Bo Sophia Xiao
Sociology and Political Science · 2007–2014
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 37 citations into it; #7,726 of 22,756 by trust here, #5,542 by citations
- Information Systems and Management — 28 citations into it; #1,255 of 3,842 by trust here, #925 by citations
- Marketing — 26 citations into it; #2,066 of 6,289 by trust here, #2,352 by citations
- Organizational Behavior and Human Resource Management — 13 citations into it
- Information Systems — 10 citations into it
- Management Science and Operations Research — 10 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Bo Sophia Xiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred D. Davis
- Izak Benbasat
- V. Venkatesh
- Jonathan L. Herlocker
- Sung S. Kim
- Paolo Massa
- Kevin Lane Keller
- J. Konstan
- J. Breese
- Asim Ansari
Who trusts Bo Sophia Xiao overall
- Pearl Huan Z. Pu
- Bart P. Knijnenburg
- Li Chen
- Ella Glikson
- Martijn C. Willemsen
- Eric J. Johnson
- Wayne Xin Zhao
- Rong Hu
- Juho Hamari
- Aaron Baird
Papers from Bo Sophia Xiao's perspective
Ordered by how strongly the researchers Bo Sophia Xiao trusts endorse each paper. Same corpus, a different order for every researcher.
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Explaining collaborative filtering recommendations
- Fab: content-based, collaborative recommendation
- User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
- Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
- Understanding Information Systems Continuance: An Expectation-Confirmation Model (MIS Q.)
- Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)
- Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model (Information systems research)
- Evaluating collaborative filtering recommender systems