Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)

Corporate Social Network Recruitment in the Age of Big Data

Authors
Wei Wei, Jianju Wang
Corresponding Author
Wei Wei
Available Online December 2018.
DOI
https://doi.org/10.2991/icedem-18.2018.30How to use a DOI?
Keywords
Social network; Online recruitment; Big data analysis process; Traditional online recruitment
Abstract
Nowadays, social networks has become a part of our lives. The value of early social networks was limited to the social world, and with the popularity of modern Internet thinking, social networks were given a considerable weight of business functions, more and more companies began to perform recruitment by social networks. In the process of mass recruitment information, big data technology has become an indispensable technical tool. This paper compares the new social network recruitment model in the big data era with the traditional online recruitment model, summarizes the advantages of social networking recruitment and the problems thereof. It further studies the specific application of big data in social network recruitment, and puts forward the challenges and suggestions of social network recruitment in the era of big data.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2018
ISBN
978-94-6252-642-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/icedem-18.2018.30How 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  - Wei Wei
AU  - Jianju Wang
PY  - 2018/12
DA  - 2018/12
TI  - Corporate Social Network Recruitment in the Age of Big Data
BT  - 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-18.2018.30
DO  - https://doi.org/10.2991/icedem-18.2018.30
ID  - Wei2018/12
ER  -