Shuwei Zhang
Sociology and Political Science · 2016
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 17 citations into it
- Information Systems and Management — 13 citations into it
- Social Psychology — 10 citations into it
- Organizational Behavior and Human Resource Management — 7 citations into it
Whom Shuwei Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Maier
- Monideepa Tarafdar
- T. S. Ragu-Nathan
- Pamela Karr Wisniewski
- Ramakrishna Ayyagari
- Thara Ravindran
- Yu-Chen Chen
- Anol Bhattacherjee
- Sven Laumer
- Ying Lu
Who trusts Shuwei Zhang overall
Papers from Shuwei Zhang's perspective
Ordered by how strongly the researchers Shuwei Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Technostress: Technological Antecedents and Implications (MIS Q.)
- Understanding Information Systems Continuance: An Expectation-Confirmation Model (MIS Q.)
- The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation (Information systems research)
- Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
- The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use (Information Systems Journal)
- Giving too much social support: social overload on social networking sites (European Journal of Information Systems)
- Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
- The magical number seven plus or minus two: some limits on our capacity for processing information.
- Quitting the use of a habituated hedonic information system: a theoretical model and empirical examination of Facebook users (European Journal of Information Systems)
- Effects of Quality and Quantity of Information on Decision Effectiveness