Tzung‐I Tang

16 papers receiving 1.3k citations

Hit Papers

Determinants of user acceptance of Internet banking: an e...20032026201020182003250500750

Peers

Tzung‐I Tang
Comparison fields: 5 of 78
  • Information Systems and Management 1.1k
  • Sociology and Political Science 708
  • Organizational Behavior and Human Resource Management 457
  • Marketing 282
  • Strategy and Management 272
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James Yao United States
Bomil Suh South Korea
Kirk P. Arnett United States
Kallol Bagchi United States
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Ho Geun Lee South Korea
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Tzung‐I Tang relative to James Yao United States James Yao's profile →
Citations per field
00.5×1.6×
James Yao · 1×
Citations per year

Countries citing papers authored by Tzung‐I Tang

Since Specialization
Citations

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

Fields of papers citing papers by Tzung‐I Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzung‐I Tang. 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 Tzung‐I Tang. The network helps show where Tzung‐I Tang may publish in the future.

Co-authorship network of co-authors of Tzung‐I Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Tzung‐I Tang. A scholar is included among the top collaborators of Tzung‐I Tang 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 Tzung‐I Tang. Tzung‐I Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 110
2 4
3 51
4 1
5
Multiple-objective planning for a production and distribution model of the supply chain: Case of a bicycle manufacturer
12
6 47
7
Toward An Understanding of the Behavioral Intention to Use Mobile Banking Services
13
8 10
9 42
10
Determinants of user acceptance of Internet banking: an empirical studybreakdown →
995
11 2
12
AN INSTRUMENT FOR MEASURING CUSTOMER SATISFACTION TOWARD WEB SITES THAT MARKET DIGITAL PRODUCTS AND SERVICES
167
13 58
14 2
15
MODELING THE SUPPLY-DEMAND INTERACTION IN ELECTRONIC COMMERCE: A BI-LEVEL PROGRAMMING APPROACH
2
16
Keys to the Supply Demand Architecture in Electronic Commerce
2

About Tzung‐I Tang

Tzung‐I Tang is a scholar working on Information Systems and Management, Management Information Systems and Communication, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (5 papers) and Customer Service Quality and Loyalty (5 papers). The work is most often cited by research in Information Systems and Management (1.1k citations), Organizational Behavior and Human Resource Management (457 citations) and Marketing (282 citations). Tzung‐I Tang has collaborated with scholars based in Taiwan. Frequent co-authors include Yi‐Shun Wang, Hsin‐Hui Lin, Jeung-tai E. Tang, Daniel Y. Shee, Gwo‐Hshiung Tzeng, Mei‐Fang Chen and Yi-Wen Liao. Their work appears in journals such as International Journal of Information Management, Journal of the Association for Information Systems and International Journal of Service Industry Management.

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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