IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024i67p721.html
   My bibliography  Save this article

Leveraging Neuroleadership and Adopting AI to Improve Human Capital Development in IT&C Business Organisations

Author

Listed:
  • Roxana-Maria Staneiu

    (National School of Political and Administrative Studies, Bucharest, Romania)

  • Madalina-Elena Stratone

    (National School of Political and Administrative Studies, Bucharest, Romania)

  • Dan-Cristian Dabija

    (Babe?-Bolyai University, Cluj-Napoca, Romania)

  • Pompei Mititean

    (National School of Political and Administrative Studies, Bucharest, Romania)

Abstract

This paper aims to explore how business organisations in the Romanian IT&C sector strategically implement neuro-leadership principles to accelerate the adoption and implementation of artificial intelligence (AI) technologies, thus enhancing human capital development and promoting sustainable competitive advantages. Applying the focus group method, dynamic discussions were held with 10 representatives of Romanian IT&C companies to highlight how these business organisations strategically implement neuro-leadership principles and adopt AI technologies in human capital management. The results of the research, divided into four main themes, reveal the importance of neuroleadership in improving employee competencies as well as overcoming the challenges associated with implementing AI in organisations. Research provides new and relevant insights for leaders in business organisations to effectively adapt to the complexity of technological change caused by AI adoption in human resource management. At the same time, the results reveal the importance of fostering a culture of continuous learning and development to harness the potential benefits of AI, while mitigating the risks associated with this approach. The originality of the paper is derived from the merging of the fields of leadership, neuroscience, and AI, thus providing a comprehensive understanding of the dynamics shaping organisational responses to technological innovation. The research addresses a notable gap in the literature by exploring concrete strategies to accelerate AI adoption through neuroleadership principles, enriching the literature on this multidimensional relationship.

Suggested Citation

  • Roxana-Maria Staneiu & Madalina-Elena Stratone & Dan-Cristian Dabija & Pompei Mititean, 2024. "Leveraging Neuroleadership and Adopting AI to Improve Human Capital Development in IT&C Business Organisations," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 721-721, August.
  • Handle: RePEc:aes:amfeco:v:26:y:2024:i:67:p:721
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3333.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wilder Quintero-Quintero & Ana Beatriz Blanco-Ariza & Manuel Alfonso Garzón-Castrillón, 2021. "Intellectual Capital: A Review and Bibliometric Analysis," Publications, MDPI, vol. 9(4), pages 1-23, October.
    2. Raquel Ruiz-Rodríguez & Marta Ortiz-de-Urbina-Criado & Rafael Ravina-Ripoll, 2023. "Neuroleadership: a new way for happiness management," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    3. Irina Dijmãrescu & Mariana Iatagan & Iulian Hurloiu & Marinela Geamãnu & Ciprian Rusescu & Adrian Dijmãrescu, 2022. "Neuromanagement decision making in facial recognition biometric authentication as a mobile payment technology in retail, restaurant, and hotel business models," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 225-250, March.
    4. Ruiqi Wei & Catherine Pardo, 2022. "Artificial intelligence and SMEs : How can B2B SMEs leverage AI platforms to integrate AI technologies?," Post-Print hal-04325639, HAL.
    5. Nir Kshetri, 2021. "Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence," Management Research Review, Emerald Group Publishing Limited, vol. 44(7), pages 970-990, January.
    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. Abeer Al-Khoury & Sahraa Anwer Hussein & Muthana Abdulwhab & Zainab M. Aljuboori & Hossam Haddad & Mostafa A. Ali & Ibtihal A. Abed & Hakeem Hammood Flayyih, 2022. "Intellectual Capital History and Trends: A Bibliometric Analysis Using Scopus Database," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
    2. Deepa, R. & Sekar, Srinivasan & Malik, Ashish & Kumar, Jitender & Attri, Rekha, 2024. "Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    3. Howells, Jeremy, 2024. "Innovation intermediaries in a digital paradigm: A theoretical perspective," Technovation, Elsevier, vol. 129(C).
    4. Harald Konnerth, 2023. "The Potential Of Ai In B2b E-Commerce: A Structured Literature Review," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 17(1), pages 114-133.
    5. Elvira Nica & Gheorghe H. Popescu & Milos Poliak & Tomas Kliestik & Oana-Matilda Sabie, 2023. "Digital Twin Simulation Tools, Spatial Cognition Algorithms, and Multi-Sensor Fusion Technology in Sustainable Urban Governance Networks," Mathematics, MDPI, vol. 11(9), pages 1-25, April.
    6. Alexandru-Silviu Goga & Zsolt Toth & Mihai-Alin Meclea & Ionela-Roxana Puiu & Mircea Boșcoianu, 2024. "The Proliferation of Artificial Intelligence in the Forklift Industry—An Analysis for the Case of Romania," Sustainability, MDPI, vol. 16(21), pages 1-25, October.
    7. Carolina Navarro-Lopez & Salvador Linares-Mustaros & Carles Mulet-Forteza, 2022. "“The Statistical Analysis of Compositional Data†by John Aitchison (1986): A Bibliometric Overview," SAGE Open, , vol. 12(2), pages 21582440221, April.
    8. Łukasz Kański & Jan Chadam & Grzegorz Kłosowski, 2022. "Intellectual Capital: A New Predictive Indicator for Project Management Improvement," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    9. Tomasz Sierotowicz, 2022. "Sources of Intellectual Capital Acquisition," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    10. Björn Sven Ivens & Catherine Pardo & Ruiqi Wei, 2024. "Exclusion and inclusion on business markets : Impacts of the Internet-Of-Things (IoT)," Post-Print hal-04742811, HAL.
    11. Penghu Zhu & Yingying Hu & Ning Zhang, 2024. "How does civilization promote happiness? Insights from the Civilized Cities Program in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    12. Ali Nawaz Khan & Khalid Mehmood & Ahsan Ali, 2024. "Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4849-4861, September.

    More about this item

    Keywords

    neuro-leadership; neuro-leaders; human capital; artificial intelligence (AI); artificial intelligence technologies; employees; and business organisations;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:aes:amfeco:v:26:y:2024:i:67:p:721. 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: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    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.