Exploring logistics performance index using i-distance statistical approach
Апстракт
The paper analysis the structure of the World Bank's Logistics Performance Index -LPI.. Weighting procedure applied to construct LPI is explored using a statistical I-distance technique. Bused on LPI data, the importance of each variable is obtained and ranking of countries is performed. The results revealed that index based on I-distance better encapsulates six LPI indicators. Some discrepancies between LPI and I-distance based ranking, appear to be more significant among lower ranking countries.
Кључне речи:
statistical analysis / logistics performance evaluation / country rankingsИзвор:
Proceedings of the 3rd Logistics International Conference, 2017, 160-165Издавач:
- Univ Belgrade, Fac Transport And Traffic Engineering, Belgrade
Институција/група
Fakultet organizacionih naukaTY - CONF AU - Petrović, Marijana AU - Jeremić, Veljko AU - Bojković, Nataša PY - 2017 UR - https://rfos.fon.bg.ac.rs/handle/123456789/1666 AB - The paper analysis the structure of the World Bank's Logistics Performance Index -LPI.. Weighting procedure applied to construct LPI is explored using a statistical I-distance technique. Bused on LPI data, the importance of each variable is obtained and ranking of countries is performed. The results revealed that index based on I-distance better encapsulates six LPI indicators. Some discrepancies between LPI and I-distance based ranking, appear to be more significant among lower ranking countries. PB - Univ Belgrade, Fac Transport And Traffic Engineering, Belgrade C3 - Proceedings of the 3rd Logistics International Conference T1 - Exploring logistics performance index using i-distance statistical approach EP - 165 SP - 160 UR - conv_2284 ER -
@conference{ author = "Petrović, Marijana and Jeremić, Veljko and Bojković, Nataša", year = "2017", abstract = "The paper analysis the structure of the World Bank's Logistics Performance Index -LPI.. Weighting procedure applied to construct LPI is explored using a statistical I-distance technique. Bused on LPI data, the importance of each variable is obtained and ranking of countries is performed. The results revealed that index based on I-distance better encapsulates six LPI indicators. Some discrepancies between LPI and I-distance based ranking, appear to be more significant among lower ranking countries.", publisher = "Univ Belgrade, Fac Transport And Traffic Engineering, Belgrade", journal = "Proceedings of the 3rd Logistics International Conference", title = "Exploring logistics performance index using i-distance statistical approach", pages = "165-160", url = "conv_2284" }
Petrović, M., Jeremić, V.,& Bojković, N.. (2017). Exploring logistics performance index using i-distance statistical approach. in Proceedings of the 3rd Logistics International Conference Univ Belgrade, Fac Transport And Traffic Engineering, Belgrade., 160-165. conv_2284
Petrović M, Jeremić V, Bojković N. Exploring logistics performance index using i-distance statistical approach. in Proceedings of the 3rd Logistics International Conference. 2017;:160-165. conv_2284 .
Petrović, Marijana, Jeremić, Veljko, Bojković, Nataša, "Exploring logistics performance index using i-distance statistical approach" in Proceedings of the 3rd Logistics International Conference (2017):160-165, conv_2284 .