作者
Sercan Ozcan, C Okan Sakar, Metin Suloglu
发表日期
2020/6/2
期刊
IEEE Transactions on Engineering Management
卷号
68
期号
5
页码范围
1372-1387
出版商
IEEE
简介
The amount of job advertisement data is rapidly growing, and this rich dataset is expected to have implications for the employment market, sector trajectories, and the education sector. Most significantly, human resources (HR) data has never previously been examined with the lens of tech mining for science and technology analyses. This article is the first to examine job advertisement data considering research and development (R&D) progress and requirements, and hereafter, we refer to this as HR mining. The aim of this article is to use HR mining with the purpose of R&D and human capital intelligence using the job advertisement data of Turkey for the 2015-2017 period. The method of this study follows classification as part of the preprocessing step to determine R&D, engineering, and high-tech industry-related job advertisements. Afterward, we use clustering methods to identify areas where key human capital is …
引用总数
20212022202320243753
学术搜索中的文章
S Ozcan, CO Sakar, M Suloglu - IEEE Transactions on Engineering Management, 2020