Hung‐Pin Shih

1.8k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Hung‐Pin Shih is a scholar working on Information Systems and Management, Sociology and Political Science and Communication. According to data from OpenAlex, Hung‐Pin Shih has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems and Management, 16 papers in Sociology and Political Science and 11 papers in Communication. Recurrent topics in Hung‐Pin Shih's work include Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (13 papers) and Knowledge Management and Sharing (10 papers). Hung‐Pin Shih is often cited by papers focused on Technology Adoption and User Behaviour (17 papers), Digital Marketing and Social Media (13 papers) and Knowledge Management and Sharing (10 papers). Hung‐Pin Shih collaborates with scholars based in Taiwan, Hong Kong and China. Hung‐Pin Shih's co-authors include Kee‐hung Lai, T.C.E. Cheng, Echo Huang, Said S. Al‐Gahtani, Xitong Guo, Jan‐Jan Wu and Yan‐Ying Lu and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Information & Management.

In The Last Decade

Hung‐Pin Shih

22 papers receiving 1.2k citations

Hit Papers

An empirical study on predicting user acceptance of e-sho... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hung‐Pin Shih Taiwan 12 893 784 349 302 189 22 1.3k
Premkumar India 4 905 1.0× 714 0.9× 188 0.5× 337 1.1× 229 1.2× 8 1.4k
Songpol Kulviwat United States 12 862 1.0× 991 1.3× 452 1.3× 263 0.9× 198 1.0× 15 1.5k
Margaret Meiling Luo Taiwan 14 734 0.8× 960 1.2× 459 1.3× 441 1.5× 156 0.8× 30 1.4k
Chun‐Hua Hsiao Taiwan 14 704 0.8× 648 0.8× 283 0.8× 183 0.6× 99 0.5× 29 1.2k
Kanghyun Yoon United States 3 1.0k 1.2× 850 1.1× 380 1.1× 622 2.1× 224 1.2× 3 1.5k
Andrea Everard United States 12 660 0.7× 892 1.1× 336 1.0× 280 0.9× 161 0.9× 32 1.4k
Vicki McKinney United States 8 1.1k 1.3× 894 1.1× 364 1.0× 622 2.1× 257 1.4× 16 1.7k
Youlong Zhuang United States 8 917 1.0× 648 0.8× 214 0.6× 282 0.9× 178 0.9× 13 1.3k
Mingli Zhang China 10 446 0.5× 849 1.1× 458 1.3× 217 0.7× 143 0.8× 16 1.3k
Félix A. Martín‐Velicia Spain 18 487 0.5× 574 0.7× 299 0.9× 238 0.8× 84 0.4× 42 1.1k

Countries citing papers authored by Hung‐Pin Shih

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Pin Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung‐Pin Shih. 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 Hung‐Pin Shih. The network helps show where Hung‐Pin Shih may publish in the future.

Co-authorship network of co-authors of Hung‐Pin Shih

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

All Works

20 of 20 papers shown
1.
Shih, Hung‐Pin, Kee‐hung Lai, & T.C.E. Cheng. (2023). Complied by Belief Consistency: The Cognitive-Information Lens of User-Generated Persuasion. Journal of theoretical and applied electronic commerce research. 18(1). 372–393. 4 indexed citations
2.
Shih, Hung‐Pin, et al.. (2023). Beyond the trade-offs on Facebook: the underlying mechanisms of privacy choices. Information Systems and e-Business Management. 21(2). 353–387. 7 indexed citations
3.
Shih, Hung‐Pin, Kee‐hung Lai, Xitong Guo, & T.C.E. Cheng. (2021). Believe It or Not. Journal of Global Information Management. 29(6). 1–20. 6 indexed citations
4.
Shih, Hung‐Pin, et al.. (2021). How do search-based and experience-based information matter in the evaluation of user satisfaction? The case of TripAdvisor. Aslib Journal of Information Management. 73(5). 659–678. 12 indexed citations
5.
Shih, Hung‐Pin, et al.. (2020). Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance. Information Systems Frontiers. 23(3). 649–661. 4 indexed citations
6.
Shih, Hung‐Pin, Kee‐hung Lai, & T.C.E. Cheng. (2017). Constraint-based and dedication-based mechanisms for encouraging online self-disclosure: Is personalization the only thing that matters?. European Journal of Information Systems. 26(4). 432–450. 23 indexed citations
7.
Shih, Hung‐Pin, Xitong Guo, Kee‐hung Lai, & T.C.E. Cheng. (2016). Taking promotion and prevention mechanisms matter for information systems security policy in Chinese SMEs. 110–115. 2 indexed citations
8.
Shih, Hung‐Pin, Kee‐hung Lai, & T.C.E. Cheng. (2015). A Dual-Process Model to Assess User Attitudes and the Likelihood of Electronic Word-Of-Mouth Adoption. Journal of the Association for Information Systems. 226. 4 indexed citations
9.
Shih, Hung‐Pin & Echo Huang. (2015). Influence Mechanisms That Leverage Participation Quality in a Professional Virtual Community. Journal of Global Information Management. 23(4). 77–100. 1 indexed citations
10.
Shih, Hung‐Pin, Kee‐hung Lai, & T.C.E. Cheng. (2013). Informational and Relational Influences on Electronic Word of Mouth: An Empirical Study of an Online Consumer Discussion Forum. International Journal of Electronic Commerce. 17(4). 137–166. 108 indexed citations
11.
Shih, Hung‐Pin, Kee‐hung Lai, & T.C.E. Cheng. (2013). Examining structural, perceptual, and attitudinal influences on the quality of information sharing in collaborative technology use. Information Systems Frontiers. 17(2). 455–470. 18 indexed citations
12.
Shih, Hung‐Pin. (2012). Cognitive Lock‐In Effects on Consumer Purchase Intentions in the Context of B2C Web Sites. Psychology and Marketing. 29(10). 738–751. 21 indexed citations
13.
Shih, Hung‐Pin & Echo Huang. (2012). Influences of Web interactivity and social identity and bonds on the quality of online discussion in a virtual community. Information Systems Frontiers. 16(4). 627–641. 39 indexed citations
14.
Shih, Hung‐Pin, et al.. (2011). Driving Goal-Directed and Experiential Online Shopping. Journal of Organizational Computing and Electronic Commerce. 21(2). 136–157. 9 indexed citations
16.
Al‐Gahtani, Said S. & Hung‐Pin Shih. (2009). The Influence of Organizational Communication Openness on the Post-Adoption of Computers. Journal of Global Information Management. 17(3). 20–41. 10 indexed citations
17.
Shih, Hung‐Pin. (2006). Continued use of a Chinese online portal: an empirical study. Behaviour and Information Technology. 27(3). 201–209. 37 indexed citations
18.
Shih, Hung‐Pin. (2006). Using a cognition-motivation-control view to assess the adoption intention for Web-based learning. Computers & Education. 50(1). 327–337. 65 indexed citations
19.
Shih, Hung‐Pin. (2005). Technology-push and communication-pull forces driving message-based coordination performance. The Journal of Strategic Information Systems. 15(2). 105–123. 26 indexed citations
20.
Shih, Hung‐Pin. (2004). Assessing the effects of self-efficacy and competence on individual satisfaction with computer use: an IT student perspective. Computers in Human Behavior. 22(6). 1012–1026. 63 indexed citations

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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