Pei‐Fang Hsu

1.3k total citations · 1 hit paper
19 papers, 994 citations indexed

About

Pei‐Fang Hsu is a scholar working on Information Systems and Management, Strategy and Management and Marketing. According to data from OpenAlex, Pei‐Fang Hsu has authored 19 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems and Management, 8 papers in Strategy and Management and 7 papers in Marketing. Recurrent topics in Pei‐Fang Hsu's work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (5 papers) and ERP Systems Implementation and Impact (5 papers). Pei‐Fang Hsu is often cited by papers focused on Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (5 papers) and ERP Systems Implementation and Impact (5 papers). Pei‐Fang Hsu collaborates with scholars based in Taiwan, United States and United Kingdom. Pei‐Fang Hsu's co-authors include Soumya Ray, Debora E. Dunkle, Kenneth L. Kraemer, HsiuJu Rebecca Yen, Paul Jen‐Hwa Hu, Chih‐Ping Wei, Lara Khansa, Chen‐Ya Wang, Rohit Nishant and Thompson S.H. Teo and has published in prestigious journals such as Journal of Business Research, Information & Management and International Journal of Information Management.

In The Last Decade

Pei‐Fang Hsu

19 papers receiving 944 citations

Hit Papers

Examining cloud computing adoption intention, pricing mec... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Fang Hsu Taiwan 13 472 329 289 218 176 19 994
Hemlata Gangwar India 9 637 1.3× 337 1.0× 194 0.7× 333 1.5× 183 1.0× 13 1.1k
Joseph K. Nwankpa United States 15 237 0.5× 263 0.8× 306 1.1× 144 0.7× 261 1.5× 29 1.1k
Hema Date India 12 830 1.8× 344 1.0× 218 0.8× 385 1.8× 285 1.6× 26 1.4k
Gary Garrison United States 11 458 1.0× 225 0.7× 172 0.6× 280 1.3× 315 1.8× 13 1.1k
Soon-Goo Hong South Korea 15 211 0.4× 504 1.5× 209 0.7× 182 0.8× 122 0.7× 72 1.0k
Haliyana Khalid Malaysia 13 306 0.6× 277 0.8× 166 0.6× 181 0.8× 273 1.6× 45 1.0k
Antônio Carlos Gastaud Maçada Brazil 20 310 0.7× 555 1.7× 385 1.3× 173 0.8× 166 0.9× 119 1.4k
John Effah Ghana 14 189 0.4× 197 0.6× 243 0.8× 160 0.7× 155 0.9× 51 888
Zoonky Lee South Korea 18 308 0.7× 568 1.7× 230 0.8× 103 0.5× 238 1.4× 43 1.1k
Ananth Srinivasan New Zealand 12 308 0.7× 260 0.8× 124 0.4× 186 0.9× 232 1.3× 30 826

Countries citing papers authored by Pei‐Fang Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Fang Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Fang Hsu. 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 Pei‐Fang Hsu. The network helps show where Pei‐Fang Hsu may publish in the future.

Co-authorship network of co-authors of Pei‐Fang Hsu

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

All Works

19 of 19 papers shown
1.
Hsu, Pei‐Fang, HsiuJu Rebecca Yen, & Paul Jen‐Hwa Hu. (2024). Examining Different Uses of it for Enhancing Service Innovation Performance. Journal of Organizational Computing and Electronic Commerce. 34(3). 213–236. 1 indexed citations
2.
Hsu, Pei‐Fang, et al.. (2024). Converting free users to paying customers in freemium services: a SaaS success model. Information Systems and e-Business Management. 23(2). 355–390. 2 indexed citations
3.
Hsu, Pei‐Fang, et al.. (2023). Examining the cultural differences in disseminating green supply chain in global subsidiaries. Journal of Business Research. 164. 113982–113982. 9 indexed citations
4.
Hsu, Pei‐Fang, et al.. (2023). Chatbot commerce—How contextual factors affect Chatbot effectiveness. Electronic Markets. 33(1). 25 indexed citations
5.
Hsu, Pei‐Fang, et al.. (2023). Creating and validating predictive personas for target marketing. International Journal of Human-Computer Studies. 181. 103147–103147. 4 indexed citations
6.
Nishant, Rohit, et al.. (2023). Role of substantive and rhetorical signals in the market reaction to announcements on AI adoption: a configurational study. European Journal of Information Systems. 33(5). 802–844. 16 indexed citations
7.
Hsu, Pei‐Fang, et al.. (2022). More Personalized, More Useful? Reinvestigating Recommendation Mechanisms in E-Commerce. International Journal of Electronic Commerce. 26(1). 90–122. 21 indexed citations
8.
Hsu, Pei‐Fang, et al.. (2021). Value co-creation and co-destruction in self-service technology: A customer’s perspective. Electronic Commerce Research and Applications. 46. 101029–101029. 48 indexed citations
9.
Hsu, Pei‐Fang. (2020). One Size Fits All? How Does Firm Heterogeneity Affect ERP Adaptation and Firm Performance?. Open Journal of Business and Management. 8(6). 2597–2622. 2 indexed citations
10.
Hsu, Pei‐Fang. (2020). A Deeper Look at Cloud Adoption Trajectory and Dilemma. Information Systems Frontiers. 24(1). 177–194. 12 indexed citations
11.
Ray, Soumya, et al.. (2020). Smartphone Addiction and Conflict: An Incentive-Sensitisation Perspective of Addiction for Information Systems. European Journal of Information Systems. 30(4). 403–424. 23 indexed citations
12.
Hu, Paul Jen‐Hwa, et al.. (2016). Examining Firms’ Green Information Technology Practices: A Hierarchical View of Key Drivers and Their Effects. Journal of Management Information Systems. 33(4). 1149–1179. 45 indexed citations
13.
Hsu, Pei‐Fang, et al.. (2015). Assessing ERP post-implementation success at the individual level: Revisiting the role of service quality. Information & Management. 52(8). 925–942. 129 indexed citations
14.
Hsu, Pei‐Fang, et al.. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management. 34(4). 474–488. 325 indexed citations breakdown →
15.
Hsu, Pei‐Fang, et al.. (2014). Green Purchasing by MNC Subsidiaries: The Role of Local Tailoring in the Presence of Institutional Duality. Decision Sciences. 45(4). 647–682. 31 indexed citations
16.
Hsu, Pei‐Fang. (2013). Integrating ERP and e-business: Resource complementarity in business value creation. Decision Support Systems. 56. 334–347. 42 indexed citations
17.
Hsu, Pei‐Fang. (2013). Commodity or competitive advantage? Analysis of the ERP value paradox. Electronic Commerce Research and Applications. 12(6). 412–424. 19 indexed citations
18.
Hsu, Pei‐Fang. (2009). ERP and eBusiness Integration in the Extended Enterprise. Journal of the Association for Information Systems. 391. 2 indexed citations
19.
Hsu, Pei‐Fang, Kenneth L. Kraemer, & Debora E. Dunkle. (2006). Determinants of E-Business Use in U.S. Firms. International Journal of Electronic Commerce. 10(4). 9–45. 238 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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