Impact Of User-generated Content Research Articles

The Impact of User-Generated Content on Brand Perception: A Case Study of Social Media Platforms

In the digital era dominated by social media, understanding the impact of User-Generated Content (UGC) on brand perception is indispensable for businesses. This study explores the nuanced dynamics of UGC, focusing on its positive impacts such as authenticity, increased brand awareness, and improved brand image. It also addresses challenges, including negative UGC and the need for quality control. The research methodology employs a case study approach, examining a specific brand's engagement with UGC on social media platforms through content analysis and social listening. The case study reveals that UGC enhances memory, trust, and social influence, leading to increased engagement and conversion. The authenticity of UGC fosters stronger brand connections, aligning with shifting consumer preferences towards more genuine content. The findings underscore the significance of UGC in shaping consumer behavior and influencing purchasing decisions, urging businesses to embrace UGC strategies for building trust, connecting authentically, and driving sales. The findings underscore the significance of UGC in shaping consumer behavior and influencing purchasing decisions. The study highlights the importance for businesses to embrace UGC strategies for building trust, connecting authentically with their audience, and ultimately driving sales in today's digital landscape. By leveraging the power of UGC, businesses can enhance their brand perception, engage with their audience more effectively, and achieve their marketing objectives in an increasingly competitive marketplace. Keywords: User-generated content (UGC), Brand Perception, Social Media Engagement, Consumer Behavior, Trust, Authenticity, Brand Loyalty, Marketing Strategy, Social Influence, Customer Engagement, Content Analysis, Social Listening, Brand Awareness, Conversion Rate, Community Building, Reputation Management, Influencer Marketing, Content Moderation, Brand Identity, Consumer Sentiment.

The Impact of User-Generated Content on Brand Equity Dimensions and Purchase Intention of Egyptian Telecom Operators’ Subscribers

The Impact of User-Generated Content on Brand Equity Dimensions and Purchase Intention of Egyptian Telecom Operators’ Subscribers

The Impact of User-Generated Content, Social Interactions and virtual Economies on Metaverse Environments

This study examines how user-generated content, social interactions, and virtual economies impact the Metaverse's changing environment. It offers crucial knowledge for policymakers, stakeholders, and developers of the Metaverse in building interesting and long-lasting virtual worlds. The study surveyed 385 respondents from the South Asian demographic using a Likert rating scale through an online survey. Demographic variables were analyzed using SPSS version 29, focusing on frequency and percentage distribution. Means and standard deviations were calculated for each variable and survey item. The main analysis included multiple regression to evaluate hypotheses regarding the interaction between user-generated content, social interaction, and the virtual economy. User-generated content significantly improves Metaverse environments (= 0.22, p<0.01**), highlighting its crucial part in creating immersive virtual spaces. Metaverse environments bene t from social interactions (=0.16, p<0.01**), fostering involvement and community. In the growth of the Metaverse, virtual economies are extremely important (=0.501, p<0.001***), encouraging user participation and innovation. This research, which uses rigorous statistical analysis and focuses on South Asian demographics, offers novel insights into the metaverse dynamics. It serves as a crucial resource for the Metaverse's future growth and development by guiding developers, stakeholders, and policymakers as they navigate the Metaverse's seemingly limitless potential.

The impact of user-generated content in the fashion industry: A case study of SHEIN and PrettyLittleThing

The impact of user-generated content in the fashion industry: A case study of SHEIN and PrettyLittleThing

User-Generated Content and Firm Generated Content: A Comparative Empirical Study of the Consumer Buying Process

This research determines the impact of content marketing (user-generated content (UGC) and firm-generated content (FGC)) on the consumer buying process for telecommunication products and services in the Kurdistan Region of Iraq (KRI). The study attempts to compare the impact of UGC and FGC on the consumer buying process. To achieve this aim, the study utilized a descriptive quantitative methodology. The population of interest for this research is all consumers of telecommunication products in the KRI. Primary data was collected from 402 online questionnaires from a convenience, snowball, sample from the main provinces of Kurdistan. The results indicate that all FGC marketing dimensions have a statistically significant positive direct effect on the consumer buying process, while only content valence and information richness of UGC dimensions have a statistically significant positive direct effect. FGC valence has the greatest impact on the consumer buying process, closely followed by FGC trustworthiness, and then FGC information richness. Between the two examined types of content, FGC has a greater impact than UGC on the consumer buying process for telecommunication products and services. Telecommunications marketers and management should thus prioritize the identified FGC dimensions in their marketing strategies for optimum resource allocation efficiency. Further discussion is provided.

