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This study examines whether design typicality and the communication of the zero-waste concept as a sustainable practice impact consumers’ aesthetic preferences and purchase intentions for zero-waste apparel.

The study employed a 2 (dress design: typical vs atypical) × 2 (dress length: long vs short) × 2 (zero-waste concept communication: present vs absent) mixed factorial experimental design with an online survey of 137 female consumers, ages 19–34.

Respondents rated typical zero-waste design dresses significantly higher than atypical dresses for aesthetic preferences and purchase intentions. Further, the zero-waste design concept did not affect this typicality-based preference or purchase intention for zero-waste dresses. They also demonstrated greater overall aesthetic preferences for long than short zero-waste dresses. Design typicality moderated this effect such that aesthetic preferences and purchase intentions were greater for long than short-length dresses when the zero-waste dress design was typical. When the design was atypical, purchase intentions were greater for short than long dresses.

Typicality is critical in consumers’ aesthetic preferences and purchase intentions for zero-waste apparel.

The study focused on zero-waste dress typicality as a critical factor in consumers’ preference formation and purchase intentions. Additionally, it investigated dress length preferences within typical and atypical designs.

Although visual prototypicality in fashion is an observed phenomenon, empirical examinations of the link between fashion products' design prototypicality and consumer evaluations still need to be included. The present study analyzes the influence of the visual prototypicality of fashion products on consumer-perceived product values and brand preference.

An online survey adopting the fashion product images with significantly differing levels of visual prototypicality was used to collect data from 456 US consumers. The hypothesized relationships among visual prototypicality, product values and brand preference were analyzed through multi-group analysis.

Perceived visual typicality of fashion product designs significantly increased the hedonic and utilitarian value of the product and only indirectly increase brand preference. The hypothesized positive relationship between visual prototypicality and the product’s social value was found to be significant only in the low-price levels but became insignificant in the high-price levels.

The findings of this study contribute to the extant literature by first providing an initial analysis of the mechanism of visual prototypicality in the fashion product design field. The results confirm that visual prototypicality indirectly influences consumers' brand evaluations by the product’s perceived value. This relationship was previously assumed but not empirically proven only in non-fashion product categories. The study also presents additional new points, further enriching the understanding of visual typicality. Additionally, the results show the complex relationship between the visual prototypicality of fashion product designs and the perceived social value of the product, which varies depending on the price range.

The literature on copycat packaging has developed intermittently over a 30-year period, resulting in a divergent and fragmented body of knowledge. This paper aims to synthesise the extant literature to highlight the main developments in the marketing, legal and design fields and, in doing so, contributes to a holistic understanding of the research area and suggests directions for future research.

A systematic literature search retrieved 5,862 articles, and after filtering against explicit criteria, 49 studies were reviewed. These articles were subsequently evaluated and interpreted, producing a synthesis of current research.

The constructs of copycat packaging, including similarity-related concepts, consequences of copycat packaging and mitigating approaches, have been reported across three disciplines of marketing, legal and design, each having its own distinct focus but nonetheless sharing overlapping themes.

This review discusses future directions and proposes a framework of research themes relating to brand enhancement for online purchasing, measurement of brand confusion, reinforcing design features and approaches to mitigating copycat practices.

To the best of the authors’ knowledge, this study is the first systematic review of the literature on copycat packaging. It brings together the latest thinking on copycat packaging and identifies distinct research issues to be addressed in future studies.

The purpose of the project was to identify a mechanism of causal relationship between Brand Public Relations (BPR) and societal change in the perception of women gender roles.

Experimental evidence was obtained in three countries (N = 378) to examine the mechanism of societal impact of BPR. Effects of spillover of evaluations between two sub-brands of a house of brands company, caused by positive publicity about communication co-created by Public Relations (PR), were analysed.

Findings supported the existence of a positive spillover of evaluations. A mechanism of the societal impact of PR was also captured: an indirect effect of news stories about a non-objectifying portrayal of women in the male reference brand on the typicality of a non-stereotypical women role in society was demonstrated.

Experiments were conducted over a period of three years, during which publics perception of brands' communication about gender portrayal might have changed.

The paper argues for greater recognition of brand public relations professionals as co-creators of promotional brand communication. It gives evidence that one of the unique competencies of BPR is insight into publics and predicting long-term consequences of brand communication.

The findings of the research project suggest a mediated nature of influence of BPR on the perception of typicality of gender (women) roles in society. PR communicators should learn what areas of practice of PR require specific skills for the function of PR to develop the new competence.

This paper is the first one that aimed at establishing a common terminological framework of the societal impact of public relations.

This paper aims to examine how visual elements used in packaging design relate to diasporic consumer identity and influence aesthetic appreciation.

