• Title/Summary/Keyword: Brand Engagement

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How Trust in Human-like AI-based Service on Social Media Will Influence Customer Engagement: Exploratory Research to Develop the Scale of Trust in Human-like AI-based Service

  • Jin Jingchuan;Shali Wu
    • Asia Marketing Journal
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    • v.26 no.2
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    • pp.129-144
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    • 2024
  • This research is on how people's trust in human-like AI-based service will influence customer engagement (CE). This study will discuss the relationship between trust and CE and explore how people's trust in AI affects CE when they lack knowledge of the company/brand. Items from the philosophical study of trust were extracted to build a scale suitable for trust in AI. The scale's reliability was ensured, and six components of trust in AI were merged into three dimensions: trust based on Quality Assurance, Risk-taking, and Corporate Social Responsibility. Trust based on quality assurance and risk-taking is verified to positively impact customer engagement, and the feelings about AI-based service fully mediate between all three dimensions of trust in AI and CE. The new trust scale for human-like AI-based services on social media sheds light on further research. The relationship between trust in AI and CE provides a theoretical basis for subsequent research.

Online Brand Community and Its Outcomes

  • Ha, Yongsoo
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.4
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    • pp.107-116
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    • 2018
  • The aim of this study is to delve deeper into the online brand community study. This study tests (a) the effects of online brand community on its outcomes, (b) the impact of value creation practice construct as a whole, (c) the effects of value creating practice construct on the two types of loyalty, loyalty toward the brand and the community. Participants of this study (N=353) are members of four types of online brand communities (e.g., business-to-consumer virtual product support community, firm-hosted online community, user-generated online community, peer-to-peer problem-solving community, and social media based brand community). Data were collected online using Amazon Mechanical Turk from April 10, 2016 to May 10, 2016. The data were analyzed through structural equations modeling using AMOS 20. The three community markers (e.g., consciousness of kind, rituals and traditions, and moral responsibility) and the four value creation practices (e.g., social networking, impression management, community engagement, and brand use) are proved to be significant indicators of online brand community and value creation practice constructs, respectively. Test results showed that strong and effective online brand communities generate value creation practices, and value creation practices enhance brand loyalty. The mediating effects of community loyalty between value creation practices and brand loyalty were revealed.

Understanding Brand Image from Consumer-generated Hashtags

  • Park, Keeyeon Ki-cheon;Kim, Hye-jin
    • Asia Marketing Journal
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    • v.22 no.3
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    • pp.71-85
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    • 2020
  • Social media has emerged as a major hub of engagement between brands and consumers in recent years, and allows user-generated content to serve as a powerful means of encouraging communication between the sides. However, it is challenging to negotiate user-generated content owing to its lack of structure and the enormous amount generated. This study focuses on the hashtag, a metadata tag that reflects customers' brand perception through social media platforms. Online users share their knowledge and impressions using a wide variety of hashtags. We examine hashtags that co-occur with particular branded hashtags on the social media platform, Instagram, to derive insights about brand perception. We apply text mining technology and network analysis to identify the perceptions of brand images among consumers on the site, where this helps distinguish among the diverse personalities of the brands. This study contributes to highlighting the value of hashtags in constructing brand personality in the context of online marketing.

Emoji advertising in social media and its effects on consumer behavior: Assessing purchase intentions and brand metaphorical warmth

  • Chen, Mingyuan;Hu, Jiayu;Yoo, Seungchul
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.129-139
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    • 2024
  • In digital marketing, the strategic use of emojis in social media advertising, particularly on the Xiaohongshu app, significantly influences consumer acceptance and purchase behavior. This study examines the impact of emoji-laden advertisements and the role of brand metaphorical warmth on consumer perceptions. Employing a tailored questionnaire, the research explores how emojis affect brand advertisement reception, filling a gap in empirical research on emoji advertising effectiveness. Findings indicate that emojis, when used judiciously, enhance consumer acceptance and contribute to a positive brand perception. However, excessive use may undermine trust. Brand metaphorical warmth emerges as a crucial factor, suggesting that emojis can effectively convey warmth, fostering a deeper emotional connection with consumers. These insights offer practical implications for refining social media marketing strategies, advocating for a balanced approach to emoji usage in advertisements to optimize engagement and influence consumer behavior.

Effects of Performance, Imagery and Regulatory Focus on Customer Engagement

  • Choi, Nak-Hwan;Nguyen, Quynh Mai;Teng, Zhuoqi
    • Journal of Distribution Science
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    • v.17 no.1
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    • pp.57-72
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    • 2019
  • Purpose - Current study aimed at investigating customer experience types (gain vs. loss avoidance performance experience and hedonic vs. reliability imagery experience) and their influences on satisfaction and positive emotion as antecedents of customer engagement. It also explored moderation role of regulatory focus in the influence of each experience type on satisfaction and positive emotion. Research design, data, and methodology - 416 Vietnamese local tourists were selected to test hypotheses by structural equation model in AMOS 21.0. Results - First, customers actually achieving gain or avoiding loss are more satisfied. Second, customers with hedonic and reliability imagery experience feel more positive emotion. Third, both positive emotion and satisfaction have positive influences on customer engagement. Last, regulatory focus moderates the positive effects of either gain or loss avoidance performance experience on satisfaction and also moderates the positive effects of either hedonic or reliability imagery experience on positive emotion. Conclusions - Focusing on both cognitive satisfaction and affective emotion resulted from experience, this study could advance customer engagement theory. Managerially, brand managers should induce gain performance and hedonic imagery experience (loss avoidance performance and reliability imagery experience) from promotion (prevention)-focused customers to enhance their engagement.

