LeeAnn Kung
Management Information Systems · 2018
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Management Information Systems — 24 citations into it; #2,435 of 3,376 by trust here, #1,022 by citations
- Strategy and Management — 11 citations into it
- Management Science and Operations Research — 10 citations into it; #9,234 of 11,946 by trust here, #3,825 by citations
- Health Information Management — 9 citations into it; #204 of 344 by trust here, #131 by citations
- Sociology and Political Science — 8 citations into it
Whom LeeAnn Kung trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Elo
- Wullianallur Raghupathi
- Shari S. C. Shang
- Klaus Krippendorff
- Helvi Kyngäs
- Viju Raghupathi
- Peter B. Seddon
- J. Webster
- H. Hsieh
- Philip Bromiley
Who trusts LeeAnn Kung overall
Papers from LeeAnn Kung's perspective
Ordered by how strongly the researchers LeeAnn Kung trusts endorse each paper. Same corpus, a different order for every researcher.
- Content Analysis: An Introduction to Its Methodology
- A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation (MIS Q.)
- Designing Qualitative Research
- Business Value of IT: An Essay on Expanding Research Directions to Keep up with the Times (Journal of the AIS)
- Analyzing the Past to Prepare for the Future: Writing a Literature Review (MIS Q.)
- Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value (MIS Q.)
- Technochange management: using IT to drive organizational change (Journal of Information and Technology)
- Towards a practice-based view of strategy
- Big data: The next frontier for innovation, competition, and productivity
- Qualitative data analysis (Evidence-Based Nursing)
Their papers
- An integrated big data analytics-enabled transformation model: Application to health care (2018) — 407 citations
- Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations (2018) — 1,377 citations