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The effect of the fourth industrial revolution economies and management

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dc.title The effect of the fourth industrial revolution economies and management en
dc.contributor.author Vlasov, Vladyslav
dc.contributor.author Chromjaková, Felicita
dc.relation.ispartof Springer Proceedings in Business and Economics
dc.identifier.issn 2198-7246 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-74215-1
dc.date.issued 2018
dc.citation.spage 541
dc.citation.epage 549
dc.event.title 1st International Conference on Social, economic, and academic leadership for the future sustainable development of business and education, 2017
dc.event.location Praha
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2017-09-12
dc.event.edate 2017-09-15
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Science and Business Media B.V.
dc.identifier.doi 10.1007/978-3-319-74216-8_54
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-74216-8_54
dc.description.abstract The fourth industrial era (or Industry 4.0) refers to the recent trend of massive data collection, analysis and communication with intense process automation. Massive studies have been conducted in this field, though with the main focus on technical details, hardware and software. There still remains a considerable gap in the analysis of potential effects of the Fourth Industrial Revolution on economies and management. According to recent studies, from 45% to 60% of jobs around the globe are at risk of being automated or computerised. Despite the fact the new jobs such as automation engineers, programmers, data analysts and others are being created, the economies would get significant amount of workforce lacking necessary qualifications. A casual model that shows the effect of the increasing automation on economies has been developed and discusses potential implications. The paper suggests that economies and organisations would have to adopt “Algorithmic Management” to remain competitive in the new digital environment. © 2018, Springer International Publishing AG, part of Springer Nature. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1010889
utb.identifier.obdid 43878198
utb.identifier.scopus 2-s2.0-85071851152
utb.source d-scopus
dc.date.accessioned 2022-03-21T08:23:44Z
dc.date.available 2022-03-21T08:23:44Z
utb.contributor.internalauthor Vlasov, Vladyslav
utb.contributor.internalauthor Chromjaková, Felicita
utb.fulltext.affiliation V. Vlasov (✉) · F. Chromjaková Tomas Bata University, Zlin, Czech Republic e-mail: [email protected]; [email protected]
utb.fulltext.dates -
utb.fulltext.references Bowles J (2014) The computerisation of European jobs. Who will win and who will lose from the impact of new technology onto old areas of employment? http://www.bruegel.org/nc/blog/detail/article/1394-the-computerisation-of-european-jobs/. Accessed 20 Jun 2017 Brynjolfsson E, McAfee A (2012) Race against the machine: how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy. http://digital.mit.edu/research/briefs/brynjolfsson_McAfee_Race_Against_the_Machine.pdf. Accessed 10 Nov 2017 David H (2015) Why are there still so many jobs? The history and future of workplace automation. J Econ Perspect 29(3):3–30 Free exchange (2017) Why taxing robots is not a good idea? The Economist. https://www.economist.com/news/finance-and-economics/21717374-bill-gatess-proposal-revealing-aboutchallenge-automation-poses-why-taxing. Accessed 20 Aug 2017 Frey CB, Osborne MA (2017) The future of employment: how susceptible are jobs to computerization? Technol Forecast Soc Chang 114:254–280. https://doi.org/10.1016/j.techfore.2016.08.019 Gada K (2016) The Accelerating TechnOnomic Medium (ATOM). http://atom.singularity2050.com. Accessed 18 Aug 2017 Laloux F (2014) Reinventing organizations: a guide to creating organizations inspired by the next stage in human consciousness. Nelson Parker, Brussels Marcolin L, Miroudot S, Squicciarini M (2016) Routine jobs, employment and technological innovation in global value chains, OECD Science, Technology and Industry Working Paper No. 2016/01. OECD Publishing, Paris Pearl J (2009) Causal inference in statistics: an overview. Stat Surv 3:96–146 Research paper: Whitepaper – Industry 4.0: From vision to implementation. Available from https://www.researchgate.net/publication/281447305_Whitepaper-_Industry_40_From_vision_to_implementation (05.04.2017) Scheer AW (2015) Industry 4.0: from vision to implementation. Whitepaper Number 5, AugustWilhelm Scheer Institute for Digital Products and Processes, Scheer GMBH, Saarbruecken, Germany. https://www.researchgate.net/publication/281447305_Whitepaper_-_Industry_40_From_vision_to_implementation. Accessed 29 Oct 2017 Schwab K (2016) The 4th industrial revolution: what it means, how to respond. GE Reports. http://www.ge.com/reports/the-4th-industrial-revolution-what-it-means-how-to-respond/. Accessed 9 Aug 2017 Varoufakis Y (2017) A tax on robots? https://www.project-syndicate.org/commentary/bill-gatestax-on-robots-by-yanis-varoufakis-2017-02 Accessed 19 Jul 2017 Weller C (2017) Bill Gates opinion on basic income. Business Insider, UK. http://uk.businessinsider.com/bill-gates-basic-income-2017-2?r. Accessed 22 Jul 2017 Zwolinski M (2010) Classical liberalism and the basic income. Int J Basic Income Res 6(2):1–14
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utb.scopus.affiliation Tomas Bata University, Zlin, Czech Republic
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utb.fulltext.faculty Faculty of Management and Economics
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