Abstract
The main purpose of this publication is an attempt to treat the phenomenon of uncertainty as one of the main research subjects in futures studies and not as the background for futures research – by answering the following research question: “What is the methodical relationship between the scope of the uncertainty phenomenon and the levels of knowledge and types of futures in the foresight approach?” This study uses the results of the analysis and criticism of the literature as the main research method. On this basis, deductive reasoning was carried out. Types of futures and the scope of uncertainty allowed to define the author's scale of knowledge levels are proposed. This paper has attempted to draw together three methodological fields: uncertainty, foresight, and knowledge. The author analyzed complex relations among the above areas on the basis of their characteristics, which are extensions of existing concepts available in the literature. In the author's opinion, conclusions from the results presented in this article can be a valuable contribution to the development of the area of of futures management. In the management of complex systems (such as Industry 4.0), from the foresight methodological point of view, it seems relevant to determine which specific uncertainties can be managed by which classes of foresight methods, and which foresight methods are determined by what level of knowledge. The results of the research presented in this publication may be used for creating a research methodology of technological foresight projects and as a complementary element of research devoted to the issues of the development of modern technologies, which include Industry 4.0.
References
Abood D., Quilligan A., Narsalay R. (2017) Industry X.0 Combine and Conquer: Unlocking the Power of Digital. Dublin: Accenture. Режим доступа: https:// www.accenture.com, дата обращения 11.12.2019.
Amara R. (1974) The futures field: Functions, forms, and critical issues // Futures. Vol. 6. № 4. P. 289-301. DOI: https://doi.org/10.1016/0016-3287(74)90072-X
Ansari F., Erol S., Sihn W. (2018) Rethinking Human-Machine Learning in Industry 4.0: How Does the Paradigm Shift Treat the Role of Human Learning? // Procedia Manufacturing. Vol. 23. P. 117-122.
Atherton J.S. (2013) Doceo. Knowing and not knowing. Режим доступа: http://www.doceo.org.uk/tools/knowing.htm, дата обращения 25.09.2019.
Aven T. (2010) On how to define, understand and describe risk // Reliability Engineering and System Safety. Vol. 95. № 6. P. 623-631.
Aven T. (2013) Practical implications of the new risk perspectives // Reliability Engineering and System Safety. № 115. P. 136-145.
Berezinski M., Holubiec J. (1981) Podejmowanie decyzji w warunkach niepewnosci informacyjnej [Decision making under conditions of information uncertainty] // Metody modelowania i optymalizacji systemow energetycznych w warunkach niepewnosci [Methods for modeling and optimization of energy systems in conditions of uncertainty] / Ed. W. Bojarski. Wroclaw: PAN, Ossolineum. P. 64-78 (in Polish).
Bojarski W. (1981) Zagadnienia nieokreslonosci wielkich systemow i niepewnosci [Indeterminacy issues of great systems and uncertainties] // Metody modelowania i optymalizacji systemow energetycznych w warunkach niepewnosci / Ed. W. Bojarski. Wroclaw: PAN, Ossolineum. P. 7-28 (in Polish).
Boker A. (2019) Industry 4.0: How Chatbot Data Analytics are Helping to Shape the Internet of Things within Telecommunications. Режим доступа: https://www.glassboxdigital.com/learn-about-chatbot-data-analytics/, дата обращения 01.10.2019.
Bombola P. (2014) Uogolniona niepewnosc zewnetrzna i wewnetrzna [General external and internal uncertainty] // Ekonomia i Zarzadzanie. Vol. 6. № 1. P. 127-141 (in Polish).
Brambilla M., Ferrante E., Birattari M., Dorigo M. (2013) Swarm robotics: A review from the swarm engineering perspective // Swarm Intelligence. Vol. 7. № 1. P. 1-41.
Buttazzo G. (2001) Artificial consciousness: Utopia or real possibility? // Computer. Vol. 34. № 7. P. 24-30.
Candy S. (2010) The futures of everyday life: Politics and the design of experiential scenarios. Honolulu, HI: University of Hawaii at Manoa.
Cardon A. (2006) Artificial consciousness, artificial emotions, and autonomous robots // Cognitive Processing. Vol. 7. № 4. P. 245-267.
Chodakowska E., Nazarko J. (2017) Environmental DEA method for assessing productivity of European countries // Technological and Economic Development of Economy. Vol. 23. № 4. P. 589-607.
Chrisley R. (2008) Philosophical foundations of artificial consciousness // Artificial Intelligence in Medicine. Vol. 44. № 2. P. 119-137.
