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The COVID-19 pandemic provides researchers and practitioners with an opportunity to examine the effect of emergency policing on public trust in the police and augment our understanding. Therefore, the primary purpose of this study was to examine the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana.

A multivariate binary logistic regression was utilized to assess the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana using national representative data.

Our analysis suggests that emergency policing positively influences public trust in the police in Ghana. Additionally, we observed that police-related issues such as corruption and professionalism, as well as demographic factors of the public, influence trust in the police. These observations are helpful for emergency policing and policy development in Ghana.

This study is unique because it uses national representative data to assess the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana. Furthermore, this study is among the first or among the few from Ghana and the sub-region to examine the nexus between health emergencies and policing.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.