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The Effect Of Technology Evolution On The Future Of Jobs

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  • Ayat Sami ODEIBAT

    (University of Debrecen, Faculty of Business and Economics, Károly Ihrig Doctoral School of Management and Business, Debrecen, Hungary)

Abstract

Organisations are integrating Artificial Intelligence applications and automation technologies into their businesses to gain benefits like cost reduction, long-term automation strategy development and efficiency improvement without putting less pressure on human resources and to enhance competitiveness and sustainability. The current situation has prompted vague futurity for the workforce and speeded up the future of jobs arrival. It has created fears of modern technologies causing job replacement or loss and a conspicuous increase in unemployment. This article investigates the effect of adopting AI application technologies and automation in the future of jobs. The study confronts the questions below: Will human resource management hire machines instead of people? How will technology affect the tasks and job roles? What is the impact of automation on employees? A set of previous studies has been reviewed. The results of these studies show many possible scenarios for the future of jobs: (1) routine jobs and those requiring lower skills will disappear and will be replaced by technologies; (2) a new structure will be developed for job roles and tasks that need more human-machine integration; (3) an advanced job opportunity will appear, especially the positions that require more creativity and highly technical skills.

Suggested Citation

  • Ayat Sami ODEIBAT, 2021. "The Effect Of Technology Evolution On The Future Of Jobs," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 17, pages 57-67, June.
  • Handle: RePEc:cmj:networ:y:2021:i:17:p:57-67
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    References listed on IDEAS

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    1. Camiña, Ester & Díaz-Chao, Ángel & Torrent-Sellens, Joan, 2020. "Automation technologies: Long-term effects for Spanish industrial firms," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Allen, Robert C., 2009. "Engels' pause: Technical change, capital accumulation, and inequality in the british industrial revolution," Explorations in Economic History, Elsevier, vol. 46(4), pages 418-435, October.
    3. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    4. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    5. Bontis, Nick & Dragonetti, Nicola C. & Jacobsen, Kristine & Roos, Göran, 1999. "The knowledge toolbox:: A review of the tools available to measure and manage intangible resources," European Management Journal, Elsevier, vol. 17(4), pages 391-402, August.
    6. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    7. Bilal HMOUD & Varallyai LASZLO, 2019. "Will Artificial Intelligence Take Over Humanresources Recruitment And Selection?," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 13, pages 21-30, July.
    8. Sigala, Marianna, 2020. "Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research," Journal of Business Research, Elsevier, vol. 117(C), pages 312-321.
    9. Ivanov, Stanislav & Kuyumdzhiev, Mihail & Webster, Craig, 2020. "Automation fears: Drivers and solutions," Technology in Society, Elsevier, vol. 63(C).
    10. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    11. Pur Purwanto & Kuswandi Kuswandi & Fatmah Fatmah, 2020. "Interactive Applications with Artificial Intelligence: The Role of Trust among Digital Assistant Users," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(2), pages 64-75.
    12. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    13. Sheehan, Ben & Jin, Hyun Seung & Gottlieb, Udo, 2020. "Customer service chatbots: Anthropomorphism and adoption," Journal of Business Research, Elsevier, vol. 115(C), pages 14-24.
    14. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    15. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    16. Ivanov, Stanislav Hristov & Kuyumdzhiev, Mihail & Webster, Craig, 2020. "Automation fears: drivers and solutions," SocArXiv jze3u, Center for Open Science.
    17. Novakova, Lucia, 2020. "The impact of technology development on the future of the labour market in the Slovak Republic," Technology in Society, Elsevier, vol. 62(C).
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    More about this item

    Keywords

    Artificial intelligence; Automation; Human Resources Management; Employment;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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