Search Results (8)

Companies use emoticons in the content of their brand fan pages as a means to enhance their relationships with consumers. Few studies have been conducted on how emoticons work on Facebook brand fan pages. In addition, previous research on emoticons does not provide any obvious mechanism for emoticons’ effects, and their findings also have certain limitations as a result that reveal mixed results. This study was designed to clarify the mechanism for emoticons’ effects. Two studies were conducted in total. In Study 1, we conducted a one-way ANOVA on 82 subjects recruited through Amazon Mechanical Turk (MTurk) and PROCESS macro model 4 for the mediation analysis. We confirmed that emoticons lowered the perceived functional value of brand fan pages and increased the perceived hedonic value. In addition, we found that the influence of emoticons on consumer attitudes toward brand fan page was only mediated by the hedonic value. In Study 2A, which examined the influence of product type and brand status, we conducted a 2 (emoticons) × 2 (product type) × 2 (brand status) ANOVA on 233 subjects recruited through Amazon MTurk, and contrast analysis and PROCESS macro model 6 were used for the interaction effect analysis and mediation analysis. We found that the positive effect of emoticons only occurred in utilitarian products with high brand status and hedonic products with low brand status. Study 2B, conducted using an Instagram version, yielded results identical to those of Study 2A. Finally, this study’s theoretical and practical implications are discussed. Full article

In the current era, social media is changing how people interact with each other and their perceptions of branding, marketing, and commerce. Due to the growing concern about the sustainability of the environment and the wellbeing of societies, green marketing and branding are essential to reach these aims. Leveraging the power of brand pages in social media for green branding and impact are critical issues. This study is concerned with information influence, persuasiveness, adoption, and its impact on green page use engagement, especially on social media, such as Facebook. Based on the perspective of the Information Adoption Model (IAM) and Information Acceptance Model (IACM) that integrated theories from information influence and adoption, this study advances by identifying the antecedents of information usefulness and applying information adoption in the context of Facebook brand engagement. A questionnaire survey with 416 valid responses from Facebook fan page users is used. The hypotheses of the proposed model are tested using a structural equation model with AMOS software. The results show that: (1) Information and source credibility are two critical antecedents of information usefulness with different degrees of impact. (2) Information usefulness, brand engagement, and brand loyalty are found to have a significant cause-and-effect relationship. (3) Brand engagement is found to mediate the relationship between information usefulness and brand loyalty. (4) Enhancing information usefulness would improve customers’ brand loyalty to the brand pages. The significant findings of this study could provide insightful information on how to improve the engagement and loyalty of Facebook brand page users to sustain the benefits of green marketing. Full article

Because of the complexity of the actors and the relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze the effectiveness of the network for the social actors who are there. This work presents a social network analysis approach that focused on processing Facebook pages and users who react to posts to infer influential people. In our study, we are particularly interested in studying the relationships between the posts of the page, and the reactions of fans (users) towards these posts. The topics covered include data crawling, graph modeling, and exploratory analysis using statistical tools and machine learning algorithms. We seek to detect influential people in the sense that the influence of a Facebook user lies in their ability to transmit and disseminate information. Once determined, these users have an impact on business for a specific brand. The proposed exploratory analysis has shown that the network structure and its properties have important implications for the outcome of interest. Full article

Purpose—Using a sample of universities from Europe and North America the research herein seeks to understand the content trends of university brand pages through an exploration of the social community and the measurement of user participation and behavior. The analysis relies on an artificial intelligence approach. Through the verification of interactions between users and content on the university brand pages, recommendations are made, which aim to ensure the pages meet the needs of users in the future. Design/methodology/approach—The study sample was drawn from six well-known universities in Europe and North America. The content of 23,158 posts made over the course of nine years between 1 January 2011 to 31 December 2019 was obtained by a web crawler. Concepts in the fields of computer science, data mining, big data and ensemble learning (Random Decision Forests, eXtreme Gradient Boosting and AdaBoost) were combined to analyze the results obtained from social media exploration. Findings—By exploring community content and using artificial intelligence analysis, the research identified key information on the university brand pages that significantly affected the cognition and behavior of users. The results suggest that distinct levels of user participation arise from the use of different key messages on the university fan page. The interactive characteristics identified within the study sample were classified as one of the following module-types: (a) information and entertainment satisfaction module, (b) compound identity verification module or (c) compound interactive satisfaction module. Research limitations/implications—The study makes a contribution to the literature by developing a university community information interaction model, which explains different user behaviors, and by examining the impact of common key (image) clues contained within community information. This work also confirms that the behavioral involvement of users on the university’s brand page is closely related to the information present within the university community. A limitation of the study was the restriction of the sample to only European and North American cultural and economic backgrounds and the use of Facebook as the sole source of information about the university community. Practical implications—Practically, the research contributes to our understanding of how, in official community interactions, user interactions can be directed by features such as information stimuli and brand meanings. In addition, the work clarifies the relationship between information and user needs, explaining how the information characteristics and interaction rules particular to a given school can be strengthened in order to better manage the university brand page and increase both the attention and interaction of page users. Originality/value—This research provides an important explanation of the role of key information on the university fan pages and verifies the importance of establishing key (image) clues in the brand community, which in turn affect user cognition and interaction. Although related research exists on information manipulation and the importance of online communities, few studies have directly discussed the influence of key information on the fan pages of university brands. Therefore, this research will help to fill gaps in the literature and practice by examining a specific context, while at the same time providing a valuable and specific reference for the community operation and management of other related university brands. Full article

