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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.

When a concept is diffusely defined or, as this article argues, “taken for granted”, it becomes very difficult to track such concept on the literature and have some continuity as researchers build on top of previous results. This article proposes a definition for user-generated content, a term that though has lost some saliency, stands in the center or the social media phenomenon, so it should not be disregarded as an object of study.

Celebrating 20 years of the concept, this research performs a multidisciplinary literature review of 61 academic articles on UGC. Through deconstruction of the acronym UGC, it builds on the present converging, conflicting and diverging definitions and/or approaches to UGC on an attempt to consolidate a broader definition that encompasses the complexities of the phenomenon in a context of consolidation of social media, to be applied to social sciences.

Following the present analysis, UGC is defined as any kind of text, data or action performed by online digital systems users, published and disseminated by the same user through independent channels, that incur an expressive or communicative effect either on an individual manner or combined with other contributions from the same or other sources.

This is the first academic effort that aims to create an in-depth dialogue over the different approaches to UGC across disciplines on the social sciences field. It should help reignite interest in the acronym, which got somehow eclipsed by the broader field of social media; whilst without UGC, social media would not exist or would not have the same social impact it does in its current form. Analogously, UGC as a topic of research has been deeply affected by the emergence and consolidation of Social Media. As this debate evolves, this contribution should be helpful as a reference to operationalize UGC on future research.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2020-0258

The purpose of this study is to analyze how product placement through social media influencers (SMIs) during “new normal” can generate user-generated content (UGC) and determine the manners of product placement by SMIs who have become “homefluencers” by their skills.

This research applies a qualitative approach of thematic content analysis of a total of 49 micro and nano-homefluencer's contents in beauty fashion, clothing, workout-yoga, food and lifestyle sectors on Instagram.

The findings of this study identify the main five themes of homefluencers by analyzing UGC in the new normal portraying both positive and negative comments incorporating four manners of product placement as a framework backed by two identified skills: relevance and relationship.

This research pioneers the study on how SMIs as “homefluencers” can adapt product placement skills in crises strengthening UGC by proposing a framework in the existing influencer marketing literature, where research is scarce.

The findings of this research represent a guideline for effective SMI marketing development in the new normal and post-COVID. Based on the findings, recommendations are provided for the brand managers and influencers uplifting UGC blending skill of relevancy and relationship in product placement.

The author has contributed to the body of research by qualitatively analyzing how “homefluencer's” product placement in a crisis period can manage consistency and humanitarian association amplifying UGC and the practical implications in post-COVID.

Citizen journalism practices through social networking sites are increasingly becoming an imperative source of public opinion formation. Given the increase in the volume of information sharing on social media during COVID-19, this study aims to grasp the largely unknown interaction of the individual’s trust in citizen journalism practices and public perception formulation. Drawing on this idea, the study has twofold objectives: first, to examine the influence of user-generated information about economic policies of government during COVID-19 as the antecedent of public perception about government performance and second, to identify the moderating role of trust in citizen journalism practices during COVID-19 through social networking sites.

The study used a survey method and a sample of 464 adults were collected through an online administrated questionnaire.

The findings specify that user-generated content that is pro-government economic policies during COVID-19 positively influenced the perception of government performance. On the other hand, user-generated information that criticized government economic policies had a negative influence on public perception.

This study seeks to intensify the understudied phenomenon of how nature and source of the information could interact to influence one’s information processing during a crisis such as pandemic COVID-19. Furthermore, only a little research has been conducted in this area focusing on two mechanisms, namely; citizen journalism and trust in social media user-generated information about prevailing economic insecurities during crisis provided through citizen journalism.

User-generated content (UGC), e.g. YouTube videos on social media, is all around us. These UGCs are primarily demonstrational and/or informational in their execution format. However, viewers could easily misclassify the UGCs and that may be detrimental to the focal product in the UGC. This study aims to investigate this phenomenon.

The study uses an online survey (N = 459). The respondents were randomly exposed to one of the two UGCs – informational or demonstrational – and then responded to questions measuring their attribution and their purchase intention towards the focal product in the UGC.

Results indicate that about 20% of the respondents misclassified the type of UGC. Further, UGC characteristics such as vicarious experience, transparency and connectedness significantly enhance purchase intention, especially for demonstrational videos; demonstrational UGC, when correctly perceived yield the most favorable results; and misclassification does suppress these relationships.

This study contributes to the theory and practice by linking the viewer evaluation of UGC on various evaluative dimensions (i.e. vicarious experience, connectedness, transparency and perceived risk), purchase intention towards the focal product in the UGC and correct or incorrect classification of the UGC format (demonstrational or informational). This study adds to the knowledge base about UGC by highlighting some of the pitfalls when viewers misclassify the UGC format and emphasizes the importance of a match between the content of the UGC and the perceptions and expectations associated with the medium on which it is uploaded. Like any other research, this study too has its limitations. It has only looked at a few possible variables that would predict the purchase intention in the context of the complex and rich phenomenon of UGC. Future studies should look at other sources of misclassification.