Drawing on social identity theory, research on aesthetic principles and using a mixed methods approach, two studies are conducted. Study 1 involves a qualitative exploration of the nature of diasporic consumer identity and its relation with visual design in packaging. Study 2 involves quantitative testing and calibration of this relationship and its subsequent influence on aesthetic appreciation.

Diasporic consumers from the Middle East appreciate hybrid visual designs and prefer packaging that strikes an optimum balance of visual elements (colour, shapes, patterns) from the heritage aspects of their ancestral homeland and more contemporary aspects from their culture of living. Preference for balance elicits an overall positive diasporic identity feeling that mediates the relationship with aesthetic appreciation of visual design in packaging.

These findings offer new knowledge about the role of visual design in packaging in delivering symbolic value to diasporic consumers, evidencing how diasporic consumers’ dual identities shape aesthetic appreciation and preferences for hybrid visual designs.

Provides marketing practitioners and packaging designers with a concise and contextual directive for creating visual designs that appeal to a growing segment of diasporic consumers.

This research draws on social identity theory to uncover an aesthetic cultural precept – heritage, yet contemporary – that can inform the development of packaging designs targeting diasporic consumers.

Objectively evaluating the fairness of the algorithm, exploring in specific scenarios combined with scenario characteristics and constructing the algorithm fairness evaluation index system in specific scenarios.

This paper selects marketing scenarios, and in accordance with the idea of “theory construction-scene feature extraction-enterprise practice,” summarizes the definition and standard of fairness, combs the application link process of marketing algorithms and establishes the fairness evaluation index system of marketing equity allocation algorithms. Taking simulated marketing data as an example, the fairness performance of marketing algorithms in some feature areas is measured, and the effectiveness of the evaluation system proposed in this paper is verified.

The study reached the following conclusions: (1) Different fairness evaluation criteria have different emphases, and may produce different results. Therefore, different fairness definitions and standards should be selected in different fields according to the characteristics of the scene. (2) The fairness of the marketing equity distribution algorithm can be measured from three aspects: marketing coverage, marketing intensity and marketing frequency. Specifically, for the fairness of coverage, two standards of equal opportunity and different misjudgment rates are selected, and the standard of group fairness is selected for intensity and frequency. (3) For different characteristic fields, different degrees of fairness restrictions should be imposed, and the interpretation of their calculation results and the means of subsequent intervention should also be different according to the marketing objectives and industry characteristics.

First of all, the fairness sensitivity of different feature fields is different, but this paper does not classify the importance of feature fields. In the future, we can build a classification table of sensitive attributes according to the importance of sensitive attributes to give different evaluation and protection priorities. Second, in this paper, only one set of marketing data simulation data is selected to measure the overall algorithm fairness, after which multiple sets of marketing campaigns can be measured and compared to reflect the long-term performance of marketing algorithm fairness. Third, this paper does not continue to explore interventions and measures to improve algorithmic fairness. Different feature fields should be subject to different degrees of fairness constraints, and therefore their subsequent interventions should be different, which needs to be continued to be explored in future research.

This paper combines the specific features of marketing scenarios and selects appropriate fairness evaluation criteria to build an index system for fairness evaluation of marketing algorithms, which provides a reference for assessing and managing the fairness of marketing algorithms.

Algorithm governance and algorithmic fairness are very important issues in the era of artificial intelligence, and the construction of the algorithmic fairness evaluation index system in marketing scenarios in this paper lays a safe foundation for the application of AI algorithms and technologies in marketing scenarios, provides tools and means of algorithm governance and empowers the promotion of safe, efficient and orderly development of algorithms.

In this paper, firstly, the standards of fairness are comprehensively sorted out, and the difference between different standards and evaluation focuses is clarified, and secondly, focusing on the marketing scenario, combined with its characteristics, key fairness evaluation links are put forward, and different standards are innovatively selected to evaluate the fairness in the process of applying marketing algorithms and to build the corresponding index system, which forms the systematic fairness evaluation tool of marketing algorithms.

The gift-giving literature has documented several cases in which givers and recipients do not see eye-to-eye in gift-giving decisions. To help integrate this considerable segment of the gifting literature, this paper aims to develop a social norms-based framework for understanding and predicting giver-recipient asymmetries in gift selection.

Five experimental studies test the hypotheses. Participants in these studies evaluate gifts used in previous research, choose between gifts as either gift-givers or gift-recipients, and/or indicate their level of discomfort with choosing different kinds of gifts. The gifts vary in ways that allow the authors to test the social norms-based framework.

