Empirical Analysis on Influencing Factors of Online Job Seeking

DOI

10.2991/iccessh-18.2018.241How to use a DOI?

Keywords

the number of online applications; online browsing; resume feedback rate; multiple linear regression; expectations theory

Abstract

The objective is to study the influence of online information on online job search, in particular, the influence of the number of times the job was viewed and the resume feedback rate of the job on the number of online applications for the job. [Methods] Based on the data of 8292 Shanghai cities and 3414 Chengdu areas of 58 cities in the same city, the author studied the influence of the number of visits and establishment of feedback rate on the number of online applications for this position by using multiple linear regression model combined with expectation theory. [Conclusion] Except basic salary, welfare and other content, the number of online job postings and the resume feedback rate of the position will also have a significant impact on the number of online applications for the position. Visible company hiring should also try to show such information to attract job seekers.

Copyright

© 2018, 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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TY  - CONF
AU  - Xinwen Cao
AU  - Fu He
AU  - Wanqing Ma
PY  - 2018/07
DA  - 2018/07
TI  - Empirical Analysis on Influencing Factors of Online Job Seeking
BT  - Proceedings of the 3rd International Conference on Contemporary Education, Social Sciences and Humanities (ICCESSH 2018)
PB  - Atlantis Press
SP  - 1069
EP  - 1073
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccessh-18.2018.241
DO  - 10.2991/iccessh-18.2018.241
ID  - Cao2018/07
ER  -