Search results

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.

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.

This study clarifies the integration-related effects of photos and text on consumer information processing and decision-making outcomes.

The authors conducted an experiment by recruiting 162 workers from Amazon Mechanical Turk. These participants were randomly assigned based on a full factorial, between-subject design with four possible conditions (2 [separate vs alternate layout] × 2 [photo-first vs text-first sequence]). The authors conducted a two-way analysis of variance to test the main effects and the interaction effects of layout and sequence on perceived diagnosticity, pleasantness feelings and attitudes toward products or services reviewed through electronic word-of-mouth (e-WOM); the authors also applied Process Models 4 and 8 to explore the mechanism of these effects.

The experimental results reveal that text-first sequence is generally more effective than photo-first sequence in enhancing perceived diagnosticity and attitudes toward products or services. However, when a photo is displayed first, a separate layout is more effective than an alternate layout in enhancing perceived diagnosticity and attitudes. By contrast, regardless of the sequence, an alternate layout is more effective than a separate layout in inducing pleasantness feeling.

Future studies should further explore photo-based e-WOM, including other photo characteristics (e.g. visual quality, quantity and content).

This study provides guidelines for businesses to use photos on social media to achieve strategic goals.

This study addresses an identified need; that is, how the presentation of photo cues (e.g. layout and sequence) influences consumer decisions.

The objective of this paper is to explore empirically the relationship between quantity and quality of user contributed information in online social computing systems, and how these two performance outcomes are associated with user factors.

Drawing from prior research, the paper presents a conceptual model hypothesizing a tradeoff between quality and quantity of user contributed information. In addition quality and quantity are associated with a set of motivational, cognitive, and social factors. The model was tested using data obtained through a web-based survey of 345 users of the Flickr online photo sharing community.

The empirical results support the hypothesized inverse relationship between quantity and quality of user contributed information, moderated by user's tenure in the community. The findings also suggest that a user's quantity of contribution is positively associated with the intrinsic motivation of commitment to the community, whereas quality of contribution is positively associated with the extrinsic motivation of self-development. While users’ social embeddedness is associated with quality and quantity of contribution, virtualness of social ties is only associated with quality of contribution.

The findings of this study can inform the design and management of online communities, and promote sustained contributions from individual users.

This study extends our knowledge of the quality and quantity of user contributed online information by demonstrating the inverse relationship between these two performance outcomes, and that they could be motivated by different user factors.

Despite the growing importance of visual information, user-generated photos in product reviews have received relatively little attention. We investigate whether the contextual background of a product image can influence consumers' perceptions of review helpfulness and product evaluation.

Online experiments were conducted using a scenario technique. A single factor (contextual background: low vs. high) between-subjects design was conducted in Study 1. A 2 (contextual background: low vs. high) × 2 (mental simulation: outcome vs. process) between-subjects design was conducted in Study 2.

A photo with a high (vs. low) contextual background enhances mental imagery, increasing perceived helpfulness and product evaluation. Furthermore, mental simulation plays a significant moderating role in the relationship between contextual background and mental imagery.

Based on cue utilization theory, this study identifies how the contextual background of product images affects consumers' perception and product evaluation by uncovering the underlying mechanism of mental imagery. Furthermore, the research examines the moderating effect of mental simulation while reviewing user-generated photos.

The purpose of this study was to explore drivers of consumer engagement with sustainable fashion brands on Instagram to specifically answer the research question: what drives popularity of sustainable fashion among digital consumers?

Twenty-five global fashion retailers were identified and categorized as either (a) sustainable fashion brands (SFB), (b) sustainably aware mainstream brands (SAB) or (c) traditional fashion brands (TFB). Content analysis of the 25 retailer's Instagram posts over a three-week period was analyzed and categorized according to content theme. Data were analyzed for quantity of Likes and Comments (engagement) to identify engagement strategies with each of the brand groups.

It was found that different strategies may be taken regarding social media strategy for SFB, SAB or TFB. Consumers were engaged with unfamiliar content, for instance, sustainability to a consumer unfamiliar with the topic or how it applies to a specific brand. Digital consumers were looking for exciting and aesthetically pleasing posts. Specifically, all consumers were engaged with posts about Fashion and Lifestyle.

As the result of this study, sustainable fashion best practices and social media strategies were presented for the three brand categories of fashion retailers.

This study analyzed a cross-section of global fashion brands and identified “best practices” for digital consumer engagement with sustainable messages through Instagram. The findings provide original value, specifically in the area of fashion marketing via social media to communicate brand identify to digital consumers for brand growth.

