IDEAS home Printed from https://ideas.repec.org/a/rom/mancon/v18y2024i1p241-251.html
   My bibliography  Save this article

A Glimpse Of The Future €“ Ai Coaching

Author

Listed:
  • Dragos-Daniel DENDRINO
  • Mugurel Petre PODARU
  • Razvan Catalin DOBREA

Abstract

AI rapidly grew in recent years and brought improvement in all fields of work that engaged this technology. It really changed our world and if we think about all the medical implications of AI use, we can say that AI really impacts our lives. Coaching also grew rapidly in recent years and impacted the business world in a very powerful way. What if AI could help with coaching? Is AI competent enough to be a good coach? Starting with these questions we wanted to see the image of the research published on AI Coaching, trends and structure. We believe that bibliographical analysis is appropriate for this study, and we used Web of Science Core Collection as the main database. Using Biblioshiny instruments and reports we discovered a moderate interest on the subject and still scarce study material although there is an increasing trend and a few instruments developed in order to measure the results of AI coaching.

Suggested Citation

  • Dragos-Daniel DENDRINO & Mugurel Petre PODARU & Razvan Catalin DOBREA, 2024. "A Glimpse Of The Future €“ Ai Coaching," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(1), pages 241-251, November.
  • Handle: RePEc:rom:mancon:v:18:y:2024:i:1:p:241-251
    DOI: 10.24818/IMC/2024/02.14
    as

    Download full text from publisher

    File URL: https://conference.management.ase.ro/archives/2024/PDF/2_14.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.24818/IMC/2024/02.14?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. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    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. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    2. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    3. Huang, Siyu & Shi, Yi & Chen, Qinghua & Li, Xiaomeng, 2022. "The growth path of high-tech industries: Statistical laws and evolution demands," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    4. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    5. Enrico Maria Fenoaltea & Dario Mazzilli & Aurelio Patelli & Angelica Sbardella & Andrea Tacchella & Andrea Zaccaria & Marco Trombetti & Luciano Pietronero, 2024. "Follow the money: a startup-based measure of AI exposure across occupations, industries and regions," Papers 2412.04924, arXiv.org, revised Dec 2024.
    6. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    7. Sharon Belenzon & Victor Manuel Bennett & Andrea Patacconi, 2019. "Flexible Production and Entry: Institutional, Technological, and Organizational Determinants," Strategy Science, INFORMS, vol. 4(3), pages 193-216, September.
    8. Burkhard Heer & Andreas Irmen & Bernd Süssmuth, 2023. "Explaining the decline in the US labor share: taxation and automation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(6), pages 1481-1528, December.
    9. David Kunst, 2019. "Deskilling among Manufacturing Production Workers," Tinbergen Institute Discussion Papers 19-050/VI, Tinbergen Institute, revised 30 Dec 2020.
    10. Dilip Mookherjee & Debraj Ray, 2022. "Growth, Automation and the Long-Run Share of Labor," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 1-26, October.
    11. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    12. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2022. "Robots and the origin of their labour-saving impact," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    13. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
    14. Jacob, Tinu Iype & Paul, Sunil, 2024. "Labour income share, market power and automation: Evidence from an emerging economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 37-45.
    15. Rude, Britta & Giesing, Yvonne, 2022. "Technological Change and Immigration - A Race for Talent or of Displaced Workers," VfS Annual Conference 2022 (Basel): Big Data in Economics 264093, Verein für Socialpolitik / German Economic Association.
    16. Canepa, Alessandra, "undated". "Two Decades On: Assessing the Impact of the Copenhagen Criteria on Environmental Performance in the 2004 EU Accession Countries," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202501, University of Turin.
    17. Mohamed Ali Marouani & Michelle Marshalian, 2020. "Winners and losers in industrial policy 2.0," WIDER Working Paper Series wp-2020-21, World Institute for Development Economic Research (UNU-WIDER).
    18. Philippe Aghion & Céline Antonin & Simon Bunel & Xavier Jaravel, 2020. "What Are the Labor and Product Market Effects of Automation? New Evidence from France," Post-Print hal-03384668, HAL.
    19. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
    20. Gries, Thomas & Naudé, Wim, 2022. "Modelling artificial intelligence in economics," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 56, pages 1-12.

    More about this item

    Keywords

    AI; bibliometric; coaching.;
    All these keywords.

    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:rom:mancon:v:18:y:2024:i:1:p:241-251. 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: Ciocoiu Nadia Carmen (email available below). General contact details of provider: https://edirc.repec.org/data/mnasero.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.