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Record
Title
A Framework for Selecting an ERP Open Source System: A Case Study
Type
Student Paper
Publ. year
2016
Author/s
Magnusson, Alexander
Department/s
Department of Computer Science
In LUP since
2017-01-20
Downloads

Total This Year This Month
1389 8 8
Downloads per country

United States of America 191 (14%)
China 108 (8%)
Sweden 97 (7%)
Germany 90 (6%)
India 71 (5%)
Indonesia 60 (4%)
Ethiopia 30 (2%)
Viet Nam 30 (2%)
Russian Federation 28 (2%)
Unknown 24 (2%)
Hong Kong (China) 24 (2%)
Netherlands (Kingdom of the) 21 (2%)
Canada 19 (1%)
Spain 19 (1%)
South Africa 18 (1%)
France 17 (1%)
Philippines 16 (1%)
Hungary 16 (1%)
Malaysia 16 (1%)
United Arab Emirates 16 (1%)
Italy 16 (1%)
Japan 15 (1%)
United Kingdom of Great Britain and Northern Ireland 15 (1%)
Czechia 15 (1%)
Singapore 14 (1%)
Saudi Arabia 14 (1%)
Nigeria 13 (1%)
Serbia 13 (1%)
Egypt 13 (1%)
Thailand 13 (1%)
Botswana 12 (1%)
South Korea 11 (1%)
Pakistan 11 (1%)
Yemen 11 (1%)
Poland 11 (1%)
Colombia 10 (1%)
Bangladesh 10 (1%)
Peru 10 (1%)
Taiwan (China) 10 (1%)
Finland 9 (1%)
Switzerland 9 (1%)
Greece 9 (1%)
Iran 8 (1%)
Morocco 8 (1%)
Austria 7 (1%)
Ecuador 7 (1%)
Algeria 7 (1%)
Chile 7 (1%)
Brazil 7 (1%)
Mongolia 6 (0%)
Uganda 6 (0%)
Slovenia 6 (0%)
Kenya 6 (0%)
Mexico 6 (0%)
Ukraine 6 (0%)
Norway 5 (0%)
Australia 5 (0%)
Sudan 5 (0%)
Bulgaria 5 (0%)
Denmark 5 (0%)
Portugal 5 (0%)
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Nepal 4 (0%)
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Tunisia 3 (0%)
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Lithuania 3 (0%)
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Croatia 3 (0%)
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Ireland 2 (0%)
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Paraguay 2 (0%)
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Romania 2 (0%)
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Kuwait 1 (0%)
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Panama 1 (0%)
Uzbekistan 1 (0%)
Rwanda 1 (0%)
Israel 1 (0%)
Congo 1 (0%)
Malta 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Tue Jan 20 08:38:22 2026