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There is always a matching effect in advertising persuasion – the information that matches product characteristics or target consumer characteristics is considered to be relatively more persuasive. Based on the accessibility-diagnosability theory, this paper discusses the influence of the matching degree between the information presentation (vague description and precise description) and product attribute (vertical attribute and horizontal attribute) on people's attitudes toward advertising.

Study 1 aims to explore the impact of the matching effect of different information presentation methods (precise presentation vs vague presentation) and product attribute (horizontal attribute vs vertical attribute) on consumers' attitudes toward advertising; secondary data was used to support this research. Study 2 mainly used the situational simulated experiment to examine the results of study 1, and further explored the mediating mechanism of its matching effect.

The authors found that the matching degree between the information presentation method and product attribute will positively affect the fluency of advertising information processing, that is, the use of vague description of product vertical attribute can positively affect consumers' extraction fluency; while the use of precise description of product horizontal attribute can positively affect consumers' processing fluency, and both extraction fluency and processing fluency will positively affect consumers' attitude toward the advertisement.

An essential enlightenment of the research is that it sheds light on the interaction between product attribute (vertical attribute vs horizontal attribute) with the information presentation method (vague description vs precise description) from the perspective of accessibility-diagnosability theory, which explains consumers' information processing mechanisms in dealing with different advertising information.

This study aims to investigate age and gender differences in young consumers’ attribute preferences that underlie their choice decisions. This research proposes and finds that attribute preferences are moderated by age but not gender. Understanding how children at different ages evaluate a product’s attributes is essential to new children’s product development.

Hierarchical Bayesian choice-based conjoint analysis was used to assess attribute importance via a series of choice tasks among children and adults. Adults completed the study by survey, whereas children were interviewed and led through the choice tasks.

This research finds that the preference structure for a product’s attributes differs systematically based on the age of children. Younger children chose based on perceptually salient attributes of a product, whereas older children chose based on cognitively salient attributes. When children’s attribute preferences are compared to adults, older children value attributes more similarly to adults than younger children. While gender differences were proposed and found, further analysis indicated that these differences were driven by adults in the sample and that no gender differences existed in the children’s age categories.

This study is the first to study children’s preference structure in complex choices with different ages preferring different attributes. By using conjoint analysis, this research is able to understand children’s underlying decision process, as utility scores are obtained providing a level of precision for understanding the underlying process of children’s choices that other studies have not used.

Integrating new technological attributes into existing products is a common way to innovate and is supposed to meet consumers’ functional needs. This paper aims to demonstrate how adding such attributes also increases willingness to pay (WTP) a premium for a product by activating consumers’ social need to feel unique.

The data were collected through a quantitative survey based on a nationally representative sample (N = 345). A choice-based conjoint analysis was used to estimate the perceived value of the new technological attribute and WTP a premium.

The perceived value of the new technological attribute has a positive effect on WTP a premium only for consumers with a high degree of social innovativeness (linked to their need for uniqueness) because they interpret this innovation as an opportunity to differentiate themselves from others.

When companies innovate by introducing new technological attributes, their communication should emphasize and trigger these attributes’ high performance and uniqueness. Thus, consumers seeking social differentiation through innovation will be much less sensitive to price and will be more prone to pay a premium for these products.

The main contribution of this article is to show that integrating and emphasizing a new technological attribute can increase consumers’ WTP a premium beyond that of the attribute’s functional value. Thus, new technological attributes will decrease the price sensitivity of consumers high in social innovativeness and increase their WTP a premium for the product, because they consider it as a means to stand out from others.

This paper studies how multichannel retailers choose the product quality level and decide which attribute to make prominent in their physical store in a competitive environment.

This paper develops a game theoretic model, in which multichannel retailers' decisions are made in three stages. Using prominent experiential attributes (e.g. functionality) in their offline store and product quality decisions, multichannel retailers are capable of transferring the sales between different channels.

This analysis shows that making different attributes prominent in their physical store may be an equilibrium, and each multichannel retailer chooses the highest quality level for the prominent attribute. However, the prominent attribute of the highest quality level is not always optimal. Under certain conditions, multichannel retailers may make the experiential attribute prominent in their respective physical stores, which can result in equilibrium.

The results indicate that multichannel retailers should avoid blindly highlighting high-quality attributes in a competitive environment, or falling into price completion.

From the perspective of prominent attributes, this study designs the optimal product line based on channel characteristics. The results of the research can provide practical implications for multichannel retailers to increase sales.

To examine the influence of the perceived quality of a protected designation of origin (PDO) product on consumer loyalty and buying intentions.

The study examines the relationships between intrinsic and extrinsic quality attributes, loyalty and buying intention. Information was obtained from an initial qualitative approach based on a group dynamic to allow the development of scales to quantify the different concepts. Personal interviews were then conducted with 251 consumers based on a structured questionnaire.

The study reveals the existence of a positive and significant relationship between the extrinsic attributes of a traditional food product and loyalty expressed by consumers. It also shows that the perceived quality associated with the intrinsic attributes of the product has a positive and significant influence on buying intentions.

The PDO should seek to foster the perceived quality of intrinsic attributes in order to enhance consumer buying intentions, which may be viewed as the pragmatic side of consumer behaviour, an expression of the behavioural side of their attitude, and a reflection of their actions and short‐term behaviour. It should also foster the perceived quality of extrinsic attributes so as to achieve greater loyalty which, in turn, will be expressed as an increase in repeat purchases. This loyalty may be considered from an attitudinal standpoint involving feelings and affects towards a product or brand, and is related with ideal images held by consumers about their own actions.