Given the ubiquitous nature of social media and their role in consumer decision-making, the findings of this study have serious practical implications. The results of the study highlight steps to be taken by both creators and marketers to improve effectiveness of UGCs.

While this study does not focus on the social aspects of UGCs, it is not difficult to imagine the phenomenon of UGC misclassification, either as a mistake or deliberately induced and its social implications. Fake news seems to be not uncommon.

Even though the impact of consumer-to-consumer information exchange and UGC on consumers’ brand attitude and purchase intention is well recognized, there is limited research on this topic. Further, to the best of the authors’ knowledge, this study is the first to explicitly examine the concept of misclassification and corresponding issues in the context of UGCs.

This paper aims to explore the causal relationship of user-generated content (UGC) on trust in UGC (TUGC), destination image (DI) and tourist visit intention (VI) guided by the stimulus-organism-response (SOR) theory. This work further examined the mediating effect of TUGC and DI between UGC and VI.

Data were collected through online and personal-administered surveys and randomized sampling. This work employed partial least squares structural equation modeling (PLS-SEM) to test the proposed model empirically.

In line with the SOR Theory, this work found UGCs that induce positive emotions and connection to the users motivate VI rather than UGCs that are predominantly factual. Furthermore, UGCs are considered reliable, authentic and less biased than brand-generated content. The findings of this work contribute to the theoretical understanding of UGC to VI in a destination.

This work proposes that destination marketers prioritize UGC that evokes positive emotions and connections with users, as it is more effective in encouraging VI. Strategies such as incentivizing content creators, improving online presence and engaging influencers can maximize UGC. Enhancing online traffic quality, visibility and interaction and implementing content policies are crucial for UGC's effectiveness. Marketers should align destination products with tourists' interests and collaborate with influencers for affiliate marketing to increase tourist-generated UGC. Furthermore, improved connectivity encourages UGCs about the destination.

In tourism marketing, UGC has become a valuable information source for tourists in making informed travel decisions. UGC is a tourist-generated content that offers factual information and authentic experiences through images, videos or text posted through social media platforms. UGC is considered more reputable than travel firms and the mainstream media as an information source. Due to the limited works on UGC in the literature, the influence of UGC on tourists' VIs has remained unexplored at the time of writing. This work bridges this gap by empirically examining the impact of UGC on Gen Z tourists' VI guided by the SOR theory.

User-generated content (UGC), i.e. the feedback from consumers in the electronic market, including structured and unstructured types, has become increasingly important in improving online businesses. However, the ambiguity and heterogeneity, and even the conflict between the two types of UGC, require a better understanding from the perspective of human cognitive psychology. By using online feedback on hotel services, the purpose of this paper is to explore the effects of satisfaction level, opinion dispersion and cultural context background on the interrelationship between structured and unstructured UGC.

Natural language processing techniques – specifically, topic classification and sentiment analysis on the sentence level – are adopted to retrieve consumer sentiment polarity on five attributes relative to itemized ratings. Canonical correlation analyses are conducted to empirically validate the interplay between structured and unstructured UGC among different populations segmented by the mean-variance approach.

The variety of cognitions displayed by individuals affects the general significant interrelationship between structured and unstructured UGC. Extremely dissatisfied consumers or those with heterogeneous opinions tend to have a closer interconnection, and the interaction between valence and dispersion further strengthens or loosens the relationship. The satisfied or neutral consumers tend to show confounding sentiment signals in relation to the two different UGC. Chinese consumers behave differently from non-Chinese consumers, resulting in a relatively looser interplay.

By identifying consistent opinion providers and promoting more valuable UGC, UGC platforms can raise the quality of information generated. Hotels will then be able to enhance their services through the strategic use of UGC by analyzing reviews with dispersed low-itemized rating and by addressing the differences exhibited by non-Chinese customers. This analytical method can also help to create richly structured sentiment information from unstructured UGC.

This paper investigates the variety of cognitive behaviors in the process when UGC are contributed by online reviewers, focussing on the consistency between structured and unstructured UGC. The study helps researchers understanding emotion recognition and affective computing in social media analytics, which is achieved by exploring the variety of UGC information and its relationship to the contributors’ cognitions. The analytical framework adopted also improves the prior techniques.

The paper aims at dealing with the role of users in the creation (or curation) and distribution of digital contents. User generated contents (UGCs) refer to a variety of media such as Wikis, question-answer databases, digital video, blogging, podcasting, forums, review sites, social networking, social media and mobile phone photograph. It attempts assessing their potential role as co-innovators. The paper follows the progressive creation of a new space for users, tracking its specific forms in each subsector of the media and content industries. Each subsector reveals a disruption in the production and circulation of new content.

The paper is based on desk research, a review of literature, review of the technical journals, and analysis of annual reports. The paper is part of an on-going research project on media and content industries.

