Kwan-Sik Na

513 citations
11 papers · 364 indexed · h-index 6
Topics
Customer Service Quality and Loyalty (4 papers)Outsourcing and Supply Chain Management (3 papers)Technology Adoption and User Behaviour (2 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Kwan-Sik Na

10 papers receiving 334 citations

Peers

Kwan-Sik Na
Comparison fields: 5 of 58
  • Management Information Systems 135
  • Information Systems 123
  • Information Systems and Management 121
  • Sociology and Political Science 79
  • Strategy and Management 73
Replace Dien D. Phan with:
Dien D. Phan United States
Mithu Bhattacharya United States
Ricardo Martins Portugal
Srinarayan Sharma United States
Rajesh Mirani United States
Ebrahim Mansour Jordan
Ellen M. Hufnagel United States
Zhizhong Jiang United Kingdom
Sebastian Schlauderer Germany
André Luiz Zambalde Brazil
Kwan-Sik Na relative to Dien D. Phan United States Dien D. Phan's profile →
Citations per field
00.5×
Dien D. Phan · 1×
Citations per year

Countries citing papers authored by Kwan-Sik Na

Since Specialization
Citations

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

Fields of papers citing papers by Kwan-Sik Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwan-Sik Na. 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 Kwan-Sik Na. The network helps show where Kwan-Sik Na may publish in the future.

Co-authorship network of co-authors of Kwan-Sik Na

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 4
5 6
6 7
7 124
8 3
9 100
10 81
11 34

About Kwan-Sik Na

Kwan-Sik Na is a scholar working on Management Information Systems, Organizational Behavior and Human Resource Management and Marketing, having authored 11 papers that have together received 364 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (4 papers), Outsourcing and Supply Chain Management (3 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Information Systems and Management (121 citations), Management Information Systems (135 citations) and Software (21 citations). Kwan-Sik Na has collaborated with scholars based in South Korea and United States. Frequent co-authors include James T. Simpson, Kiyoon Kim, Xiaotong Li, Edward Hartono, Clyde W. Holsapple, Hanna Kim, Joonsoo Jeong and Jin‐Ho Lim. Their work appears in journals such as International Journal of Information Management, Decision Support Systems and Journal of Systems and Software.

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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