Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)

An Analysis Innovation for Modern Service Indisutries' Ability Requirement from Business Administration Talents

Authors
Che Chang Chang, Yi Chou Wang
Corresponding Author
Che Chang Chang
Available Online July 2017.
DOI
10.2991/icoi-17.2017.40How to use a DOI?
Keywords
Modern service industry; bueiness administration; talents; analytic hierarchy proescc (AHP )
Abstract

Modern service industries have become an important engine for leading the world economic growth. In China, service industries have created lots of job opportunities for undergraduate students, especially for business administration majors. This study tries to find out what enterprises prefer when they request employees engaging in business management. Several factors were involved in dependent variables while conducting a survey. The analytic hierarchy process (AHP) was applied to compare the relative importance of different variables. After data analysis, suggestion for improving business majors' professional skills from time to time was made.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
978-94-6252-359-3
ISSN
1951-6851
DOI
10.2991/icoi-17.2017.40How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Che Chang Chang
AU  - Yi Chou Wang
PY  - 2017/07
DA  - 2017/07
TI  - An Analysis Innovation for Modern Service Indisutries' Ability Requirement from Business Administration Talents
BT  - Proceedings of the 2017 International Conference on Organizational Innovation (ICOI 2017)
PB  - Atlantis Press
SP  - 239
EP  - 245
SN  - 1951-6851
UR  - https://doi.org/10.2991/icoi-17.2017.40
DO  - 10.2991/icoi-17.2017.40
ID  - Chang2017/07
ER  -