IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v32y2024i3d10.1007_s10100-023-00875-z.html
   My bibliography  Save this article

The use of machine learning techniques for assessing the potential of organizational resilience

Author

Listed:
  • Tomasz Ewertowski

    (Poznań University of Technology)

  • Buse Çisil Güldoğuş

    (Bahçeşehir University)

  • Semih Kuter

    (Çankırı Karatekin University)

  • Süreyya Akyüz

    (Bahçeşehir University)

  • Gerhard-Wilhelm Weber

    (Poznań University of Technology
    Middle East Technical University)

  • Joanna Sadłowska-Wrzesińska

    (Poznań University of Technology)

  • Elżbieta Racek

    (Poznań University of Technology)

Abstract

Organizational resilience (OR) increases when the company has the ability to anticipate, plan, make decisions, and react quickly to changes and disruptions. Thus the company should focus on the creation and implementation of proactive and innovative solutions. Proactive processing of information requires modern technological solutions and new techniques used. The main focus of this study is to propose the best technique of Machine Learning (ML) in the context of accuracy for predicting the attributes of the organizational resilience potential. Based on the calculations, the research includes estimating them through the applications of regression and machine learning methods. The dataset is obtained from the results of the our survey based on the questionnaire consisting of 48 items mainly established on OR attributes formed on ISO 22316:2017 standard. Based on the outcomes of the study, it can be stated that the optimal technique in the context of accuracy for predicting the attributes of the organizational resilience potential is ensemble methods. The k-nearest neighbor (KNN) filtering-based data pre-processing technique for stacked ensemble classifier is used. The stacking is achieved with three base classifiers namely Random Forest (RF), Naive Bayes (NB), and Support Vector Machine (SVM). The chosen ensemble method should be implemented in an organization systemically according to the circle of innovation, and should support the quality of managerial decision-making process by increasing the accuracy of organizational resilience potential prediction, and indication of the importance of attributes and factors affecting the potential for organizational resilience.

