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This study investigate urban migrant dwellers’ gender and age differences in response to the specific phobia of COVID-19 and hesitancy toward vaccines in the slum settlements.

The study anchored on the two-factor model proposed by Mowrer (1939) and used a quantitative design approach with a convenience sampling method for data gathering among 362 urban migrants residing and working in the cities of Ghana. The study used the Mann–Whitney U test and the regression analysis for the analysis.

The result showed that there is a significant difference between males and females in their understanding of economic phobia, thoughts on social phobia and perception level of vaccine hesitancy. Additionally, there is a significant difference between age groups in their level of thoughts of psychological phobia, economic phobia and thoughts of vaccine hesitancy. Finally, the specific of phobias of COVID-19 are significant predictors of vaccine hesitancy.

This research is slum-specific, which implies that the outcome cannot be generalized to other geographical settings.

The study demonstrates how a pandemic manifests itself to dwellers in slums. The outcome of the study sheds light on how policymakers appreciate the dynamics of the pandemic in a developing country, which may guide future responses to pandemics.

The outcome of the study sheds light on how policymakers appreciate the dynamics of the pandemic in a developing country, which may guide future responses to pandemics.

Pandemics are frequent events, and the impact of each pandemic makes a strong and long-term effect on companies and markets. Given the potential impact of the COVID-19 pandemic, it is important to investigate the crisis from a different perspective to know how companies have sustained growth in markets. The purpose of this paper is to understand how profit-oriented customer-centric companies (small, medium and large) have responded and adapted to COVID-19 crisis, using the complexity theory.

Drawing upon the complexity theory, a humble attempt is made to develop theoretical propositions by conceptualizing companies as complex adaptive systems. The paper examines companies from three dimensions (i.e. internal mechanism, environment and coevolution).

Companies self-organize, emerge into new states and become adaptive to the changing environment. Companies create knowledge to understand the dynamic anatomy and design survival and growth strategies during and post COVID-19 era. Complex adaptive systems perspective provides companies with insights to deal with complex issues raised due to COVID-19 pandemic. They can handle the impact of pandemic efficiently with complex adaptive systems by developing and implementing appropriate strategies post-COVID-19.

The study reveals how companies evolve and emerge into as complex adaptive systems to adapt themselves to the highly dynamic environment, which are uncertain, unpredictable, nonlinear and multifaceted, in the context of COVID-19. Implications for theory and practice of viewing companies as complex adaptive systems and coevolving structures in the COVID-19 context are discussed.