Tong Che
Impact in
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- Technology Adoption and User Behaviour
- Marketing top 10%
- Consumer Retail Behavior Studies
- Consumer Behavior in Brand Consumption and Identification
Papers in
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- Technology Adoption and User Behaviour 8
-
- Customer Service Quality and Loyalty 5
- Co-authors
- Fujun Lai (4 shared papers)Yao‐Yu Wang (2 shared papers)Zeyu Chris Peng (3 shared papers)Rui Yang (2 shared papers)Rui Yang (1 shared paper)Zhongsheng Hua (2 shared papers)Kai H. Lim (1 shared paper)Jian-Cai Wang (1 shared paper)
- Journals
- Information & Management (2 papers)Electronic Commerce Research and Applications (2 papers)Technological Forecasting and Social Change (2 papers)Service Industries Journal (1 paper)Information Systems Journal (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Tong Che
14 papers receiving 399 citations
Peers
Comparison fields: 5 of 69
- Information Systems and Management 99
- Marketing 104
- Organizational Behavior and Human Resource Management 74
- Communication 41
- Strategy and Management 84
Countries citing papers authored by Tong Che
This map shows the geographic impact of Tong Che'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 Tong Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Che more than expected).
Fields of papers citing papers by Tong Che
This network shows the impact of papers produced by Tong Che. 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 Tong Che. The network helps show where Tong Che may publish in the future.
Co-authors
The 20 scholars most cited alongside Tong Che, 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 | 2015 | 66 | |
| 2 | 2018 | 60 | |
| 3 | 2020 | 44 | |
| 4 | 2023 | 37 | |
| 5 | 2023 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 18 | |
| 11 | Investigating the Non-Linear Relationships in the Expectancy Theory: The Case of Crowdsourcing Marketplace | 2012 | 16 |
| 12 | 2022 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2024 | 8 |
About Tong Che
Tong Che is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management, Marketing, Strategy and Management and Management Information Systems, having authored 14 papers that have together received 405 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Digital Marketing and Social Media (7 papers), Customer Service Quality and Loyalty (5 papers), Knowledge Management and Sharing (2 papers), Sustainable Supply Chain Management (2 papers), Consumer Retail Behavior Studies (2 papers), Innovation and Knowledge Management (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). The work is most often cited by research in Information Systems and Management (99 citations), Marketing (104 citations), Organizational Behavior and Human Resource Management (74 citations), Communication (41 citations) and Strategy and Management (84 citations). Tong Che has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fujun Lai, Yao‐Yu Wang, Zeyu Chris Peng, Rui Yang, Rui Yang, Zhongsheng Hua, Kai H. Lim, Jian-Cai Wang, Miao Hu and Qiang Zhou. Their work appears in journals such as Information & Management, Electronic Commerce Research and Applications, Technological Forecasting and Social Change, Service Industries Journal and Information Systems 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.