Articles by target region and number of companies in the analyzed dataset
| Region | Number of companies in the analyzed dataset | ||||||
|---|---|---|---|---|---|---|---|
| Category | Number of studies | % | Top article, according to the FWCI | Category | Number of studies | % | Top article, according to the FWCI |
| V41 | 16 | 23 | Kliestik et al. (2017) | 0–999 | 30 | 44 | Jabeur et al. (2021) |
| EU2 | 19 | 27 | Jabeur et al. (2021) | 1000–9999 | 14 | 21 | Jones et al. (2017) |
| Europe3 | 2 | 3 | Korol (2018) | 10,000–999,999 | 16 | 23 | Kliestik et al. (2017) |
| Other country groupings4 | 7 | 10 | Altman et al. (2017) | 1M and more | 4 | 6 | Altman et al. (2017) |
| Not assigned to a specific region | 4 | 6 | Altman (2018) | No real data/NA | 4 | 6 | Sun et al. (2014a, b) |
| China/Taiwan | 15 | 21 | Liang et al. (2016) | _ | – | – | – |
| North America | 6 | 8.5 | Barboza et al. (2017) | _ | – | – | – |
| Australia | 1 | 1.5 | Peat and Jones (2012) | _ | – | – | – |
| Total | 70 | 100 | Total | 684 | 100 | ||
| Region | Number of companies in the analyzed dataset | ||||||
|---|---|---|---|---|---|---|---|
| Category | Number of studies | % | Top article, according to the FWCI | Category | Number of studies | % | Top article, according to the FWCI |
| V41 | 16 | 23 | 0–999 | 30 | 44 | ||
| EU2 | 19 | 27 | 1000–9999 | 14 | 21 | ||
| Europe3 | 2 | 3 | 10,000–999,999 | 16 | 23 | ||
| Other country groupings4 | 7 | 10 | 1M and more | 4 | 6 | ||
| Not assigned to a specific region | 4 | 6 | No real data/NA | 4 | 6 | ||
| China/Taiwan | 15 | 21 | _ | – | – | – | |
| North America | 6 | 8.5 | _ | – | – | – | |
| Australia | 1 | 1.5 | _ | – | – | – | |
Note(s): 1Visegrad countries (V4) together or separate; 2EU as a whole and other EU countries without V4; 3European countries meaning EU countries and other non-EU countries together; 4two articles deal with the comparison of already created models
Source(s): Own elaboration
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