Cividino S., Egidi G., Zambon I., Colantoni A. (2019) Evaluating the Degree of Uncertainty of Research Activities in Industry 4.0 // Future Internet. Vol. 11. № 9. Article 196. P. 1-21. Режим доступа: https://www.researchgate.net/publication/335765945_Evaluating_the_Degree_of_Uncertainty_of_Research_Activities_in_Industry_40/fulltext/5d7a43fca6fdcca980e1bbd6/Evaluating-the-Degree-of-Uncertainty-of-Research-Activities-in-Industry-40.pdf, дата обращения 24.01.2020.
Courtney H. (2001) 20/20 Foresight: Crafting strategy in an uncertain world. Boston, MA: Harvard Business Press.
Courtney H., Kirkland J., Viguerie P. (1997) Strategy under Uncertainty // Harvard Business Review. Vol. 75. № 6. P. 67-79.
Dilberoglu U.M., Gharehpapagh B., Yaman U., Dolen M. (2017) The role of additive manufacturing in the era of industry 4.0 // Procedia Manufacturing. Vol. 11. P. 545-554.
Funtowicz S.O., Ravetz J.R. (1990) Uncertainty and quality in science for policy. Heidelberg, New York, Dordrecht, London: Springer Science & Business Media.
Gawel B., Rebiasz B., Skalna I. (2015) Teoria prawdopodobienstwa i teoria mozliwosci w podejmowaniu decyzji inwestycyjnych [Probability theory and possibility theory in investment decision making] // Studia Ekonomiczne. Vol. 248. P. 62-79 (in Polish).
Gil-Pulgar J. (2016) Bitcoin: Welcome to the Fourth Industrial Revolution. Режим доступа: https://news.bitcoin.com/bitcoin-fourth-industrial-revolution/, дата обращения 15.10.2019.
Guimaraes Pereira A., von Schomberg R., Funtowicz S. (2006) Foresight knowledge assessment // International Journal of Foresight and Innovation Policy. Vol. 3. № 1. P. 53-75.
Guttman U., Papst J., Merlo R., Kane D., Bieser G., Grob O. (2017) Industry 4.0: What's Next. An SAP Point of View. SAP White Paper. Режим доступа: https://www.sap.com/documents/2017/05/bae613d3-b97c-0010-82c7-eda71af511fa.html, дата обращения 23.01.2020.
Hancock T., Bezold C. (1994) Possible futures, preferable futures // Healthcare Forum Journal. Vol. 37. № 2. P. 23-29.
Hariri R.H., Fredericks E.M., Bowers K.M. (2019) Uncertainty in big data analytics: Survey, opportunities, and challenges // Journal of Big Data. Vol. 6. № 1. Article 44 (online). Режим доступа: https://www.springerprofessional.de/content/pdfId/16778576/, дата обращения 24.01.2020. DOI: https://doi.org/10.1186/s40537-019-0206-3
Hawking S.W. (1988) A Brief History of Time: From the Big Bang to Black Holes. New York: Bantam Dell Publishing Group.
Heller M. (2016) Filozofia przypadku [Philosophy of Chance]. Krakow: Coperncus Center Press (in Polish).
Hermann M., Pentek T., Otto B. (2016) Design principles for industrie 4.0 scenarios // Proceedings of the 2016 49th Hawaii international conference on system sciences (HICSS). Piscataway, NJ: IEEE. P. 3928-3937.
Hofmann E., Rusch M. (2017) Industry 4.0 and the current status as well as future prospects on logistics // Computers in Industry. Vol. 89. P. 23-34.
Inayatullah S. (2008) Six pillars: Futures thinking for transforming // Foresight. Vol. 10. № 1. P. 4-21.
Jalonen H. (2012) The Uncertainty of Innovation: A Systematic Review of the Literature // Journal of Management Research. Vol. 4. № 1. P. 1-47. DOI: https://doi.org/10.5296/jmr.v4i1.1039
Janasz K. (2009) Ryzyko i niepewnosc w gospodarce - wybrane aspekty teoretyczne [Risk and Uncertainly in Economy - Choosen Theoretical Aspects] // Studia i Prace Wydzialu Nauk Ekonomicznych i Zarzadzania. Vol. 14. P. 87-98 (in Polish).
Jassova B. (2019) Chatbot Statistics Compilation 2019: The State of Market & Business Opportunities. Режим доступа: https://landbot.io/blog/chatbot-statistics-compilation/, дата обращения 29.09.2019.
Jedralska K., Czech A. (2011) O naturze niepewnosci i jej interpretacjach [The nature of uncertainty and its interpretations] // Master of Business Administration. Vol. 19. № 3. P. 9-18 (in Polish).
