DARQ Technology as a Digital Transformation Strategy in Terms of Global Crises

• Authors: Jerzy Kisielnicki , Jan Zadrożny

Title variants

PL

Technologia DARQ jako strategia transformacji cyfrowej w warunkach globalnych kryzysów

Abstracts

PL

Cel: celem artykułu jest: (1) analiza technologii DARQ (Distributed ledger, Artificial Intelligence, Extended Reality, Quantum Computing) pod kątem jej zastosowań; (2) przeprowadzenie porównania tej technologiami z technologią SMAC (Social, Mobile, Analytics, Cloud). W artykule stawiamy tezę, że technologie DARQ mogą być pomocne do budowy systemów informatycznych mających na celu zarówno przewidywanie, jak i monitorowanie globalnych kryzysów. Uważamy, że zastosowanie technologii DARQ będzie w pierwszym okresie rozwoju wspomagać zarządzanie organizacjami sieciowymi. Metodologia: procedura badawcza składa się z następujących etapów: analizy literatury, przeprowadzenia badań jakościowych i ich prezentacji, uzyskanie opinii ekspertów oraz propozycje dalszych badań. Wyniki: efekty prac nad technologią DARQ wspomagającą systemy zarządzanie pozwoliły na ocenę jej użyteczności ze względu na spodziewane zarówno efekty, jak i sfery ryzyka zastosowania. Ograniczenia/implikacje badawcze: z powodu braku zastosowań praktycznych wszystkich elementów składających się na technologię DARQ analiza takich części składowych, jak Extended Reality (rzeczywistość wirtualna), Quantum Computing (technologia obliczeń wirtualnych) nie jest pełna i wymaga badań uzupełniających i pełniejszej analizy jej zastosowań. Artykuł traktujemy jako wstęp do szerszych badań. Oryginalność/wartość: uzasadniono tezę, iż przechodzenia z technologii SMAC do DARQ może odbywać się stopniowo. Obie te technologie są kompatybilne. Skutkować to może stopniowymi i bezkolizyjnym zmianami w jakości systemu zarządzania. Elementy nowej technologii DARQ, takie jak Distributed Ledger, Artificial Intelligence, Extended Reality, Quantum Computing pozwalają na skokowe zmiany zarówno w systemie zarządzania, jak i funkcjonowania organizacji. Już dziś poszczególne technologie DARQ silnie oddziałują na różne branże gospodarki. Należy jednak zwrócić uwagę, że obok pozytywów technologia DARQ stanowi również pewne zagrożenie. W artykule zawarto najważniejsze konkluzje płynące z badań oraz wskazano dalsze kierunki realizacji prac badawczych w tym zakresie.

EN

Purpose: The aim of the paper is (1) to analyze the DARQ (Distributed ledger, Artificial Intelligence, Extended Reality, Quantum Computing) technology in terms of its implementations and (2) to compare these technologies with the SMAC technology (Social, Mobile, Analytics, Cloud). We present the thesis that DARQ technologies can help in building information systems aimed at both predicting and monitoring global crises. We argue that the DARQ technology will support the management of network organizations in the first period of development. Design/methodology/approach: The research procedure consists of the following steps: literature analysis, conducting qualitative research and its presentation, obtaining expert opinions and recommendations for further research. Findings: The results of work on the DARQ technology that supports management systems allowed for the evaluation of usability both in terms of the expected effects and the areas of risk of application. Research limitations/implications: Due to the lack of practical applications of all the elements that make up the DARQ technology, the analysis of such components as Extended Reality (Virtual Reality), Quantum Computing (Virtual Computing Technology) is not complete and requires complementary research and a more complete analysis of its applications. We consider the presented work as an introduction to broader research. Originality/value: The thesis has been substantiated that the transition from SMAC to DARQ technology can be done gradually. Both of these technologies are compatible. This may result in gradual and collision-free changes in the quality of the management system. Elements of the new DARQ technology, such as Distributed ledger, Artificial Intelligence, Extended Reality and Quantum computing, allow for abrupt changes in both the management system and the functioning of the organization. Already today, each component of the DARQ technology has a significant impact on various sectors of the economy. However, it should be noted that apart from the positives, the DARQ technology also poses some threats. The article contains conclusions from the research and indicates a recommendation for further work, which concerns extending the application of DARQ technology to predict and monitor disasters and unpredictable events. To this end, we analyze the Black Swan theory (based on the COVID-19 pandemic case study) as the theoretical framework for the use of DARQ technology as a tool to reduce the occurrence of unpredictable events.