Suggested Citation

  • Tomasz Ewertowski & Buse Çisil Güldoğuş & Semih Kuter & Süreyya Akyüz & Gerhard-Wilhelm Weber & Joanna Sadłowska-Wrzesińska & Elżbieta Racek, 2024. "The use of machine learning techniques for assessing the potential of organizational resilience," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 685-710, September.
  • Handle: RePEc:spr:cejnor:v:32:y:2024:i:3:d:10.1007_s10100-023-00875-z
    DOI: 10.1007/s10100-023-00875-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10100-023-00875-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10100-023-00875-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gamze Nalcaci & Ayse Özmen & Gerhard Wilhelm Weber, 2019. "Long-term load forecasting: models based on MARS, ANN and LR methods," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1033-1049, December.
    2. Tomasz Ewertowski & Marcin Butlewski, 2021. "Development of a Pandemic Residual Risk Assessment Tool for Building Organizational Resilience within Polish Enterprises," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    3. Marion S. Rauner & Helmut Niessner & Steen Odd & Andrew Pope & Karen Neville & Sheila O’Riordan & Lisa Sasse & Kristina Tomic, 2018. "An advanced decision support system for European disaster management: the feature of the skills taxonomy," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 485-530, June.
    4. Tomasz Ewertowski & Marcin Butlewski, 2022. "Managerial Perception of Risk in an Organization in a Post-COVID-19 Work Environment," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    5. Tomasz Ewertowski, 2022. "A Standard-Based Concept of the Integration of the Corporate Recovery Management Systems: Coping with Adversity and Uncertainty during a Pandemic," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    6. Pierre Régibeau & Katharine Rockett, 2013. "Economic analysis of resilience: A framework for local policy response based on new case studies," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 107-147.
    7. Perrings, Charles, 2006. "Resilience and sustainable development," Environment and Development Economics, Cambridge University Press, vol. 11(4), pages 417-427, August.
    8. Tereza Sedlářová Nehézová & Michal Škoda & Robert Hlavatý & Helena Brožová, 2022. "Fuzzy and robust approach for decision-making in disaster situations," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 617-645, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomasz Ewertowski & Marcin Butlewski, 2022. "Managerial Perception of Risk in an Organization in a Post-COVID-19 Work Environment," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    2. Bardsley, Douglas K. & Bardsley, Annette M., 2014. "Organising for socio-ecological resilience: The roles of the mountain farmer cooperative Genossenschaft Gran Alpin in Graubünden, Switzerland," Ecological Economics, Elsevier, vol. 98(C), pages 11-21.
    3. Jurek, Kinga, 2023. "Wpływ Szoków Ekonomicznych i Środowiskowych na Polskie Gospodarstwa Rolne w Latach 2010-2019," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2023(4).
    4. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    5. Khalilullah Mayar & David G. Carmichael & Xuesong Shen, 2022. "Resilience and Systems—A Review," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    6. Diego R. Toubes & Noelia Araújo-Vila & Arthur Filipe Araújo & José Antonio Fraiz-Brea, 2023. "Resilience and individual competitive productivity: the role of age in the tourism industry," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    7. Immanuel Bomze & Karl F. Dörner & Richard F. Hartl & Ulrike Leopold-Wildburger & Georg Pflug & Marion Rauner & Christian Stummer & Gernot Tragler & Tina Wakolbinger, 2018. "Emerging and innovative OR applications: a special issue in honor of Walter J. Gutjahr," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(2), pages 259-263, June.
    8. Doris A. Behrens & Marion S. Rauner & Margit Sommersguter-Reichmann, 2022. "Why Resilience in Health Care Systems is More than Coping with Disasters: Implications for Health Care Policy," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 465-495, December.
    9. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    10. Mahdi Anbari Moghadam & Morteza Bagherpour, 2024. "A framework to assess and report social, environmental, and economic post-disaster damages based on Z-numbers and the Delphi method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(15), pages 14459-14494, December.
    11. Fahimnia, Behnam & Jabbarzadeh, Armin, 2016. "Marrying supply chain sustainability and resilience: A match made in heaven," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 306-324.
    12. Zinetullina, Altyngul & Yang, Ming & Khakzad, Nima & Golman, Boris & Li, Xinhong, 2021. "Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    13. Barrett, Christopher B. & Ghezzi-Kopel, Kate & Hoddinott, John & Homami, Nima & Tennant, Elizabeth & Upton, Joanna & Wu, Tong, 2021. "A scoping review of the development resilience literature: Theory, methods and evidence," World Development, Elsevier, vol. 146(C).
    14. Hammad Mahmoud A. & Jereb Borut & Rosi Bojan & Dragan Dejan, 2020. "Methods and Models for Electric Load Forecasting: A Comprehensive Review," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 51-76, February.
    15. Batabyal, Amitrajeet & Kourtit, Karima, 2021. "An Analysis of Resilience in Complex Socioeconomic Systems," MPRA Paper 105197, University Library of Munich, Germany, revised 08 Jan 2021.
    16. Magdalena Majchrzak & Piotr Szczypa & Krzysztof Adamowicz, 2022. "Supply of Wood Biomass in Poland in Terms of Extraordinary Threat and Energy Transition," Energies, MDPI, vol. 15(15), pages 1-22, July.
    17. Pierre Régibeau & Katharine Rockett, 2013. "Economic analysis of resilience: A framework for local policy response based on new case studies," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 107-147.
    18. Bergsma, Emmy & Gupta, Joyeeta & Jong, Pieter, 2012. "Does individual responsibility increase the adaptive capacity of society? The case of local water management in the Netherlands," Resources, Conservation & Recycling, Elsevier, vol. 64(C), pages 13-22.
    19. Musson, Anne, 2012. "The build-up of local sustainable development politics: A case study of company leaders in France," Ecological Economics, Elsevier, vol. 82(C), pages 75-87.
    20. Gheorghe-Cosmin Manea & Andreea Cozea, 2021. "Resilience And Strategies Of Regional Development In Crisis Times," Romanian Economic Business Review, Romanian-American University, vol. 16(3), pages 38-45, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:cejnor:v:32:y:2024:i:3:d:10.1007_s10100-023-00875-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.