Abstract
In online labor markets (OLMs), employers evaluate job applicants based on the published information in their profiles. In this study, we empirically investigate how applicants’ skill information as well as their previous experiences affect employers’ hiring decisions when considering the heterogeneity of online labor markets. We find that (1) employers prefer job applicants with more incongruent skills in low-skill industries, but not in high-skill industries; (2) job applicants’ experiences attenuate employers’ price sensitivity on making hiring decisions in both high-skill industries and low-skill industries. Our findings provide a different perspective from the prior literature on OLMs by considering the labor market heterogeneity, i.e. high-skill industries and low-skill industries. We also provide new insights into employers’ assessment on job applicants’ skill and experience information.
| Original language | English |
|---|---|
| Article number | 101025 |
| Journal | Electronic Commerce Research and Applications |
| Volume | 45 |
| Early online date | 19 Dec 2020 |
| DOIs | |
| Publication status | Published - Jan 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 Elsevier B.V.
Funding
This research is supported by the Hong Kong Innovation and Technology Commission [UIM/384], Hong Kong Research Grants Council [Grant 11509419], the National Natural Science Foundation of China [Grant 71850013], the National Natural Science Foundation of China [Grant 71532004], the National Natural Science Foundation of China [Grant 91846301], the Natural Science Foundation of Jiangxi, China [Grant 20194BCJ22019].
Keywords
- Applicant experiences
- Applicant skills
- Labor market heterogeneity
- Online labor markets
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