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Tytuł artykułu

Identification a priori of wild cards in the context of uncertain events in the modern logistics

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the article is theoretical characterization of wild cards as future surprising events from today's point of view difficult to anticipate, with a low probability of joining, a significant, negative or positive impact. There have been done the definitional analysis with examples and characterized wide range of conceptual substitutes. In addition, it was done and shown a real analysis of the wild cards in practical terms in selected areas of modern logistics, such as: 3D printing, augmented reality, Big Data, cloud logistics, Internet of Things, robotics & automation, self-driving vehicles, as drivers of the fourth industrial revolution. The implementation of these concepts requires appropriate tools of cooperation between the all parties, a new way of joining and merging of systems such as: manufacturing, shipping, transport, logistics, sales channels, service, etc. These phenomena are so new and complex, and therefore uncertain that require in-depth prospective analysis. One of them may be the identification and analysis of potential wild cards.
Rocznik
Strony
237--246
Opis fizyczny
Bibliogr. 21 poz., fig., tab.
Twórcy
autor
  • Bialystok University of Technology, Bialystok, Poland
Bibliografia
  • 1. Agami N.M.E., Omran A.M.A., Saleh M.M. & El-Shishiny H. (2008), An enhanced approach for trend impact analysis. Technological Forecasting and Social Change, 75, pp. 1439–1450.
  • 2. Aven T. (2015) Implications of black swans to the foundations and practice of risk assessment and management. Reliability Engineering and System Safety 134, pp. 83–91.
  • 3. Barber M. (2006) Wildcards – Signals from a Future Near You. Journal of Futures Studies August, 11(1): pp. 75–94.
  • 4. Burt G. (2007) Why are we surprised at surprises? Integrating disruption theory and system analysis with the scenario methodology to help identify disruptions and discontinuities. Technological Forecasting and Social Change, 74, pp. 731–749.
  • 5. Grzybowska K., Kovács G. & Lénárt B. (2014), The supply chain in cloud computing, Research in Logistics & Production Vol. 4, No. 1, pp. 33–44.
  • 6. Halicka K. (2016), Innovative classification of methods of the Future-oriented Technology Analysis. Technological and Economic Development of Economy 22(4), pp. 574–597.
  • 7. Hawking S.W. (1990), Krótka historia czasu. Od wielkiego wybuchu do czarnych dziur, Wyd. Zysk i S-ka, Poznań.
  • 8. Heller M. (2012), Filozofia przypadku, Copernicus Center Press.
  • 9. Heutger M. & Kückelhaus M. (2016), Logistics Trend Radar. Delivering insight today. Creating value tomorrow! Version 2016, DHL Customer Solutions & Innovation, Troisdorf, Germany.
  • 10. Hiltunen E. (2013), Foresight and Innovation: How Companies are Coping with the Future, Publisher: Palgrave Macmillan.
  • 11. Kononiuk A. & Magruk A. (2015), Wild cards in Polish foresight practice. Procedia – Social and Behavioral Sciences 213, pp. 951–956.
  • 12. Kotler P. & Caslione J.A. (2009), Chaos: zarządzanie i marketing w erze turbulencji, MT Biznes, Warszawa.
  • 13. Magruk. A. (2010), Słabe sygnały i dzikie karty – innowacyjne metody antycypacyjne. Ekonomia i Zarządzanie T.2, no. 4, pp. 126–136.
  • 14. Mendonca S., Cunha M.P., Kaivo-oja J. & Ruff F. (2004), Wild cards, weak signals and organizational improvisation. Futures 36, pp. 201–218.
  • 15. Mendonca S., Cunha M.P., Ruff F. & Kaivo-oja J. (2009), Venturing into the Wilderness Preparing for Wild Cards in the Civil Aircraft and Asset-Management Industries. Long Range Planning, 42, pp. 23–41.
  • 16. Petersen J.L. (2008), What they are and how they work, presentation at Wild Card Work-shop, The Arlington Institute.
  • 17. Saritas O. & Smith J. E. (2011), The Big Picture – trends, drivers, wild cards, discontinuities and weak signals. Futures 43, pp. 292–312.
  • 18. Stasiuk-Piekarska K. & Wyrwicka M.K. (2015), Organising – still an important function of production management. Research in Logistics & Production Vol. 5, No. 2, pp. 129–142.
  • 19. Steinmüller K. (2004), The future as Wild Card. A short introduction to a new concept, Ed. S. Brockett and M. Dahlström Spatial Development Trends Nordic Countries in a European Context, Nordregio, Stockholm, pp. 193–202.
  • 20. Szynkiewicz M. (2009), Teorie ostateczne w naukach przyrodniczych. Studium metodologiczne, Wydawnictwo Naukowe Wydziału Nauk Społecznych Uniwersytetu im. Adama Mickiewicza w Poznaniu, Poznań.
  • 21. Turczyński M. (2016), materiały prasowe firmy doradczej Deloitte zamieszczone na stronie http://www2.deloitte.com/, Warszawa, 18 kwietnia.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-906b7678-9c6d-4ece-b0bf-40dcf01754a9
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