Carlos Tam

Information Systems and Management · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Information Systems and Management — 67 citations into it; #2,225 of 3,842 by trust here, #2,689 by citations
• Sociology and Political Science — 65 citations into it; #13,321 of 22,756 by trust here, #13,822 by citations
• Organizational Behavior and Human Resource Management — 36 citations into it; #5,294 of 8,741 by trust here, #6,602 by citations
• Communication — 23 citations into it
• Marketing — 13 citations into it
• Management Information Systems — 9 citations into it
• Applied Psychology — 7 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Carlos Tam trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. V. Venkatesh
2. Anol Bhattacherjee
3. James Y. L. Thong
4. Ming-Chi Lee
5. Philip M. Podsakoff
6. Wynne W. Chin
7. Jörg Henseler
8. Chao-Min Chiu
9. David Gefen
10. Marc Prensky

Who trusts Carlos Tam overall

1. Yuyang Zhao
2. Fernando Bacao
3. Samar Rahi
4. Manish Talwar
5. Shalini Talwar

Papers from Carlos Tam's perspective

Ordered by how strongly the researchers Carlos Tam trusts endorse each paper. Same corpus, a different order for every researcher.

1. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
2. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
3. Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior (MIS Q.)
4. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
5. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies (Management Sciences)
6. Model of Adoption and Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle (MIS Q.)
7. The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance (Int. J. Hum. Comput. Stud.)
8. 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)
9. Understanding Information Systems Continuance: An Expectation-Confirmation Model (MIS Q.)
10. An empirical analysis of the antecedents of electronic commerce service continuance (Decision Support Systems)

Their papers

• Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective (2016) — 415 citations
• Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model (2018) — 522 citations
• Why do people share their travel experiences on social media? (2020) — 331 citations