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This research paper aims to illustrate that the new product communication effects of mental simulation (process-vs. outcome-focused) might depend on product attributes (typicality and benefits). Communication effects include ad attitudes and product attitudes in this study.

One 2 (mental simulation: process-focused vs. outcome-focused) x 2 (attribute typicality: high vs. low) x 2 (attribute benefits: hedonic vs. utilitarian) between-subjects experiment design was conducted. SPSS was used to do data analysis.

This article reveals that high (low) typicality of new attributes causes a process-focused (outcome-focused) simulation to lead to better consumer attitudes (i.e. ad attitude and product attitude). In addition, for a new hedonic attribute, a low typical attribute induces better consumer attitudes. Furthermore, there are interaction among mental simulation, product attribute typicality and benefits. These findings have important implications for academic developments and marketing management.

Compared with previous studies, this study is unique in several ways. First, enterprises often develop new products by introducing new product attributes (i.e. new features). Product attribute typicality is an interesting issue for new product design and communication. This research illustrates that the marketing communication effects of attribute typicality depends on attribute benefits and mental simulation. Second, the current research finds the new product attribute benefit (i.e. hedonic/utilitarian) play an important role and moderates the effects of mental simulation on consumer attitudes.

This paper aims to empirically investigate the role of product positioning in the launch of food and drink products using a large dataset of new product development by food companies in Australia (AU) and New Zealand (NZ). As such, positioning through credence attribute claims can be associated with product launch strategies, including brand-new products, expansion of product ranges, new packaging and relaunch, as a response to market demand.

Text analysis was used to investigate the descriptions of food claims using Structured Query Language, providing a word list of food claims and further filtered and categorised into groups of claims. Multinomial regression models were then employed to analyse the association between product launch strategies and food claims adopted by firms.

The results of this paper provide evidence that positioning via food claims play an important role in product launch strategies in both AU and NZ. Types of food claims matter differently to firms' product launch decisions in the two markets. The “green” and “ethical” attributes are found to be associated with new launches in NZ but not in AU. Claims that are seen as most important for consumers are more likely to be engendered for the more costly launch approach.

This study is amongst the first studies that addresses the role of positioning in product launch strategies of food companies. The results and findings provide insights into the different prevailing credence attributes from the firm side and help policymakers to regulate the delivery of information about credence attributes to consumers.

This study aims to identify the appropriate combination of attributes that must be present to deliver value in a new product for a pharmaceutical enterprise.

The application object was the Metronidazole analytical standard, using choice experiments to product attributes and price.

The practical results indicate that consumer value anticipation allows entry into the market with higher competitiveness.

Conceptually, it uses a value delivery approach, generally applied to large companies, in a case aimed at enterprises. In practice, for the enterprise studied, the value anticipation by the consumer allows entry into the market with higher competitiveness.

This study aims to examine current dynamics, consolidates knowledge, elicits trends, identifies and analyses primary research streams and suggests future research on product attributes and benefits and consumer behavior.

Sequential bibliometric (447 documents) and content analysis (34 documents) methods are used to analyze Scopus bibliographic data. Content analysis helps identify research streams and future research directions, while bibliometric analysis aids descriptive analysis and science mapping.

The study shows publication trends, top authors, documents, institutions and field knowledge structures. The thematic map and bibliographic coupling reveal six main themes and three major clusters. Consumer motivation, external factors and internal factors are the main clusters. The study concludes with research directions and an integrated framework showing major cluster interactions.

The study summarizes key primary streams and identifies literature gaps to help scholars and marketers understand how product benefits and attributes influence consumer behavior. Online decision aids (ODA), neuroscience data collection and consumer behavior models in developing countries may be studied in the future.

The first hybrid review of quality articles published over two decades on product attributes and benefits synthesizes the field's research. The study is unique because it identifies and analyses research streams, develops an integrative framework to reveal interlinkages across streams and suggests future research directions.

This paper aims to revise the ideal ratio for selecting new products based on their qualitative analysis of desired/undesired functions.

The Kano model has been integrated with the ideal ratio to select and prioritize the design of new products. First, the functional analysis method in value engineering was used to determine the attributes and functions of each product design. Then, the Kano model was used to determine the type of each product attribute and to use the desirable functions of attractive attributes, one-dimensional, must-be and undesirable functions of reverse attributes in the ideal ratio to select and prioritize the design of the product. To examine the application of the proposed approach, a gas instruments manufacturing company was investigated, and five new products were selected for the study.

Based on the results, the product design of industrial regulator GS 77/22 was selected as the superior product and the digital diaphragm gas meter, ultrasonic gas meter, axial regulator and turbine gas meter had the second to fifth priority, respectively.

The proposed method can help product designers determine product designs suitable for customers' expectations and provide a desirable prioritization of the product design in terms of their ideal ratio according to the customers.

The proposed approach provides a more desirable prioritization compared with other prioritization methods based on customers' viewpoints. In the proposed method, the Kano model results in respecting customers, understanding community needs, respecting consumers' rights and increasing the organization's social responsibility, which will significantly increase the chance of product success in the market.

The authors investigate the varying impact of three categories of conflicting consumer reviews (i.e. conflicting opinions on attributes of a product item, conflicting ratings of an item and the intensity of conflicting reviews of an item) on the potential customers' perceived informativeness, which is expected to affect the perceived correct purchase.

To test their proposed hypotheses, the authors conducted an experiment using a 2 × 2 × 2 factorial design for each conflict type comprising two levels (low vs high).

The results of this study found that conflicting opinions on product attributes can enhance potential customers' perceptions of informativeness and subsequent correct purchase decisions while conflicting ratings and the intensity of conflicting reviews can diminish potential customers' perceptions of informativeness. In addition, conflicting ratings negatively moderate the effect of conflicting attributes on perceived informativeness such that the positive effect of conflicting attributes on perceived informativeness will be less prominent when conflicting ratings are present (vs absent).

