Skip to main content

Modeling Digital Business Strategy During Crisis

  • Conference paper
  • First Online:
Advances in Parallel & Distributed Processing, and Applications
  • 1198 Accesses

Abstract

COVID-19 is a major health, economic, and social crisis in the modern age. Even before the COVID-19 pandemic, digitization had changed the consumer behavior and habits, regulations, supply-side factors, demand-side factors, and costs of information structure and coordination. We have been experiencing shifts from physical interactions to digital interactions and transitioning from physical, predictable, and slow world into digital, virtual, fast, and agile world. COVID-19 will likely accelerate the digitization but will also force corporations to refine and possibly redefine their digital business strategies. Corporations have to address many questions about how to deal with the crisis in digital age and refine their digital business strategy while going through some transformations already. The main question is how corporations could navigate through this crisis when traditional economy and even digital economy assumptions and approaches do not necessarily apply. In this paper, we study how corporations could characterize the digital business strategy during crisis and devise a framework for how they could model and evaluate various strategic options. Due to so many complex dynamics involved and many uncertainties, we argue a layered intelligence framework that supports qualitative analysis that should be used to model the digital business strategy during crisis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 379.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. C.L. Pedersen, T. Ritter, C.A. Di Benedetto, Managing through a crisis: Managerial implications for business-to-business firms. Ind. Market. Manag. 88, 314–322 (2020). https://doi.org/10.1016/j.indmarman.2020.05.034. Epub 2020 Jun 5. PMCID: PMC7273163

    Article  Google Scholar 

  2. S. Yucel, Modeling digital transformation strategy, in 5th Annual Conference on Computational Science & Comp Intelligence (CSCI’18), 13–15 Dec 2018, Las Vegas, USA

    Google Scholar 

  3. S. Yucel, Estimating the benefits, drawbacks and risk of digital transformation strategy, in 5th Annual Conference on Computational Science & Comp Intelligence (CSCI’18), 13–15 Dec 2018, Las Vegas, USA

    Google Scholar 

  4. S. Yucel, Modeling digital business strategy, in 5th Annual Conf. on Computational Science & Computational Intelligence (CSCI’18), 13–15 Dec 2018, Las Vegas, NV, USA

    Google Scholar 

  5. McKinsey and Company, The economic essentials of digital strategy. http://www.mckinsey.com/business-functions/strategy-and-corporate-finance/our-insights/the-economic-essentials-of-digital-strategy

  6. D. Goerzig, T. Bauernhansl, Enterprise architectures for the digital transformation in small and medium-sized enterprises, Elsevier. Procedia CIRP 67, 540–545 (2018)

    Article  Google Scholar 

  7. S. Yucel, Delivery of digital services with network effects over hybrid cloud, in The 12th International Conference on Grid, Cloud, and Cluster Computing, GCC’16, 25–28 July 2016, Las Vegas, NV, USA

    Google Scholar 

  8. S. Yucel, Evaluating different alternatives for delivery of digital services, in The 12th International Conference on Grid, Cloud, and Cluster Computing, GCC’16, 25–28 July 2016, Las Vegas, NV, USA

    Google Scholar 

  9. S. Yucel, I. Yucel, A model for commodity hedging strategies, in The 13th Int. Conference on Modeling, Simulation and Visualization Methods (MSV’16), 25–28 July 2016, Las Vegas, USA

    Google Scholar 

  10. S. Yucel, I. Yucel, Estimating the cost of digital service delivery over clouds, in The 2016 International Symposium on Parallel and Distributed Computing and Computational Science (CSCI-ISPD), 15–17 Dec 2016, Las Vegas, NV, USA

    Google Scholar 

  11. S. Yucel, Smart community wireless platforms, in The 14th International Conference on Modeling, Simulation and Visualization Methods (MSV’17), 17–20 July 2017, Las Vegas, NV, USA

    Google Scholar 

  12. S. Yucel, Measuring benefits, drawbacks and risks of smart community wireless platforms, in The 14th Int Conference on Modeling, Simulation and Visualization Methods (MSV’17), 17–20 July 2017, Las Vegas, USA

    Google Scholar 

  13. S. Yucel, Estimating cost of smart community wireless platforms, in The 14th Int Conference on Modeling, Simulation and Visualization Methods (MSV’17), 17–20 July 2017 Las Vegas, USA

    Google Scholar 

  14. S. Yucel, Smart city wireless platforms for smart cities, in The 14th International Conference on Modeling, Simulation and Visualization Methods (MSV’17), 17–20 July 2017 Las Vegas, USA

    Google Scholar 

  15. S. Yucel, Evaluating enterprise mobility strategy, in 4th Annual Conference on Computational Science & Computational Intelligence (CSCI’17) | 14–16 Dec 2017, Las Vegas, NV, USA

    Google Scholar 

  16. S. Yucel, Estimating cost of enterprise mobility strategy, in 4th annual Conference on Computational Science & Computational Intelligence (CSCI’17), 14–16 Dec 2017, Las Vegas, NV, USA

    Google Scholar 

  17. S. Yucel, Modeling corporate social responsibility strategy, in CSCE'18 - The 2018 World Congress in Computer Science, Computer Engineering & Applied Computing, 30 July–02 Aug 2018, Las Vegas, USA

    Google Scholar 

  18. S. Yucel, Estimating cost of CSR strategy, in CSCE'18 - The 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing, 30 July–02 Aug 2018, Las Vegas, NV, USA

    Google Scholar 

  19. S. Yucel, Measuring benefits, drawbacks and risks of CSR strategy, in CSCE’18 – The 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing, 30 July–02 Aug 2018, Las Vegas, NV, USA

    Google Scholar 

  20. McKinsey and Company, The path to the next normal. https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Navigating%20the%20coronavirus%20crisis%20collected%20works/Path-to-the-next-normal-collection.pdf

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sakir Yucel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yucel, S. (2021). Modeling Digital Business Strategy During Crisis. In: Arabnia, H.R., et al. Advances in Parallel & Distributed Processing, and Applications. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-69984-0_69

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-69984-0_69

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69983-3

  • Online ISBN: 978-3-030-69984-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics