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Face is the most intuitive and representative feature at the individual level. Many studies show that beautiful faces help individuals and enterprises obtain economic benefits and form a high economic premium, but the discussion of their potential social value is insufficient. This study aims to focus on the impact of the personal characteristics of executives. It mainly analyzes the impact mechanism of CEO facial attractiveness on corporate social responsibility (CSR) decision-making, clarifying the social value of beauty from the perspective of CSR.

The authors use the regression model to analyze the panel data set, which was conducted by a sample of Chinese publicly listed firms from 2016 to 2018.

The study found that CEOs with high facial attractiveness are more active in fulfilling CSR, which can usually bring higher social benefits. CEOs with beautiful faces are prone to overconfidence, are optimistic about their ability and the future development of the enterprise and are more willing to increase their investment in CSR. CEO duality can positively regulate the positive correlation between a CEO’s facial attractiveness and CSR.

Based on the perspective of upper echelons theory, this paper explores the mechanism of CEO facial attractiveness on CSR. This study enriches the perspective of the upper echelon’s theoretical research and has essential enlightenment for CEO selection and training practice.

This study aims to investigate the impact of a salesperson’s babyface in his/her profile picture on the number of online reviews the salesperson receives. In addition to testing the direct relationship, this study explores the moderating roles of salesperson gender and consumer involvement.

Responding to the call for field-based consumer research, the authors test their theory using an experimental design and a field study. Study 1 employs an experimental design in high and low involvement service settings to test the effect of a babyface on consumers’ intention to write online reviews. Study 2 uses field data, utilising real estate salespeople’s online profile pictures to test the effect of salespeople’s babyface on the number of online reviews they receive. It does so by using an artificial intelligence facial recognition application interface.

A salesperson’s babyface results in fewer online reviews in situations in which consumers are highly involved in the purchase process. By contrast, a salesperson’s babyface engenders more online reviews when consumers purchase low involvement services. The adverse effect of a babyface on the number of online reviews, however, attenuates when a salesperson is female.

Limited information about salespeople, a skewed number of online reviews and blurry online profile pictures from a real-world data set constitute the study’s limitations.

When consumers are highly involved in the purchase process, salespeople should appear mature in their online profile photos to engender more online reviews. However, salespeople providing low involvement services should opt for online profile pictures reflecting babyish facial features to generate more online reviews.

Research has shown that salespeople’s physical appearance plays an important role in consumers’ perceptions of salespeople and their performance. Although abundant research and practice have shown the importance of online reviews, less is known about how online profile pictures affect online reviews. Thus, building on well-studied cases of an overgeneralization effect, this work examines the extent to which salespeople’s babyface features in their online profile picture affects the number of online reviews received in a real-world setting.

The purpose of this study was to investigate the effect of a facial photo of female job applicants on employment decisions.

A laboratory or “controlled” experiment was conducted to examine the impacts of job applicants’ facial photos, job applicants' professional qualifications (education level and years of work experience), raters’ gender and college student raters’ academic year on employment-related decisions in a hypothetical situation in the Chinese context. A descriptive analysis and mixed-design factorial ANOVA were conducted.

Significant main effects were found for the applicant’s photo and professional qualifications in the analysis of employment decisions. Significant interaction effects were also found in the analysis.

Discrimination against applicants who attached unattractive photos was more pronounced for the interview decision when the applicants had low qualifications than when they had high qualifications. Although both male and female raters’ ratings of the interview, hiring and salary decisions decreased as attractiveness decreased, it was more pronounced for male raters than female raters.

In this chapter, we outline the evidence regarding the status effects of physical attractiveness in the workplace. We frame the effects of attractiveness as power and status dynamics shaped by the context of the workplace. Attractiveness serves as a social status that mostly provides benefits in the workplace, although the results are not uniformly positive. We first explain attractiveness as a status characteristic and how it operates in general social interactions. We then examine these effects across three typical yet significant career development milestones in a worker's life: (1) the selection and hiring process of employment, (2) day-to-day interactions with colleagues and co-workers and (3) in leadership roles and positions.

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).

As one of the most cutting-edge technologies in the digital age, facial enhancement technology (FET) has greatly enhanced consumer online shopping experience and brought new e-commerce opportunities for cosmetics retailers. The purpose of this paper is to extend the unified theory of acceptance and use of technology (UTAUT) model in the context of FET. In addition to the concepts from the original model, the new FET-UTAUT model features (low) body esteem, social media addiction and FET adoption.