The Impact of User-Generated Content on Customer Loyalty in Food and Beverages Retail: An Empirical Study

The Impact of User-Generated Content on Customer Loyalty in Food and Beverages Retail: An Empirical Study

The Impact of User-Generated Content on Digital Transformation of Tourism and Travel Services: Evidence from the Egyptian Travel Agencies

The Impact of User-Generated Content on Digital Transformation of Tourism and Travel Services: Evidence from the Egyptian Travel Agencies

Modeling and simulation for the impact of EGC strategies on the negative UGC diffusion

The impact of user-generated content (UGC) on enterprises, particularly negative UGC, is well recognized. From the perspective of enterprises, different strategies of enterprise-generated content (EGC) have also been adapted as a response to unexpected UGC; however, few studies have investigated the influence of such strategies on the UGC propagation. This research examines which strategy on the negative UGC propagation is optimal by proposing an EGC-UGC interaction model. It aims to understand the interaction between UGC and EGC in the context of the social network. Using a simulation analysis method to measure the effect of such EGC factors as the first time of issuing EGC, the EGC quantity and the interactive frequency on UGC propagation, this study finds that interactive frequency is the key factor in defending against negative UGC propagation. This research further explores the effect of different strategy combinations referring to the aforementioned three factors on the two types of negative UGC propagation based on deviation distance. The results present two optimal strategies for the two types of negative UGC propagation. Overall, these findings offer some unique implications for UGC management and the information diffusion model of competitive, coexisting information.

Narratives on Facebook: the impact of user-generated content on visiting attitudes, visiting intention and perceptions of destination risk

Through an experiment, this paper investigates the impact of online page popularity and message valences of user-generated content in social media on pro-Iran visiting attitudes and behavioural intention as well as perceptions of destination risk. Moreover, the mediating role of perceived risk and visiting attitudes in the effect of page popularity and message valences on visiting intention is examined. Six different versions of pro-Iran visiting community Facebook pages with three different message valences and two levels of popularity were created. One hundred twenty participants were randomly exposed to one of the six Facebook pages and then asked to complete a questionnaire that assessed demographic data; visiting attitude; visiting intention; travel risk type; and perceived risk index. The perceived risk index was developed by this study through conducting online open-ended interviews. The findings show that success stories and high popularity lead to more positive attitude, higher level of intention to visit, and lower perceptions of destination risk than failure stories and low popularity. Popularity dampens the negative effect of failure stories on users’ visiting attitudes. Moreover, perceived risk underlies the pathway of page popularity and message valences to individuals’ visiting attitude and intention.

User-Generated Content in Pervasive Games

User-generated content (UGC) is already incorporated in several computer game instances wherein the players may create, edit and release their own content to the game world, thus influencing the game's evolution as well as the experience of other players. Lately, pervasive games have emerged as an exciting new development in gaming extending the boundaries of play out in the real word. The effectiveness of pervasive games in creating immersive live-action game experiences principally depends on the correlation of the game content with actual physical elements. To address this issue, most pervasive game prototypes so far have been bound to specific locations, while game content has been manually edited by the developers; they have also been heavily dependent on the mediation of orchestration teams. Nevertheless, the capacity of pervasive games to be staged anywhere (i.e. their portability) is critical for their wider adoption and commercial success. Since the manual creation of game content is not feasible in portable games, UGC remains as the only practical option for content provision. Notably, the impact of UGC has not been studied so far in the pervasive games literature. This article introduces Barbarossa , a pervasive role-playing game based on UGC. Barbarossa serves as a testbed for investigating the effect of UGC under diverse technical, functional and game play characteristics. The user trials of Barbarossa confirmed that the effective use of UGC can enhance the quality of experience perceived by players and indirectly serve as a useful orchestration tool. We also document best practices with respect to the effective use of UGC in pervasive games, which could be useful to future developers.

