IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v17y2023i2p123.html
   My bibliography  Save this article

Towards Effective Mitigation of the Digital Transformation and COVID-19 Risk on Unemployment in Mobile Operators in Egypt

Author

Listed:
  • Ashraf Elsafty
  • Ahmed Elzeftawy

Abstract

The new era of Digital transformation will Destroy many tasks and will create new owns, only certain tasks will depend on human skills which was defined by Carl Benedikt Frey and Michael A. Osborne, 2013 in which they called it, the “Engineering-Bottlenecks. Other tasks also defined by Katharina Dengler, Britta Matthes and Wiebke Paulus, 2014 in which they use the assignment of activities explained by Alexandra Spitz-Oener for non-automatable tasks and categorize them as- analytical non-routine tasks, interactive non-routine tasks. To mitigate the Risk of Automation and AI, there is a need for Upskilling and Reskilling the current workforce to perform the un-automatable tasks, created from the development of new products and services as well as performing new complementary tasks created to support the new automated systems. The purpose of this paper is to examine whether the current Reskilling and Upskilling activities are organized in the right track to fill in the new created jobs, and whether they are making use of COVID-19, which gave a surplus of time by WFH and cutting the transportation time. The conclusion of this research is 38% of the existing tasks, is under the risk of automation and 51% of the employees more than 40% of their current tasks are subject to automation. COVID-19 through WFH can provide more time for learning and development. Reskilling and Upskilling of the current workforce will not be effective unless it is correlated with the new created jobs from introducing new products and services or complementary jobs for newly introduced automated systems as the new created jobs are mainly SW developers. The quantitative method used in this research is based on survey through questionnaires to a probability sample for 100 Engineers working in a technical department in Mobile Operator, and the Qualitative method is based on Structured interviews with a non-probability sample of Technology Managers, as Judgmental Sampling.

Suggested Citation

  • Ashraf Elsafty & Ahmed Elzeftawy, 2023. "Towards Effective Mitigation of the Digital Transformation and COVID-19 Risk on Unemployment in Mobile Operators in Egypt," International Journal of Business and Management, Canadian Center of Science and Education, vol. 17(2), pages 123-123, February.
    • Handle: RePEc:ibn:ijbmjn:v:17:y:2023:i:2:p:123
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijbm/article/download/0/0/46668/49860
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ijbm/article/view/0/46668
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the future of work: Macroeconomic consequences," ZEW Discussion Papers 19-024, ZEW - Leibniz Centre for European Economic Research.
    2. Béland, Louis-Philippe & Brodeur, Abel & Wright, Taylor, 2020. "The Short-Term Economic Consequences of COVID-19: Exposure to Disease, Remote Work and Government Response," GLO Discussion Paper Series 524, Global Labor Organization (GLO).
    3. Pouliakas, Konstantinos, 2018. "Determinants of Automation Risk in the EU Labour Market: A Skills-Needs Approach," IZA Discussion Papers 11829, Institute of Labor Economics (IZA).
    4. Alexandra Spitz-Oener, 2006. "Technical Change, Job Tasks, and Rising Educational Demands: Looking outside the Wage Structure," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 235-270, April.
    5. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    6. Zoltan Csefalvay, 2019. "What are the policy options? A systematic review of policy responses to the impacts of robotisation and automation on the labour market," JRC Working Papers on Corporate R&D and Innovation 2019-02, Joint Research Centre.
    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. Ashraf Elsafty & Ahmed Elzeftawy, 2021. "The New Era of Digital Transformation and COVID-19 Effect on The Employment in Mobile Operators in Egypt," Business and Management Studies, Redfame publishing, vol. 7(1), pages 74-99, March.
    2. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the Future of Work: Macroeconomic Consequences," IZA Discussion Papers 12428, Institute of Labor Economics (IZA).
    3. Hanno Lorenz & Fabian Stephany & Jan Kluge, 2023. "The future of employment revisited: how model selection affects digitization risks," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 323-350, May.
    4. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2020. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge [How Europe’s economies learn: a comparison of work organization and innovation mode for the EU-15]," Industrial and Corporate Change, Oxford University Press, vol. 29(6), pages 1345-1379.
    5. Goos, Maarten & Rademakers, Emilie & Röttger, Ronja, 2021. "Routine-Biased technical change: Individual-Level evidence from a plant closure," Research Policy, Elsevier, vol. 50(7).
    6. Thomsen, Stephan L, 2018. "Die Rolle der Computerisierung und Digitalisierung für Beschäftigung und Einkommen," Hannover Economic Papers (HEP) dp-645, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Blanas, Sotiris & Oikonomou, Rigas, 2023. "COVID-induced economic uncertainty, tasks and occupational demand," Labour Economics, Elsevier, vol. 81(C).
    8. Ronald Bachmann & Merve Cim & Colin Green, 2019. "Long‐Run Patterns of Labour Market Polarization: Evidence from German Micro Data," British Journal of Industrial Relations, London School of Economics, vol. 57(2), pages 350-376, June.
    9. Cnossen, Femke & Piracha, Matloob & Tchuente, Guy, 2021. "Learning the Right Skill: The Returns to Social, Technical and Basic Skills for Middle-Educated Graduates," GLO Discussion Paper Series 979, Global Labor Organization (GLO).
    10. Andrea Salvatori & Seetha Menon & Wouter Zwysen, 2018. "The effect of computer use on job quality: Evidence from Europe," OECD Social, Employment and Migration Working Papers 200, OECD Publishing.
    11. Wei Guo & Jing Wang & Yue Kang, 2024. "Internet use and inverted U-shaped employment polarization in tourism occupations," Tourism Economics, , vol. 30(2), pages 457-476, March.
    12. Jens Prüfer & Patricia Prüfer, 2020. "Data science for entrepreneurship research: studying demand dynamics for entrepreneurial skills in the Netherlands," Small Business Economics, Springer, vol. 55(3), pages 651-672, October.
    13. Consoli, Davide & Marin, Giovanni & Rentocchini, Francesco & Vona, Francesco, 2023. "Routinization, within-occupation task changes and long-run employment dynamics," Research Policy, Elsevier, vol. 52(1).
    14. Gregory, Terry & Salomons, Anna & Zierahn, Ulrich, 2016. "Racing With or Against the Machine? Evidence from Europe," VfS Annual Conference 2016 (Augsburg): Demographic Change 145843, Verein für Socialpolitik / German Economic Association.
    15. Per-Anders Edin & Tiernan Evans & Georg Graetz & Sofia Hernnäs & Guy Michaels, 2023. "Individual Consequences of Occupational Decline," The Economic Journal, Royal Economic Society, vol. 133(654), pages 2178-2209.
    16. Andreas Beerli & Ronald Indergand & Johannes S. Kunz, 2023. "The supply of foreign talent: how skill-biased technology drives the location choice and skills of new immigrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 36(2), pages 681-718, April.
    17. Lorenz, Hanno & Stephany, Fabian, 2018. "Back to the future: Changing job profiles in the digital age," Working Papers 13, Agenda Austria.
    18. Dauth, Wolfgang, 2014. "Job polarization on local labor markets," IAB-Discussion Paper 201418, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    19. Qiguo Gong, 2023. "Machine endowment cost model: task assignment between humans and machines," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    20. Guarascio, Dario & Gualtieri, Valentina & Quaranta, Roberto, 2018. "Does routinization affect occupation dynamics? Evidence from the ‘Italian O*Net’ data," MPRA Paper 89585, University Library of Munich, Germany.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:17:y:2023:i:2:p:123. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.