Jemala M. (2010) Evolution of foresight in the global historical context // Foresight. Vol. 12. № 4. P. 65-81.
Jenssen S. (2010) Foresight between uncertainty and convention: An ethnographic study of research policy foresight at the Research Council of Norway (PhD thesis). Oslo: University of Oslo.
Kaivo-oja J.Y., Katko T.S., Seppala O.T. (2004) Seeking convergence between history and futures research // Futures. № 36. P. 527-547.
Kononiuk A., Nazarko J. (2014) Scenariusze w antycypowaniu i ksztaltowaniu przyszlosci [Scenarios for anticipating and shaping the future]. Warszawa: Wolters Kluwer (in Polish).
Larsen S.C. (2006) The Future's Past: Politics of Time and Territory among Dakelh First Nations in British Columbia // Geografiska Annaler: Series B, Human Geography. Vol. 88. № 3. P. 311-321. Режим доступа: , дата обращения 19.01.2020. DOI: https://doi.org/10.1111/j.1468-0459.2006.00224.x
Lindley D.V. (2013) Understanding Uncertainty. Hoboken, NJ: John Wiley & Sons, Inc.
Lom M., Pribyl O., Svitek M. (2016) Industry 4.0 as a part of smart cities // Proceedings of the 2016 Smart Cities Symposium Prague (SCSP), 26-27 May 2016 / Ed. M. Koukol. Piscataway, NJ: IEEE. P. 22-27.
Magnus S. (2012) Exploratory or normative: New show. Adventure future // Stephmag. 27.02.2012. Режим доступа: http://adventurefuture.wordpress.com/2012/02/27/exploratory-or-normative-new-show/, дата обращения 14.10.2019.
Magruk A. (2011) Innovative classification of technology foresight methods // Technological and Economic Development of Economy. Vol. 17. № 4. P. 700-716.
Magruk A. (2013) Hybrid concept in foresight methodology. Paper presented at The XXIV ISPIM Conference - Innovating in Global Markets: Challenges for Sustainable Growth in Helsinki, Finland, 16-19 June 2013. Режим доступа: https://search.proquest.com/openview/bc729a2c014ecc2e2b45d0704766d8eb/1?pq-origsite=gscholar&cbl=1796422, дата обращения 16.01.2020.
Magruk A. (2015) The Most Important Aspects of Uncertainty in the Internet of Things Field - Context of Smart Buildings // Procedia Engineering. Vol. 122. P. 220-227.? DOI: https://doi.org/10.1016/j.proeng.2015.10.028
Magruk A. (2016) Uncertainty in the sphere of the industry 4.0 - potential areas to research // Business, Management and Education. Vol. 14. № 2. P. 275-291.
Magruk A. (2017a) Concept of uncertainty in relation to the foresight research // Engineering Management in Production and Services. Vol. 9. № 1. P. 46-55.
Magruk A. (2017b) Phenomenon of Uncertainty in the Process of Holistic Anticipation of Non-deterministic Reality // Procedia Engineering. Vol. 182. P. 434-442.
McIntosh D. (2010) The transhuman security dilemma // Journal of Evolution and Technology. Vol. 21. № 2. P. 32-48.
Muller N. (2008) The Web Expansion. From Web of Things to Web of Thoughts. Режим доступа: www.trendone.de, дата обращения 21.10.2019.
Nahavandi S. (2019) Industry 5.0 - A Human-Centric Solution // Sustainability. Vol. 11. № 16. Article 4371. P. 1-13. Режим доступа: https://www.researchgate.net/publication/335148344_Industry_50-A_Human-Centric_Solution, дата обращения 24.01.2020.
Nja O., Solberg O., Sverre Braut G. (2017) Uncertainty - Its Ontological Status and Relation to Safety // The Illusion of Risk Control. What Does it Take to Live With Uncertainty? / Eds. G. Motet, C. Bieder. Heidelberg, New York, Dordrecht, London: Springer. P. 5-21. Режим доступа: https://link.springer.com/chapter/, дата обращения 19.12.2019. DOI: https://doi.org/10.1007/978-3-319-32939-0_2
Passino K.M. (2005) Biomimicry for optimization, control, and automation. Heidelberg, New York, Dordrecht, London: Springer Science & Business Media.