Keywords

EN

DARQ; SMAC; Black Swan Theory; COVID-19; digital transformation strategy

PL

DARQ; SMAC; teoria czarnego łabędzia; COVID-19; strategia transformacji cyfrowej

• Publisher: Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
• Journal: Problemy Zarządzania
• Year: 2021
• Volume: 19
• Issue: 3/2021 (93)
• Pages: 150-167

Dates

published

2021

Contributors

author

Jerzy Kisielnicki

• Faculty of Management, University of Warsaw, Poland

• https://orcid.org/0000000224517202

author

Jan Zadrożny

• Faculty of Management, University of Warsaw, Poland

• https://orcid.org/000000029796808X

References

• Abd-Alrazaq, A., Alajlani, M., Alhuwail, D., Schneider, J., Al-Kuwari, S., Shah, Z., … Househ, M. (2020). Artificial intelligence in the fight against COVID-19: Scoping review. DOI: 10.2196/20756.
• Abd-Alrazaq, A., Alajlani, M., Alhuwail, D., Erbad, A., Giannicchi, A., Shah, Z., … Househ, M. (2020). Blockchain technologies to mitigate COVID-19 challenges: A scoping review. Computer Methods and Programs in Biomedicine Update. DOI:10.1016/j.cmpbup.2020.100001.
• Accenture Technology Vision. (2019). 5 obszarów inwestycji. Magazyn Internetowy BRANDEN. Published on 2 March 2019 by Gustaw Kłuzda.
• Appleyard, B. (2009). Books that helped to change the world. The Sunday Times. Arslanian, H., & Fischer, F. (2019). Blockchain as an enabling technology. DOI: 10.1007/978-3-030-14533-0_10.
• Barro, R.J., Ursua, J.F., & Weng, J. (2020). The coronavirus and the great influenza epidemic – Lessons from the “Spanish flu” for the coronavirus’s potential effects on mortality and economic activity. CESifo Working Paper Series, 8166. CESifo.
• Benhayoun, L., & Boughzala, I. (2020). Caractérisation des risques d’usage des technologies digitales en vue d’une transformation digitale réussie: prémisses d’une étude exploratoire. AIM 2020: 25ème Conférence de l’Association Information & Management, juin 2020, Marrakech, Maroc. Evry, France: Institut Mines Télécom Business School. ffhal02830501f.
• Brem, A., Viardot, E., & Nylund, P.A. (2021). Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?. Technological Forecasting and Social Change, 163. DOI: 10.1016/j.techfore.2020.120451.
• Calvelo, M., Piñeiro, A., & Garcia-Fandino, R. (2020). An immersive journey to the molecular structure of SARS-CoV-2: Virtual reality in COVID-19. Computational and Structural Biotechnology Journal. DOI:18. 10.1016/j.csbj.2020.09.018.
• Chen, M., Herrera, F., & Hwang, K. (2018). Cognitive computing: architecture, technologies and intelligent applications. IEEE Access, 6, 19774–19783.
• COVID-19 HPC Consortium. (2020). The COVID-19 High Performance Computing Consortium. Retrieved on 12 January 2021 from https://covid19-hpc-consortium.org/.
• Cornelius, D. (2013). SMAC and transforming innovation. Paper presented at PMI® Global Congress 2013-North America, New Orleans, LA. Newtown Square, PA: Project Management Institute.
• Dewan, B., & Jena, S. (2014). The state-of-the-art of social, mobility, analytics and cloud computing – An empirical analysis. International Conference on High Performance Computing and Applications (ICHPCA). DOI: 10.1109/ICHPCA.2014.7045356.
• Doolani, S., Wessels, C., Kanal, V., Sevastopoulos, C., Jaiswal, A., Nambiappan, H., & Makedon, F. (2020). A review of extended reality (XR) technologies for manufacturing training. DOI:10.3390/technologies8040077.
• Dugstad, J., Eide, T., Nilsen, E. R., & Eide, H. (2019).Towards successful digital transformation through co-creation: A longitudinal study of a four-year implementation of digital monitoring technology in residential care for persons with dementia. BMC Health Services Research, 19(1), 366.
• Edwards, J., Duan, Y., & Robins, P. (2000) An analysis of expert systems for business decision making at different levels and in different roles. European Journal of Information Systems, 9(1), 36–46. DOI: 10.1057/palgrave.ejis.3000344.
• Gruska, J. (1999). Quantum computing (Vol. 2005). London: McGrawHill.
• Hackius, N., & Petersen, M. (2017). Blockchain in logistics and supply chain: Trick or treat?. In Proceedings of the Hamburg International Conference of Logistics (HICL). DOI: 10.15480/882.1444.
