Kuo-Kuang Chu
Information Systems and Management · 2014
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems and Management — 36 citations into it
- Sociology and Political Science — 29 citations into it
- Organizational Behavior and Human Resource Management — 26 citations into it
- Communication — 8 citations into it
- Strategy and Management — 5 citations into it
Whom Kuo-Kuang Chu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A. Pavlou
- William H. DeLone
- Hsiu-Fen Lin
- Thompson S. H. Teo
- Arun Rai
- Yi-Shun Wang
- Sirkka L. Jarvenpaa
- Huigang Liang
- Ephraim R. McLean
- Chao-Min Chiu
Papers from Kuo-Kuang Chu's perspective
Ordered by how strongly the researchers Kuo-Kuang Chu trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding Information Systems Continuance: An Expectation-Confirmation Model (MIS Q.)
- The DeLone and McLean Model of Information Systems Success: A Ten-Year Update (Journal of Management Information Systems)
- Consumer trust in an Internet store (Inf. Technol. Manag.)
- Evidence of the Effect of Trust Building Technology in Electronic markets: Price Premiums and Buyer Behavior (MIS Q.)
- The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach (Information systems research)
- Individual Trust in Online Firms: Scale Development and Initial Test (Journal of Management Information Systems)
- Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model (International Journal of Electronic Commerce)
- Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective (MIS Q.)
- Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior (MIS Q.)
- Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis (Information systems research)