Tom E. Yoon

864 citations
16 papers · 677 · h-index 9

Impact in

Papers in

Tom E. Yoon

16 papers receiving 625 citations

Peers

Tom E. Yoon
Comparison fields: 5 of 69
  • Management Information Systems 367
  • Information Systems and Management 229
  • Strategy and Management 264
  • Marketing 81
  • Business and International Management 14
Replace Yi‐Ming Tai with:
Yi‐Ming Tai Taiwan
Jiwat Ram China
Sung Yul Ryoo South Korea
Edward Hartono United States
Dazhong Wu United States
Sylvestre Uwizeyemungu Canada
Amir Ashrafi Iran
Ellen Christiaanse Netherlands
Robert C. Beatty United States
Yvonne van Everdingen Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Tom E. Yoon

Since Specialization
Citations

This map shows the geographic impact of Tom E. Yoon'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 Tom E. Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom E. Yoon more than expected).

Fields of papers citing papers by Tom E. Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom E. Yoon. 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 Tom E. Yoon. The network helps show where Tom E. Yoon may publish in the future.

Co-authors

The 9 scholars most cited alongside Tom E. Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom E. Yoon Line = papers co-authored together Tom E. Yoon links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2008228
2 2013145
3 2013128
4
Investigating the Antecedents and Benefits of SOA Implementation: A Multi-Case Study Approach
200744
5 201437
6 201627
7
An empirical investigation of factors affecting organizational adoption of virtual worlds
200918
8 201714
9 202011
10 20137
11 20187
12 20213
13 20173
14 20113
15
User Acceptance of Virtual Worlds: Towards an Integrative Framework
20091
16 20161

About Tom E. Yoon

Tom E. Yoon is a scholar working on Information Systems and Management, Management Information Systems, Strategy and Management, Sociology and Political Science and Marketing, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (5 papers), Information Technology Governance and Strategy (5 papers), Big Data and Business Intelligence (4 papers), Sustainable Supply Chain Management (3 papers), Outsourcing and Supply Chain Management (2 papers), Service-Oriented Architecture and Web Services (2 papers) and ERP Systems Implementation and Impact (2 papers). The work is most often cited by research in Management Information Systems (367 citations), Information Systems and Management (229 citations), Strategy and Management (264 citations), Marketing (81 citations) and Business and International Management (14 citations). Tom E. Yoon has collaborated with scholars based in United States, Latvia and South Korea. Frequent co-authors include Joey F. George, Robert E. Hooker, Larry C. Giunipero, Susan Brudvig, Christopher Paul Furner, Robert Zinko, James L. “Jamey” Worrell, Carmen Lewis and Molly McLure Wasko. Their work appears in journals such as Computers in Human Behavior, Journal of the Association for Information Systems, Journal of Supply Chain Management, Journal of theoretical and applied electronic commerce research and International Journal of Business Information Systems.

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.

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