World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
66
Citations
18452
World Ranking
383
National Ranking
53

Computer Science

D-Index
63
Citations
17638
World Ranking
2732
National Ranking
157

Alain Yee-Loong Chong 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 Alain Yee-Loong Chong 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: 161 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Alain Yee-Loong Chong 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 Alain Yee-Loong Chong 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: 66 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Alain Yee-Loong Chong is affiliated with the University of Nottingham Ningbo China in China. Their academic work primarily spans the field of Business, Management and Accounting, with a particular focus on subfields such as Sociology and Political Science, Information Systems and Management, Management Information Systems, Strategy and Management, and Organizational Behavior and Human Resource Management.

Their research topics cover a range of areas including Technology Adoption and User Behaviour, Digital Marketing and Social Media, Customer Service Quality and Loyalty, Supply Chain Resilience and Risk Management, Virtual Reality Applications and Impacts, Quality and Supply Management, and Media Influence and Health.

Alain Yee-Loong Chong has contributed to several scholarly publications with notable papers including:

  • Predicting the antecedents of trust in social commerce - A hybrid structural equation modeling with neural network approach (2020), Journal of Business Research
  • Meta-Analysis of the Unified Theory of Acceptance and Use of Technology (UTAUT): Challenging its Validity and Charting A Research Agenda in the Red Ocean (2022), Durham Research Online (Durham University)
  • What influences the purchase of virtual gifts in live streaming in China? A cultural context-sensitive model (2021), Information Systems Journal
  • PLS-SEM in information systems: seizing the opportunity and marching ahead full speed to adopt methodological updates (2023), Industrial Management & Data Systems
  • Metaverse: Literature Review, Synthesis and Future Research Agenda (2023), Journal of Computer Information Systems

Their frequent co-authors include Xiaodie Pu, Boying Li, Suzanne Deputy, Alexandria Lipka, and Josh Surveillance, indicating ongoing collaborative research efforts.

Publication venues commonly featuring their work include the International Journal of Operations & Production Management, Veterinary Record, Information & Management, Industrial Management & Data Systems, and Internet Research.

Best Publications

  • An updated and expanded assessment of PLS-SEM in information systems research

    Joe Hair;Carole L. Hollingsworth;Adriane B. Randolph;Alain Yee Loong Chong

  • What drives Malaysian m‐commerce adoption? An empirical analysis

    Toh Tsu Wei;Govindan Marthandan;Alain Yee Loong Chong;Keng Boon Ooi

  • Predicting consumer decisions to adopt mobile commerce

    Alain Yee-Loong Chong;Felix T.S. Chan;Keng-Boon Ooi

  • Online banking adoption: an empirical analysis

    Alain Yee Loong Chong;Keng Boon Ooi;Binshan Lin;Boon In Tan

  • Predicting m-commerce adoption determinants: A neural network approach

    Alain Yee-Loong Chong

  • A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption

    Alain Yee-Loong Chong

  • Examining the antecedents of persuasive eWOM messages in social media

    Shasha Teng;Kok Wei Khong;Wei Wei Goh;Alain Yee Loong Chong

  • Factors affecting the Adoption Level of C-Commerce: An Empirical Study

    Alain Yee-Loong Chong;Binshan Lin;Keng-Boon Ooi;Murali Raman

  • Determinants of negative word-of-mouth communication using social networking sites

    M.S. Balaji;Kok Wei Khong;Alain Yee Loong Chong

  • Why people participate in the sharing economy: an empirical investigation of Uber

    Zach W.Y. Lee;Tommy K.H. Chan;M.S. Balaji;Alain Yee-Loong Chong

  • TQM and customer satisfaction in Malaysia's service sector

    Wen Yi Sit;Keng Boon Ooi;Binshan Lin;Alain Yee Loong Chong

  • Can Malaysian firms improve organizational/innovation performance via SCM?

    Alain Yee-Loong Chong;Felix T. S. Chan;Keng-Boon Ooi;Jia-Jia Sim

  • Customer engagement through omnichannel retailing: The effects of channel integration quality

    Zach W.Y. Lee;Tommy K.H. Chan;Alain Yee-Loong Chong;Dimple R. Thadani

  • Understanding Mobile Commerce Continuance Intentions: An Empirical Analysis of Chinese Consumers

    Alain Yee-Loong Chong

  • An empirical investigation of factors affecting e-collaboration diffusion in SMEs

    Felix T.S. Chan;Alain Yee-Loong Chong;Li Zhou

  • Adoption of interorganizational system standards in supply chains: An empirical analysis of RosettaNet standards

    Alain Yee Loong Chong;Keng Boon Ooi

  • Mobile commerce usage activities: The roles of demographic and motivation variables

    Alain Yee-Loong Chong

  • HRM practices and knowledge sharing: an empirical study

    Chee‐Yang Fong;Keng‐Boon Ooi;Boon‐In Tan;Voon‐Hsien Lee

  • Predicting RFID adoption in healthcare supply chain from the perspectives of users

    Alain Yee-Loong Chong;Martin J. Liu;Martin J. Liu;Jun Luo;Jun Luo;Ooi Keng-Boon

  • Structural equation modeling for multi-stage analysis on Radio Frequency Identification (RFID) diffusion in the health care industry

    Alain Yee-Loong Chong;Felix T.S. Chan

  • Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach

    Lai-Ying Leong;Teck-Soon Hew;Keng-Boon Ooi;Alain Yee-Loong Chong

  • Factors influencing people’s continuous watching intention and consumption intention in live streaming: evidence from China

    Fangfang Hou;Zhengzhi Guan;Boying Li;Alain Yee Loong Chong

Frequent Co-Authors

Keng-Boon Ooi
Keng-Boon Ooi UCSI University
Felix T.S. Chan
Felix T.S. Chan Macau University of Science and Technology
Binshan Lin
Binshan Lin Louisiana State University in Shreveport
Voon-Hsien Lee
Voon-Hsien Lee Universiti Tunku Abdul Rahman
Eric W.T. Ngai
Eric W.T. Ngai Hong Kong Polytechnic University
Lai-Ying Leong
Lai-Ying Leong Universiti Tunku Abdul Rahman
M.S. Balaji
M.S. Balaji RMIT University
Amrik S. Sohal
Amrik S. Sohal Monash University
Hing Kai Chan
Hing Kai Chan Wenzhou-Kean University
Scott McCabe
Scott McCabe University of Nottingham

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