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Purpose: The study aims to analyse and discuss the effect of COVID-19 on businesses. The chapter discusses the various machine learning (ML) tools and techniques, which can help in better decision making by businesses in the present world.

Need for the Study: COVID-19 has increased the role of VUCA elements in the business environment, and there is a need to address the challenges faced by businesses in such environment. ML and artificial learning can help businesses in facing such challenges.

Methodology: The focus and approach of the chapter are in the context of using artificial intelligence (AI) and ML techniques for decision making during the COVID-19 pandemic in a VUCA business environment.

Findings: The key findings and their implications emphasise the importance of understanding and implementing AI and ML techniques in business strategies during times of crisis.

Practical Implications: The chapter’s content is in the context of using AI and ML techniques during the COVID-19 pandemic and in a VUCA business environment.

Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.

The COVID-19 has affected millions of people across the world and worsened the socio-economic conditions that have sound reasons to discuss about the impact of COVID-19 on the progress of achieving the target level of sustainable development. The stagflation due to COVID-19 has a possibility to push a large section of population back under the critical level of income. The economic restriction and lockdown has impacted on the supply of food and essential requirements for decent living. The health services and education have been jeopardised. So the possible impact to achieving the Sustainable Development Goals of no poverty (SDG1), zero hunger (SDG2), good health and wellbeing (SDG3), education (SDG4), decent work and economic growth (SDG8), income inequality (SDG10) are examined in this chapter. This chapter also discusses about the proper implementation and stress on SDGs as the possible instruments on the way out of recession. Difference-in-difference analysis is used to explain the impact of COVID-19 with the data in global context in respect of before COVID and after COVID.

It has been already established that the countries that have opened their economies in advance have reaped more benefits compared to those who have done it late. For example, the countries of the West are far away from the countries of the East in terms of the per capita incomes as because, besides others, the magnitudes of trade openness of the former are higher compared to that of the latter. Besides countries, there are some economic groups such as European Union, Organization of Economic Cooperation and Development (OECD), etc. who have proved the similar growth impacts of trade. There is another group of highly developing economies, with the acronym of BRICS (Brazil, Russia, India, China and South Africa), which has proved as being highly beneficiaries of the trade liberalisation. But the magnitudes of trade openness and their impacts in these countries are subject to further explorations using modern data. The present chapter aims to compute trade openness using two different methods for the BRICS countries and make association of it with growth and foreign currency reserves (FCRs) for the period 1991–2019. In addition, the study examines whether the FCR is sustainable. It observes positive and negative correlations between economic openness and gross domestic product (GDP) growth and FCR in the member nations leading to mean that trade openness has definitely contributed to the growth as well as accumulation of FCRs. But, the trends in the FCRs are unsustainable in the BRICS nations.

Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.

Introduction: The COVID-19 pandemic was unprecedented, and none of the world’s think tanks could have predicted how far it would spread. People visualise the pandemic as a classic example of a VUCA environment (an environment characterised by volatility, uncertainty, complexity, and ambiguity). Managing COVID-19 requires unique and different leadership qualities.

Purpose: This study’s rationale emphasises that VUCA demands strategic and agile leadership. Leaders across the globe must acknowledge the fact that the elements of VUCA, i.e. volatility, uncertainty, complexity, and ambiguity, are not synonymous and hence need differential treatment. Also, recommend adopting agile leadership to tackle the VUCA world.

Methodology: This is a conceptual study focusing on agile leadership. The study addresses the challenge of leading in the VUCA environment. The constituting components of VUCA are differentiated, followed by an extensive literature review of agile leadership.

Findings: VUCA is the new normal and is there to stay. Business leaders still need to counter VUCA due to their incapacity to distinguish and treat the components equally. Furthermore, there is an emergent need to develop an agile workforce, agile organisations, and agile leadership to combat VUCA. The study indicates that business leaders must be agile enough to handle the COVID-19 pandemic and future crises. There is a constant need to ensure agility. This study will provide a deep insight into VUCA and help business leaders emerge victorious in turbulent times.