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O2O selection mode portrait and optimization for railway service enterprises based on K-means
Establishing a platform successfully is just the basis for railway service companies to meet the demands of online to offline (O2O) supply chain services. In this paper, the K-means algorithm is first used to construct the user segmentation model of railway service companies and the AISAS (Attention...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098791/ https://www.ncbi.nlm.nih.gov/pubmed/34777964 http://dx.doi.org/10.1007/s40747-021-00375-0 |
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author | Sun, Changsuo Ye, Long Zhang, Na |
author_facet | Sun, Changsuo Ye, Long Zhang, Na |
author_sort | Sun, Changsuo |
collection | PubMed |
description | Establishing a platform successfully is just the basis for railway service companies to meet the demands of online to offline (O2O) supply chain services. In this paper, the K-means algorithm is first used to construct the user segmentation model of railway service companies and the AISAS (Attention-Interest-Search-Action-Share) method is used to establish the evaluation O2O model. According to this result, we propose four modes to establish O2O supply chain service platform for railway enterprise, which are self-built and self-operated (SBSO, Mode1), commissioned construction and self-operated (CCSO, Mode2), self-built and commissioned operation (SBCO, Mode3), commissioned construction and commissioned operation (CCCO, Mode4). By comparing the advantages and disadvantages of the four modes, the results illustrate the optimal model is impacted by the nature of the platform's operating products and the operating capabilities of the partners. The railway service enterprise needs to transform the traditional multi-level management model into the flat model to adapt the O2O supply chain strategies. |
format | Online Article Text |
id | pubmed-8098791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80987912021-05-06 O2O selection mode portrait and optimization for railway service enterprises based on K-means Sun, Changsuo Ye, Long Zhang, Na Complex Intell Systems Original Article Establishing a platform successfully is just the basis for railway service companies to meet the demands of online to offline (O2O) supply chain services. In this paper, the K-means algorithm is first used to construct the user segmentation model of railway service companies and the AISAS (Attention-Interest-Search-Action-Share) method is used to establish the evaluation O2O model. According to this result, we propose four modes to establish O2O supply chain service platform for railway enterprise, which are self-built and self-operated (SBSO, Mode1), commissioned construction and self-operated (CCSO, Mode2), self-built and commissioned operation (SBCO, Mode3), commissioned construction and commissioned operation (CCCO, Mode4). By comparing the advantages and disadvantages of the four modes, the results illustrate the optimal model is impacted by the nature of the platform's operating products and the operating capabilities of the partners. The railway service enterprise needs to transform the traditional multi-level management model into the flat model to adapt the O2O supply chain strategies. Springer International Publishing 2021-05-05 2023 /pmc/articles/PMC8098791/ /pubmed/34777964 http://dx.doi.org/10.1007/s40747-021-00375-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Sun, Changsuo Ye, Long Zhang, Na O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title | O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title_full | O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title_fullStr | O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title_full_unstemmed | O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title_short | O2O selection mode portrait and optimization for railway service enterprises based on K-means |
title_sort | o2o selection mode portrait and optimization for railway service enterprises based on k-means |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8098791/ https://www.ncbi.nlm.nih.gov/pubmed/34777964 http://dx.doi.org/10.1007/s40747-021-00375-0 |
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