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The use of multi-level labels can enhance product visibility by enabling labeling of various items. Moreover, it can better accommodate the diversity on both the producer and consumer sides. However, studies on the willingness to pay (WTP) for premium levels of those animal welfare labels are scarce.

We investigate consumers’ WTP for a four-level animal husbandry label introduced to the market by German retailers in 2019 by conducting an online survey with 1,223 German meat consumers using Van Westendorp’s price sensitivity meter (PSM).

There is a significant increase in WTP for level 3 of the husbandry label, but only a slight increase for level 4. One explanation is that consumers may have the mistaken belief that level 3 already includes outdoor access for animals. As a result of this expectation, consumers may not perceive much added value in level 4, which is reflected in their reluctance to pay a higher price. This is reinforced by the finding that once informed of the criteria, 18% of the participants reduced their WTP for level 3, whereas only 6% considered a discount for level 4. Furthermore, 40% were prepared to pay more for level 4 after being informed of the respective criteria than they had previously stated.

To the best of our knowledge, this study is the first to analyze and emphasize the importance of clear label communication, particularly for multi-level animal husbandry labels.

The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user profiling (UP) technology to draw a portrait of PT users can effectively understand users’ travel patterns, which is important to help optimize the scheduling of PT operations and planning of the network.

To achieve the purpose, the paper presents a three-level classification method to construct the labeling framework. A station area attribute mining method based on the term frequency-inverse document frequency weighting algorithm is proposed to determine the point of interest attributes of user travel stations, and the spatial correlation patterns of user travel stations are calculated by Moran’s Index. User travel feature labels are extracted from travel data containing Beijing PT data for one consecutive week.

In this paper, a universal PT user labeling system is obtained and some related methods are conducted including four categories of user-preferred travel area patterns mining and a station area attribute mining method. In the application of the Beijing case, a precise exploration of the spatiotemporal characteristics of PT users is conducted, resulting in the final Beijing PTUP system.

This paper combines UP technology with big data analysis techniques to study the travel patterns of PT users. A user profile label framework is constructed, and data visualization, statistical analysis and K-means clustering are applied to extract specific labels instructed by this system framework. Through these analytical processes, the user labeling system is improved, and its applicability is validated through the analysis of a Beijing PT case.

This paper aims to examine the unique Chinese context by analyzing the city labels (e.g. smart city and eco city) used by Chinese local governments at or above the provincial capital level to represent themselves (adopted city labels) and the developmental pathways they actually pursued (adopted developmental pathways).

The authors compared the city brand choices to those anticipated based on their geographic and economic contexts (predicted city labels and developmental pathways) as well as the directives outlined in national planning documents (imposed city labels and developmental pathways). The authors identified ten main categories of city labels used to designate themselves and establish the frequency of their use based on municipal plan documents, economic and geographic data and national plan documents and policy reports, respectively.

The authors discovered that both local economic development and geographic factors, as well as top-down administrative influences, significantly impact city branding strategies in the 38 Chinese cities studied. When these models fall short in predicting adopted city labels and pathways, it is often because cities favor a service-oriented reputation over a manufacturing-focused one, and they prefer diverse, multifaceted industrial images to uniform ones.

The originality and value of this paper lie in its contribution to the academic literature on city branding by developing a predictive model for brand development at the municipal level, with explicit attention to the national-local nexus. The paper’s approach differs from existing research in the first cluster of city branding by not addressing issues of stakeholder involvement or adoption and implementation processes. Additionally, the paper’s focus on the political power dynamics at the national level and urban governance details at the municipal level provides a unique perspective on the topic. Overall, this paper provides a valuable contribution to the field of city branding by expanding the understanding of brand development and its impact on the socioeconomic environment.

The current literature has not investigated the perceived value of energy efficiency by households, regardless of financial benefits. Furthermore, there is a severe lack of research that investigates the effectiveness of the current format of EPC-labels. Therefore, the purpose of this paper is twofold: to study how households value energy efficiency in the housing market, regardless of price effects.

This study uses multiple hedonic regression models to analyse 706,778 Flemish properties for sale or rent between 2019 and 2023. The data is provided by Immoweb – the largest online real estate platform in Belgium. Given that the selling market is driven by different mechanisms than the rental market, the data set was divided in sold (522,164 listings) and rented properties (184,614 listings).

The ambiguous results of the A-label in the selling market indicate that the “class evaluation effect” found in related markets which use labels (e.g. household appliances) is also present in the housing market. However, the results of the other (lower) labels clearly show that owners do value energy improvements within labels, and this effect becomes stronger as the EPC-label becomes better. The rental market shows the opposite results. Energy improvements are only valued if they translate into a financial benefit. Taking these findings into account, the second part of this research shows that rescaling the EPC-label creates an incentive for improvements within labels.

This paper provides novel insights by studying the perceived value of energy efficiency in the absence of financial benefits and critically studying the effectiveness of the EPC-labels in their current shape. By investigating both the sales and rental market, the authors are able to make a comparison which creates valuable insights for academia, governments and real estate professionals.

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web service classification approaches ignore the class overlap in Web services, resulting in poor accuracy of classification in practice. This paper aims to provide an approach to address this issue.