This study aims to establish actionable guidelines and provide strategic insights as a means of increasing the social media effectiveness of consumer brands. Post-related factors in addition to the contextual and temporal factors influencing consumer engagement (i.e., reposting, commenting on or liking posts), as an indicator of social media effectiveness, are considered in detail in the research model. Moreover, the model considers differences between industries as well as social media platforms. A total of 1130 posts made by four brands, two each from the durable goods and fast-moving consumer goods sectors, were collected from Facebook and Twitter in Turkey. Through predictive analysis, four different machine learning algorithms were utilized to develop easy-to-apply plans of action and strategies. The findings highlight the significant impact of videos, images, post frequency and interactivity on engagement. Furthermore, social media platforms and the brands themselves were found to be instrumental in influencing engagement levels, indicating that more than one formula is needed for effective social media management. The range and depth of the post-related factors (e.g., image type, video length, kind of interactivity) considered go far beyond those found in the significant majority of similar studies. Moreover, the unique setting and the novel data analysis algorithms applied set this study apart from similar ones. Full article

Nowadays, numerous companies present themselves on social networking sites (SNSs) by establishing brand communities to maintain continuous interaction with existing and potential customers to influence their brand choices, promote the products and services, and cultivate brand loyalty. However, the research into online brand communities is mainly centered on that utilizing the platforms of websites instead of using social media platforms. Thus, it calls for more studies to investigate consumer brand fan page engagement behavior to increase their fan base and further induce a fan’s purchase behavior. By adopting the perspectives of co-production and social identity theory, this study endeavors to investigate the impact of customer perceived value derived from engaging in brand fan pages on their identification with and stickiness to an online brand community in the SNS-based context. The target population of this study is consumers who have ever participated in an online brand community. Data was collected through a web-based survey. After deleting 36 incomplete responses, 524 usable responses remained for further analysis, with an effective sample rate of 93.57%. The results revealed that utilitarian value, hedonic value, and monetary value separately exerted a significantly positive effect on community identification. Utilitarian value and hedonic value also had significantly positive effects on community stickiness. Moreover, community identification was positively related to community stickiness. Community identification was found to have significantly positive influences on both word-of-mouth and repurchase intention. Furthermore, community stickiness exerted a significantly positive effect on word-of-mouth and repurchase intention. This study confirms the importance of perceived value on enhancing consumers’ identification with and their stickiness to online brand communities. Therefore, businesses should provide consumers with the value they desired to cultivate customer loyalty to their brand fan pages. Full article

This study targeted community members who have purchased smartphone and have joined the official brand fan pages of the smartphone brands for at least six months. A total of 681 valid samples were collected. Structural equation modeling was employed to conduct path analyses, and the results show that the 7 hypothetical paths proposed in this study are supported by the theoretical model, which exhibited desirable goodness of fit. In the mediation effect, brand passions partially mediate exogenous factors and brand loyalty. This study is aimed at increasing understanding of how a firm that possesses a cluster of fans who actively protect its brand maintain a strong brand relationship with its brand fans through brand community. Full article

The effect of the Internet and social media on consumer behavior has recently begun to outweigh the effect of traditional marketing strategies. Therefore, numerous enterprises have begun to use social media to communicate with brand users, and social media has b"ecome the optimal tool for brand marketing. According to current brand-community relationships from the perspectives of brand authenticity and brand identification, we identified the mediating factors (brand trust and brand passion) of relationships between community members and brands and developed an integrated model to determine the effects of these factors on community member purchase intentions. The research targets in the present study were consumers who had purchased products from one of the top three cosmetic brands in Taiwan and had been a member of the brand’s official fan page for at least 1 year. Overall, 484 valid samples were collected in this study. We employed structural equation modeling to examine our model. Five hypotheses were supported, and excellent model fits to the data were obtained. Additionally, this study discovered that brand trust and brand passion played crucial mediating roles. Finally, we propose management implications and make suggestions that can serve as a reference for brand community managers Full article