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Technology Adoption and User Behaviour

Technology Adoption and User Behaviour is a research topic within Information Systems and Management. Science Explorer counts 63k research works in it since 1950. 36.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the acceptance and adoption of information technology, focusing on the Technology Acceptance Model, user satisfaction, consumer trust in e-commerce, and the use of partial least squares structural equation modeling. It delves into topics such as online shopping behavior, mobile banking adoption, and the factors influencing user acceptance of new technologies.

  • Technology Acceptance Model
  • Information Systems
  • Online Shopping
  • Partial Least Squares
  • Consumer Trust
  • E-commerce
  • User Satisfaction
  • Mobile Banking
  • Structural Equation Modeling
  • Perceived Ease of Use
Research works
63k
fractional, since 1950
In the world top 10%
23k
per year above
Top-10% rate
36.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+54%
the tick is no change

Which countries lead Technology Adoption and User Behaviour research?

By volume, Indonesia and India publish the most (4.2k and 2.2k works in 2022–2025).

By volume, 2022–2025

  1. 1 Indonesia 4.2k works
  2. 2 India 2.2k works
  3. 3 China 2.1k works
  4. 4 United States 1.3k works
  5. 5 Malaysia 1.2k works
  6. 6 Türkiye 457 works
  7. 7 South Korea 441 works
  8. 8 Pakistan 412 works
  9. 9 Vietnam 396 works
  10. 10 United Kingdom 390 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

Indonesia: 32.0%India: 16.8%China: 15.7%United States: 10.0%6 others listed: 25.5%32%largest
Indonesia4,176 · 32.0%India2,197 · 16.8%China2,056 · 15.7%United States1,306 · 10.0%6 others listed3,328 · 25.5%

Shares of the rows listed above, not of the whole node.

Which institutions lead Technology Adoption and User Behaviour research?

By volume in 2022–2025, Binus University publishes the most Technology Adoption and User Behaviour research, followed by Universiti Teknologi MARA and Telkom University.

Who are the leading researchers in Technology Adoption and User Behaviour?

The most-cited researchers publishing on Technology Adoption and User Behaviour include Marko Sarstedt, Christian M. Ringle and Jörg Henseler.

  1. 1 Marko Sarstedt Germany 11k citations
  2. 2 Christian M. Ringle Germany 11k citations
  3. 3 Jörg Henseler Netherlands 7.6k citations
  4. 4 Rajiv D. Banker United States 4.6k citations
  5. 5 Michael Newman United Kingdom 4k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Technology Adoption and User Behaviour research done?

The largest centres of Technology Adoption and User Behaviour research in 2022–2025 are Jakarta (Indonesia), Bandung (Indonesia), Surabaya (Indonesia) and Beijing (China). Among places with at least 20 works in it, it is an unusually large share of all research in Kelaniya and Malacca.

Largest cities, 2022–2025

  1. 1 Jakarta Indonesia 999 works
  2. 2 Bandung Indonesia 470 works
  3. 3 Surabaya Indonesia 327 works
  4. 4 Beijing China 291 works
  5. 5 Kuala Lumpur Malaysia 261 works
  6. 6 Seoul South Korea 247 works
  7. 7 Yogyakarta Indonesia 223 works
  8. 8 Shah Alam Malaysia 215 works
  9. 9 Malang Indonesia 208 works
  10. 10 Ho Chi Minh City Vietnam 182 works

Where it is the local speciality

  1. KelaniyaLK · 24.8 works17×
  2. MalaccaMY · 80.7 works15×
← less than its size predictsmore →

Location quotient: how much more of its research is in Technology Adoption and User Behaviour than the world average.

See Technology Adoption and User Behaviour on the map

Where is the best place to study Technology Adoption and User Behaviour?

Among universities, judged by research, University of Business and Technology, UCSI University and Taylor's University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%50%100%mean 57.37%fractional works in this node (log) →share in the world top 10% →University of Business and Technology: 41, 60.1%UCSI University: 26, 61.5%Taylor's University: 22, 56.0%Binus University: 470, 17.7%International Management Institute: 15, 59.4%Jadara University: 19, 72.9%Symbiosis International University: 76, 38.7%Middle East University: 16, 66.8%Sunway University: 24, 62.2%Al-Ahliyya Amman University: 11, 78.4%UCSI UniversityUniversity of Busine…Taylor's UniversityBinus University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 University of Business and TechnologySaudi Arabia 75.060.1%21.6×41 +137.3%
2 UCSI UniversityMalaysia 70.561.5%13.8×26 +146.6%
3 Taylor's UniversityMalaysia 70.156.0%12.8×22 +344.9%
4 Binus UniversityIndonesia 67.417.7%42.6×470 +565.0%
5 International Management InstituteIndia 67.459.4%22.2×15 +542.5%
6 Jadara UniversityJordan 66.972.9%23.6×19
7 Symbiosis International UniversityIndia 66.638.7%11.3×76 +196.2%
8 Middle East UniversityJordan 66.666.8%20.1×16 +71.4%
9 Sunway UniversityMalaysia 66.062.2%12.6×24 +46.9%
10 Al-Ahliyya Amman UniversityJordan 65.978.4%9.6×11

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Technology Adoption and User Behaviour research growing?

Output in 2018–2022 was 54% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Technology Adoption and User Behaviour.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.