Impact of User-Generated Content on Purchase Intention for Fashion Products:A Study on Women Consumers in Bangalore

The advent of online media has been instrumental in providing consumers with quick, relevant, and convenient information on products and services. The success of such media has been established for businesses such as tourism, automobile, and consumer electronics- wherein consumers tend to decide on final purchases based on user - generated content (UGC) such as customer reviews and feedback rather than on traditional advertising media. With short lead times, quick turnaround of products, and frequent changes in offerings, the fashion industry is also exploring the use of such user-generated content for marketing its products. This study sought to explore and understand the relevant factors that draw consumers towards the usage of user-generated content (UGC) in the online space for the fashion business, and its impact on the purchase intention for different categories of fashion products. The study focused on the cosmopolitan city of Bengaluru, known for its fashion centricity and brand awareness. It attempted to analyze the factors for reference to media content generated by co-consumers, especially amongst women, and inferred that content that provides them with gratifications relating to social acceptance are more liable to positively influence their intent to purchase. It also specifically identified product categories that are liable to benefit from such content.

Introduction to the Special Issue on the Emergence and Impact of User-Generated Content

The growth of the “social” Web has resulted in the enormous growth of what is referred to as user-generated content, or UGC. UGC takes the form of product reviews, descriptions of product usage, “homemade advertising,” blogs, and other consumer-initiated contributions. Following a research competition cosponsored by the Marketing Science Institute and the Wharton Interactive Media Initiative (now known as the Wharton Customer Analytics Initiative), a call for papers for a special issue of Marketing Science resulted in 69 submissions. Of these, eight papers were accepted, covering a range of issues such as how and why people make UGC contributions, the impact of UGC contributions, and new methods for analyzing UGC data.

Does Chatter Matter? The Impact of User-Generated Content on Music Sales

The Internet has enabled a new era of user-generated content, threatening the hegemony of traditional content generators as the primary sources of “legitimate” information. In this study, we examine the usefulness of such content, consisting of data from blogs and social networking sites, in predicting sales in the music industry. We track changes in online chatter for a sample of 108 albums for four weeks before and after their release dates. We identify the significance of variables on the observation date in predicting future album unit sales one, two, and three weeks ahead. Our findings are that future sales are positively correlated with (a) the volume of blog posts about an album, and (b) traditional factors such as whether the album is released by a major label and reviews from mainstream sources like Rolling Stone. More generally, the study provides some preliminary answers for marketing managers interested in assessing the relative importance of the burgeoning number of “Web 2.0” information metrics that are becoming available on the Internet. The study also provides a framework for thinking about when user-generated content influences decision making.

Call for Papers—Special Issue of Marketing Science on User-Generated Content (UGC)

A call for funded proposals that was jointly sponsored by the Wharton Interactive Media Initiative (http://www.whartoninteractive.com) and the Marketing Science Institute (http:// www.msi.org) on UGC demonstrated a strong interest in a variety of research approaches (e.g., experimental, analytical theory, empirical structural, statistical, and data mining) that are being used to study the creation of and impact of UGC. Marketing Science strongly supports this area as important to our field—hence, this call for papers for a special issue. Marketing Science is looking for innovative and groundbreaking papers that address issues related to UGC. Examples of paper topics might include the following:

Does Chatter Matter? The Impact of User-Generated Content on Music Sales

The Internet has enabled the era of user-generated content, threatening the hegemony of traditional content generators as the primary sources of information. In this study, we examine the usefulness of such content, consisting of data from blogs and social networking sites, in predicting sales in the music industry. We track changes in online chatter for a sample of 108 albums for four weeks before and after their release dates. We use linear and nonlinear regression to identify the relative significance of variables on the observation date in predicting future album unit sales two weeks ahead. Our findings are that future sales are positively correlated with (a) the volume of blog posts about an album, (b) traditional factors such as whether the album is released by a major label and reviews from mainstream sources like Rolling Stone, and (c) blog chatter above a certain critical mass of legitimate blog posts, in this case more than 250, before an album is released. More generally, the study provides some preliminary answers for marketing managers interested in assessing the relative importance of the burgeoning number of Web 2.0 information metrics that are becoming available on the Internet, and shows that looking at interactions among them could provide predictive value beyond viewing them in isolation. The study also provides a framework for thinking about when user-generated content influences decision making.