Pieriegud J. (2015) Wykorzystanie megatrendow do analizy przyszlosciowego rozwoju sektorow gospodarki [Using megatrends to analyse the future development of economic sectors] // Megatrendy i ich wplyw na rozwoj sektorow infrastrukturalnych [Megatrends and their impact on the development of infrastructure sectors] (eds. J. Gajewski, W. Paprocki, J. Pieriegud), Gdansk: Instytut Badan nad Gospodarka Rynkowa - Gdanska Akademia Bankowa. P. 8-25 (in Polish).
Poli R. (2017) Introduction to Anticipation Studies. Vol. 1. Heidelberg, New York, Dordrecht, London: Springer International Publishing.
Refsgaard J.C., Arnbjerg-Nielsen K., Drews M., Halsn?s K., Jeppesen E., Madsen H., Markandya A., Olesen J.E., Porter J.R., Christensen J.H. (2013) The role of uncertainty in climate change adaptation strategies - A Danish water management example // Mitigation and Adaptation Strategies for Global Change. Vol. 18. № 3. P. 337-359.
Ringland G. (1998) Scenario planning: Managing for the future. Chichester: John Wiley & Sons.
Samecki W. (1967) Ryzyko i niepewnosc w dzialalnosci przedsiebiorstwa przemyslowego [Risks and uncertainties in the activity of an industrial enterprise]. Warszawa: Panstwowe Wydawnictwo Ekonomiczne (in Polish).
Saracco R. (2018) Disruptive Technologies beyond 2030 for Human Machine Interactions. Режим доступа: https://cmte.ieee.org, дата обращения 18.10.2019.
Sardar Z., Sweeney J.A. (2016) The three tomorrows of postnormal times // Futures. Vol. 75. P. 1-13.
Sarowski L. (2017) Od Internetu Web 1.0 do Internetu Web 4.0-ewolucja form przestrzeni komunikacyjnych w globalnej sieci [From Internet web 1.0 to Internet web 4.0 - the development of the communication space forms in the global network] // Rozprawy Spoleczne. Vol. 11. № 1. P. 32-39 (in Polish).
Schaeffer E. (2017) Industry X. 0: Realizing digital value in industrial sectors. Munchen: Redline Verlag.
Schwartz P. (2012) Winning in an Uncertain Future through Scenario Planning // Delivering Tomorrow, Logistics 2050, A Scenario Study, Bonn: Deutsche Post AG. P. 27-33.
Shepherd D.A., Suddaby R. (2017) Theory building: A review and integration // Journal of Management. Vol. 43. № 1. P. 59-86.
Skobelev P.O., Borovik S.Y. (2017) On the way from Industry 4.0 to Industry 5.0: From digital manufacturing to digital society // Industry 4.0. Vol. 2. № 6. P. 307-311.
Smithson M. (1989) Ignorance and uncertainty: Emerging paradigms. Heidelberg, New York, Dordrecht, London: Springer-Verlag.
Taylor C.W. (1990) Creating strategic visions. Carlisle: Strategic Studies Institute, US ArmyWar College, Carlisle Barracks.
UNDP (2018) Foresight Manual. Empowered Futures for the 2030 Agenda. Singapore: UNDP Global Centre for Public Service Excellence.
Van der Sluijs J.P. (1997) Anchoring amid uncertainty. On the management of uncertainties in risk assessment of anthropogenic climate change. Den Haag: CIF-Gegevens Koninklijke Bibliotheek.
Voros J. (2017) Big History and Anticipation // Handbook of Anticipation. Theoretical and Applied Aspects of the Use of Future in Decision Making / Ed. R. Poli. Heidelberg, New York, Dordrecht, London: Springer. P. 425-464. DOI: https://doi.org/10.1007/978-3-319-31737-3_95-1
Walker W.E., Harremoes P., Rotmans J., van der Sluijs J.P., van Asselt M.B., Janssen P., Krayer von Krauss M.P. (2003) Defining uncertainty: A conceptual basis for uncertainty management in model-based decision support // Integrated Assessment. Vol. 4. № 1. P. 5-17.
Watson R., Cupani A. (2018) Table of Disruptive-Technologies. London: Imperial College. Режим доступа: https://www.imperial.ac.uk/media/imperial-college/administration-and-support-services/enterprise-office/public/Table-of-Disruptive-Technologies.pdf, дата обращения 15.12.2019.
Wawiernia A. (2013) Taksonomia niepewnosci [Taxonomy of uncertainty] // Zarzadzanie i Finanse. Vol. 11. № 1/3. P. 445-454 (in Polish).
Соколов А., Чулок А. (2012) Долгосрочный прогноз научно-технологического развития России на период до 2030 года: ключевые особенности и первые результаты // Форсайт. T. 6. № 1. C. 12-25.
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