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Football is a popular sport among young people across Africa, incited by the heavy presence of European football that has become central to youth cultures, everyday social routines, forms of consumption and opportunities for establishing social status. A growing body of evidence suggests increasing trends in harmful gambling behaviours in African youth, while the proliferation of football betting particularly remains a critical potential risk for negative mental health outcomes among young people in Sub-Saharan Africa. This chapter draws on original empirical data from a web-based cross-sectional survey to examine the prevalence estimates and associations of socio-demographic and behavioural factors with football betting among young adults attending university in Ghana. It draws on a multivariable logistic regression model to assess the associations with football betting. Our findings point not only to the growing salience of football betting among male demographics, but also the role of peer culture, alcohol and media as predominant sources of participants' initiation of football betting. Moreover, participants indicated the motive ‘to make money’ as their single major motivation, which raises the prospect that football betting is used as a means to mitigate the adverse effects of unemployment. Overall, the study points to a need for harm prevention strategies that align more closely with public health approaches focused on students, their families, their communities and their universities/schools.

Family care partners are significantly involved in healthcare tasks in order to support adult relatives. Yet, unlike pediatric models of care where caregivers of children are formally integrated into healthcare teams, care partners of adults are rarely engaged in a formal, structured, or consistent manner. Their inclusion in the healthcare team is critical to their capacity to continue supporting their relative. A meaningful dialogue between policy and healthcare management is required to identify feasible and effective ways of engaging family care partners in healthcare teams.

A growing body of literature suggests that unpredictable, resource-depleting shocks – ranging from natural disasters to public health crises and beyond – require the firm to respond adaptively. However, how firms do so remains largely undertheorized. To contribute to this line of literature, the authors borrow from the conservation of resources (COR) theory of stress and the dynamic capabilities perspective to introduce the concept of firm stress – a state of reduced and irregular readiness firms enter into following unpredictable, resource-depleting shocks. Our theoretical model illustrates that firms must punctuate the stress state to adapt by first deploying a retrenchment response, thereby conserving resources and allowing the firm to consider how to best redeploy its dynamic capabilities to adapt. Subsequently, the firm can redeploy its capabilities and adaptively respond in one of three ways: exiting (reconfiguring resources for alternative use), persevering (reconfiguring resources for better use), or innovating (developing new resources). Overall, the authors offer a process model of firm stress and adaptive responses following an unpredictable, resource-depleting shock that paves the way for future research on stress in the strategy literature.

Innovation ecosystems consist of independent and yet interdependent enterprises and actors. This constitutes a challenge for innovation leadership to set the direction to pursue UN SDGs. Enhanced insights and understandings of how collaborative innovation leadership can be conducted in practice are revealed in two cases conducted using a participatory action research approach. Hereby theory and practice are linked by the ecosystem participant actions to reach competitiveness of the offshore wind energy ecosystem compared to traditional/other renewable energy sources pursuing UN SDG number 7 of ‘affordable and clean energy’. The two cases are situated in ports in offshore wind energy innovation ecosystems, respectively in the Baltic Sea and in the North Sea. The first case contains complementary ecosystem participants with both leadership and expert positions. The second case contains both complementary and competitive ecosystem participants with leadership positions. The findings note that both cases can use collaborative innovation leadership through the point of origin in the guiding star of the value proposition at ecosystem level to go beyond their own enterprise self-interest. Next, collaborative innovation leadership is based in heterogeneities of both knowledge domains and individual and organisational behaviours for the innovative imagination of future needed initiatives for collaborative design-based sensemaking. A short-term challenge is present from reduced revenue in own enterprise from future needed initiatives. This short-term impact needs to be addressed for enhanced long-term robustness. The findings are summarised in a model for dissemination of collaborative innovation leadership in ecosystems to pursue UN SDGs in practice.