Abstract

This monograph presents a literature review of Strategic Decision Support Systems (SDSS) used in various fields such as transport, trade, logistics, medicine and education. The main objective of these systems is to provide information to decision makers to mitigate various influences. The chosen case study of this monograph is COVID-19 crisis management, which is an example that has an impact on sectors such as health, education, economy, the environment, and others. It aims to identify critical dependencies and how to develop efficient solutions. In particular, this monograph explores the problem of support for the strategic planning decision making during COVID-19 crisis management.

Strategic Support Systems for Crisis Management: A Literature Review

Strategic Support Systems for Crisis Management presents a literature review of Strategic Decision Support Systems (SDSS). The chosen SDSS case study is COVID-19 crisis management and its impact on sectors such as health, education, and the economy. This monograph addresses the following questions: What are the different architectures of defined Strategic DSS and which SDSS is better to deal with each crisis?

The monograph begins by discussing a comprehensive methodology for the literature review and providing an overview of the study background. Section 4 is devoted to discussing the most important studies in SDSS technologies. SDSS models are presented in Section 5. Section 6 explores the application of generative AI, and specifically ChatGPT, in the context of COVID-19 pandemic decision support systems. Section 7 provides a brief discussion of the conducted surveys. Finally, Section 8 summarizes the monograph and provides some concluding remarks.