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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.

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.

Digital cameras and social networking have made photo-taking and photo-sharing more ubiquitous than ever before. In recent years, scholars and the popular press have raised concerns over the practice of posting photographs on social networking sites, especially when the images contain problematic or incriminating content. These concerns are often directed toward college students, who are among the most active users of social media. To that end, this chapter offers a comprehensive overview of the extent and emerging research pertaining to college students' photo-sharing habits on social networking sites. Much of our attention focuses on Facebook, which has emerged as the largest and fastest growing photo-sharing Web site in the world. While research on text-based disclosure will be addressed, a greater emphasis is placed on college students' photo-related behaviors, including uploading, viewing, tagging, and untagging photos. Further, this chapter discusses research on problematic or damaging content in college students' photos posted on Facebook, including depictions of alcohol use, drug use, and sexual promiscuity. This chapter provides a glimpse of some recent data (collected by the author) from a national sample of U.S. college students, which further shed light on their experiences and attitudes regarding their photo-related Facebook behaviors, the types of incriminating photos they report posting, and the consequences they have experienced due to visual images shared by themselves or others on Facebook. Finally, this chapter concludes with a discussion of the strategies utilized by college administrators, faculty, athletic coaches, and others within higher education to address the concerns and consequences often associated with college students and the photographs they share on Facebook and other social networking sites.

The purpose of this chapter is to explore the potential of photo-elicitation as a data generating method. Photo-elicitation is rarely used for data generation, despite the considerable promise of this method. Our empirical investigation focused on people's emotions and experiences of dual systems in Kazakhstan, a country currently undergoing change from the old Soviet system to a new market economy. In addition to semistructured interviews, we use photographs in order to enhance emotional connection and recall. We use the imagery as a device to generate data, and more specifically, data on individual and social perspectives that are integral to particular experiences. We argue that photo-elicitation can bring out peoples' lived experiences of the social context being investigated. We explain why and how to use the method in practice.

Purpose – The purpose of this chapter is to review and categorize how photographs have been used in management research and to provide strategic management researchers with suggestions about how to use photographs to enhance their qualitative research methodologies.

Methodology/approach – We develop a typology of photographic uses in management research by reviewing several scholarly journals.

Findings – We identify two dimensions that differentiate how photographs have been used in management journals. First, photographs can be used to illustrate scenes from a field setting or they can be interpreted as data. Second, the role of field participants can be one of active collaboration or no involvement in the photographic aspect of the qualitative research project. For instance, field subjects can collaborate in research by aiding in the photo-documentation process and/or aiding in the photo-elicitation process. Choosing which of our four identified photographic approaches represents a critical decision for qualitative researchers interested in incorporating photographs in their research.

Practical implications – We suggest ideas for strategic management researchers related to use of photographs in their research. Also, we describe how specific strategic management research projects can be approached with photography, which we argue can lead to enhanced theoretical contributions.

Originality/value of paper – To date, little has been written in the strategic management field about the use of photography. This chapter provides a succinct review of photographic methods in management research. Moreover, this chapter provides suggestions for how strategy researchers, study participants, and interested readers of management research could benefit from incorporating photographs into research accounts.

This chapter examines a popular online trend—photo-sharing—in an understudied region, the League of Arab States. In contrast to online information from official bodies, anyone with Internet access can view and create destination photos. This study first searched for destination photos on Flickr.com, a popular photo-sharing website, from 22 Arab countries, and then content analyzed 589 Muslim and travel photos. The key results included Egypt with the most destination photos and Saudi Arabia with the most Muslim images. Common Muslim images were mosques and women with headscarves. This chapter shows that Flickr photos represent Arab images and are possible destination recommendations.

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.

Perceptions of climate change are strongly influenced by visual cues and images. Many universities have made significant steps towards decarbonisation, yet these often remain hidden from the campus community. This study aims to explore the hidden curriculum of climate change on campus and compare participants’ images of sustainability on campus with those on university websites.

This research was underpinned by a critical realist perspective using innovative visual research methods including auto-photography and photo-elicitation to enable deep understanding of perceptions of sustainability and climate change on campus. Grounded visual pattern analysis (GVPA) was used to analyse campus photos and compare them to images used on university websites.

Findings suggest that staff and student images more strongly encapsulated tensions between humans and nature than website photos, but that the latter included more evidence of social sustainability. Neither image set expressed climate change issues effectively; the invisibility of university decarbonisation activities represents a lost opportunity for learning.

This research uses novel visual methodologies and analysis (GVPA) with potential for wider use in sustainability research. This study offers new insights into the importance of the hidden curriculum of sustainability in higher education and the difficulties of making climate change visible on campus.

The purpose of this paper is to examine mothers’ social media accounts that focus on children’s fashion. The authors probed children’s fashion photo practices as representations of the mothers’ extended self and the kind of childhood representations produced by the social media accounts. They also investigated mothers’ perceptions of children’s privacy when engaging in sharenting – the sharing of information about children or parenting online.

The study is based on 16 semi-structured interviews with Finnish mothers who had Instagram accounts focusing on children’s fashion.

Children’s fashion photos play a diverse role in mothers’ identity work. The photos can be used to express a mother’s taste and aesthetic skills, to express values, to fit into peer groups and to store memories of oneself and the children. Through the photos, representations of the prevailing Finnish childhood ideals, such as authenticity, naturalness and playfulness, are reproduced. The mothers perceived the children as part of their extended self and justified sharenting with mother- and child-centered arguments.

Through shedding light on the practices of social media fashion photography, this paper provides insights into how commercialism and social media shape cultural expectations for both motherhood and childhood. The paper contributes to previous research on sharenting, extending it to the context of fashion photography.

This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness.

Based on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling.

Results indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness.

Findings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site.

To the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.