• He, W., Zhang, Z., & Li, W. (2021) Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic. International Journal of Information Management, 57. DOI: 10.1016/j.ijinfomgt.2020.102287.
• Kisielnicki, J. (2021). Teoria „Czarnego Łabędzia” a przewidywanie kryzysów i katastrof. Przegląd Organizacji (in press).
• Kisielnicki, J. (2017). Zarządzanie projektami badawczo-rozwojowymi. Warszawa: Nieoczywiste.
• Kisielnicki, J., & Sobolewska, O. (2018). Knowledge management and innovation in network organizations: Emerging research and opportunities. NY, London, Hershey: IGI Global.
• Kisielnicki, J. (2016), Zarządzanie i informatyka. Warszawa: Placet.
• Koolwal, N., & Khandelwal, S. (2020). The post-digital era is upon us. Are we ready for what’s next?. Retrieved on 15 January 2021 from https://www.researchgate.net/ publication/343713248.
• Li, H., Liu, S. M., Yu, X. H., Tang, S. L., & Tang, C. K. (2020). Coronavirus disease 2019 (COVID-19): Current status and future perspectives. International Journal of Antimicrobial Agents. DOI: 10.1016/j.ijantimicag.2020.105951.
• Lindhout, P., & Reniers, G. (2020). Reflecting on the safety zoo: Developing an integrated pandemics barrier model using early lessons from the Covid-19 pandemic. DOI: 10.1016/j. ssci.2020.104907.
• Marbouh, D., Abbasi, T., Maasmi, F., Omar, I. A., Debe, M. S., Salah, K., … Ellahham, S. (2020). Blockchain for COVID-19: Review, opportunities, and a trusted tracking system. Arabian Journal for Science and Engineering, 1–17. DOI: 10.1007/s13369- 020-04950-4.
• McKee, M., & Stuckler, D. (2020). If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future. Nat Med, 26, 640–642. DOI: 10.1038/s41591-020-0863-y.
• Milgram, P., & Kishino, F. (1994) A taxonomy of mixed reality visual displays. IEICE Trans. Inf. Syst., 77, 1321–1329.
• Minsky, M. L. (1968). Semantic information processing. Cambridge, MA: MIT Press.
• Mohammad, H., & Tayarani, N. (2020). Applications of artificial intelligence in battling against Covid-19: A literature review. Chaos, Solitons and Fractals. DOI: 10.1016/j. chaos.2020.110338.
• O’Leary, D. E. (2020). Evolving information systems and technology research issues for COVID-19 and other pandemics. Journal of Organizational Computing and Electronic Commerce. DOI: 10.1080/10919392.2020.1755790.
• Rosebrock, A. (2020). Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning. PyImageSearch. Retrieved on 14 January 2021 from https:// www.pyimagesearch.com/2020/03/16/detecting-covid-19-in-x-ray-images-with-kerastensorflow- and-deep-learning/.
• Sitarska-Buba, M. (2017). Systemy III platformy jako kolejny etap rozwoju systemów informatycznych wspierających przedsiębiorstwo. Informatyka Ekonomiczna, 3(45), 92–108. DOI: 10.15611/ie.2017.3.08.
• Sharma, K., & Manchikanti, P. (2020, October). Regulation of artificial intelligence in drug discovery and health care. Biotechnology Law Report, 39(5), 371–380. http://doi. org/10.1089/blr.2020.29183.ks.
• Swango, D.L. (2020). Black swans: When the impossible occurs. The Appraisal Journal, Spring.
• Taleb, N. N. (2007). The black swan: The impact of the highly improbable. London: Penguin/Allen Lane.
• University of Oxford. (2020). Digital contact tracing can slow or even stop coronavirus transmission and ease us out of lockdown. Retrieved on 14 January 2021 from https:// www.research.ox.ac.uk/Article/2020-04-16-digital-contact-tracingcan-slow-or-evenstop- coronavirus-transmission-and-ease-us-out-oflockdown.
• Whitelaw, S., Mamas, M., Topol, E., & Van Spall, H. (2020). Applications of digital technology in COVID-19 pandemic planning and response. The Lancet Digital Health. DOI: 10.1016/S2589-7500(20)30142-4.
• Wucker, M. (2016, April). The gray rhino: How to recognize and act on the obvious dangers we ignore. Macmillan, St. Martin’s Press. ISBN 9781250053824.
• Yash, Sehdev, V., & Verma, A. (2020). DARQ – Distributed ledger technology, artificial intelligence, extended reality and quantum computing. International Journal of Engineering Research & Technology (IJERT). Published by www.ijert.org, ENCADEMS Conference Proceedings. ISSN: 2278-0181.
• Ying, M. (2010). Quantum computation, quantum theory and AI. Artificial Intelligence, 174(2), 162–176.

Identifiers

DOI

10.7172/1644-9584.93.8

Biblioteka Nauki

2085418