Kar Yan Tam

12.1k total citations · 6 hit papers
111 papers, 9.0k citations indexed

About

Kar Yan Tam is a scholar working on Sociology and Political Science, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Kar Yan Tam has authored 111 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Sociology and Political Science, 36 papers in Information Systems and Management and 21 papers in Management Science and Operations Research. Recurrent topics in Kar Yan Tam's work include Technology Adoption and User Behaviour (36 papers), Digital Marketing and Social Media (31 papers) and Digital Platforms and Economics (15 papers). Kar Yan Tam is often cited by papers focused on Technology Adoption and User Behaviour (36 papers), Digital Marketing and Social Media (31 papers) and Digital Platforms and Economics (15 papers). Kar Yan Tam collaborates with scholars based in Hong Kong, United States and South Korea. Kar Yan Tam's co-authors include Patrick Y.K. Chau, James Y.L. Thong, Se‐Joon Hong, Melody Y. Kiang, Paul Jen‐Hwa Hu, Shuk Ying Ho, Olivia R. Liu Sheng, Weiyin Hong, Susan A. Brown and Viswanath Venkatesh and has published in prestigious journals such as Management Science, Communications of the ACM and European Journal of Operational Research.

In The Last Decade

Kar Yan Tam

104 papers receiving 8.0k citations

Hit Papers

Examining the Technology Acceptance Model Using Physician... 1992 2026 2003 2014 1999 2006 1992 1997 2006 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kar Yan Tam Hong Kong 36 4.4k 3.4k 1.4k 1.3k 1.1k 111 9.0k
James Y.L. Thong Hong Kong 36 5.9k 1.3× 4.1k 1.2× 1.6k 1.2× 1.3k 1.1× 1.4k 1.2× 87 10.4k
Ting‐Peng Liang Taiwan 44 3.5k 0.8× 3.9k 1.2× 2.2k 1.6× 1.3k 1.1× 1.2k 1.1× 147 9.1k
Michael G. Morris United States 14 5.4k 1.2× 3.8k 1.1× 1.3k 0.9× 1.2k 0.9× 656 0.6× 21 8.7k
Hsiu‐Fen Lin Taiwan 34 4.1k 0.9× 3.1k 0.9× 1.4k 1.0× 2.1k 1.6× 1.7k 1.5× 50 8.6k
Xu Hong Kong 4 5.7k 1.3× 4.1k 1.2× 2.2k 1.6× 977 0.8× 769 0.7× 24 10.0k
Ali Tarhini Oman 46 3.1k 0.7× 2.5k 0.7× 1.1k 0.8× 1.0k 0.8× 1.1k 1.0× 112 7.5k
Ingoo Han South Korea 39 3.8k 0.9× 4.3k 1.3× 2.3k 1.7× 1.8k 1.4× 578 0.5× 112 9.7k
Young‐Gul Kim South Korea 27 4.3k 1.0× 3.7k 1.1× 1.5k 1.1× 1.8k 1.5× 1.3k 1.1× 81 9.2k
Hillol Bala United States 20 4.2k 1.0× 3.0k 0.9× 1.0k 0.8× 865 0.7× 967 0.8× 54 8.7k
Thompson S.H. Teo Singapore 58 5.8k 1.3× 4.7k 1.4× 1.9k 1.4× 2.2k 1.7× 2.4k 2.1× 198 13.1k

Countries citing papers authored by Kar Yan Tam

Since Specialization
Citations

This map shows the geographic impact of Kar Yan Tam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kar Yan Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kar Yan Tam more than expected).

Fields of papers citing papers by Kar Yan Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kar Yan Tam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kar Yan Tam. The network helps show where Kar Yan Tam may publish in the future.

Co-authorship network of co-authors of Kar Yan Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Kar Yan Tam. A scholar is included among the top collaborators of Kar Yan Tam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kar Yan Tam. Kar Yan Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Kip, Ahlke, et al.. (2024). Prevalence of mental disorders in adult populations from the Global South following exposure to natural hazards: a meta-analysis. Epidemiology and Psychiatric Sciences. 33. e68–e68. 9 indexed citations
4.
Ng, Ka Chung, et al.. (2023). Augmenting fake content detection in online platforms: A domain adaptive transfer learning via adversarial training approach. Production and Operations Management. 32(7). 2101–2122. 13 indexed citations
5.
So, Mike K. P., et al.. (2017). Is Socializing Loyalty Programs a Good Idea? – Empirical Evidence from a Large Quick Service Restaurant Chain. Journal of the Association for Information Systems. 1 indexed citations
6.
Feng, Yue & Kar Yan Tam. (2013). Gain and Loss in System Switching: A Behavioral Economics View to Understand the Joint Effects of System Usage Performance on User Satisfaction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 276. 2 indexed citations
7.
Chan, Frank K. Y., James Y.L. Thong, Viswanath Venkatesh, et al.. (2011). Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology. Journal of the Association for Information Systems. 54 indexed citations
8.
Hong, Se‐Joon, et al.. (2011). Understanding the Behavior of Mobile Data Services Consumers. SSRN Electronic Journal. 1 indexed citations
9.
Zhang, Xiaoquan, Chong Wang, & Kar Yan Tam. (2010). ROLE IDENTITY SALIENCE AND USER PARTICIPATION IN ONLINE COMMUNITIES. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 206. 4 indexed citations
10.
Tam, Kar Yan, et al.. (2010). An Affective Model for Unauthorized Sharing of Software. Journal of the Association for Information Systems. 35. 2 indexed citations
11.
Hong, Se‐Joon, et al.. (2008). How Old are You, Really?: Cognitive vs. Chronological Age in Technology Acceptance Decisions. Journal of the Association for Information Systems. 1 indexed citations
12.
See-To, Eric W.K., et al.. (2007). Analysis of electronic micro-payment market. Journal of electronic commerce research. 8(1). 63. 11 indexed citations
13.
Ho, Shuk Ying, Kar Yan Tam, & Michael Davern. (2007). Transaction-Driven Personalization: The Moderating Effects of Personality Traits. Journal of the Association for Information Systems. 9. 1 indexed citations
14.
Hu, Paul Jen‐Hwa, et al.. (2005). Examining e-Learning Effectiveness, Outcomes and Learning Style: A Longitudinal Field Experiment. Journal of the Association for Information Systems. 85. 5 indexed citations
15.
Lee, Inseong, Boreum Choi, Jinwoo Kim, Se‐Joon Hong, & Kar Yan Tam. (2004). Cross-Cultural Comparison for Cultural Aspects of Mobile Internet: Focusing on Korea and Hong Kong. Journal of the Association for Information Systems. 5 indexed citations
16.
Kwok, Sai Ho, Christopher C. Yang, & Kar Yan Tam. (2004). Intellectual Property Protection for Electronic Commerce Applications. Journal of electronic commerce research. 5(1). 1–13. 8 indexed citations
17.
Kim, Jinwoo, et al.. (2002). Exploring the Mobile Internet Businesses from a User Perspective: A Cross-National Study in Hong Kong, Japan and Korea. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3 indexed citations
18.
Kwok, Sai Ho, et al.. (2000). Digital Rights Management in Internet Open Trading Protocol (IOTP). Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2000. 179. 6 indexed citations
19.
Chau, Patrick Y.K., et al.. (1996). User interface design of interactive multimedia services (IMS) applications : an empirical evaluation. 2 indexed citations
20.
Holsapple, C. W., Kar Yan Tam, & Andrew B. Whinston. (1987). Expert system integration. Addison-Wesley Longman Publishing Co., Inc. eBooks. 286–304. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026