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This research explores the impact of classical aesthetics (e.g. order and symmetry) and expressive aesthetics (e.g. creativity and distinctiveness) on consumer green consumption.

This research conducted three studies. Study 1 explored the main effect of appearance aesthetics (appearance: plain vs classical vs expressive) on green products purchase intention through a one-factor between-subjects design. Study 2 verified the mediating role of perceived naturalness through two types of appearance aesthetics (appearance: classical vs expressive) between-subjects design. Study 3 verified the moderating role of product identity-symbolic attributes through a 2 (product identity-symbolic attributes: non-identity-symbolic vs identity-symbolic attributes) × 2 (appearance: classical aesthetics vs expressive aesthetics) between-subjects design.

Consumers will be more likely to purchase a green product that has classical aesthetics appearance (vs expressive aesthetics). Perceived naturalness mediates the effect of aesthetic appearance on consumer green consumption. Product identity symbol attributes moderate this effect. Specifically, for non-identity-symbolic green products, classical aesthetics can effectively enhance consumer purchase intention. For identity-symbolic green products, expressive aesthetics can effectively enhance consumer purchase intention.

Existing research suggests that aesthetic appearance can increase consumers’ evaluation of electronic products, beauty products and food, but the difference between aesthetics has not yet been explored. This research compares two aesthetics, contributing to the literature on aesthetic appearance in green products and offering valuable insights for managers’ green products marketing.

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace. As such, physical attractiveness can be a ‘prized possession’ when it comes to leaving a positive impression on managers who are interviewing candidates. In the twenty-first century environment, our society seems to be more obsessed with physical appearance than ever before because society has conditioned us to associate beauty with other favourable characteristics. Of course, such appearance norms, regarding attractiveness, ‘good looks’ and beauty are linked to years of socialisation in culture, cultural norms and materialistic personality standards.

In a business context, managers and employers often make hiring decisions based on the appearance and attractiveness of the job applicants since outward appearance seems to play a significant role in which candidates eventually might get the job. Physically attractive job applicants and candidates tend to benefit from the unearned privilege, which often comes at a cost to others who are equally qualified. Preferring employees who are deemed to be attractive, and consequently discriminating against those who are perceived as unattractive, can present legal and ethical challenges for employers and managers. In this chapter, we provide a discussion and reflection of appearance-based hiring practices in the United States with relevant legal, ethical and practical implications for employers, human resources professionals and managers. We focus on ‘lookism’ or appearance discrimination, which is discrimination in favour of people who are physically attractive. As such, we examine federal, state and local laws regarding appearance discrimination in the American workplace. We also offer sustainable policy recommendations for employers, HR professionals and managers on how they can be fair to all candidates in order to hire, promote and retain the most qualified professionals in their departments and organisations.

Appearance has two meanings. On the one hand, appearance is about the physical qualities of a person being of certain height, weight, complexion and having a particular hair, eye and skin colour as well as choice and style of dress and attire. On the other hand, appearance has a social dimension, as those physical qualities of a person are interpreted, rated and judged, and attributed varied meanings and values across different settings. Appearances can influence the experiences of individuals in the workplace in both positive and negative ways: Positive, when they are mobilised as a resource that increases the influence and advantage of individuals on others; and negative, when individuals are discriminated or disadvantaged on the basis of their appearance. Drawing on a Bourdieusian conceptual repertoire, this chapter delves into this duality of appearance and frames appearance both as a resource (a form of carnal capital) and a source of symbolic violence. As appearance is an aspect of an individual's self-identity in the workplace, this chapter explores appearance and intersectionality across gender, ethnicity, class and sexual orientation at work. Appearance is examined as a cross cutting category of diversity as both privilege (carnal capital) and disadvantage (symbolic violence).

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.

Monitoring of the quality of precast concrete (PC) components is crucial for the success of prefabricated construction projects. Currently, quality monitoring of PC components during the construction phase is predominantly done manually, resulting in low efficiency and hindering the progress of intelligent construction. This paper presents an intelligent inspection method for assessing the appearance quality of PC components, utilizing an enhanced you look only once (YOLO) model and multi-source data. The aim of this research is to achieve automated management of the appearance quality of precast components in the prefabricated construction process through digital means.