The paper argued that since 2007 (release of iPhone and Kindle) the landscape went through a dramatic change, scaling up. It illustrates how the entire value chain of content (production/distribution/consumption) has opened up. The amount of UGC produced triggered a qualitative jump, ushering in new modes of interaction between the customers and creators, without necessarily turning the consumer into a full-fledge producer. The UGC model adds another source of production, thereby increasing diversity, ushering in new ways for talent scouting. It reveals various forms of co-creation and the role of a community model while also showing its limits.

This paper concentrates on digital media and does not deal with any other aspect such as knowledge sharing (Wikis). The paper does not cover the reactions of traditional industry players to UGC (some elements are given for newspaper), neither possible policy and regulatory responses The paper relies mostly on reports from news agencies, consultancies or annual reports from companies so as to delineate the main trends.

It shows that the role of customers did change within this context. The new channels offer novel ways to produce, curate and disseminate contents. It offers a range of examples from different industries.

The paper documents the participation of consumers in the production of content. it hints at the evolution of labour, alludes to the issue of diversity and of creativity, but does not address other societal issues.

Some reports were devoted to UGC in 2007 (OECD) and 2008 (Idate-IVIR-TNO) but in spite of the major changes that took place over the past decade, the research has been scarce, or has concentrated on a specific segment of the media industry. The paper is trying to offer a comprehensive overview of the various segments. Each sub-segment of the media industry illustrates a specific dimension.

One of the major challenges within the airline industry is to keep pace with the changing customer perception toward their service quality. This paper aims to demonstrate how sentiment analysis of user-generated big data can be used to research airline service quality as a more comprehensive alternative to other survey-based models by investigating real-time passenger insights.

The present research uses the case of Indigo airlines by studying passenger's trip advisor reviews regarding the low-cost commercial airline service. The authors analyzed 1,777 passenger reviews, which were classified, to uncover sentiments for five dimensions of airline service quality (AIRQUAL).

The findings of the study demonstrate the need for harnessing the brand-related user-generated content shared on online platforms to identify the critical attributes for airline service quality. Further, through the application of sentiment analysis, the paper provides much-needed clarity in the processing of user-generated content. It illustrates the investigation of passenger interactions as a reflection of their satisfaction, expectation, intention and overall opinion toward the airline service quality.

The analytical framework adopted in the study for examining user-generated content (UGC) can be functional for the marketing managers and equip them for handling large-scale data readily available in action-oriented interactive marketing research.

This paper demonstrates how sentiment analysis of user-generated data can be used to research airline service quality as a more comprehensive alternative to other survey-based models. The study supplements the methodological advances in the field of UGC analysis and adds to the existing knowledge domain.

User-generated content and online reviews are highly relevant in purchase decision in the hospitality sector, including restaurants, but there is a lack of knowledge about the effect of sharing pictures in this context. This study aims to focus on the relevance of user-generated photos in online platforms for restaurants’ selection.

A research was conducted with a sample of 319 residents of Porto region, who had at least one meal in a restaurant over the 30 days before the answer of the survey and had searched online to select the restaurant.

The results show that while doing online research about restaurants, it is important for potential consumers to find pictures of food and physical evidences of restaurants generated by other users. Findings also show that consumers find user-generated photos especially at websites of reviews, although the importance of restaurant owned platforms, such as official social media pages and websites.

The research results appeal restaurant managers to understand the importance of user-generated photos in online platforms by promoting photo sharing in their restaurants with appropriate marketing activities for that purpose.

This paper expands the state-of-the-art about the importance of user-generated content, focusing on the importance of photos from restaurants shared by consumers in online platforms.

用户生成内容和在线评论, 与酒店行业, 包括饭店业中的购买决策是密不可分的。但是在这个研究领域里, 对于分享照片的影响力还尚未可知。本论文旨在研究在线平台中的用户生成照片对于饭店选择的影响。

本论文采用问卷采样形式, 问卷样本为在30天之内通过上网搜索选择饭店并且就餐至少一次的葡萄牙波尔图地区居民, 有效样本数量为319份。

人们在上网搜索饭店时, 找到食物图片和其他用户生成的有关饭店评论对于消费者决策有着至关重要的作用。本论文结果还表明, 尽管饭店运营的在线平台比如官方社交媒体网页和网站等很重要, 但是消费者在决策中最考虑的因素是那些评论型网站, 消费者会更倾向于找到用户生成的图片来帮助他们的消费决策。

本论文结果对于饭店管理者理解在线平台的用户生成图片的重要性有着很大的启示。本论文建议其管理者应该使用适当的营销手段来促使自己饭店的相关照片得到用户的分享。

本论文拓展了用户生成内容的现有认识, 研究了饭店照片被消费者分享到在线平台的重要性。

线上口碑效应 e-WOM、在线平台 、在线评论 、照片分享 、饭店管理 、社交媒体 、用户生成内容

研究论文