The following classified, annotated list of titles is intended to provide reference librarians with a current checklist of new reference books, and is designed to supplement the RSR review column, “Recent Reference Books,” by Frances Neel Cheney. “Reference Books in Print” includes all additional books received prior to the inclusion deadline established for this issue. Appearance in this column does not preclude a later review in RSR. Publishers are urged to send a copy of all new reference books directly to RSR as soon as published, for immediate listing in “Reference Books in Print.” Reference books with imprints older than two years will not be included (with the exception of current reprints or older books newly acquired for distribution by another publisher). The column shall also occasionally include library science or other library related publications of other than a reference character.

This paper examines the potential of photography as a design thinking method to develop innovative food experiences that improve food well-being.

This paper is a critical review of research using photography to examine the complex physical, emotional, psychological and social relationships individuals have with food at personal and societal levels.

The conceptual legitimacy of photography is well-established in the social sciences but has been missing from design thinking practices. Photography is particularly well suited to understand the highly visual practice of food and to design innovative food experiences.

Practical and ethical issues in the use of photography are considered as a research tool. Future research should examine photography as an integrated tool in the entire design thinking process.

A table of photographic research methods for all stages of design thinking, from empathy to prototyping, is presented. Best practices for the successful implementation and interpretation of photography in food design thinking are discussed.

Photography is a uniquely inclusive and accessible research method for understanding the social problem of food well-being and designing innovative food experiences.

To the best of the authors knowledge, this paper provides the first conceptual foundation for the use of photography in design thinking. The paper identifies novel photographic methods that can be used to understand problems and generate solutions. It provides guidelines to successfully integrate photography in the design of innovative food experiences that improve food well-being.

This study aims to examine the effects of user-generated photos (UGPs) and review valence (RV) on hotel guests’ perceived service quality, perceived price, perceived overall image and booking intention.

An online experiment where respondents were randomly assigned to one of the six conditions in a 2 (UGPs: provided vs not provided) × 3 (RV: positive vs neutral vs negative) between-subjects factorial design was used. The data of the study was collected from the travelers who used an online hotel review site to book a hotel at least once in the past 12 months. An independent sample t-test and analysis of variance were used to analyze the data of this study.

The results indicated that UGPs and RV significantly influenced hotel guests’ service quality, price, overall image perceptions and booking intention. The interaction effects of UGPs and RV indicated that positive online hotel reviews with UGPs had higher impact on hotel guests’ service quality, price, overall image perceptions and booking intention than neutral and negative online hotel reviews with UGPs.

The understanding of the effects of UGPs and RV on guests’ price, service quality, overall image perception and booking intention can help hotel managers and social media website designers to better promote the hotel and provide efficient online hotel booking environment.

This study builds the relationships between UGPs and RV and hotel guests’ perceived price, perceived service quality, perceived overall image and booking intention, which are crucial factors regarding online hotel marketing.

评估用户生成的照片对酒店客人价格、服务质量、整体形象感知和预订意愿的影响

本研究旨在探索用户生成的照片 (UGP) 和评论效价 (RV) 对酒店客人感知服务质量、感知价格、感知整体形象和预订意图的影响。

本研究采用受试者间因子设计进行了一项在线实验, 其中受访者被随机分配到 2（UGP：提供与未提供）× 3（RV：阳性 vs. 中性 vs. 阴性）中的六个条件之一。该研究的数据是从过去 12 个月内使用在线酒店评论网站至少预订一次酒店的旅行者那里收集的。使用独立样本 t 检验和方差分析 (ANOVA) 来分析研究数据。

结果表明, UGP 和 RV 显着影响酒店客人的服务质量、价格、整体形象认知和预订意愿。 UGP 和 RV 的交互作用表明, 与 UGP 的中性和负面在线酒店评论相比, 带有 UGP 的正面在线酒店评论对酒店客人的服务质量、价格、整体形象感知和预订意愿的影响更大。

了解UGPs和RV对客人价格、服 务质量、整体形象感知和预订意愿的影响, 可以帮助酒店管理者和社交媒体网站设计师更好地宣传酒店, 提供高效的在线酒店预订环境。

本研究建立了UGP和RV与酒店客人感知价格、感知服务质量、感知整体形象和预订意愿之间的关系, 这些是在线酒店营销的关键因素。

In this paper an attempt is made to calculate the cost of equipment and staff for an industrial technical library, with a view to providing in accessible, tabulated form data which might be useful in planning new libraries, or organizing those already established. The detailed tables are set out at the end of the text, and are clearly cross‐referenced.