The paper begins by establishing an improved YOLO model and an image dataset for evaluating appearance quality. Through object detection in the images, a preliminary and efficient assessment of the precast components' appearance quality is achieved. Moreover, the detection results are mapped onto the point cloud for high-precision quality inspection. In the case of precast components with quality defects, precise quality inspection is conducted by combining the three-dimensional model data obtained from forward design conversion with the captured point cloud data through registration. Additionally, the paper proposes a framework for an automated inspection platform dedicated to assessing appearance quality in prefabricated buildings, encompassing the platform's hardware network.

The improved YOLO model achieved a best mean average precision of 85.02% on the VOC2007 dataset, surpassing the performance of most similar models. After targeted training, the model exhibits excellent recognition capabilities for the four common appearance quality defects. When mapped onto the point cloud, the accuracy of quality inspection based on point cloud data and forward design is within 0.1 mm. The appearance quality inspection platform enables feedback and optimization of quality issues.

The proposed method in this study enables high-precision, visualized and automated detection of the appearance quality of PC components. It effectively meets the demand for quality inspection of precast components on construction sites of prefabricated buildings, providing technological support for the development of intelligent construction. The design of the appearance quality inspection platform's logic and framework facilitates the integration of the method, laying the foundation for efficient quality management in the future.

The purpose of this study was to propose and examine a conceptual model delineating how two different types of appearance-related self-discrepancies (i.e. the ideal appearance self-discrepancy vs. the ought appearance self-discrepancy) influence retail therapy shopping behavior through motivational route (i.e. approach motivation vs. avoidance motivation).

This study utilized the online survey for data collection. Using a national sample of 532 US consumers who had retail therapy shopping experience, the conceptual model was tested through various statistical techniques, including confirmatory factor analysis, exploratory factor analysis and structural equation modeling.

Results revealed that the ought appearance self-discrepancy positively influenced retail therapy shopping behavior through avoidance motivation and emotion-focused coping strategy, whereas the ideal appearance self-discrepancy did not influence retail therapy shopping behavior. The results also suggested that the effect of two different types of appearance-related self-discrepancies on motivations in retail therapy shopping context varied depending on the gender (i.e. male vs. female).

Results suggest implications regarding potential target market strategies to retailers and provide a better understanding of retail therapy shoppers' characteristics and psychological mechanisms for consumer researchers.

As technology increasingly integrates into the restaurant industry, avatar servers present a promising avenue for promoting healthier dining habits. Grounded in the halo effect theory and social comparison theory, this study aims to delve into the influence of avatars' appearance, humor and persuasion on healthier choices and customer satisfaction.

This paper comprises three experimental studies. Study 1 manipulates avatar appearance (supermodel-looking vs normal-looking) to examine its effects on perceived attractiveness, warmth and relatability. These factors influence customer satisfaction and healthy food choices through the psychological mechanisms of social comparison and aspirational appeal. Studies 2 and 3 further refine this theoretical model by assessing the interplay of appearance with humor (presence vs absence) and persuasion (health-oriented vs beauty-oriented), respectively.

Results suggest that avatars resembling supermodels evoke stronger aspirational appeal and positive social comparison due to their attractiveness, thus bolstering healthier choices and customer satisfaction. Moreover, humor moderates the relationship between appearance and attractiveness, while persuasion moderates the effects of appearance on social comparison and aspirational appeal.

This research bridges the halo effect theory and social comparison theory, offering insights enriching the academic discourse on technology’s role in hospitality.

The findings provide actionable insights for managers, tech developers and health advocates.

Despite its significance, avatar design research in the hospitality sector has been overlooked. This study addresses this gap, offering a guideline for crafting attractive and persuasive avatars.

The impact of appearance on career development is well-documented. We know with some certainty that those blessed with good looks, a sense of style and a winning smile have an advantage at all stages of the job application process, and throughout their careers, with the most aesthetically pleasing being more likely to be given jobs, higher salaries and promotions (Baert & Decuypere, 2014; Toledano, 2013). What then should those who offer career advice make of this? Should career advisers, coaches, HR professionals and line managers be advising their clients and employees on how to improve their looks? At one level, the answer to this question seems obvious: if the advisers know it can make a difference, of course they should try to help their clients to look more professional or better appropriate for the role, to give them every chance of success in their chosen field. But on closer inspection, this assumption is fraught with challenges. How far should the practitioners go? How can one give advice without causing offence? And most crucially, how could this tacit support of an arguably unfair and superficial value system be justified? In this chapter, I will explore some of these issues, drawing on research conducted with career advisers, counsellors and coaches and will offer some practical guidelines for all those who might find themselves tempted to offer advice.