demands such as improved communication capabilities in packaging systems. To satisfy the demand, smart packaging systems may be designed and employed. In this review, the mode of action adopted to ensure safety and security by various smart packaging techniques for food products such as fruits, vegetables, dairy products, baked goods, meat products, beverages, and space foods is discussed. Active packaging technology focuses on maintaining the quality and enhancing the shelf‐life of food products. The elements of active packaging systems meet up the real market needs by incorporating functional agents into the packaging material. Intelligent packaging technology indicates the freshness, quality, safety, and security of food products and posses quality identification systems to effectively communicate with consumers. This review aims to analyze and interpret the concept of smart packaging systems, consumer perception, and their application in various food sectors.

Designing and manufacturing functional bioactive ingredients and pharmaceuticals have grown worldwide. Consumers demand for safe ingredients and concerns over harmful synthetic additives have prompted food manufacturers to seek safer and sustainable alternative solutions. In recent years the preference by consumers to natural bioactive agents over synthetic compounds increased exponentially, and consequently, naturally derived phytochemicals and bioactive compounds, with antimicrobial and antioxidant properties, becoming essential in food packaging field. In response to societal needs, packaging needs to be developed based on sustainable manufacturing practices, marketing strategies, consumer behaviour, environmental concerns, and the emergence of new technologies, particularly bio- and nanotechnology. This critical systematic review assessed the role of antioxidant and antimicrobial compounds from natural resources in food packaging and consumer behaviour patterns in relation to phytochemical and biologically active substances used in the development of food packaging. The use of phytochemicals and bioactive compounds inside packaging materials used in food industry could generate unpleasant odours derived from the diffusion of the most volatile compounds from the packaging material to the food and food environment. These consumer concerns must be addressed to understand minimum concentrations that will not affect consumer sensory and aroma negative perceptions. The research articles were carefully chosen and selected by following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines.

Animal diseases in production and subsistence environments have the potential to negatively affect consumers, producers, and economies as a whole. A growing global demand for animal sourced food requires safe and efficient production systems. Understanding the burden of animal disease and the distribution of burden throughout a value chain informs policy that promotes safe consumption and efficient markets, as well as providing more effective pathways for investment. This paper surveys existing knowledge on the burden of animal disease across economic categories of production, prevention and treatment, animal welfare, and trade and regulation. Our scoping review covers 192 papers across peer-reviewed journals and reports published by organizations. We find there exists a gap in knowledge in evaluating what the global burdens of animal diseases are and how these burdens are distributed in value chains. We also point to a need for creating an analytical framework based on established methods that guides future evaluation of animal disease burden, which will provide improved access to information on animal health impacts.

The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the combined TOE/fsQCA model taking into account the synergy of factors influencing student behavior at all stages of the educational process from entering the course to its completion. The research identified 4 and 3 configurations with high to medium and low intention to start learning on the MOOC platform, respectively. Since focusing on consumer demand allows for designing a high-quality MOOC platform, it is advisable to use the combined TOE/fsQCA model both at the stage of constructing the platform structure and at the learning stage to identify optimal learning trajectories taking into account the personal needs of students. Prospects for further research lie in the refinement of conventions, in-depth analysis, and a more detailed study of causal relationships that influence the behavioral motives of MOOC platform students. [ABSTRACT FROM AUTHOR]

