Future Growth Prospects for the UK Cyber Security Sector & the Role of Accelerators as Innovation Support Mechanisms

It’s the purpose of this paper to analyse the current state of growth in the UK cyber security sector and the role of accelerators and incubators in facilitating the development of a strong cyber ecosystem. The paper analyses current growth figures (2020-2022) relating to the industry followed by an explanation of how accelerators and incubators work. It then considers the problems of measuring the efficacy of high tech accelerators and the importance of ecosystem effects and other external variables and how they may cause regional growth disparities. Learning on the international best practices, an overview of what drives innovation success in the US and Israel before considering the components that are likely to ensure a successful accelerator is offered. This is followed by a set of recommendations relating to public policies going forward

Resilience in Healthcare Systems: Cyber security and Digital Transformation

The digital transformation of the healthcare sector is an essential development as societies move into a post-industrial, knowledge-based economy. The adoption of the latest technologies and their applications in the health and care systems must be managed effectively from the perspective of their cyber security and resilience. However, there is still a limited understanding of the key concepts that must define the strategic vision of a resilient and sustainable digital transformation of the healthcare sector. Using data collected at the peak of the COVID-19 pandemic from owners and C-level executives from critical infrastructure sectors in the United Kingdom, this research analysed core constructs that contribute to the required transformative, adaptive and absorptive capacities for health systems digital resilience. The research found that a balanced base of cyber security knowledge development, uncertainty management, and consideration for the sector’s high levels of systemic and organisational interdependence are essential for its digital resilience and for the sustainability of its digital transformation efforts. The paper describes the implications of these findings for research and management practice

Big data visualisation, geographic information systems and decision making in healthcare management

Purpose: The World Health Organisation estimates that 92 per cent of the world’s population does not have access to clean air. The World Bank in 2013 estimated that only air pollution (AP) was responsible for a $225bn cost in lost productivity. The purpose of this paper is to contribute to the current scholarly debate on the value of Big Data for effective healthcare management. Its focus on cardiovascular disease (CVD) in developing countries, a major cause of disability and premature death and a subject of increasing research in recent years, makes this research particularly valuable. Design/methodology/approach: In order to assess the effects of AP on CVD in developing countries, the city of Bangalore was selected as a case study. Bangalore is one of the fastest growing economies in India, representative of the rapidly growing cities in the developing world. Demographic, AP and CVD data sets covering more than 1m historic records were obtained from governmental organisations. The spatial analysis of such data sets allowed visualisation of the correlation between the demographics of the city, the levels of pollution and deaths caused by CVDs, thus informing decision making in several sectors and at different levels. Findings: Although there is increasing concern in councils and other responsible governmental agencies, resources required to monitor and address the challenges of pollution are limited due to the high costs involved. This research shows that with developments in the domains of Big Data, Internet of Things and smart cities, opportunities to monitor pollution result in high volumes of data. Existing technologies for data analytics can empower decision makers and even the public with knowledge on pollution. This paper has demonstrated a methodological approach for the collection and visual representation of Big Data sets allowing for an understanding of the spread of CVDs across the city of Bangalore, enabling different stakeholders to query the data sets and reveal specific statistics of key hotspots where action is required. Originality/value: This research has been conducted to demonstrate the value of Big Data in generating a strategic knowledge-driven decision-support system to provide focused and targeted interventions for environmental health management. This case study research is based on the use of a geographic information system for the visualisation of a Big Data set collected from Bangalore, a region in India seriously affected by pollution