Jun Zhang
Social Psychology · with Lowry · 2016
A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Social Psychology — 44 citations into it
- Sociology and Political Science — 35 citations into it
- Education — 34 citations into it
- Artificial Intelligence — 20 citations into it
- Information Systems and Management — 10 citations into it
- Information Systems — 8 citations into it
- Management Information Systems — 5 citations into it
Whom Jun Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Benjamin Lowry
- Adamantios Diamantopoulos
- Qing Li
- David Gefen
- Tejaswini C. Herath
- Detmar W. Straub Jr.
- Ronald T. Cenfetelli
- Richard N. Landers
- Michel Walrave
- Stacie C. Petter
Papers from Jun Zhang's perspective
Ordered by how strongly the researchers Jun Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Index Construction with Formative Indicators: An Alternative to Scale Development
- Cyberbullying in Schools
- Cyberbullying: its nature and impact in secondary school pupils. (Journal of Child Psychology and Psychiatry and Allied Disciplines)
- Involvement in traditional and electronic bullying among adolescents. (Developmental Psychology)
- A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
- Linkages between Depressive Symptomatology and Internet Harassment among Young Regular Internet Users (Cyberpsychology, Behavior, and Social Networking)
- New bottle but old wine: A research of cyberbullying in schools (Computers in Human Behavior)
- Cyberbullying: An Exploratory Analysis of Factors Related to Offending and Victimization
- A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (Information systems research)
- Specifying Formative Constructs in Information Systems Research (MIS Q.)