LabCompass

Hong Joo Lee

Decision Sciences · Indiana University

OpenAlex ORCID
Established · publishing since 1999
Technology Adoption and User BehaviourDigital Marketing and Social MediaCustomer Service Quality and LoyaltyRecommender Systems and TechniquesTechnology and Data Analysis

Publications

108

Citations

1,605

Est. group size

—

Recurring co-author estimate

Active years

27

Publishing since 1999

Research summary
AI-generated

Hong Joo Lee studies how people adopt and interact with technology, especially in online commerce and social media settings. The work combines consumer behavior research (such as purchase intentions, privacy concerns, and online word-of-mouth) with computational methods like text mining and deep learning applied to reviews, medical reports, and product data. Overall the research sits at the intersection of decision sciences, information systems, and applied machine learning.

Technology adoption and user behaviorE-commerce and consumer decision-makingPrivacy and information disclosureText mining and social media analyticsApplied deep learning and classification

Publication activity has been fairly steady at roughly 2-5 papers per year over the past decade, averaging about 2 per year in the most recent five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

Current awards run through August 2028 — about 2 years of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNSF 2552966through Aug 2028 · $199k awarded

    ERI: Advanced Forecasting of Coastal Flooding and Extreme Rainfall

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 86 established Decision Sciences PIs within our index
Citations: 1,605cohort median 1,756
h-index: 16cohort median 20
Publications / year (recent): 2.0cohort median 2.9

Typically publishes in teams of ~3 · 70% small-team papers (≤3 authors) · across 20 venues

Publication cadence
Publications per year over the last 10 years — averaging 2.0/year recently
2017: 4 publications172018: 3 publications182019: 4 publications192020: 5 publications5202021: 4 publications212022: 2 publications222023: 3 publications23242025: 5 publications52526
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 0 collaborators at the same institution2018: 0 collaborators at the same institution2019: 0 collaborators at the same institution2020: 0 collaborators at the same institution2021: 0 collaborators at the same institution2022: 0 collaborators at the same institution2023: 0 collaborators at the same institution2024: 0 collaborators at the same institution2025: 1 collaborator at the same institution1719212325
Recent publications
Publishes in
  • Journal of Intelligence and Information Systems×4
  • Knowledge Management Review×4
  • Gyeong'yeong jeongbohag yeon'gu/Gyeong-yeong jeongbohak yeon-gu×2
  • Journal of theoretical and applied electronic commerce research×2
  • Asia Pacific Journal of Information Systems×2
Similar researchers
By research-topic overlap
  • Victor Chen

    Decision Sciences · Purdue University West Lafayette

  • Hillol Bala

    Decision Sciences · Indiana University

  • Chang Liu

    Decision Sciences · Indiana University

  • Chang Won Lee

    Decision Sciences · The Ohio State University

  • Chenxi Liu

    Decision Sciences · The Ohio State University

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Sep 1, 2026.

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