Examining the Functions of Attributes of Mobile Applications to Build Brand Community

  • Yi, Kyonghwa;Ruddock, Mullykar;Kim, HJ Maria
    • Journal of Fashion Business
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    • v.19 no.6
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    • pp.82-100
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    • 2015
  • Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.

The Effects of Influencer Marketing on Brand Attitude

  • Ho Gil YOO;Lee Seung KWON
    • Journal of Wellbeing Management and Applied Psychology
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    • v.7 no.2
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    • pp.39-47
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    • 2024
  • This study investigates the impact of mega-influencers and micro-influencers on consumer trust, brand attitude, and purchase intention within the beauty industry. Methods: A survey of 160 adults was conducted in March 2024, analyzing responses to the influence of a beauty mega-influencer ("Isa Bae") and a micro-influencer ("Day Beauty"). Participants were surveyed online over two weeks, and the data were analyzed using statistical tools to compare the influence of both types of influencers. Results: The results indicated that mega-influencers had a more substantial effect on reliability and brand attitude compared to micro-influencers, although both types of influencers significantly influenced purchase intentions. Influencer attractiveness and expertise emerged as critical factors in shaping consumer perceptions and behaviors. Conclusion: This study provides insights into optimizing influencer marketing strategies by leveraging the distinct characteristics and scales of influencers to enhance consumer engagement and brand loyalty. The findings underscore the importance of choosing the appropriate influencer type to maximize marketing effectiveness and consumer trust in the digital marketing landscape.

Distribution of Brand Love on Customers' Behavioral Intention: Cases of Five-star Hotels

  • CAO, Tri Minh;TRAN, Thanh Thi Chieu
    • Journal of Distribution Science
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    • v.20 no.4
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    • pp.21-31
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    • 2022
  • Purpose: The study focuses on the distribution of brand love on customers' behavioral intention at five-star hotels in Vietnam. Furthermore, the study also assesses the role of mediating variables and moderating variable involved in the research model. Research design, data and methodology This research surveys 458 customers using the services of five-star hotels in Vietnam through questionnaires on online platforms. Data cleaning and data analysis using SPSS 25.0 software combined with Smart-PLS 3.0 software were used in the research to evaluate the measurement model and structural model. Results: From the results of the structural model evaluation, it shows the positive distribution of brand love on customers' behavioral intentions towards five-star hotels in Vietnam. The mediating roles of brand engagement, brand equity, customer motivation, and the participation of the moderating variable, customer expectations, are determined by this research model. Conclusions: Based on the study results, the distribution of brand love positively affects customers' behavioral intention at five-star hotels in Vietnam, giving recommendations that have a positive impact on customer behavioral intention. In addition, the study shows the role of mediating variables as well as exploring the moderator's (customer expectations) in the distribution of relationships between customer motivation and customer behavioral intention.

[Review] The Impact of Character Collaboration Product Characteristics on Brand Awareness and Purchase Intention: Focusing on F&B Products

  • Kyung Tae JANG;Senghyeon LEE;Seong-Soo CHA
    • The Korean Journal of Food & Health Convergence
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    • v.10 no.2
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    • pp.1-5
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    • 2024
  • This study aims to investigate the impact of character collaboration product characteristics on brand awareness and purchase intention within the food and beverage (F&B) industry, with a special focus on Generation MZ's growing interest in such products. The methodology involves a comprehensive review of existing literature on character marketing, brand awareness, and consumer purchase intention, supplemented by case studies of successful character collaborations in the F&B sector. The findings reveal that character collaborations significantly impact brand awareness and purchase intentions, particularly among younger consumers like Generation MZ. These collaborations not only rekindle nostalgia but also introduce new and exciting consumer experiences, effectively attracting a wide demographic. The success of character-themed products, from Pokémon bread to Coca-Cola's League of Legends collaboration, underscores the strategy's effectiveness in boosting brand recognition and consumer engagement. The implications of this research are manifold for the F&B industry. Firstly, it highlights the importance of leveraging popular characters to forge emotional connections with consumers. Secondly, it suggests that product development should closely align with consumer preferences and market trends to maximize appeal. Lastly, it positions character collaboration as a strategic marketing tool that not only enhances product sales but also strengthens brand loyalty and facilitates sustained brand growth.

Dark Sides of Engaging in Fan Community of Human Brand

  • Han, Jeongsoo;Kim, Chung K.;Kim, Miyea;Jun, Mina;Kim, Joshua Y.
    • Asia Marketing Journal
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    • v.16 no.1
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    • pp.133-148
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    • 2014
  • People enthusiastic about human brands eagerly engage in fan communities to share their common interests with others. Although sharing one's enthusiasm towards the same celebrities can give thempositive senses of we-ness (in-group identity, togetherness, camaraderie) and belongingness, negative sides also exist such as schadenfreude and trash talk. Even though the studies addressing the negative sides of fan community are gaining significance, no prior studies formally examined the negative consequences of engaging in a fan community and their effect on one's well-being. Therefore, this current study aims to investigate how engaging in fan community negatively affects members' psychological well-being through schadenfreude and trash talk. Structural equation modeling analysis revealed that engaging highly in a fan community leads members to feel malicious pleasure at rivals' misfortunes and share negative opinions of rival human brands and fan communities. These negative consequences of fan community engagement ultimately lead to a lower level of psychological wellbeing, especially in the area of personal growth whereas fan community engagement has a direct positive effect on personal growth. By showing the negative influences of engaging in fan communities on members' well-being through schadenfreude and trash talk, the results of this study are expected to add depth to the existing literature.

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