Copyright of China Surfactant Detergent & Cosmetics (2097-2806) is the property of China Surfactant Detergent & Cosmetics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The use of plastics in horticulture is reviewed with respect to its sustainability based on the traditional criteria of triple Rs (reduce, reuse, and recycling) plus a re-place strategy, taking into account possible alternatives. Hail (and insect) nets made of HD-PE, with their long-term use mostly on apple and polytunnels of LD-PE for cherry and strawberry as well as solarisation mulches (reuse), were found to be relatively sustainable solutions for their needs and are currently without alternatives. In contrast, standard black mulch, with its largest share among horticultural plastics, had the widest range of sustainable alternatives, ranging from biodegradable to spray mulch; few sustainable alternatives are available for fleeces and reflective mulches. For the third sustainable option, pilot recycling schemes were examined, such as PolieCoTM (Italy), MAPLATM (Spain), and ERDETM (Germany); they collect 30–50% of the agricultural plastics used in their respective areas, with a successful retrieval growth rate of ca. 20% per year in the case of ERDETM. For the fourth new R option (replace), future sustainability perspectives for the predominant black mulch are research into and development of better, biodegradable, non-fossilbased plastics, sprayable mulch; microbes for the digestion of deployed polyolefins and, for a certain limited range (on shade tolerant crops or in high-light intensity environment), hail nets and polytunnels that are equipped/substituted by/with solar panels ("agri pv") for the concomitant sustainable production of green renewable energy. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the affective Kansei/affective design elements of Taiwanese wooden furniture and the consumer demand and perception for the design using Kansei engineering methodology and fuzzy theory. An online survey was conducted to carry out triangular fuzzy linguistic analysis from fuzzy theory and understand the consumers' demands and perceptions of the design elements of wooden seat shapes. The research results showed that consumers agreed with "sturdy" the most, indicating the element needs to comply with the demand and purchase intention of consumers. In terms of the Kansei design elements of a rectangular seat shape, consumers' agreement on "elegant" was medium, while consumers agreed with "novel" the least. The research results provide the Taiwanese wooden furniture industry and designers with a reference for decision-making, design, and manufacturing. [ABSTRACT FROM AUTHOR]

This study examined monthly retail‐level price premiums for grass‐fed beef (relative to conventional grain‐fed beef) in the United States from 2014 through 2021. We found that premiums were heterogeneous, with premium cuts, such as sirloin steak, tenderloin, ribeye and filet mignon enjoying the highest premiums. Premiums were not consistent with price levels, as the lowest premiums were observed for short ribs, skirt steak and flank steak. Our findings suggest that grass‐fed beef price premiums were negatively affected by the consumption of food away from home. Changes in income, increased information about taste, protein and minerals, fat, revocation of the USDA grass‐fed certification program in 2016 and COVID‐19 pandemic, also affected premiums for several individual cuts. Premiums were not sensitive to changes in information about climate change. [EconLit Citations: Q11, Q13]. [ABSTRACT FROM AUTHOR]

This paper evaluates the price and consumption effects of the first municipal soda tax imposed in the United States. Using high-resolution scanner data and data-driven approaches to select comparison units for counterfactual analysis, we estimate the tax has no effect on prices or consumption at drugstores, but increases supermarket prices of some soda products, constituting a minority of soda consumption. We estimate UPC-level pass through rates and find that there is significant heterogeneity across UPCs, much of which is explained by brand and size; average UPC-level pass through estimates in the supermarket range between 19% and 23%. We find limited evidence of reduced supermarket purchases of soda in the taxed jurisdiction. Half of these reduced purchases are substituted to just outside the taxed jurisdiction. Retailers' limited price responses are attributed to the localness of the tax; other research studying the Philadelphia soda tax has demonstrated more substantial pass-through in this much larger jurisdiction. [ABSTRACT FROM AUTHOR]

The article considers features of the formation of household income, consumer demand, and savings in the crisis conditions of the coronavirus pandemic and drop in prices for commodity exports. Household income, consumer demand, and savings were analyzed in the context of decile groups of regions, formed according to average per capita income, taking into account interregional price differentiation. The impact of social support measures as a factor in income stabilization is assessed. The dependence of the dynamics and structure of consumer spending on the household income is considered, and it is shown that consumer spending decreased even in regions where incomes increased. In the structure of consumer spending in all regions, the share of spending on goods increased, while the share of spending on services decreased. Widespread growth in the personal savings was noted, which in rich regions took place to a greater extent as an increase in bank deposits, and in regions with low incomes, mainly as an increase in cash in the hands of the population. Household spending on real estate increased, including at the expense of housing loans. Despite the decrease in volume of loans issued to the population in 2020, the credit burden on income increased. Changes in the structure of household expenditures can be assessed as a movement towards the "survival model" of households. [ABSTRACT FROM AUTHOR]

