Assessment of Poland's competitiveness as a location for BPO/SSC projects - Open Research Data - MOST Wiedzy

Wyszukiwarka

Assessment of Poland's competitiveness as a location for BPO/SSC projects

Opis

In compiled by A.T. Kearney in subsequent editions of the ranking (2009, 2011, 2016, 2019), the first three positions were taken by the same countries. India received the highest marks with a clear advantage. The country is a world leader in terms of attractiveness for locating business service centers. India can offer English-speaking skilled labor that no other low-cost countries can match. In march 2018, India was hosting more than 1140 global in-house captive centers, which allow almost half of the top 500 global companies to work in India. The next place was taken by China, which is second to India primarily in terms of financial attractiveness. Malaysia was ranked third, second only to India and China in terms of people skills and availability. Places 4-5 went to Indonesia and Vietnam. In turn, the 6th position was taken by the USA as the first country from outside Asia. Compared to the previous edition of the ranking, the USA moved up by 16 positions and was in the top ten of the ranking, thanks to best-in-Index performance in the new digital resonance category. Automation is being rapidly implemented in onshore centers in the United States.
The first European country in this ranking is United Kingdom (position 8). In turn, countries from continental Europe took positions 12 (Estonia), 15 (Germany), 16 (Lithuania), 17 (Bulgaria), 18 (Russia), 20 (Ukraine) and 21 (Latvia). Poland was on the 24th position in the ranking. This means a decrease by 14 places compared to the result in the 2016 ranking.
Poland competes directly with countries located in Central and Eastern Europe for potential investors. In comparison with the countries of the region, Poland fared worse, mainly in terms of financial attractiveness, with a similar level of other factors.

Plik z danymi badawczymi

Tabela 39.xlsx
11.4 kB, S3 ETag fd17eba88db875ef7386d5b46e7cfc9b-1, pobrań: 40
Hash pliku liczony jest ze wzoru
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} gdzie pojedyncza część pliku jest wielkości 512 MB

Przykładowy skrypt do wyliczenia:
https://github.com/antespi/s3md5

Informacje szczegółowe o pliku

Licencja:
Creative Commons: by-nc 4.0 otwiera się w nowej karcie
CC BY-NC
Użycie niekomercyjne

Informacje szczegółowe

Rok publikacji:
2021
Data zatwierdzenia:
2021-05-06
Data wytworzenia:
2020
Język danych badawczych:
angielski
Dyscypliny:
  • ekonomia i finanse (Dziedzina nauk społecznych)
DOI:
Identyfikator DOI 10.34808/g49x-hg50 otwiera się w nowej karcie
Weryfikacja:
Politechnika Gdańska

Słowa kluczowe

Cytuj jako

wyświetlono 117 razy