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The purpose of this paper is to provide an empirical approach to the understanding of the potential interplay between influencer opinions and consumer-generated information on consumer decision-making. Given the growth of influencer marketing and the pervasive nature of consumer star-ratings, it becomes critical to understand how and why these information sources influence consumers’ shopping decisions.

Drawing from the literature on source credibility, this paper proposes that influencer opinion interacts with the influencer’s reach on influencer credibility, skepticism towards the product and purchase intentions. Boundary conditions of consumer-generated information are also tested.

Convergent results across three studies indicate that the effect of influencer opinion is contingent upon both valence of the opinion and reach of the influencer. Consumer-generated information (i.e. star-ratings and the volume of ratings) moderates the effect of influencer opinion on purchase intentions. These effects are mediated by the credibility of the influencer and skepticism towards the product.

Understanding the relative impact of influencer opinions in the presence of other consumer-generated information provides managers with a framework to effectively manage online communications.

To the best of the authors’ knowledge, this paper provides a theoretically grounded first look at the potential interplay between two extremely powerful factors, influencer opinion and consumer-generated information. This paper provides a better understanding of the psychological mechanism behind the intricate workings of consumer-generated information.

The purpose of this paper is to propose a model to test whether the combined effects of valence and objectivity/subjectivity of online review have an effect on consumer judgment and whether e-WOM platforms have a moderating effect.

In total, 480 respondents participated in online experiments with a four (positive+objective, positive+subjective, negative+objective, and negative+subjective online review) by two (marketer-generated vs consumer-generated brand community web sites) between subject design.

The experiment showed that: an objective negative online review was rated higher in terms of message usefulness compared to the other types of online reviews; positive reviews, whether they are objective or subjective, were rated higher in terms of attitudes toward and intention to purchase the reviewed product, and the effects of online reviews moderated by e-WOM platforms on consumer judgment were supported.

The present study, based on an established theoretical foundation, will help the research community to gain a deeper understanding of the combined effects of online review valence and attributes on consumer judgment and whether user-generated web community is better for consumers to consult product experience.

The findings of this study can provide interested firms with useful strategies and tactics to enhance users’ acceptance of online reviews in terms of who operates the web sites.

With increasing use of consumers’ online reviews, the present study proposed and tested a comprehensive research model integrating both the valence and objectivity/subjectivity of online review, which has rarely been addressed in previous research.

The consumer is currently feeling the consequences of the global economic crisis, leading to decreased spending by tourists. An important economizing strategy appears to be that vacationers do not give up their holiday but are likely to travel closer to home, a phenomenon called “staycation”, but this is just one of a variety of options vacationers can use. If they make economies within a holiday, where do they get their ideas about economizing from? The purpose of this paper is to study information searching from the perspective of economizing on vacations.

The work reported on is a survey of Dutch vacationers who stated that they economized on their 2009 holiday.

The research shows that different sources have strong and weak points in relation to the different subdecisions that constitute a vacation. Information sources are used in concert for subdecisions; the strongest joint use involves marketer‐generated sites and e‐WOM, and brochures and travel guides. In the family context, a tendency is found to use more information sources the more economizing decisions are discussed.

For tour operators, it seems to make sense to make it easier to compare vacation alternatives that differ on subdecisions such as booking moment and period, and to offer a range of options from expensive to inexpensive. Also, making options more flexible in terms of downgrading on vacation features could assist vacationers who want to economize. Consumer‐generated sources could focus more on providing information and comparison opportunities for subdecisions.

Information searching is a widely studied area in vacation decision making. Two extensive literature reviews give an overview of factors influencing this search process. In this literature, a contribution on information searching to obtain economizing ideas in difficult times is absent. In this article, with the aid of five research questions, the role of information searching in relation to economizing on vacations is investigated.

This study aims to provide a way to derive inter-brand similarities from user-generated content on online brand forums, which enables the authors to analyze the market structures based on consumers' actual information searching and sharing behavior online. This study further presents a method for deriving inter-brand similarities from data on how the sales of competing brands covary over time. The results obtained by the above two methods are compared to each other.

In drawing similarities between brands, the authors utilized a newly proposed measure that modified the lift measure. The derived similarity information was applied to multidimensional scaling (MDS) to analyze the perceived market structure. The authors applied the proposed methodology to the imported car market in South Korea.

In light of some clear information such as the country of origin, the market structure derived from the presented methodology was seen to accurately reflect the consumer's perception of the market. A significant relevance has been found between the results derived from user-generated online content and sales data.

The presented method allows marketers to track changes in competitive market structures and identify their major competitors quickly and cost-effectively. This study can contribute to improving the utilization of the overflowing information in the big data era by proposing methods of linking new types of online data with existing market research methods.

The study investigates the factors that influence young consumers (Gen Zs and Ys) in emerging markets to engage fashion ads of non-luxury fashion retail small- to medium-size enterprises (SMEs) on social media. Through a desk assessment of practice and the phenomenon's available evidence in the extant literature, four main drivers were delineated, reviewed and subsequently tested to influence young consumers' behavioural engagements of emerging markets' fashion SMEs' social media contents.

