H. Sung
Information Systems and Management · with Jeon · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems and Management — 37 citations into it; #2,851 of 3,842 by trust here, #3,555 by citations
- Sociology and Political Science — 28 citations into it; #16,490 of 22,756 by trust here, #20,051 by citations
- Organizational Behavior and Human Resource Management — 19 citations into it
- Marketing — 8 citations into it; #4,635 of 6,289 by trust here, #5,863 by citations
- Management Science and Operations Research — 6 citations into it
Whom H. Sung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Pavlou
- V. Venkatesh
- Hung-Pin Shih
- Stuart J. Barnes
- James Y. L. Thong
- Tomas Escobar-Rodriguez
Who trusts H. Sung overall
Papers from H. Sung's perspective
Ordered by how strongly the researchers H. Sung trusts endorse each paper. Same corpus, a different order for every researcher.
- Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
- User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
- Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (International Journal of Electronic Commerce)
- User Acceptance of Hedonic Information Systems (MIS Q.)
- The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (Journal of Management Information Systems)
- The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance (Int. J. Hum. Comput. Stud.)
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- Key dimensions of business-to-consumer web sites (Information Manager (The))
- Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (MIS Q.)
- Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing (Journal of Management Information Systems)