Human resources mining for examination of R&D progress and requirements

Özcan S., Okan Sakar C., Suloglu M.

IEEE Transactions on Engineering Management, vol.68, no.5, pp.1372-1387, 2021 (SCI-Expanded, SSCI, Scopus) identifier

  • Nəşrin Növü: Article / Article
  • Cild: 68 Say: 5
  • Nəşr tarixi: 2021
  • Doi nömrəsi: 10.1109/tem.2020.2995538
  • jurnalın adı: IEEE Transactions on Engineering Management
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Public Affairs Index, Civil Engineering Abstracts
  • Səhifə sayı: pp.1372-1387
  • Açar sözlər: Humanresources (HR) mining, Job advertisement analysis, Tech mining, Text mining
  • Açıq Arxiv Kolleksiyası: Məqalə
  • Adres: Bəli

Qısa məlumat

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 useHRmining with the purpose ofR&Dand 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 required, and investments are made by R&D-oriented companies. The results show that it is possible to identify sector-oriented skill requirements and that the significance of theR&Dskills varies. For the case of Turkey, we can clearly show the national human capital and R&D by identifying nine key clusters that indicate R&D progress and directions.