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Developing youth-friendly, flexible primary care is important because young people have specific health needs but often feel nervous and uneasy when seeking appropriate help. The Well Centre in South London is an innovative adolescent health one-stop-shop, jointly designed and developed by Redthread (a youth work charity) and the Herne Hill Group Practice (general practitioners). The purpose of this paper is to summarise the experiences of implementing the model and provides a description of a sample of clients.

Drawing on routine data from the Well Centre’s medical and youth work data systems, a service description and audit of patients using the centre during the three years from October 2011 to December 2014 was provided, with a particular focus on the 368 new patients aged 13-20 years attending between January and December 2014.

Results demonstrated the Well Centre’s success in drawing in patients from deprived backgrounds who were less likely to be engaged with other health services, and who reflected a high level of mental health problems. The Well Centre model tested the benefit of an integrated approach in recognising and meeting the needs of young people. The real strength of the model lay in the good communications with schools and the voluntary sector in the area.

The Well Centre is a unique intervention with potentially wide ramifications for how primary health care is delivered to young people in inner city areas, and this paper represents the first published information about its working methods and clientele.

Despite the considerable hype about how Big Data Analytics (BDA) can transform businesses and advance their capabilities, recognising its strategic value through successful adoption is yet to be appreciated. The purpose of this paper is to focus on the process-level value-chain realisation of BDA adoption between SMEs and large organisations.

Resource-based theory offered the lens for developing a conceptual BDA process-level value chain adoption model. A combined two-staged regression-artificial neural network approach has been utilised for 369 small, medium (SMEs) and large organisations to verify their critical value chain process-level drivers for successful organisational adoption of BDA.

The findings revealed that organisational BDA adoption success is driven predominantly by product—and service-process-level value, with distinctive discrepancies dependent on the organisation’s size. Large organisations primarily embrace BDA for their external value chain dimensions, while SMEs encompass its internal value chain cues. As such, businesses will be advised to acknowledge their organisational dynamics and precise size to develop the right strategies to adopt BDA successfully.

The study advances the understanding of the role of internal and external value chain drivers in influencing how BDA can be successfully adopted in SMEs and large organisations. Thus, appreciating the organisation’s unique attributes, including its size, will need to be carefully examined. By investigating these elements, this research has shed new light on how developing such innovative capabilities and competencies must be carefully crafted to help create a sustainable competitive advantage.

For an organisational positioning, acknowledging the role of internal and external value chain drivers is critical for implementing the right strategies for adopting BDA. For larger businesses, resources for innovation often can be widely available compared to SMEs. As such, they can manage their costs and associated risks resourcefully. By considering the identified value-chain-related adoption success factors, businesses should be better positioned to assess their competencies while being prepared to adopt BDA.

The study offers the research and business community empirical-based insights into the strategies needed to successfully adopt big data in an organisation from a process-level value chain perspective.

This paper analyses the use of big data techniques in auditing, and finds that the practice is not as widespread as it is in other related fields. We first introduce contemporary big data techniques to promote understanding of their potential application. Next, we review existing research on big data in accounting and finance. In addition to auditing, our analysis shows that existing research extends across three other genealogies: financial distress modelling, financial fraud modelling, and stock market prediction and quantitative modelling. Auditing is lagging behind the other research streams in the use of valuable big data techniques. A possible explanation is that auditors are reluctant to use techniques that are far ahead of those adopted by their clients, but we refute this argument. We call for more research and a greater alignment to practice. We also outline future opportunities for auditing in the context of real-time information and in collaborative platforms and peer-to-peer marketplaces.

Educational researchers and practitioners work in dynamic and diverse arenas, informed by various political, social, and cultural discourses. The complexity of the human relationships that underlie these dialogues necessitate a new vision of how we prepare the next generation of educational researchers. This different vision is grounded in collaboration, creativity, and institutional flexibility as it seeks to foster the development of those interdisciplinary approaches that reflect both holistic and comprehensive views for emerging doctor-level programs. This chapter introduces an interdisciplinary PhD in Educational Studies program which focuses on nurturing the educational researcher mindset to address the increasing complexity of educational issues, concerns, and needs. What we share in this chapter is a glimpse at the tremendous potential of a PhD program that has been built on an openness to change. Ours is a program with explicit assumptions that undergird our actions, and also a program that is responsive to changes in the environments within which our candidates and graduates will work. Thus, our vision remains current and fresh, which serves as an unmistakably powerful motivator for both our doctoral students and faculty.