Understanding the perceived community value of Facebook users

Lee, Maria R.; Yen, David C.; Hsiao, Cheng‐Chieh

doi:10.1016/j.chb.2014.03.018

Cited by 106 publications

(79 citation statements)

References 78 publications

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“…information quality, product-related learning, and economic values. Information quality was developed from the study of Lee et al (2014) and Shi et al (2016). Product-related learning and economic benefit measurement were adapted from Shi et al (2016).…”

Section: Methodsmentioning

confidence: 99%

Continuance interaction intention in retailing

Foroudi

Cuomo

Foroudi

2019

ITP

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Purpose Social media as a competitive marketing tool deliver online platforms for retailers to get closer to their consumers/visitors/shoppers through continued interaction. The purpose of this paper is to scrutinize how customer values (functional, social and experimental) enhance satisfaction, loyalty and identification, and how such relationships, in turn, impact users’ continuance interaction intention. Design/methodology/approach A mixed-method approach was designed to identify the consumers’ perception toward high-end retailers of worldwide brands. In all, 12 interviews with experts in retailing and a survey among 390 respondents were conducted. Structural equation modeling/AMOS was employed to gain insight into the various relationships and influences. Findings To augment users’ continuance interaction intention, the results indicate that retail managers should focus more on customer-based values when they design marketing strategies for brand pages on social media. The findings also provide guidelines for retail marketing and social media managers to generate consumer value in the retail environment via information quality, product-related learning and economic benefits (functional value); interaction, collaboration and social presence (social value); and experiential value (intellectual and effective value). Originality/value The paper offers critical managerial contributions by presenting a comprehensive picture of the condition in which a favorable brand social media page could be constructed within a brand to satisfy consumer value and achieve satisfaction, loyalty, identification and continuance interaction intention, all of which are critical objectives for every company. In other words, a clear knowledge of the dimensions of consumer value concepts can assist retail communication managers to improve consumers’/visitors’/shoppers’ intention to continue their interaction in a competitive market. The current study is one of the very few emerging research studies to have examined the relationships between consumers’/visitors’/shoppers’ functional values, social values and experimental values empirically, and to have further explored the relationships between the research constructs.

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Section: Methodsmentioning

confidence: 99%

Continuance interaction intention in retailing

Foroudi

Cuomo

Foroudi

2019

ITP

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“…Lee, Yen, & Hsiao, 2014;K.-Y. To characterize users in role analysis, behavioral features are artificially categorized into three types based on the motivation theory.…”

Section: Feature Engineeringmentioning

confidence: 99%

“…Many studies have been focused on discovering relationships between online social network usage and different motivations (M.R. Lee, Yen, & Hsiao, 2014;K.-Y. Lin & Lu, 2011;Malik, Dhir, & Nieminen, 2016;Ross et al, 2009).…”

Section: Feature Engineeringmentioning

confidence: 99%

Identifying social roles using heterogeneous features in online social networks

Liu

Sun

et al. 2019

Asso for Info Science & Tech

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Role analysis plays an important role when exploring social media and knowledge-sharing platforms for designing marking strategies. However, current methods in role analysis have overlooked content generated by users (e.g., posts) in social media and hence focus more on user behavior analysis. The user-generated content is very important for characterizing users. In this paper, we propose a novel method which integrates both user behavior and posted content by users to identify roles in online social networks. The proposed method models a role as a joint distribution of Gaussian distribution and multinomial distribution, which represent user behavioral feature and content feature respectively. The proposed method can be used to determine the number of roles concerned automatically. The experimental results show that the proposed method can be used to identify various roles more effectively and to get more insights on such characteristics.

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“…33 Lee, Yen, and Hsiao studied the value of interaction and information sharing on social media: "A sense of belonging is achieved when a friend replies to or 'Likes' a post on Facebook." 34 Lee found that Facebook users perceived real--world social value from shared trust and shared vision developed and expressed through information--sharing on social media. Research from Oh, Ozkaya, and LaRose indicated that users who engaged in a certain quality of social media interactivity perceived an enhanced sense of community and life satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%