LeeAnn Kung

2.4k total citations · 2 hit papers
18 papers, 1.5k citations indexed

About

LeeAnn Kung is a scholar working on Management Information Systems, Strategy and Management and Information Systems and Management. According to data from OpenAlex, LeeAnn Kung has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 6 papers in Strategy and Management and 6 papers in Information Systems and Management. Recurrent topics in LeeAnn Kung's work include Big Data and Business Intelligence (8 papers), Innovation and Knowledge Management (5 papers) and Technology Adoption and User Behaviour (4 papers). LeeAnn Kung is often cited by papers focused on Big Data and Business Intelligence (8 papers), Innovation and Knowledge Management (5 papers) and Technology Adoption and User Behaviour (4 papers). LeeAnn Kung collaborates with scholars based in United States, United Kingdom and New Zealand. LeeAnn Kung's co-authors include Yichuan Wang, Terry Anthony Byrd, Casey G. Cegielski, William Yu Chung Wang, Hsiang‐Jui Kung, Suraksha Gupta, Sena Ozdemir, Yi‐Chen Lin, L. Allison Jones‐Farmer and Benjamin T. Hazen and has published in prestigious journals such as Technological Forecasting and Social Change, Information & Management and Industrial Marketing Management.

In The Last Decade

LeeAnn Kung

16 papers receiving 1.4k citations

Hit Papers

Big data analytics: Understanding its capabilities and po... 2016 2026 2019 2022 2016 2017 250 500 750

Peers

LeeAnn Kung
T. S. Raghu United States
Shah Jahan Miah Australia
Indranil R. Bardhan United States
Zhiqiang Zheng United States
Ray J. Paul United Kingdom
Marinos Themistocleous United Kingdom
Benjamin B. M. Shao United States
T. S. Raghu United States
LeeAnn Kung
Citations per year, relative to LeeAnn Kung LeeAnn Kung (= 1×) peers T. S. Raghu

Countries citing papers authored by LeeAnn Kung

Since Specialization
Citations

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

Fields of papers citing papers by LeeAnn Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by LeeAnn Kung. 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 LeeAnn Kung. The network helps show where LeeAnn Kung may publish in the future.

Co-authorship network of co-authors of LeeAnn Kung

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

All Works

18 of 18 papers shown
1.
Wang, Yichuan, LeeAnn Kung, Suraksha Gupta, & Sena Ozdemir. (2019). Leveraging Big Data Analytics to Improve Quality of Care in Healthcare Organizations: A Configurational Perspective. British Journal of Management. 30(2). 362–388. 109 indexed citations
2.
Kung, LeeAnn & Hsiang‐Jui Kung. (2019). Organization Improvisational Capability. ACM SIGMIS Database the DATABASE for Advances in Information Systems. 50(2). 94–110. 4 indexed citations
3.
Kung, Hsiang‐Jui & LeeAnn Kung. (2017). Flipped Learning Activities for an Introduction to Java Course. Issues in Information Systems. 18(3). 29. 2 indexed citations
4.
Kung, LeeAnn & Hsiang‐Jui Kung. (2017). Pursuing a Vendor-Endorsed ERP Award for Better Job Prospect: Students' Perceptions.. Information Systems Education Journal. 15(3). 29–41. 1 indexed citations
5.
Wang, Yichuan, LeeAnn Kung, William Yu Chung Wang, & Casey G. Cegielski. (2017). An integrated big data analytics-enabled transformation model: Application to health care. Information & Management. 55(1). 64–79. 292 indexed citations breakdown →
6.
Kung, LeeAnn, Yichuan Wang, & Hsiang‐Jui Kung. (2016). Exploring Configurations for Business Value from Event-Driven Architecture in Healthcare. International Conference on Information Systems. 1 indexed citations
7.
Wang, Yichuan, LeeAnn Kung, & Terry Anthony Byrd. (2016). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change. 126. 3–13. 917 indexed citations breakdown →
8.
Kung, LeeAnn, Hsiang‐Jui Kung, L. Allison Jones‐Farmer, & Yichuan Wang. (2015). Managing Big Data for Firm Performance: a Configurational Approach. Journal of the Association for Information Systems. 17 indexed citations
9.
Kung, LeeAnn, Casey G. Cegielski, & Hsiang‐Jui Kung. (2015). An Integrated Environmental Perspective on Software as a Service Adoption in Manufacturing and Retail Firms. Journal of Information Technology. 30(4). 352–363. 57 indexed citations
10.
Wang, Yichuan, et al.. (2015). Beyond a Technical Perspective: Understanding Big Data Capabilities in Health Care. SSRN Electronic Journal. 3044–3053. 14 indexed citations
11.
Lin, Yi‐Chen, Yichuan Wang, & LeeAnn Kung. (2015). Influences of cross-functional collaboration and knowledge creation on technology commercialization: Evidence from high-tech industries. Industrial Marketing Management. 49. 128–138. 61 indexed citations
12.
Hazen, Benjamin T., LeeAnn Kung, Casey G. Cegielski, & L. Allison Jones‐Farmer. (2014). Performance expectancy and use of enterprise architecture: training as an intervention. Journal of Enterprise Information Management. 27(2). 180–196. 23 indexed citations
13.
Wang, Yichuan, et al.. (2014). Developing a Big Data-Enabled Transformation Model in Healthcare: A Practice Based View. Journal of the Association for Information Systems. 6 indexed citations
14.
Kung, LeeAnn & Hsiang‐Jui Kung. (2014). External Environment Pressure on Organizational Innovation Adoption: from Literature to a Conceptual Model. 15(1). 99–115. 3 indexed citations
15.
Kung, LeeAnn, Casey G. Cegielski, & Hsiang‐Jui Kung. (2013). Environmental Pressure on Software as a Service Adoption: An Integrated Perspective. Americas Conference on Information Systems. 1424–1432. 2 indexed citations
16.
Wang, Yichuan, LeeAnn Kung, & Terry Anthony Byrd. (2013). Leveraging Event-Driven IT Architecture Capability for Competitive Advantage in Healthcare Industry: A Mediated Model. SSRN Electronic Journal.
17.
Kung, Hsiang‐Jui & LeeAnn Kung. (2013). An interactive tool to improve learning of data modeling: a survey study. Journal of computing sciences in colleges. 28(4). 11–18.
18.
Kung, Hsiang‐Jui, et al.. (2012). Comparing Top-Down with Bottom-Up Approaches: Teaching Data Modeling. Information Systems Education Journal. 11(1). 14–24. 3 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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