IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v70y2017icp391-394.html
   My bibliography  Save this article

Research note: Machinery, manumission, and economic machinations

Author

Listed:
  • Edwards, David J.
  • Pärn, Erika
  • Love, Peter E.D.
  • El-Gohary, Hatem

Abstract

This research note reports upon advancements in computerization and big data creation within the off-highway plant and machinery sector. A thematic literature review synthesizes a disparate range of research initiatives and industrial developments and highlights specific examples of technological developments. A discussion regarding impact upon future employment concludes that rather than creating mass unemployment, computerization will change the employment horizon and continue to shape the global economic community. Education is quintessentially important to humanity which must master the machine and not become a slave to technology. Future proofing of educational provisions will therefore feature heavily in tomorrow's employment market. This provocative research note advances new ideas and theoretical perspectives that are specifically designed to stimulate academic debate in this novel and rapidly developing area of scientific endeavor.

Suggested Citation

  • Edwards, David J. & Pärn, Erika & Love, Peter E.D. & El-Gohary, Hatem, 2017. "Research note: Machinery, manumission, and economic machinations," Journal of Business Research, Elsevier, vol. 70(C), pages 391-394.
  • Handle: RePEc:eee:jbrese:v:70:y:2017:i:c:p:391-394
    DOI: 10.1016/j.jbusres.2016.08.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296316304994
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2016.08.012?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    2. Asumadu, G. & Quaigrain, R. & Owusu-Manu, D. & Edwards, D.J. & Oduro-Ofori, E. & Dapaah, S.M., 2023. "Analysis of urban slum infrastructure projects financing in Ghana: A closer look at traditional and innovative financing mechanisms," World Development Perspectives, Elsevier, vol. 30(C).
    3. (Maggie) Fu, Xiaoqing & Bao, Qun & Xie, Hongjun & Fu, Xiaolan, 2021. "Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data," Journal of Business Research, Elsevier, vol. 122(C), pages 670-684.
    4. Oludolapo Ibrahim Olanrewaju & Ahmed Farouk Kineber & Nicholas Chileshe & David John Edwards, 2021. "Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    5. Mara Bergamaschi & Cristina Bettinelli & Elena Lissana & Pasquale Massimo Picone, 2021. "Past, ongoing, and future debate on the interplay between internationalization and digitalization," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 983-1032, December.
    6. Clotilde Coron, 2021. "Quantifying Human Resource Management: A Literature Review," Post-Print halshs-03212718, HAL.
    7. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2021. "Impact of robotics on manufacturing: A longitudinal machine learning perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).

    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:eee:jbrese:v:70:y:2017:i:c:p:391-394. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.