JOURNAL ARTICLE

FOR SOME TECHNOLOGY DRIVEN NOVELTIES IN THE INTERNATIONAL HUMAN RESOURCE MANAGEMENT.

  • Published In: Strategies for Policy in Science & Education / Strategii na Obrazovatelnata i Nauchnata Politika, 2025, v. 33, n. 3. P. 393 1 of 3

  • Database: Education Source Ultimate 2 of 3

  • Authored By: Zhivkova, Stela 3 of 3

Abstract

We live in a digital world. Nowadays, even the kids are well equipped with technology – phones, tablets, laptops, and interactive toys. In the international business world, technologies are quite applicable as well. They have changed and improved the way international companies do business nationally and internationally and influenced all business processes. This is valid not only for the production processes but also for the global human resource management activities. The paper outlines some of the most visible novelties that are found in international human resource management, thanks to technology development. The article’s main purpose is just to mark the main influences visible in the field of IHRM as part of the companies’ international business processes. The main methods are analysis and synthesis, literature summary, discussions and overviews. The paper is part of a larger empirical study dedicated to the influence of technology on the IHRM. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Strategies for Policy in Science & Education / Strategii na Obrazovatelnata i Nauchnata Politika. 2025/05, Vol. 33, Issue 3, p393
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2025
  • ISSN:13100270
  • DOI:10.53656/str2025-3-9-for
  • Accession Number:187653760
  • Copyright Statement:Copyright of Strategies for Policy in Science & Education / Strategii na Obrazovatelnata i Nauchnata Politika is the property of Az Buki National Publishing House and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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