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The 4th Industrial Revolution

Author

Listed:
  • Mark Skilton

    (Warwick Business School)

  • Felix Hovsepian

Abstract

No abstract is available for this item.

Suggested Citation

  • Mark Skilton & Felix Hovsepian, 2018. "The 4th Industrial Revolution," Springer Books, Springer, number 978-3-319-62479-2, September.
    • Handle: RePEc:spr:sprbok:978-3-319-62479-2
    DOI: 10.1007/978-3-319-62479-2
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    Citations

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    Cited by:

    1. Gabriela Andrisan & Andra Modreanu, 2022. "Achieving Business Success in the Fourth Industrial Revolution: The Case of Procter & Gamble," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 482-490, September.
    2. Stanislav Ivanov, 2020. "The impact of automation on tourism and hospitality jobs," Information Technology & Tourism, Springer, vol. 22(2), pages 205-215, June.
    3. Vasile MAZILESCU, 2021. "Tourism Industry must benefit from IT&C Hyperautomation," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 97-106.
    4. Florentina Raluca Bilcan & Ionut Adrian Ghibanu & Ion Ionut Bratu & George Adrian Bilcan, 2019. "Risk and Uncertainty in Information Society," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 126-131, December.
    5. Adrian Nicolau, 2021. "Artificial Intelligence in Business: Present and Perspectives," Romanian Journal of Economics, Institute of National Economy, vol. 52(1(61)), pages 93-101, June.
    6. Michal Mizerák, 2019. "Comparison of Transitional Theories to Post-Scarcity in Science-Fiction Literature," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 5(1), pages 107-123.
    7. Chujie Tian & Jian Ma & Chunhong Zhang & Panpan Zhan, 2018. "A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network," Energies, MDPI, vol. 11(12), pages 1-13, December.
    8. Ping-Huan Kuo & Chiou-Jye Huang, 2018. "A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting," Energies, MDPI, vol. 11(1), pages 1-13, January.

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