World's Best Scientists 2026 revealed!
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Business and Management
Taiwan
2026

D-Index & Metrics

Business and Management

D-Index
55
Citations
17387
World Ranking
725
National Ranking
7

Engineering and Technology

D-Index
55
Citations
16866
World Ranking
2931
National Ranking
17

Ting-Peng Liang 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 Ting-Peng Liang 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: 201 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Ting-Peng Liang 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 Ting-Peng Liang 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: 55 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Business and Management in Taiwan Leader Award
  • 2025 - Research.com Business and Management in Taiwan Leader Award

Overview

Ting-Peng Liang is affiliated with National Sun Yat-sen University in Taiwan. Their research primarily focuses on business, management, and accounting, with significant contributions to marketing, sociology and political science, information systems, information systems and management, and artificial intelligence.

The scientist's recent publications cover a range of topics including digital marketing, blockchain technology applications and security, technology adoption, consumer retail behavior, sentiment analysis, opinion mining, hate speech, cyberbullying detection, and the sharing economy.

Recent papers authored or co-authored by Ting-Peng Liang include:

  • What Drives the Adoption of the Blockchain Technology? A Fit-Viability Perspective (2021, Journal of Management Information Systems)
  • What drives consumers to adopt a sharing platform: An integrated model of value-based and transaction cost theories (2021, Information & Management)

Other notable papers in their network of research include:

  • Elaboration likelihood model, endogenous quality indicators, and online review helpfulness (2021, Decision Support Systems)
  • Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021, European Journal of Operational Research)
  • Managing Change with the Support of Smart Technology: A Field Investigation of Ride-Hailing Services (2020, Journal of the Association for Information Systems)

The venues in which Ting-Peng Liang frequently publishes include:

  • Journal of Management Information Systems
  • Decision Support Systems
  • Information & Management
  • Information Systems Journal
  • European Journal of Operational Research

Ting-Peng Liang collaborates with several co-authors, among whom are:

  • Rajiv Kohli
  • Yen-Chun Chou
  • Howard Hao-Chun Chuang
  • Choon Ling Sia
  • Ofir Turel

The main research topics covered by Ting-Peng Liang include:

  • Digital Marketing and Social Media
  • Blockchain Technology Applications and Security
  • Technology Adoption and User Behaviour
  • Consumer Retail Behavior Studies
  • Sentiment Analysis and Opinion Mining
  • Hate Speech and Cyberbullying Detection
  • Sharing Economy and Platforms

Best Publications

  • Consumer Attitudes Toward Mobile Advertising: An Empirical Study

    Melody M. Tsang;Shu-Chun Ho;Ting-Peng Liang

  • What Drives Social Commerce: The Role of Social Support and Relationship Quality

    Ting-Peng Liang;Yi-Ting Ho;Yu-Wen Li;Efraim Turban

  • Introduction to the Special Issue Social Commerce: A Research Framework for Social Commerce

    Ting-Peng Liang;Efraim Turban

  • An empirical study on consumer acceptance of products in electronic markets: a transaction cost model

    Ting-Peng Liang

  • Creating Strategic Business Value from Big Data Analytics: A Research Framework

    Varun Grover;Roger H.L. Chiang;Ting-Peng Liang;Dongsong Zhang

  • Effect of store design on consumer purchases: an empirical study of on-line bookstores

    Ting-Peng Liang;Hung-Jen Lai

  • Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings

    Ting-Peng Liang;Hung-Jen Lai;Yi-Cheng Ku

  • A resource‐based perspective on information technology and firm performance: a meta analysis

    Ting‐Peng Liang;Jun‐Jer You;Chih‐Chung Liu

  • How information technology governance mechanisms and strategic alignment influence organizational performance: insights from a matched survey of business and it managers

    Shelly Ping-Ju Wu;Detmar W. Straub;Ting-Peng Liang

  • Adoption of mobile technology in business: a fit‐viability model

    Ting‐Peng Liang;Chen‐Wei Huang;Yi‐Hsuan Yeh;Binshan Lin

  • Enterprise Social Networking: Opportunities, Adoption, and Risk Mitigation

    Efraim Turban;Narasimha Bolloju;Ting-Peng Liang

  • Introduction to the Special Issue: Mobile Commerce Applications

    Ting-Peng Liang;Chih-Ping Wei

  • Decision Support Systems and Intelligent Systems (7th Edition)

    Efraim Turban;Jay E. Aronson;Ting-Peng Liang

  • Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study

    Ting-Peng Liang;Yu-Hsi Liu

  • Decision Support and Business Intelligence Systems (8th Edition)

    Efraim Turban;Jay E Aronson;Ting-Peng Liang;Ramesh Sharda

  • A Framework for Adopting Collaboration 2.0 Tools for Virtual Group Decision Making

    Efraim Turban;Ting-Peng Liang;Ting-Peng Liang;Shelly P. J. Wu

  • A growth theory perspective on B2C e-commerce growth in Europe: An exploratory study

    Shu-Chun Ho;Robert J. Kauffman;Ting-Peng Liang

  • What can crowdsourcing do for decision support

    Chao-Min Chiu;Ting-Peng Liang;Efraim Turban

  • A semantic-expansion approach to personalized knowledge recommendation

    Ting-Peng Liang;Yung-Fang Yang;Deng-Neng Chen;Yi-Cheng Ku

  • What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approach

    Ting-Peng Liang;Ting-Peng Liang;Xin Li;Chin-Tsung Yang;Mengyue Wang

Frequent Co-Authors

Efraim Turban
Efraim Turban University of Hawaii at Manoa
Suprateek Sarker
Suprateek Sarker University of Virginia
Paul Benjamin Lowry
Paul Benjamin Lowry Virginia Tech
Jan C. Recker
Jan C. Recker Universität Hamburg
Susan A. Brown
Susan A. Brown University of Arizona
Gary Klein
Gary Klein University of Colorado Colorado Springs
Carol Saunders
Carol Saunders University of Central Florida
Alan R. Dennis
Alan R. Dennis Indiana University
Dennis F. Galletta
Dennis F. Galletta University of Pittsburgh
Binshan Lin
Binshan Lin Louisiana State University in Shreveport

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