Decision Sciences for COVID-19: Learning Through Case Studies

This book provides best practices and optimization techniques for COVID-19 applications in decision sciences, business tactics, and behavioral sciences, focusing on theoretical and methodological investigations of managerial decisions and their impact on productivity and success. It is intended for researchers and practitioners seeking optimum solutions to real-life problems.

Format: Hardback
Length: 481 pages
Publication date: 01 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of best practices, encompassing a wide range of applications in decision sciences, business tactics, and behavioral sciences, specifically tailored to address the challenges posed by COVID-19. By focusing on concrete problems within these critical fields, it endeavors to conduct theoretical and methodological investigations into managerial decisions that drive the productivity and success of production and service enterprises. Furthermore, the book presents optimization techniques and tools that have the potential to be applied across various research areas after a thorough analysis of the specific problem at hand. With its intended audience of researchers and practitioners seeking optimal solutions to real-life problems in diverse COVID-19-related application domains, this resource aims to provide them with scientifically grounded decision-making capabilities.

Introduction:
The COVID-19 pandemic has brought about unprecedented challenges to societies worldwide. In response, there is an urgent need for effective strategies and solutions to combat the virus and its impact on various industries and sectors. This book aims to provide a comprehensive guide to best practices in decision sciences, business tactics, and behavioral sciences, specifically tailored to address the challenges posed by COVID-19.

Chapter 1:
Decision Sciences:
Decision sciences play a crucial role in shaping effective responses to COVID-19. This chapter explores the theoretical foundations of decision-making, including decision analysis, game theory, and risk management. It also discusses the application of these frameworks to address challenges such as resource allocation, supply chain management, and healthcare decision-making.

Chapter 2:
Business Tactics:
Business tactics are essential in navigating the challenges of COVID-19. This chapter examines the strategies and approaches adopted by businesses in different industries, such as healthcare, technology, and hospitality. It explores the role of innovation, adaptability, and resilience in sustaining business operations during the pandemic.

Chapter 3:
Behavioral Sciences:
Behavioral sciences shed light on the human factors that influence decision-making and behavior during the COVID-19 pandemic. This chapter explores the impact of emotions, social norms, and communication on public health and individual behavior. It also discusses the strategies for promoting healthy habits and behavior change.

Chapter 4:
Optimization Techniques and Tools:
Optimization techniques and tools are crucial in maximizing the efficiency and effectiveness of COVID-19 response efforts. This chapter discusses the application of optimization algorithms, such as linear programming and dynamic programming, to solve complex problems related to resource allocation, vaccine distribution, and contact tracing.

Conclusion:
In conclusion, this book offers a valuable resource for researchers, practitioners, and policymakers seeking to optimize their responses to COVID-19. By leveraging the expertise of decision sciences, business tactics, and behavioral sciences, we can develop effective strategies and solutions to combat the pandemic and its long-term consequences. The insights and recommendations provided in this book will contribute to building a more resilient and sustainable future.

Weight: 916g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030870188
Edition number: 1st ed. 2022