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In this paper, we aim to test the usefulness and contribute to the further development of analytical frameworks that guide research into integrated health and social care initiatives.

This study uses case studies based in decentralised administrative areas within the New South Wales state health system using (1) the Innovative Policy Supports for Integrated Health and Social Care Programs Framework, (2) the Consolidated Framework for Implementation Research and (3) the Framework on the Emergence and Effectiveness of Global Health Networks to assess the quality of international policies and/or strategies and integrated health and social care networks.

This study facilitates and advances integrated health and social care knowledge, moving from the study of local initiatives to a higher-level taxonomy of integrated care initiatives and exploring the emergence and effectiveness of global integrated care knowledge exchange networks. This paper proposes the use of three different frameworks to assess enhancement of the integrated health and social care using an array of multi-level innovation efforts as case studies.

This paper highlights the need for further research, and additional supports for formulating a single unified integrated health and social care framework that can assess innovations at multiple levels beyond local settings.

A stronger partnership with key stakeholders to enhance integrated health and social care research capabilities would be a feasible way to increase care and research capabilities in all sectors.

Health and social care clinicians, consumer representatives, service managers, policymakers and network knowledge partners must co-design a unified framework that better reflects the large multi-level agenda for integrated health and social care system change.

This novel study examines the level of integration of local space-based health and social care interventions, develops a taxonomy of local health district and/or primary care network integrated care initiatives to locate the “local” within a broader policy context and evaluates the quality of international policies and/or strategies and integrated health and social care networks.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.