This paper shows that positive attitudes, feelings and affects towards symbolic factors are fundamental components of attitudinal loyalty. These aspects reflect the consumer ideal, because such attitudes are based on positive feelings and affects towards symbolic factors. This loyalty, in turn, constitutes the ideal behaviour with which the consumer identifies, although it is not necessarily his/her actual behaviour.

Products that espouse environmental ethical principles have received increasing attention in recent years. However, one key barrier against sustainable consumption is that green attributes could result in consumer’s expectation of decreased product physical performance. This study aims to investigate how green attributes existing in different product categories affect consumer purchase intention.

Two experimental studies were conducted to test the hypotheses. Study 1 provides initial evidence of the interaction effects between green attributes and product category on consumer purchase intention. Study 2 replicates the findings of Study 1 and further tests a benefits-based mechanism in the relationship between green attributes and consumer purchase intention.

The findings show that in the utilitarian product category, products with green peripheral attributes result in a higher purchase intention than those with green core attributes, whereas, in the hedonic product category, products with green core attributes result in a higher purchase intention than those with green peripheral attributes. Furthermore, the authors demonstrate that green attributes, as universal sustainability cues predominantly affect consumers’ perceptions of utilitarian environmental benefits and self-expression benefits, which further enhance their purchase intention towards utilitarian products and hedonic products, respectively.

This study responds to the calls for more empirical studies into discussing the role of green attributes in consumer purchase intention. Furthermore, it uncovers a benefits-based mechanism that explains how green attributes existing in utilitarian product categories and hedonic product categories trigger consumers’ analysis of benefits, leading to positive consumer purchase intention.

A model for analysis of consumer behaviour towards food is developed. This model is intended to bridge the gap between the objective quality approach pursued in food sciences, the product characteristics approach, and the subjectively perceived quality approach, the product attribute approach as pursued in the consumer behaviour literature. The focus is on the information processing by the consumer. Information on the product quality is supplied to the consumer in the form of cues received while shopping or consuming. A distinction is made between extrinsic and intrinsic cues, and between search‐, experience‐, and credence‐quality attributes. Within the credence attributes, three categories are distinguished: food safety, health, and all other credence quality attributes. It is demonstrated that public policy should use minimum standards for regulating food safety, information and consumer education on health issues and definitional standards to regulate the other credence qualities. In the case of search quality, no public intervention is needed. In the case of experience quality, reputation is a means of reducing the quality erosion inherent for experience quality attributes. In the case of those foods which are not sold prepacked over the counter, these means are restricted. Here the public regulators could consider backing up the private quality policy efforts on labelling by implementing traceability schemes and defining the requirements for specific label claims.

The purpose of this paper is to explore and examine the relative impact of product and channel attributes on luxury product shopping in the multi-channel environment.

A D-optimal discrete choice conjoint design was used. The data were analysed using a multinomial logit model and desirability indices.

Findings indicate that low price was the most important factor that influenced young consumers' preferences. After price, young luxury consumers placed a greater importance on channel attributes such as human-assisted service and virtual fitting rooms.

The sample consisted of young consumers in their 20s and 30s, who utilise both online and offline channels. Hence, the income level was relatively low. Also, the results cannot be generalised to all luxury consumers.

Providing preferable channel attributes is more crucial to young luxury fashion shoppers than focusing on improving product attributes, with the exception of price.

The paper proposes the optimal combination of key product and channel attributes that is most preferable to young luxury fashion consumers in the multi-channel environment.

Because of short life cycle and fluctuating greatly in total sales volumes (TSV), it is difficult to accumulate enough sales data and mine an attribute set reflecting the common needs of all consumers for a kind of experiential product with short life cycle (EPSLC). Methods for predicting TSV of long-life-cycle products may not be suitable for EPSLC. Furthermore, point prediction cannot obtain satisfactory prediction results because information available before production is inadequate. Thus, this paper aims at proposing and verifying a novel interval prediction method (IPM).

Because interval prediction may satisfy requirements of preproduction investment decision-making, interval prediction was adopted, and then the prediction difficult was converted into a classification problem. The classification was designed by comparing similarities in attribute relationship patterns between a new EPSLC and existing product groups. The product introduction may be written or obtained before production and thus was designed as primary source information. IPM was verified by using data of crime movies released in China from 2013 to 2017.

The IPM is valid, which uses product introduction as input, classifies existing products into three groups with different TSV intervals, mines attribute relationship patterns using content and association analyses and compares similarities in attribute relationship patterns – to predict TSV interval of a new EPSLC before production.

Different from other studies, the IPM uses product introduction to mine attribute relationship patterns and compares similarities in attribute relationship patterns to predict the interval values. It has a strong applicability in data content and structure and may realize rolling prediction.

Previous researchers have established that brand names are important in determining perceptions of brand quality and attitude towards the product. In this research we investigate the role of brand name in shaping consumers’ evaluation of search, experience, and credence attributes. The findings confirm that, prior to trial, brand name increases consumers’ perception of experience and credence attribute performance evaluations. However, prior to trial, brand name is found not to affect consumers’ perception of search attributes. Trial of the brand is found to reduce (and not eliminate) the advantage branded products have in enhancing consumers’ perception of experience and credence attributes.