J
Jun Zhang
Researcher at City University of Hong Kong
Publications - 18
Citations - 520
Jun Zhang is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Social learning theory & Interior design. The author has an hindex of 8, co-authored 17 publications receiving 379 citations. Previous affiliations of Jun Zhang include University of Hong Kong & University of Science and Technology of China.
Papers
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Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model
TL;DR: The social media cyberbullying model (SMCBM), which modifies Akers’ [Akers RL (2011) Social Learning and Socia...
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Nature or nurture? A meta-analysis of the factors that maximize the prediction of digital piracy by using social cognitive theory as a framework
TL;DR: A meta-analytic analysis of the digital piracy literature suggests that four key sets of factors maximize prediction and suggest opportunities to further synthesize the literature and expand the boundaries of digital piracy research.
Posted Content
“Fire Sales” in housing market: is the house-searching process similar to a theme park visit?
Charles Ka Yui Leung,Jun Zhang +1 more
TL;DR: In this article, the authors provide a unified framework which mimics the positive correlation between housing prices and trading volume, between housing price and the time-on-the-market (TOM), and the existence of price dispersion.
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The Market Valuation of Interior Design and Developers strategies: a simple Theory and some Evidence
TL;DR: In this article, the importance of internal design variables in a hedonic pricing model was confirmed, which is applied to a large dataset of high-rise apartment buildings in Asia, and the evidence is consistent with a simple theory that developers strategically use interior design to "dilute" the effect of location.
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An Integrative Theory Addressing Cyberharassment in the Light of Technology-Based Opportunism
TL;DR: It is shown that anonymity, asynchronicity, and lack of monitoring are the technology choices that foster CH, and thus these should be mitigated in designing social media and other communication technologies and thus the role of technology in fostering CH is crucial, regardless of the sample.