Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)

Path Choosing of Logistics Service Upgrading Driven by Big Data

Authors
Jie Ma
Corresponding Author
Jie Ma
Available Online April 2019.
DOI
https://doi.org/10.2991/ismss-19.2019.15How to use a DOI?
Keywords
Big Data; Logistics service upgrading; path choosing; AHP model
Abstract
With the rapid development of Big Data technology, it strongly drives logistics service upgrading. As for logistics companies, how to choose a proper path of service upgrading by using big data is a question. This paper is trying to analyze the upgrading paths and their impact factors. Then An empirical study is made on a sample company by constructing an AHP model, which includes target layer of path choosing, criterion layer of eight impact factors and solution layer of four possible paths. According to the situation of the sample company and experts discuss, the indexes are rated and calculated. The sequence of path choosing for the sample company to upgrade its logistics service by using Big Data is concluded as a result. The paper provides a new aspect to research logistics service upgrading driven by big data. The outcome is worthy to logistics companies when choosing a service upgrading path.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
The First International Symposium on Management and Social Sciences (ISMSS 2019)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2019
ISBN
978-94-6252-697-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/ismss-19.2019.15How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jie Ma
PY  - 2019/04
DA  - 2019/04
TI  - Path Choosing of Logistics Service Upgrading Driven by Big Data
BT  - The First International Symposium on Management and Social Sciences (ISMSS 2019)
PB  - Atlantis Press
SP  - 74
EP  - 78
SN  - 2352-5398
UR  - https://doi.org/10.2991/ismss-19.2019.15
DO  - https://doi.org/10.2991/ismss-19.2019.15
ID  - Ma2019/04
ER  -