While potential customers are browsing product descriptions, reviews and comments from other purchasers are also playing a role in influencing a potential customer's purchase decision. However, given the different experiences and temperaments of individuals, the subjective remarks and ratings of individuals are sometimes inconsistent or even conflicting, which can lead to confusion among potential customers. The authors categorize the positive or negative effects of the three conflicting reviews based on the two dimensions of ease of capture and product diagnosticity. The findings can help platforms optimize the display of product reviews to help potential customers make more accurate purchase decisions.

This paper aims to propose a method for dynamic product perceived quality analysis using social media data and to achieve a macro–micro combination analysis. The method enables the prioritization of perceived quality attributes and provides perception causes.

To rationalize the macro–micro combination, ANOVA and multiple linear regression were used to identify the main factors affecting perceived quality which served as the combination basis; by using the combination basis for consumer segmentation, macro-knowledge (i.e. attribute importance and quality category of the attribute) is achieved by term frequency-inverse document frequency (TF-IDF)-based attribute importance calculation and KANO-based attribute classification, which is combined with micro-quality diagnostic information (i.e. perceived quality, perception causes and quality parameters). Further, dynamic perception Importance-Performance Analysis (IPA) is built to present the attribute priority and perception causes.

The framework was validated by the new energy vehicle (NEV) data of Autohome. The results show that price and purchase purpose are the most influential factors of perceived quality and that dynamic perception IPA can effectively prioritize attributes and mine perception causes.

This is one of the first studies to analyze dynamic perceived quality using social media data, which contributes to the research on perceived quality. The paper also contributes by achieving a combined macro–micro analysis of perceived quality. The method rationalizes the macro–micro combination by identifying the factors influencing perceived quality, which provides ideas for other studies using social media data.

The purpose of this study is to provide information on how citizens in nine countries across Europe perceive egg product quality and the importance of a product's sustainability attributes (animal welfare, country of origin and production method) in egg purchases.

The data were gathered in 2021 via an online survey in nine European countries (Finland, the United Kingdom, France, Italy, Belgium, Germany, the Netherlands, Romania and Denmark). A total of 3,601 responses were collected. As methods of analysis, exploratory factor analysis (EFA), independent samples t-test, paired samples t-test and one-way analysis of variance (ANOVA) were conducted when investigating the quality dimensions of egg products and the differences amongst the sociodemographic groups.

Citizens in European countries considered animal welfare aspects, production method and country of origin important when purchasing egg products. Citizens' perceived quality of egg products was related to two dimensions (i.e. product properties and responsible production), and there were differences in perceptions by sociodemographic groups (i.e. age, gender, education and country of residence). Responsible production was most valued by younger women with higher education. Also in the Netherlands and Romania, citizens had stronger preferences for product properties compared to responsible production, whilst in Germany, responsible production was appreciated more than product properties.

The study provides new information on citizens' perceived egg product quality and the role of a product's sustainability attributes in egg purchases. Furthermore, the results bring novel insights on the differences in perceptions amongst citizens living in nine European countries.

For online experiential products, tactile attributes are important but hard-to-achieve features. This research aims to explore consumers' emotional experiences by incorporating tactile attributes into the online clothing shopping scenario.

This paper presents two online shopping experiments by consumers who purchase online clothing: one experiment involves subjects browsing clothing products on a computer screen; the other one involves subjects touching the clothing fabric while browsing a corresponding product on a computer screen. Based on the stimulus–organism–response (S-O-R) model, a physiological polygraph was used to record the emotional experience of subjects under the stimuli of “sight” and “sight + touch.”

(1) Subjects had a more positive emotional arousal under the stimuli of “sight + touch”; (2) the visual merchandising of clothing and expected touch task affect subjects' overall emotional experience with clothing, and with a good visual experience and expected tactile experience, the subjects showed a more positive emotional valence under the stimuli of “sight + touch”; (3) differing from previous research, this experimental data only supports the hypothesis that the skin conductance indicator is related to the level of emotional arousal, without supporting its correlation with emotional valence. However, the heart rate indicator is correlated with emotional valence but not with emotional arousal.

This work proposes a way to study the tactile attributes of online clothing and enriches the theoretical framework of polygraph and the S-O-R model for the research of online experiential products, and in terms of application, it sheds light on sales strategies of online experiential products for retailers and brand owners.

Handloom products often fail to infiltrate the global or mainland market, resulting in small localized markets, limited demand and profitability. Recent times have also witnessed a decline in the weaving population of India. Assam, accounting for a third of all households engaged in the handloom industry in India, has been widely hit by unemployment, migration and demotivation among weavers due to lack of profitability in the sector. This research aims to study the case of Assam as an exemplar to identify the barriers and cognitive biases impacting the sales of such ethnic apparel and propose nudges as interventions to address such concerns.

A conjoint-based experimental study was used to understand and compare the cognitive biases of two study groups: an ethnic group from Assam and a non-ethnic group from various Tier I and Tier II cities of India. The groups were exposed to a variety of ethnic Assamese and ethnic non-Assamese products to understand their value perception using conjoint analysis.

Results indicate a potential lack of cognitive fluency when dealing with Assamese ethnic garments, triggering System II thinking among the non-ethnic (national buyer) group. The underlying cause may be the inability to attribute substitution of the given product for a more familiar product. The results suggest that exposure may lead to priming, which in turn can increase cognitive fluency.

Within the limits of the literature reviewed, designing a conjoint-based experiment and proposing the use of nudge to popularize certain ethnic garments are novel contributions of this study.