2023
DOI: 10.1016/j.tele.2022.101926
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Factors influencing users’ post replying behavior in a senior online community: An empirical investigation

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Cited by 15 publications
(8 citation statements)
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“…The main challenge is that online communities are not often organised by age but by interests, hobbies, needs and preferences (Ivan, 2019). There were limited studies that could identify older people's online communities (Nimrod, 2011(Nimrod, , 2012Qian et al, 2023;Wilson-Nash et al, 2023;Zhao et al, 2020), accessing the forum, microblogs, discussion boards and chat rooms community type. Nonetheless, the present study was able to identify the online community of this target group on social media.…”
Section: Online Community Selectionmentioning
confidence: 99%
“…The main challenge is that online communities are not often organised by age but by interests, hobbies, needs and preferences (Ivan, 2019). There were limited studies that could identify older people's online communities (Nimrod, 2011(Nimrod, , 2012Qian et al, 2023;Wilson-Nash et al, 2023;Zhao et al, 2020), accessing the forum, microblogs, discussion boards and chat rooms community type. Nonetheless, the present study was able to identify the online community of this target group on social media.…”
Section: Online Community Selectionmentioning
confidence: 99%
“…People may receive information either in an active way (e.g., purposeful information seeking) or in a passive way (e.g., information scanning). Previous research on information acquisition (including exposure, seeking, and scanning) 1 examined its role in predicting different health outcomes, such as adoption of e-Government applications for risk communication (Park & Lee, 2018), healthier lifestyles (exercising, diet, and smoking, Lewis et al, 2022; Rimal et al, 1999), reduced vaping habits (Yang et al, 2019), increased health knowledge and literacy (Jin et al, 2019; Qian et al, 2023), cancer preventive behaviors (Chae & Lee, 2019; Hornik et al, 2013), and preventive behaviors during the COVID-19 pandemic (Yang & Cao, 2022; Zheng et al, 2022; Zhou & Roberto, 2022). For example, using a two-wave data of 158 students in United States, Zhou and Roberto (2022) found that COVID-19 vaccination intention was determined by vaccine-related information seeking.…”
Section: Literature Reviewmentioning
confidence: 99%
“…, 2019) have been widely used in credit evaluation models. Enterprises' social behavior is positively related to their performance (Qian et al. , 2023; Zhang et al.…”
Section: Introductionmentioning
confidence: 99%
“…Specifically, text information (Kriebel and Stitz, 2022), social connections such as followers (Gul et al, 2018) and friendship relationships (Freedman and Jin, 2017; Oskarsd ottir et al, 2019) have been widely used in credit evaluation models. Enterprises' social behavior is positively related to their performance (Qian et al, 2023;Zhang et al, 2020b;Park and Kim, 2023), so activities (i.e. questions, posts, comments and social networks) containing corporate credit information are the behavioral data that this paper focuses on.…”
Section: Introductionmentioning
confidence: 99%