Abstract Individuals across Cambodia depend on the use of natural products in Traditional Khmer Medicine (TKM), a traditional medicine system in Cambodia that has been practiced for hundreds of years. Cambodia is rich in fauna and flora species, many of which have been, and continue to be, traded domestically for traditional medicine use. Combined with other known exploitative practices, such as snaring for wild meat consumption and international trade in wildlife, domestic trade in wildlife medicine threatens populations of regional conservation importance. Here, we provide an updated understanding about how TKM is practiced in modern times; how TKM practices are transmitted and adapted; and roles of wildlife part remedies in TKM historically and presently. We conducted semi-structured interviews with TKM practitioners in Stung Treng, Mondulkiri Province, and at the National Center for Traditional Medicine in Phnom Penh, the capital of Cambodia. TKM is generally practiced in the private sector and is mostly informal, without enrollment in any academic training. TKM practitioner roles commonly involve collecting, preparing, selling, and advising on medicine, rather than providing direct treatment. Over half of the interviewed TKM practitioners (57.6%) were still prescribing wildlife parts as medicine over the past 5 years, with 28 species of wild animals reported. Lorises and porcupine were the wildlife products cited as being in highest demand in TKM, primarily prescribed for women’s illnesses such as post-partum fatigue (Toas and Sawsaye kchey). However, the supply of wildlife products sourced from the wild was reported to have dropped in the 5 years prior to the survey, which represents an opportunity to reduce prescription of threatened wildlife. We suggest that our results be used to inform tailored demand reduction interventions designed to encourage greater reliance on biomedicine and non-threatened plants, particularly in rural areas where use of biomedicine may still be limited.

With the emergence of demand-based ticket pricing, professional sport organizations and marketers will benefit from a thorough understanding of pricing in the demand-driven secondary market. Ticket pricing studies often take divisional affiliation as a control variable; little research has focused on and examined the importance of divisional affiliation for secondary market ticket prices. Different from work indicating consumers' preference for divisional games, this study revealed that higher ticket prices (i.e., consumer demand) accompanied non-divisional games. Additionally, the number of years between the away team's visit to the home team's stadium and the away team's current winning percentage each played a significant role (explained by roughly 49% of the variance) in higher ticket prices for non-divisional games in the National Football League. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We investigate consumers' willingness to pay premiums for environmentally sustainably produced meat and plant‐based meat substitutes. We conducted a randomized control study coupled with an incentive‐compatible experimental auction. Treatment consisted of information nudges concerning the environmental and health externalities of meat production and consumption. Results show that demand for sustainably produced beef and a plant‐based meat substitute is inelastic. We elicited participants' time preferences to analyze whether consumer behavior varies with their time preference. Present‐biased treated female participants were willing to pay a significantly lower premium for sustainably produced beef compared to the present‐biased control female participants. Future‐biased treated participants had a higher probability of being willing to pay a premium for a plant‐based meat substitute compared to the control group. We discuss the policy implications and relevance of information nudging, such as labeling, and how the effect of such nudging varies with participant characteristics. [ABSTRACT FROM AUTHOR]

Consumer attitude combines cognitive information, beliefs, emotions, and behavioural intentions regarding a particular consumer product or service. Consumers' attitudes help marketers better understand how they perceive and what values and beliefs they hold towards an object. A few selected hoteliers no longer hold the hotel market; with an increasing footfall of consumers and consumers becoming extra demanding, marketers are becoming increasingly aware of consumer perceptions and attitudes. Hoteliers are adopting several promotional methods, and green marketing is one tool to attract environmentally conscious consumers. In this framework, an effort has been made in this study to investigate consumer attitudes towards green hotels in India. Green hotels are those hotels that have made essential adaptations and modifications in order to minimize their impact on the environment. Hotels that are adopting green marketing practices can be classified as green hotels. Consumers have different attitudes regarding different attributes of green hotels, and the overall attitude affects their decision toward green hotels. There are different types of models on consumer attitude that have several factors that influence consumer attitude. In this research, efforts have been made to understand better overall consumer attitudes towards green hotels with the help of Fishbein's multi-attribute model. The study is grounded on primary data collected through a structured questionnaire using convenience sampling with a sample size of 100 respondents. There are three sections in this paper. The first section is the respondents' demographic profile, the following section covers the relative importance of different attributes concerned with green hotels described through descriptive statistics, and the last section covers the relationship of green hotel attributes with different variables. The results are expected to provide an overall understanding of consumer attitudes towards green hotels. [ABSTRACT FROM AUTHOR]