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Incongruent skills and experiences in online labor market
Electronic Commerce Research and Applications ( IF 5.9 ) Pub Date : 2020-12-19 , DOI: 10.1016/j.elerap.2020.101025
Yan Fu , Nan Li , Juan Feng , Qiang Ye

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.



中文翻译:

在线劳动力市场的技能和经验不一致

在在线劳动力市场(OLM)中,雇主根据个人资料中发布的信息评估求职者。在这项研究中,我们在考虑在线劳动力市场的异质性时,以经验方式研究了申请人的技能信息以及他们以前的经历如何影响雇主的雇用决策。我们发现(1)雇主更喜欢低技能行业而不是高技能行业的应聘者;(2)应聘者的经历削弱了雇主在高技能行业和低技能行业做出雇用决定时的价格敏感性。通过考虑劳动力市场的异质性,即高技能行业和低技能行业,我们的发现提供了与先前有关OLM的文献不同的观点。

更新日期:2020-12-19
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