R
Ruochen Liao
Researcher at University at Buffalo
Publications - 11
Citations - 38
Ruochen Liao is an academic researcher from University at Buffalo. The author has contributed to research in topics: Socioemotional selectivity theory & Knowledge sharing. The author has an hindex of 2, co-authored 9 publications receiving 20 citations.
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Journal ArticleDOI
Computer assisted frauds: An examination of offender and offense characteristics in relation to arrests
TL;DR: Examination of characteristics of frauds and their associated respective law enforcement response with particular emphasis on frauds facilitated by information technology shows how the prosecution and conviction of the offenders differ among commonly-seen types of computer assisted frauds.
Journal ArticleDOI
Older adults in virtual communities: understanding the antecedents of knowledge contribution and knowledge seeking through the lens of socioemotional selectivity and social cognitive theories
TL;DR: Wang et al. as mentioned in this paper investigated the antecedent factors that motivate older adults' knowledge contribution and knowledge seeking behaviors in virtual communities, including socio-emotional selectivity and social cognitive theories.
Journal ArticleDOI
Cybersecurity Interventions for Teens: Two Time-Based Approaches
TL;DR: Intervention effectiveness is shown to vary in its influence on teenagers’ outcomes with cybersecurity problem-solving and engagement, and females experienced greater growth in cybersecurity self-efficacy relative to males.
Proceedings ArticleDOI
Effects of Leaderboards in Games on Consumer Engagement
TL;DR: It is important for businesses and organizations to be able to gauge the impact of gamified interventions and evaluate return on investment.
Proceedings Article
Users’ Continued Usage of Online Healthcare Virtual Communities: An Empirical Investigation in the Context of HIV Support Communities
TL;DR: Data from an online HIV/AIDS health support virtual community is used to examine whether users’ emotional states and the social support they receive influence their continued usage and results show that users showing a higher level of disbelief and yearning are more likely to leave the community than those with a high level of anger and depression.