Daniel Q. Chen

1.6k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Daniel Q. Chen is a scholar working on Strategy and Management, Management Information Systems and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Daniel Q. Chen has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Strategy and Management, 7 papers in Management Information Systems and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Daniel Q. Chen's work include Big Data and Business Intelligence (4 papers), Innovation and Knowledge Management (4 papers) and Information Technology Governance and Strategy (3 papers). Daniel Q. Chen is often cited by papers focused on Big Data and Business Intelligence (4 papers), Innovation and Knowledge Management (4 papers) and Information Technology Governance and Strategy (3 papers). Daniel Q. Chen collaborates with scholars based in United States, China and United Kingdom. Daniel Q. Chen's co-authors include David Seth Preston, Morgan Swink, Weidong Xia, Laura Meade, Dale L. Goodhue, Yi Liu, Wei Gao, Justin Cochran, Marie‐Claude Boudreau and Eleanor T. Loiacono and has published in prestigious journals such as Journal of Business Research, Journal of Operations Management and Industrial Marketing Management.

In The Last Decade

Daniel Q. Chen

14 papers receiving 1.1k citations

Hit Papers

How the Use of Big Data Analytics Affects Value Creation ... 2015 2026 2018 2022 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management
    2015 593 citations Daniel Q. Chen, David Seth Preston et al. Journal of Management Information Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Q. Chen United States 10 820 641 202 145 137 14 1.2k
Maria Boura Greece 6 762 0.9× 574 0.9× 290 1.4× 158 1.1× 154 1.1× 8 1.2k
David Seth Preston United States 12 1.2k 1.5× 832 1.3× 234 1.2× 210 1.4× 143 1.0× 30 1.8k
Vesna Bosilj Vukšić Croatia 17 720 0.9× 460 0.7× 112 0.6× 112 0.8× 83 0.6× 85 1.4k
R. Srinivasan India 14 729 0.9× 843 1.3× 123 0.6× 68 0.5× 148 1.1× 36 1.3k
Pedro Ruivo Portugal 17 937 1.1× 481 0.8× 264 1.3× 317 2.2× 132 1.0× 43 1.3k
Mojca Indihar Štemberger Slovenia 20 873 1.1× 489 0.8× 112 0.6× 130 0.9× 60 0.4× 61 1.4k
Charles L. Munson United States 15 697 0.8× 625 1.0× 187 0.9× 66 0.5× 216 1.6× 29 1.1k
Jeff K. Stratman United States 8 827 1.0× 472 0.7× 127 0.6× 265 1.8× 133 1.0× 11 1.3k
Xinlin Tang United States 16 469 0.6× 633 1.0× 123 0.6× 265 1.8× 164 1.2× 43 1.2k
Jurij Jaklič Slovenia 16 856 1.0× 493 0.8× 218 1.1× 241 1.7× 76 0.6× 50 1.1k

Countries citing papers authored by Daniel Q. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Q. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Q. Chen. 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 Daniel Q. Chen. The network helps show where Daniel Q. Chen may publish in the future.

Co-authorship network of co-authors of Daniel Q. Chen

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

All Works

14 of 14 papers shown
1.
Liu, Yi, Hengyuan Zhang, & Daniel Q. Chen. (2023). On the economic implications of international travel restrictions: Evidence from Chinese MNEs’ firm value. Journal of Business Research. 170. 114354–114354. 2 indexed citations
2.
Chen, Daniel Q., David Seth Preston, & Morgan Swink. (2021). How Big Data Analytics Affects Supply Chain Decision-Making: An Empirical Analysis. Journal of the Association for Information Systems. 22(5). 1224–1244. 36 indexed citations
3.
Liu, Yi, Daniel Q. Chen, & Wei Gao. (2020). How does customer orientation (in)congruence affect B2B electronic commerce platform firms' performance?. Industrial Marketing Management. 87. 18–30. 48 indexed citations
4.
Yu, Xiaoyu, et al.. (2018). Correction to: Entrepreneurial bricolage and online store performance in emerging economies. Electronic Markets. 32(1). 399–399. 2 indexed citations
5.
Yu, Xiaoyu, et al.. (2018). Entrepreneurial bricolage and online store performance in emerging economies. Electronic Markets. 29(2). 167–185. 32 indexed citations
6.
Preston, David Seth, Daniel Q. Chen, Morgan Swink, & Laura Meade. (2016). Generating Supplier Benefits through Buyer‐Enabled Knowledge Enrichment: A Social Capital Perspective. Decision Sciences. 48(2). 248–287. 79 indexed citations
7.
Chen, Daniel Q., David Seth Preston, & Monideepa Tarafdar. (2015). From Innovative I.S. Strategy to Customer Value. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 46(2). 8–29. 6 indexed citations
8.
Chen, Daniel Q., David Seth Preston, & Morgan Swink. (2015). How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management. Journal of Management Information Systems. 32(4). 4–39. 593 indexed citations breakdown →
9.
Liu, Ling, Daniel Q. Chen, Indranil Bose, Nan Hu, & Garry D. Bruton. (2013). Core versus peripheral information technology employees and their impact on firm performance. Decision Support Systems. 55(1). 186–193. 9 indexed citations
10.
Chen, Daniel Q., David Seth Preston, & Weidong Xia. (2013). Enhancing hospital supply chain performance: A relational view and empirical test. Journal of Operations Management. 31(6). 391–408. 237 indexed citations
11.
Chen, Daniel Q., David Seth Preston, & Weidong Xia. (2010). Antecedents and Effects of CIO Supply-Side and Demand-Side Leadership: A Staged Maturity Model. Journal of Management Information Systems. 27(1). 231–272. 90 indexed citations
12.
Goodhue, Dale L., et al.. (2009). Addressing business agility challenges with enterprise systems. Journal of the Association for Information Systems. 8(2). 5. 53 indexed citations
13.
Chen, Daniel Q.. (2003). UNDERSTANDING ORGANIZATIONAL IMPACT OF COMPLEX IT INFRASTRUCTURE THROUGH AGILITY: THE CASE OF ENTERPRISE RESOURCES PLANNING SYSTEMS. Journal of the Association for Information Systems. 431. 2 indexed citations
14.
Loiacono, Eleanor T., Daniel Q. Chen, & Dale L. Goodhue. (2002). WEBQUAL TM REVISITED: PREDICTING THE INTENT TO REUSE A WEB SITE. 24 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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