This paper proposes a label confusion and priori correction-based Web service classification approach. First, functional semantic representations of Web services descriptions are obtained based on BERT. Then, the ability of the model is enhanced to recognize and classify overlapping instances by using label confusion learning techniques; Finally, the predictive results are corrected based on the label prior distribution to further improve service classification effectiveness.

Experiments based on the ProgrammableWeb data set show that the proposed model demonstrates 4.3%, 3.2% and 1% improvement in Macro-F1 value compared to the ServeNet-BERT, BERT-DPCNN and CARL-NET, respectively.

This paper proposes a Web service classification approach for the overlapping categories of Web services and improve the accuracy of Web services classification.

This study aims to increase knowledge of the ability of nutrition labels to guide consumer choices in real-life environments.

Food consumption and plate waste data were collected from two self-service restaurants (SSR) with different customer groups over six observation days: three control and three intervention (with nutrition labelling) periods. Study Group 1 consisted of vocational school students, mostly late adolescents (N = 1,710), and Group 2 consisted of spa hotel customers, mostly elderly (N = 1,807). In the experimental restaurants, the same food was served to the buffets during the control and intervention periods.

The nutrition label in the lunch buffet guides customers to eat fewer main foods and salads and to select healthier choices. Increased consumption of taste enhancers (salt and ketchup) was observed in the study restaurants after nutritional labelling. Nutrition labelling was associated with a reduction in plate waste among the elderly, whereas the opposite was observed among adolescents.

The results provide public policymakers and marketers with a better understanding of the effects of nutrition labelling on consumer behaviour. Future studies should further evaluate the effects of nutrition labelling on the overall quality of customer diets and the complex environmental, social, and psychological factors affecting food choices and plate waste accumulation in various study groups.

This study analyses direct effects of risk-related factors on perceived quality for private labels.

A total of 159 usable data was collected through survey, using mall intercept method in one regional retail chain in Bosnia and Herzegovina.

The results confirm that the perceived risk has a significant and negative impact on consumers’ perceptions of the quality of private labels, and that the financial risk, performance risk, and physical risk are significant determinants of overall perceived risk, thus indirectly influencing the perception of the quality of these brands.

This chapter shows that the perceived quality of private labels is significantly determined by the perceived risk to which consumers are exposed. The findings of this research can help retailers in terms of adequately defining marketing policies aimed at reducing the perceived risk that consumers are exposed to when purchasing their own brands.

We test the proposition that criminal sentiments, which we define as a negative and potent view of a juvenile delinquent (JD), moderate the effect of a delinquency adjudication on self-sentiments. We expect criminal sentiments to reduce self-evaluation and increase self-potency among juvenile delinquents but have no effect on self-sentiments among non-delinquents. We also examine the construct validity of our measure of criminal sentiments by assessing its relationship to beliefs that most people devalue, discriminate against, and fear JDs.

We test these hypotheses with self-administered survey data from two samples of college students and one sample of youths in an aftercare program for delinquent youths. We use endogenous treatment-regression models to identify and reduce the effects of endogeneity between delinquency status and self-sentiments.

Our construct validity assessment shows, as expected, that criminal sentiments are positively related to beliefs that most people devalue, discriminate against, and fear JDs. Our focal analyses support our self-evaluation predictions but not our self-potency predictions.

Our findings suggest that the negative effect of a delinquency label on JDs’ self-esteem depends on the youths’ view of the delinquency label.

This study is the first to test a modified labeling theory proposition on juvenile delinquents.

The primary objective of this study is to explore the nuanced interplay of conspicuous consumption, ethical label purchasing and the ensuing dynamics of civic virtue and cynicism within the luxury foodservice context.

Grounded in a theoretical understanding of solidarity within the context of product consumption, this research employs a two-pronged approach involving secondary data analysis and scenario-based experimental studies. The initial phase involves analyzing firm-level data from the Euromonitor database in 2019 and 2021. The main study employs a between-subjects experimental design with a cohort of 316 participants sourced from an online panel.

The results reveal a consistent pattern in the consumption of luxury foodservice and underscore a distinct upward trajectory in consumer demand for ethically labeled food. Notably, these findings underscore the moderating role of ethical label purchasing in the relationship between conspicuous consumption and consumers civic virtue. Additionally, ethical label purchasing moderates the impact of conspicuous consumption on consumer cynicism, both directly and indirectly through emotional solidarity related to both communal and equitable principles.

This study holds significance for both luxury food service researchers and market design practitioners. It provides valuable insights into how ethical labeling interacts with consumers conspicuous consumption, all facilitated by emotional solidarity.

Centuries ago labeling and classification of people was insignificant; survival was the major concern. Individuals with disabilities were prevented from full participation in activities necessary for survival, were left out on their own to perish, and, in some instances, were even killed (Berkson, 2004). In later years, derogatory labels such as imbecile, stupid, and retarded were used to describe individuals who did not conform to the societal norms. Clearly, regardless of the terms used, their function was geared to exclude people with disabilities from facilities, and activities enjoyed by people without disabilities. Unfortunately, this resulted in alienation, isolation, and institutionalization of individuals with disabilities (Hallahan, Kauffman, & Pullen, 2009).