A purposive sampling of FET users in China via an online questionnaire yields 473 respondents. To analyze the data, this research uses the structural equation modeling method via statistical package for the social sciences and analysis of a moment structures software. A two-step approach, exploratory factor analysis and confirmatory factor analysis, was used to test the hypotheses and generate the findings.

Performance expectancy, effort expectancy, social influence, facilitating conditions and (low) body esteem have positive relationships with FET adoption. FET adoption has a positive relationship with online purchase intention of branded color cosmetics, and the empirical evidence for the moderating role of social media addiction in the relationship between FET adoption and online purchase intention is inconclusive.

This research extends the traditional UTAUT model by proposing a novel FET-UTAUT model that incorporates additional key concepts such as body esteem, FET adoption and social media addiction. Managerial implications of this research are provided for FET designers and branded color cosmetic retailers.

This study aims to provide a critical reflection of the application of image recognition techniques in visual information mining in hospitality and tourism.

This study begins by reviewing the progress of image recognition and advantages of convolutional neural network-based image recognition models. Next, this study explains and exemplifies the mechanisms and functions of two relevant image recognition applications: object recognition and facial recognition. This study concludes by providing theoretical and practical implications and potential directions for future research.

After this study presents different potential applications and compares the use of image recognition with traditional manual methods, the main findings of this critical reflection revolve around the feasibility of the described techniques.

Knowledge on how to extract valuable visual information from large-scale user-generated photos to infer the online behavior of consumers and service providers and its influence on purchase decisions and firm performance is crucial to business practices in hospitality and tourism.

Visual information plays a crucial role in online travel agencies and peer-to-peer accommodation platforms from the side of sellers and buyers. However, extant studies relied heavily on traditional manual identification with small samples and subjective judgment. With the development of deep learning and computer vision techniques, current studies were able to extract various types of visual information from large-scale datasets with high accuracy and efficiency. To the best of the authors’ knowledge, this study is the first to offer an outlook of image recognition techniques for mining visual information in hospitality and tourism.

Social robots are invading our daily lives. Recently, thanks to artificial intelligence, humanoid social robots have been developed and influence individuals on social media. This paper aims to understand the perception of luxury consumers regarding human-like virtual influencers (VI) in a multicultural context.

Conducting a qualitative method, the authors interviewed 32 Chinese and French consumers of luxury products from the Gen-Z and millennial generation about their perception of human influencers and human-like VI after following them on social media specific platforms.

Using source credibility theory, this research unveils the different ways in which consumers perceive human-like VI according to their physical or content attractiveness, expertise, similarities and trustworthiness. The results suggest that the perception of human-like VI by millennials and Gen-Z is closely related to their cultural setting and their familiarity of the technology in a luxury context.

Considering Gen-Z and millennials' willing for para-social interactions and given the importance to the credibility of the source or the emotions displayed by VI, the intercultural empirical setting of this study introduces the ambivalence of the perception of social robots versus human-like influencers in a luxury digital context.

Beneficiary photos on charity appeals are believed to engender prosocial behavior. This study explores photo framing of healthy and unhealthy beneficiary photos in the context of photo-rich online medical crowdfunding. Based on framing theory, emphasis framing effect (i.e. unhealthy photos only vs both healthy and unhealthy photos) and equivalency framing effect (i.e. healthy photos prior to unhealthy photos vs unhealthy photos prior to healthy photos) are identified.

A scenario-based experiment with 135 participants was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to three treatment groups, with 45 subjects in each group. ANOVA, linear regression, and multiple mediation analysis were used to analysis data.

The results reveal that disclosing both healthy and unhealthy photos can elicit stronger sympathy and perceived need than merely disclosing unhealthy photos. Moreover, the order of unhealthy photos prior to healthy photos leads to a higher level of sympathy than the order of healthy photos prior to unhealthy photos. Furthermore, sympathy and perceived need are positively related to donation intention.

First, this study extends the photo-related research limited to certain characteristics of a single photo to the sequence effect of multiple photos. Second, this study contributes to framing theory by introducing photo framing, particularly the equivalence and emphasis framing effect of beneficiary photos. Finally, this study reveals the emotional and cognitive routes through which beneficiary photos stimulate prosocial behavior. It also offers practical guidance in the aspects of the framing effect of beneficiary photos for crowdfunding management.