Methodology applied to managerial decision-making in the context of COVID-19

Authors

  • Mirella Bezerra Garcia Federal University of São Carlos
  • Renata Magalhaes Oliveira Fundação Centro Tecnológico de Minas Gerais
  • Mariusa Momenti Pitelli Federal University of São Carlos
  • Jose Vieira Federal University of São Carlos

DOI:

https://doi.org/10.1108/REGE-05-2021-0083

Keywords:

Scenario Planning, Multi-criteria Decision-Making, COVID-19

Abstract

Purpose – This paper aims to propose a methodology for managerial decision-making based on scenario planning and a multi-criteria approach.

Design/methodology/approach – The methodology consists of two stages, one referring to scenario planning, and the other to multi-criteria decision-making. The methodology was applied to a company in the Brazilian agribusiness sector, aiming to help managers face the current situation of the COVID-19 pandemic.

Findings – The proposal addresses a set of simple methods for developing a scenario analysis based on different approaches. Although the methodology may allow the future addition of new, perhaps more robust strategies, the purpose of the analysis is not only to tell the decision maker which strategy should be adopted, but also to provide greater knowledge about the problem and possible scenarios.

Originality/value - The contribution of this research is to propose a structured and easily applicable methodology that can help managers in the future planning of their companies, especially when faced with complex decisions and high level of uncertainty.

Downloads

Download data is not yet available.

References

Bell, D. E., Raiffa, H., & Tversky, A. (1988), Descriptive, normative, and prescriptive interactions in decision making, Cambridge University Press, Cambridge.

Bennedsen, M., Larsen, B, Schmutte, I; & Scur, D. (2020), “Preserving job matches during the COVID-19 pandemic: firm-level evidence on the role of government aid”, discussion paper series [No. 588], Global Labor Organization (GLO), 20 June.

Coates, B., Cowgill, M., Chen, T. & Mackey, W. (2020), “Shutdown: estimating the COVID-19 employment shock”, working paper, Grattan Institute.

Fernandes, N. (2020), “Economic Effects of Coronavirus Outbreak (COVID-19) on the World Economy”, IESE Business School Working Paper (WP-1240-E), available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3557504, (accessed 25 March 2021).

Gomes L.F.A.M., Gomes C. F.S., & Almeida A. T. (2009), Tomada de decisão gerencial–Enfoque multicritério. 3rd ed., Atlas, São Paulo.

Goodwin, P., & Wright, G. (2004), Decision Analysis for Management Judgment. 3rd ed., John Wiley & Sons Ltd, England.

Hamilton, M. C., Lambert, J. H., & Valverde Jr, L. J. (2015). Climate and Related Uncertainties Influencing Research and Development Priorities. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 1(2).

Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136.

Karvetski, C. W., Lambert, J. H., & Linkov, I. (2009). Emergent conditions and multiple criteria analysis in infrastructure prioritization for developing countries. Journal of Multi-Criteria Decision Analysis, 16(5‐6), 125-137.

Keeney, R. L., & Raiffa, H. (1976), Decisions with Multiple Objectives: Preferences and Value Tradeoff, Wiley, New York.

Klibi, W., & Martel, A. (2012). Scenario-based Supply Chain Network risk modeling. European Journal of Operational Research, 223(3), 644-658.

Korhonen, A. (2001). Strategic financial management in a multinational financial conglomerate: A multiple goal stochastic programming approach. European Journal of Operational Research, 128(2), 418-434.

Lempert, R. J., Groves, D. G., Popper, S. W., & Bankes, S. C. (2006). A General, Analytic Method for Generating Robust Strategies and Narrative Scenarios Management Science, 52(4), 514–528.

Martinez, L. J., Lambert, J. H., Karvetski, C. W. (2011). Scenario-informed multiple criteria analysis for prioritizing investments in electricity capacity expansion. Reliability Engineering and System Safety, 96(8), 883-89.

Mckibbin, W. J., & Fernando, R. (2020), “The Global Macroeconomic Impacts of COVID-19”: Seven Scenarios, CAMA Working Paper [No. 19], 2 March.

Montibeller, G., Gummer, H., & Tumidei, D. (2006). Combining scenario planning and multi‐criteria decision analysis in practice. Journal of Multi‐Criteria Decision Analysis, 14. (1‐3), 5-20.

Ram, C., Montibeller, G., & Morton, A. (2011). Extending the use of scenario planning and MCDA for the evaluation of strategic options. Journal of the Operational Research Society, 62 (5), 817-829.

Ritchey T (2006). Problem structuring using computer-aided morphological analysis. Journal of the Operational Research Society, 57: 792–801.

Rio-Chanona, R. M., Mealy, P., Pichler, A., Lafond, F., & Farmer, J.D. (2020). Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective, Oxford Review of Economic Policy, Issue, Supplement_1, 36, S94–S137.

Sadatsafavi, H., Kim, A. A., Anderson, S. D., & Bishop, P. (2019). Scenario Planning Application in US Highway Transportation Industry. Journal of Infrastructure Systems, 25 (2).

Schneider, S., Cassol, A., Leonardi, A., & Marinho, M. D. M. (2020). Os efeitos da pandemia da Covid-19 sobre o agronegócio e a alimentação. Estudos Avançados, 34, 167-188.

Schoemaker, P. J. (1995). Scenario planning: a tool for strategic thinking. Sloan management review, 36(2), 25-50.

Sharma, A., Adhikary, A., & Borah, S. B. (2020). Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data. Journal of Business Research, 117, 443-449.

Downloads

Published

2023-08-10

Issue

Section

Article

How to Cite

Methodology applied to managerial decision-making in the context of COVID-19. (2023). REGE Revista De Gestão, 30(3), 253-266. https://doi.org/10.1108/REGE-05-2021-0083