Daniel Y. Shee
Impact in
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- Technology Adoption and User Behaviour
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- Online Learning and Analytics
Papers in
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- Outsourcing and Supply Chain Management 5
- Supply Chain and Inventory Management 2
- Co-authors
- Yi‐Shun Wang (2 shared papers)Hsiu‐Yuan Wang (1 shared paper)Tzung‐I Tang (6 shared papers)Jeung-tai E. Tang (3 shared papers)Gwo‐Hshiung Tzeng (4 shared papers)Ya‐Ling Wu (1 shared paper)Yu-Min Wang (1 shared paper)Sheng-cheng Lin (1 shared paper)
- Journals
- International Journal of Information Management (1 paper)Computers & Education (1 paper)Journal of electronic commerce research (1 paper)Computers in Human Behavior (1 paper)Service Industries Journal (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Daniel Y. Shee
12 papers receiving 750 citations
Peers
Comparison fields: 5 of 93
- Information Systems and Management 376
- Computer Science Applications 148
- Communication 153
- Education 355
- Management Information Systems 95
Countries citing papers authored by Daniel Y. Shee
This map shows the geographic impact of Daniel Y. Shee'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 Daniel Y. Shee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Y. Shee more than expected).
Fields of papers citing papers by Daniel Y. Shee
This network shows the impact of papers produced by Daniel Y. Shee. 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 Daniel Y. Shee. The network helps show where Daniel Y. Shee may publish in the future.
Co-authors
The 8 scholars most cited alongside Daniel Y. Shee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 415 | |
| 2 | 2006 | 304 | |
| 3 | 2001 | 58 | |
| 4 | 2003 | 42 | |
| 5 | 2006 | 11 | |
| 6 | 2008 | 6 | |
| 7 | 2002 | 4 | |
| 8 | 2008 | 4 | |
| 9 | MODELING THE SUPPLY-DEMAND INTERACTION IN ELECTRONIC COMMERCE: A BI-LEVEL PROGRAMMING APPROACH | 2000 | 2 |
| 10 | Keys to the Supply Demand Architecture in Electronic Commerce | 2000 | 2 |
| 11 | 2002 | 2 | |
| 12 | 2001 | 2 |
About Daniel Y. Shee
Daniel Y. Shee is a scholar working on Management Information Systems, Strategy and Management, Information Systems and Management, Communication and Management Science and Operations Research, having authored 12 papers that have together received 852 indexed citations. Recurring topics across this work include Outsourcing and Supply Chain Management (5 papers), Technology Adoption and User Behaviour (4 papers), Multi-Criteria Decision Making (3 papers), Knowledge Management and Sharing (3 papers), Online and Blended Learning (2 papers), Customer Service Quality and Loyalty (2 papers), Supply Chain and Inventory Management (2 papers) and Collaboration in agile enterprises (2 papers). The work is most often cited by research in Information Systems and Management (376 citations), Computer Science Applications (148 citations), Communication (153 citations), Education (355 citations) and Management Information Systems (95 citations). Daniel Y. Shee has collaborated with scholars based in Taiwan. Frequent co-authors include Yi‐Shun Wang, Hsiu‐Yuan Wang, Tzung‐I Tang, Jeung-tai E. Tang, Gwo‐Hshiung Tzeng, Ya‐Ling Wu, Yu-Min Wang and Sheng-cheng Lin. Their work appears in journals such as International Journal of Information Management, Computers & Education, Journal of electronic commerce research, Computers in Human Behavior and Service Industries Journal.
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.