A non-probability sample of 1,150 respondents (Gen Y and Z combined) in Ghana, an emerging market, formed the sample for the study. The respondents assessed four empirically identified antecedents (sales campaigns, relevant sales-related information, catchy and inspiring product/brand photo/video and consumer-generated contents) that are likely to influence their behavioural engagement on social media platforms (Instagram, Facebook, WhatsApp and Twitter). SmartPLS (version 3.3.3) was employed to perform partial least square structural equation modelling.

The results showed that to engage fashion-related ads, particularly from non-luxury fashion SMEs, young consumers consider sales campaigns, cues from consumer-generated contents, as well as quality and inspiring videos and photos. Less attention is given to relevant sales-related information.

The three significant drivers of engagement found in the current study provide managerial knowledge for non-luxury fashion SMEs in emerging markets. Videos and still pictures must be of high definition and quality. Short and long promotional campaigns may drive positive behavioural engagements. Interactivity between fashion SMEs and young consumers is encouraged as it precipitates the positive engagement behaviours enabled by social media. The study concludes with actionable recommendations for the non-luxury fashion SME sector in emerging economies.

The study is the first of its kind to ascertain what drives young consumers' engagement with non-luxury fashion SMEs on social media. It provides managerial insights and guidance to SMEs in emerging markets on effective social media fashion retailing targeted mainly at digital natives, the dominant generational cohorts on social media in most emerging economies.

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.

This research is to identify how user-generated contents (UGC) affect a pre-trip decision on the booking of a guesthouse among international travelers. Online surveys are conducted among social network users who have booked an ecolodge in the past year. A snowball sampling is used, which posts a questionnaire link in social networks including Twitter, Facebook, and Instagram in addition to travel blogs. This study indicates a positive relationship between UGC and lodging selection. UGC is considered as a significant predictor of booking an environmentally friendly guesthouse. Among the UGCs, travelers' review is the most important one influencing guesthouse selection. Future studies may focus on other IT potentials such as “Gamification” or other types of content such as “Podcasts” or “live videos” to engage independent travelers.

This study aims to explore the use of consumer-generated online product reviews as a source of brand associations in a sport setting.

A total of 800 reviews were collected and categorized into 13 brand association dimensions derived from previous literature. Reviews were further categorized into three valence types (i.e. positive, negative and neutral) via a correspondence analysis.

A correspondence analysis revealed that positive product reviews were highly linked to performance and product-related attributes, while negative reviews were related to conformance associations. Additionally, the results showed that product-related (90.8%) attributes, experiential benefits (89.1%) and functional benefits (86.6%) were the most frequently communicated brand associations. The findings of this study underline the credibility of assessing brand associations from the consumers’ experience, through online consumer reviews.

The findings of the current investigation contribute to existing knowledge by examining consumer-based brand equity (CBBE) in an online setting. Previous, CBBE literature suggests that brand associations are held in the minds of the brand's consumers. To date, however, few studies have examined brand associations generated by consumers and instead have relied upon brand association dimensions developed by the researcher as opposed to the consumer (Ross et al., 2006). This, study however, utilized online sport product reviews as a source of consumer derived brand associations, and, therefore, will further the knowledge as to how brand associations are identified and measured.

The purpose of the current study is to explore how valenced fit reviews affect the consumer decision-making process during online apparel shopping.

A single factor (valence of fit review) within-subject experimental design was employed to examine how the valenced fit review (negative vs positive) affects the consumer online purchase decision process. A mock website was created to simulate the online shopping environment through four steps for developing a stimulus website for the main study. The data were analyzed using repeated multivariate analysis of variance and structural equation modeling.

A total of 418 female consumers completed an online self-administrated survey. Results showed that positive fit review was more compelling than negative fit review for female consumers when they like the apparel product. Two aspects of information credibility (review and site credibility) and confidence in purchase decision evoked by both fit reviews and overall product information were significant determinants of the consumer purchase decision process in increasing consumers’ future purchase intentions through attitude to the online retailer.

The current study was an attempt to fill the gap in knowledge regarding the crucial role of fit reviews in apparel product purchase decisions in an online context. This study confirmed the type of fit reviews that would be influential on female consumers’ online purchase decision-making process for apparel products when they liked the apparel product, supporting positive confirmation bias from the information processing point of view. This study contributed to the importance of the two concepts (i.e. credibility and confidence in the purchase decision) in online information processing and purchase decision-making process.

Driven by functional theories of attitude and addressing the emerging themes of luxury brands and social media, the purpose of this paper is to explore the marketing potential of social media for luxury brand management.

A survey was conducted to prompt participants to explore Louis Vuitton's Facebook page and complete a questionnaire designed to measure their satisfaction with the luxury brand's Facebook page and various endogenous variables.

Structural equation modeling (SEM) analyses uncovered dynamic relationships among consumers’ perceptions of value‐expressive and social‐adjustive functions of luxury brands, satisfaction with a luxury brand's (Louis Vuitton) Facebook page, attitudes toward the brand, intentions to utilize the brand's social media (Facebook and Twitter) for online shopping, and intentions to research online and purchase offline (ROPO).

This paper marks an exploratory step toward our understanding of the dynamic roles user‐generated content and social media play in the formation and maintenance of the emerging consumer‐brand‐consumer triad culture. Theoretical and managerial implications of this exploratory research are discussed.