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The COVID-19 pandemic accelerated many organisations’ reliance on the Internet, with schools, companies, and government agencies, among other institutions, all shifting their operations online in a relatively short period of time. This sudden shift created opportunities for cybercriminals, as did the burden on the healthcare sector, the rush for unemployment benefits, and the desire for up-to-date information about outbreaks and health precautions. This chapter examines the trends in cybercrime during the COVID-19 pandemic that were spurred by these changes, as well as the mitigation measures implemented by government and private industry stakeholders to help protect critical infrastructure and online operations. It argues that the nature of cybercrime and the most common forms of criminal activity did not change substantially during the pandemic, but rather that criminals’ focus on whom to target and how to exploit evolving current events enabled them to wield existing criminal tools to greater effect, and potentially also at greater scale, though reliable statistics on the frequency and size of cybercrimes are scarce. Finally, the chapter considers how these trends in cybercrime forced private organisations and governments to undertake new cybersecurity measures and programs and whether the long-term effects of the pandemic might actually include stronger cybersecurity if these efforts continue past the end of the public health crisis.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.