World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
56
Citations
14790
World Ranking
694
National Ranking
4

Dong-Hee Shin publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Dong-Hee Shin sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 243 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Dong-Hee Shin D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Dong-Hee Shin sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 56 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

Dong-Hee Shin is affiliated with Zayed University in the United Arab Emirates and has a research profile spanning social sciences and computer science. Their work covers a diverse range of subjects including sociology, political science, safety research, information systems, artificial intelligence, and communication.

Their research topics include:

  • Ethics and Social Impacts of AI
  • Misinformation and Its Impacts
  • Privacy, Security, and Data Protection
  • Digital Marketing and Social Media
  • AI in Service Interactions
  • Blockchain Technology Applications and Security
  • Technology Adoption and User Behaviour

Several of Dong-Hee Shin's recent papers illustrate their focus on algorithmic systems, user experience, and technology impact studies:

  • The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI (2020), International Journal of Human-Computer Studies
  • User Perceptions of Algorithmic Decisions in the Personalized AI System: Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability (2020), Journal of Broadcasting & Electronic Media
  • The actualization of meta affordances: Conceptualizing affordance actualization in the metaverse games (2022), Computers in Human Behavior
  • Beyond user experience: What constitutes algorithmic experiences? (2020), International Journal of Information Management
  • Algorithm awareness: Why user awareness is critical for personal privacy in the adoption of algorithmic platforms? (2022), International Journal of Information Management

Frequent co-authors of Dong-Hee Shin include:

  • Joon Soo Lim
  • Azmat Rasul
  • Emily Y. Shin
  • Mohammed Ibahrine
  • Bouziane Zaid

The venues where Dong-Hee Shin often publishes research include:

  • Journal of the Korean Earth Science Society
  • Journal of Broadcasting & Electronic Media
  • AI & Society
  • SSRN Electronic Journal
  • Computer

Dong-Hee Shin's scholarly output reflects a multidisciplinary approach, integrating social sciences and computing disciplines to explore topics related to technology adoption, algorithmic transparency, and the social implications of artificial intelligence.

Best Publications

  • Towards an understanding of the consumer acceptance of mobile wallet

    Dong-Hee Shin

  • The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

    Donghee Shin

  • An acceptance model for smart watches: Implications for the adoption of future wearable technology

    Ki Joon Kim;Dong-Hee Shin

  • Role of fairness, accountability, and transparency in algorithmic affordance

    Donghee Shin;Yong Jin Park

  • User experience in social commerce: in friends we trust

    Dong-Hee Shin

  • Analyzing China's Fintech Industry from the Perspective of Actor-Network Theory

    Yongwoon Shim;Dong-Hee Shin

  • Why do people play social network games

    Dong-Hee Shin;Youn-Joo Shin

  • Applying the Technology Acceptance Model and flow theory to Cyworld user behavior: implication of the Web2.0 user acceptance.

    Dong-Hee Shin;Won-Young Kim

  • Forecasting customer switching intention in mobile service: An exploratory study of predictive factors in mobile number portability

    Dong-Hee Shin;Won-Yong Kim

  • User Perceptions of Algorithmic Decisions in the Personalized AI System:Perceptual Evaluation of Fairness, Accountability, Transparency, and Explainability

    Donghee Shin

  • User acceptance of mobile Internet: Implication for convergence technologies

    Dong-Hee Shin

  • User experience in social commerce: in friends we trust

    Unknown

  • The psychology behind QR codes: User experience perspective

    Dong-Hee Shin;Jaemin Jung;Byeng-Hee Chang

  • Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation

    Jian Mou;Dong-Hee Shin;Jason Cohen

  • Conceptualizing and measuring quality of experience of the internet of things: Exploring how quality is perceived by users

    Dong-Hee Shin

  • A socio-technical framework for Internet-of-Things design: A human-centered design for the Internet of Things

    Donghee Shin

  • Can Autonomous Vehicles Be Safe and Trustworthy? Effects of Appearance and Autonomy of Unmanned Driving Systems

    Jae-Gil Lee;Ki Joon Kim;Sangwon Lee;Dong-Hee Shin

  • Understanding purchasing behaviors in a virtual economy: Consumer behavior involving virtual currency in Web 2.0 communities

    Dong Hee Shin

  • Understanding e-book users: Uses and gratification expectancy model

    Dong-Hee Shin

  • User centric cloud service model in public sectors: Policy implications of cloud services ☆

    Dong-Hee Shin

  • An empirical investigation of a modified technology acceptance model of IPTV

    Dong Hee Shin

  • Determinants of customer acceptance of multi-service network: An implication for IP-based technologies

    Dong Hee Shin

  • Analysis of online social networks: a cross‐national study

    Dong‐Hee Shin

  • Trust and risk in consumer acceptance of e-services

    Jian Mou;Dong-Hee Shin;Jason F. Cohen

Frequent Co-Authors

Frank Biocca
Frank Biocca New Jersey Institute of Technology
Yujong Hwang
Yujong Hwang DePaul University
Thomas Hugh Feeley
Thomas Hugh Feeley University at Buffalo, State University of New York
Eunil Park
Eunil Park Sungkyunkwan University

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