IDEAS home Printed from https://ideas.repec.org/a/abx/journl/y2026id1004.html

“Human Capital 5.0†: Synergy of Experience and Technology in the Context of Modern Transformation

Author

Listed:
  • A. Yaschuk

Abstract

This article explores the paradigm shift in human capital management amid the transition from “Industry 4.0†to “Industry 5.0†. It argues that modern technological transformation poses no threat of human displacement, but rather a catalyst for the emergence of “Human Capital 5.0†– a new sociotechnical model in which technologies, including artificial intelligence and collaborative robotics, act as a professional exoskeleton that expands workers’ cognitive and physical capabilities. Particular emphasis is placed on analyzing the synergy between accumulated professional experience and advanced digital tools. It is established that this synergy enables increasing productivity and inclusivity in the workplace, as well as the realization of the full potential of human capital, transforming employees into a key asset for calibrating and managing intelligent systems.

Suggested Citation

  • A. Yaschuk, 2026. "“Human Capital 5.0†: Synergy of Experience and Technology in the Context of Modern Transformation," Digital Transformation, Educational Establishment “Belarusian State University of Informatics and Radioelectronicsâ€, vol. 32(1).
  • Handle: RePEc:abx:journl:y:2026:id:1004
    DOI: 10.35596/1729-7648-2026-32-1-26-32
    as

    Download full text from publisher

    File URL: https://dt.bsuir.by/jour/article/viewFile/1004/379
    Download Restriction: no

    File URL: https://libkey.io/10.35596/1729-7648-2026-32-1-26-32?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guohua He & Xinnian Zheng & Wenpu Li & Ling Tan & Siying Chen & Yifan He, 2024. "The Mixed Blessing of Leaders’ Artificial Intelligence (AI)-oriented Change Behavior: Implications for Employee Job Performance and Unethical Behavior," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(2), pages 469-497, April.
    2. Battisti, Sandro & Agarwal, Nivedita & Brem, Alexander, 2022. "Creating new tech entrepreneurs with digital platforms: Meta-organizations for shared value in data-driven retail ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Md Musa Haque & Chandan Sheikder & Rodrigue Djembong & Md Tawsif Wahid Piash, 2023. "Retroactive about Robotics Application with Artificial Intelligence toward the Global Pandemic Scenario," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 7(2), pages 34-43, March.
    4. Seongjun Yang & Donghyun Kim, 2024. "Spatial distribution and characteristics of vulnerable occupations to artificial intelligence: cases from South Korea," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1079-1103, April.
    5. Seong-Uk Baek & Jin-Ha Yoon & Jong-Uk Won, 2022. "Association between Workers’ Anxiety over Technological Automation and Sleep Disturbance: Results from a Nationally Representative Survey," IJERPH, MDPI, vol. 19(16), pages 1-12, August.
    6. Fred Niederman & Elizabeth White Baker, 2023. "Ethics and AI Issues: Old Container with New Wine?," Information Systems Frontiers, Springer, vol. 25(1), pages 9-28, February.
    7. Agustí Segarra-Blasco & Josep Tomàs-Porres & Mercedes Teruel, 2025. "AI, robots and innovation in European SMEs," Small Business Economics, Springer, vol. 65(1), pages 719-745, June.
    8. Bughin, Jacques, 2025. "Corporate AI play and short term skill-biased AI change," Technology in Society, Elsevier, vol. 82(C).
    9. Anser, Muhammad Khalid & Adebayo, Tomiwa Sunday, 2026. "AI-driven renaissance: Revolutionizing technology through industrial artificial intelligence in European economies," Technology in Society, Elsevier, vol. 84(C).
    10. Rodríguez-Pose, Andrés & You, Zhuoying, 2024. "Bridging the Innovation Gap. AI and Robotics as Drivers of China’s Urban Innovation," CEPR Discussion Papers 19010, Centre for Economic Policy Research.
    11. Christou, Prokopis & Hadjielias, Elias & Simillidou, Aspasia & Kvasova, Olga, 2023. "The use of intelligent automation as a form of digital transformation in tourism: Towards a hybrid experiential offering," Journal of Business Research, Elsevier, vol. 155(PB).
    12. Becker, Marco & Daube, Carl Heinz & Reinking, Ernst, 2023. "Industrie 5.0," EconStor Preprints 270296, ZBW - Leibniz Information Centre for Economics.
    13. Zhisheng Chen, 2026. "Algorithmic human resource management as a mode of algorithmic governance: transparency, fairness, and human agency in the digital workplace," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-12, December.
    14. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    15. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
    16. Xiekui Zhang & Hongfei Zhu, 2023. "The Impact of Industrial Intelligence on Carbon Emissions: Evidence from the Three Largest Economies," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    17. Li, Zhe & Liu, Minggang & Wang, Lu, 2025. "Artificial intelligence development and rural labor employment quality," International Review of Economics & Finance, Elsevier, vol. 102(C).
    18. Haenlein, Michael & Kaplan, Andreas, 2021. "Artificial intelligence and robotics: Shaking up the business world and society at large," Journal of Business Research, Elsevier, vol. 124(C), pages 405-407.
    19. Lu Guo & Lei Wang & Fangyu Zhou & Mei Luo, 2026. "The High-Quality Employment Effects of Digital-Intelligent Economy: Evidence from the China Labor-Force Dynamics Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 181(3), pages 1-32, February.
    20. Lv, Xingyang & Shi, Kewei & He, Yueying & Ji, Yingchao & Lan, Tian, 2024. "My colleague is not “human”: Will working with robots make you act more indifferently?," Journal of Business Research, Elsevier, vol. 176(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abx:journl:y:2026:id:1004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ð ÐµÐ´Ð°ÐºÑ†Ð¸Ñ (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.