Gift-giving asymmetries tend to occur when one of the gifts under consideration is less descriptively, but not less injunctively, normative than the other. This theme holds for both asymmetries recorded in the gift-giving literature and novel ones. Indeed, the authors document new asymmetries in cases where the framework would expect asymmetries to occur and, providing critical support for the framework, the absence of asymmetries in cases where the framework would not expect asymmetries to emerge. Moreover, the authors explain these asymmetries, and lack thereof, using a mechanism that is novel to the literature on gift-giving mismatches: feelings of discomfort.

This research has multiple theoretical implications for the literatures studying gift-giving and social norms. A limitation of this work is that it left some (secondary) predictions of its model untested. Future research could test some of these predictions.

Billions of dollars are spent on gifts each year, making gift-giving a research topic of great practical importance. In addition, the research offers suggestions to consumers giving gifts, consumers receiving gifts, as well as marketers.

The research is original in that it creates a novel framework that predicts both the presence and absence of gift-giving asymmetries, introduces a psychological mechanism to the literature on giver-recipient gift choice asymmetries, and unifies many of the mismatches previously documented in this literature.

Based on the perspective of knowledge management capability, this paper aims to reveal the internal mechanism of the digital empowerment of mobile social platforms to improve the operational performance of Chinese traditional retail enterprises. Such improvements have crucial theoretical value and practical implications for Chinese traditional retail enterprises to achieve transformation and sustainable development.

This study applied the typical analysis method, selected China’s leading mobile social platform, WeChat, as a typical case, and observed and analyzed the public data of the traditional retail industry and social platforms and interviews with relevant enterprises. On this basis, this study used the inductive and deductive methods of qualitative research to conduct an in-depth analysis of the mechanism by which WeChat’s digital empowerment improves the operational performance of Chinese traditional retail enterprises. It also discussed the critical role and path knowledge management capabilities play in this mechanism.

This research demonstrated that mobile social platforms empower Chinese traditional retail enterprises to build diversified digital channels, enhance the knowledge acquisition capability of enterprises and thus improve their performance; empower Chinese traditional retail enterprises to build digital community networks, enhance the knowledge diffusion capability of enterprises and thus improve their performance; and empower Chinese traditional retail enterprises to integrate online and offline businesses, enhance the knowledge integration capability of enterprises and thus improve their performance.

This study clarifies the internal mechanism of how the digital empowerment of mobile social platforms can improve the performance of Chinese traditional retail enterprises. This mechanism implies that knowledge management capabilities (knowledge acquisition, diffusion and integration capability) are the underlying logic for Chinese traditional retail enterprises to achieve higher performance levels. This has important practical implications for managers of Chinese traditional retail enterprises to leverage the digital infrastructure of mobile social platforms to achieve the sustainable development of enterprises.

This study provides an in-depth analysis of how the traditional retail industry uses digital social platforms to improve operational performance from the perspective of knowledge management capabilities, which can further promote the theoretical research and practical development of digitalization and knowledge management. At the same time, this study explored the research on the operational performance of Chinese traditional retail enterprises from the perspective of knowledge management capabilities and expanded the research on knowledge management in related fields. The authors have initially sorted out the impact of knowledge management capabilities on the operational performance of Chinese traditional retail enterprises in the digital era. This will help better understand the role and function of knowledge management in strategic transformation and expand the application of knowledge management theory.

This study aims to examine the role of authenticity in tourists’ destination selection, analyze the factors that influence tourists to form their initial opinions and explore how tourists construct the authenticity of traditional villages. The authors selected Chengkan village in Huizhou district, Huangshan city, as a case. In the study, the authors constructed an attribute-hardware-software research framework and analyzed tourists’ authentic emic experiences from the perspective of constructivism. The findings of this study suggest that tourists’ destination selection is influenced by authenticity. The destination culture brokers who interact with tourists play an essential role in forming authentic experiences. According to differences in how tourists construct authenticity, the study divided tourists into three types: primitive imagination, aesthetic reality and rational cognition. The results of this study provide a deeper understanding of various viewpoints about authenticity research and contribute to the academic discussion on how to understand the authenticity of unique cultural heritage sites such as traditional villages in the context of tourism development.

This paper aims to explore factors contributing to music popularity using machine learning approaches.

A dataset comprising 204,853 songs from Spotify was used for analysis. The popularity of a song was predicted using predictive machine learning models, with the results showing the superiority of the random forest model across key performance metrics.

The analysis identifies crucial genre and audio features influencing music popularity. Additionally, genre specific analysis reveals that the impact of music features on music popularity varies across different genres.

The findings offer valuable insights for music artists, digital marketers and music platform researchers to understand and focus on the most impactful music features that drive the success of digital music, to devise more targeted marketing strategies and tactics based on popularity predictions, and more effectively capitalize on popular songs in this digital streaming age.

While previous research has explored different factors that may contribute to the popularity of music, this study makes a pioneering effort as the first to consider the intricate interplay between genre and audio features in predicting digital music popularity.