Science Explorer Interactive view Map

Digital Innovation in Industries

Digital Innovation in Industries is a research topic within Management of Technology and Innovation. Science Explorer counts 22k research works in it since 1950. 8.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the multifaceted aspects of digital transformation, including the development of business models, the role of artificial intelligence, customer experience management, technology innovation, big data utilization, e-commerce strategies, mobile health applications, omni-channel retailing, and the impact on sustainable development goals.

  • Digital Transformation
  • Business Models
  • Artificial Intelligence
  • Customer Experience
  • Technology Innovation
  • Big Data
  • E-commerce
  • Mobile Health
  • Omni-Channel Strategy
  • Sustainable Development
Research works
22k
fractional, since 1950
In the world top 10%
1.8k
per year above
Top-10% rate
8.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+17%
the tick is no change

Which countries lead Digital Innovation in Industries research?

By volume, Germany and the United States publish the most (3.3k and 237 works in 2022–2025).

By volume, 2022–2025

  1. 1 Germany 3.3k works
  2. 2 United States 237 works
  3. 3 Switzerland 230 works
  4. 4 Austria 196 works
  5. 5 India 74 works
  6. 6 United Kingdom 68 works
  7. 7 China 39 works
  8. 8 Italy 30 works
  9. 9 France 27 works
  10. 10 Indonesia 26 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.

Germany: 78.1%United States: 5.6%Switzerland: 5.4%Austria: 4.6%6 others listed: 6.2%78%largest
Germany3,306 · 78.1%United States237 · 5.6%Switzerland230 · 5.4%Austria196 · 4.6%6 others listed264 · 6.2%

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

Which institutions lead Digital Innovation in Industries research?

By volume in 2022–2025, München Klinik publishes the most Digital Innovation in Industries research, followed by IU International University of Applied Sciences and FOM University of Applied Sciences for Economics and Management.

Who are the leading researchers in Digital Innovation in Industries?

The most-cited researchers publishing on Digital Innovation in Industries include A. Pfeiffer and Konrad Zuse.

  1. 1 A. Pfeiffer Switzerland 4.6k citations
  2. 2 Konrad Zuse Germany 4.3k citations

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

Where is Digital Innovation in Industries research done?

The largest centres of Digital Innovation in Industries research in 2022–2025 are Munich (Germany), Berlin (Germany), Stuttgart (Germany) and Hamburg (Germany). Among places with at least 20 works in it, it is an unusually large share of all research in Speyer.

Largest cities, 2022–2025

  1. 1 Munich Germany 256 works
  2. 2 Berlin Germany 232 works
  3. 3 Stuttgart Germany 173 works
  4. 4 Hamburg Germany 107 works
  5. 5 Cologne Germany 94 works
  6. 6 Essen Germany 91 works
  7. 7 Vienna Austria 88 works
  8. 8 Dortmund Germany 81 works
  9. 9 Düsseldorf Germany 80 works
  10. 10 Frankfurt am Main Germany 73 works

Where it is the local speciality

  1. SpeyerDE · 21.0 works268×
← less than its size predictsmore →

Location quotient: how much more of its research is in Digital Innovation in Industries than the world average.

See Digital Innovation in Industries on the map

Where is the best place to study Digital Innovation in Industries?

Among universities, judged by research, Offenburg University of Applied Sciences, Technische Hochschule Ingolstadt and University of Hohenheim 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%10%20%mean 10.2%fractional works in this node (log) →share in the world top 10% →Offenburg University of Applied Sciences: 22, 19.0%Technische Hochschule Ingolstadt: 22, 14.1%University of Hohenheim: 13, 12.1%FOM University of Applied Sciences for Economics and Management: 44, 5.6%University of Bremen: 25, 12.9%Lucerne University of Applied Sciences and Arts: 24, 6.7%University of Duisburg-Essen: 29, 5.3%IU International University of Applied Sciences: 56, 8.8%Hochschule Fresenius: 14, 9.1%HTW Berlin - University of Applied Sciences: 24, 8.4%Offenburg University…Technische Hochschul…University of Hohenh…FOM University of Ap…
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 Offenburg University of Applied SciencesGermany 76.419.0%187.4×22 +125.4%
2 Technische Hochschule IngolstadtGermany 75.414.1%161.7×22 +1131.9%
3 University of HohenheimGermany 66.312.1%28.6×13 +131.3%
4 FOM University of Applied Sciences for Economics and ManagementGermany 66.05.6%259.8×44 +702.7%
5 University of BremenGermany 65.112.9%24.1×25 +20.5%
6 Lucerne University of Applied Sciences and ArtsSwitzerland 64.06.7%109.2×24 +813.8%
7 University of Duisburg-EssenGermany 63.95.3%21.7×29 +185.8%
8 IU International University of Applied SciencesGermany 63.48.8%288.4×56
9 Hochschule FreseniusGermany 62.29.1%183.8×14 +801.4%
10 HTW Berlin - University of Applied SciencesGermany 61.78.4%146.8×24 +136.5%

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 Digital Innovation in Industries research growing?

Output in 2018–2022 was 17% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Digital Innovation in Industries.

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.