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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.