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Magnetic polarizability tensors (MPTs) provide an economical characterisation of conducting magnetic metallic objects and their spectral signature can aid in the solution of metal detection inverse problems, such as scrap metal sorting, searching for unexploded ordnance in areas of former conflict and security screening at event venues and transport hubs. In this work, the authors aim to discuss methods for efficiently building large dictionaries for classification approaches.

Previous work has established explicit formulae for MPT coefficients, underpinned by a rigorous mathematical theory. To assist with the efficient computation of MPTs at differing parameters and objects of interest, this work applies new observations about the way the MPT coefficients can be computed. Furthermore, the authors discuss discretisation strategies for hp-finite elements on meshes of unstructured tetrahedra combined with prismatic boundary layer elements for resolving thin skin depths and using an adaptive proper orthogonal decomposition (POD) reduced-order modelling methodology to accelerate computations for varying parameters.

The success of the proposed methodologies is demonstrated using a series of examples. A significant reduction in computational effort is observed across all examples. The authors identify and recommend a simple discretisation strategy and improved accuracy is obtained using adaptive POD.

The authors present novel computations, timings and error certificates of MPT characterisations of realistic objects made of magnetic materials. A novel postprocessing implementation is introduced and an adaptive POD algorithm is demonstrated.

In order to obtain speedy management information, management may either use the services of a computer bureau, or install their own computerised system. Our writer takes the view that one system — the Hoskyns Retail Trading System — meets the needs of a wider range of retailers.

The chapter examines the role of volunteer business mentoring in potentially improving financing and financial management in under-served (i.e. schemes aim to assist deprived neighbourhoods and youth entrepreneurs) youth enterprises.

Youth entrepreneurship (commonly defined as entrepreneurs aged up to 35 years) is regarded by the OECD as under-represented, within entrepreneurship as a general social phenomenon, and young entrepreneurs as disadvantaged through being under-served. Indeed, young people with latent potential for entrepreneurship have been defined as a component of ‘Missing Entrepreneurs’ (OECD, 2013). This under-representation of nascent entrepreneurs within young people under 35 is partly theoretical. While examining entrepreneurship as a social phenomenon and taking a resource-based approach (Barney, 1991), young people are perceived at a particular disadvantage compared with older members of society. That is, however creative, they lack the experience and network resources of older members.

Theoretically, from a demand-side perspective, young people may have aspirations and the required skills for start-up entrepreneurship, but are disadvantaged from a supply-side perspective since financial institutions, such as the commercial banks, private equity investors and other suppliers of financial debt and equity, will see greater risk combined with a lack of track record and credibility (pertaining to information asymmetries and associated agency and signalling problems: Carpenter & Petersen, 2002; Hsu, 2004; Hughes, 2009; Mueller, Westhead, & Wright, 2014). This means that aspiring nascent youth entrepreneurs face greater challenges in obtaining mainstream and alternative sources of finance. Practically, unless such young entrepreneurs can call upon deep pockets of the ‘bank of Mum and Dad’ or family and friends, we can expect them to resort to pragmatic methods of stretching their resources, such as financial bootstrapping and bricolage (Mac an Bhaird, 2010; Mac an Bhaird & Lucey, 2015). Although these theoretical and practical issues have long existed for youth entrepreneurship, they have only been exacerbated in the post-2007 Global financial Crisis (GFC) financial and economic environment, despite the growth of alternative sources such as equity and debt sources of crowdfunding.

There has been an evidence for some time that young people have a higher desire to enter entrepreneurship and self-employment as a career choice, in preference to other forms of employment (Greene, 2005). Younger people are also more positive about entrepreneurial opportunities. For example, a Youth Business International, Global Entrepreneurship Monitor (YBI/GEM) (2013) report indicated that in the European Union (EU), ‘younger youth’ were more positive in their attitudes to good business opportunities and in seeing good opportunities than older people. Theoretically, the issues of low experience and credibility can be mitigated by the role of advisors, consultants and/or volunteer business mentors. In corporations and large organisations, mentors are known to be valuable for early career staff (Clutterbuck, 2004; Haddock-Millar, 2017). By extension with young entrepreneurs, business mentors raise credibility, develop personal and professional competence, business potential and entrepreneurial learning. From a supply-side perspective, this reduces risk for financial institutions, potentially increasing the likelihood of receiving external finance and improving the likely returns and business outcomes of such financing.

In examining the role of business mentoring in youth entrepreneurship finance, the chapter poses three research-related questions (RQs):

To what extent is the youth voluntary business mentoring (VBM) associated with access to external finance?

Where access to external finance takes place, does the VBM improve the outcomes of the businesses?

To what extent do VBMs make a difference to the performance of businesses receiving financial assistance?

The chapter draws on primary evidence from an online Qualtrics survey of 491 (largely) youth entrepreneur mentees drawn from eight countries in the YBI network. These were selected for their contrasting high (Sweden and Spain), middle (India, Argentina, Chile, Russia and Poland) and lower (Uganda) income economies, global coverage of four continents and operation of established entrepreneurship mentoring schemes. The study provides collective quantitative data on the current relationship between mentoring and the access and impact of external finance. It surveyed current or recently completed mentees during Autumn 2016 – the typical mentoring cycle being 12 months. Additionally, the chapter draws on further qualitative insight evidence from face-to-face interviews, with current mentor-mentee case study pairings from the eight countries.

In summary, the profile of surveyed mentees demonstrated even gender distribution, with three-fifths currently in mentoring relationships. At the time of commencing mentoring, nearly four-fifths were aged under 35, half being self-employed, one quarter employed, with the remainder equally distributed between education and unemployment. At commencement of mentoring, mentee businesses were typically in early stages, either pre-start (37%) or just started trading (34%), the main sectors represented being business services (16%), education and training (16%), retail and wholesale (12%) and creative industries (8%), with the median level of own business management —one to two years.

For one-third of mentees, mentoring was compulsory, due largely to receiving enterprise finance support, whilst for the remainder, more than a quarter stated that access to business finance assistance was either considerably or most important in their choice to go on the programme.

In terms of business performance, businesses receiving external finance (loans or grants through the programme) or mentoring for business finance performed significantly better than the rest of the sample: amongst those trading 47% increased sales turnover, compared to 32% unassisted (<0.05 level); 70% increased employment, compared to 42% (<0.05); 58% directly attributed improved performance to mentoring, compared to 46% (<0.1).

The chapter provides both statistical and qualitative evidences supporting the premise that youth business mentoring can both improve access to external finance and lead to improved business performance. This provides useful guidance to youth business support, given that in some of the countries studied, external financing in the form of grants and soft micro loans for youth entrepreneurs are not available.

Purpose: This chapter proposes narrative allyship across ability as a practice in which nondisabled researchers work with disabled nonresearchers to co-construct a process that centers and acts on the knowledge contained in and expressed by the lived experience of the disabled nonresearchers. This chapter situates narrative allyship across ability in the landscape of other participatory research practices, with a particular focus on oral history as a social justice praxis.

Approach: In order to explore the potential of this practice, the author outlines and reflects on both the methodology of her oral history graduate thesis work, a narrative project with self-advocates with Down syndrome, and includes and analyzes reflections about narrative allyship from a self-advocate with Down syndrome.

Findings: The author proposes three guiding principles for research as narrative allyship across ability, namely that such research further the interests of narrators as the narrators define them, optimize the autonomy of narrators, and tell stories with, instead of about, narrators.

Implications: This chapter suggests the promise of research praxis as a form of allyship: redressing inequality by addressing power, acknowledging expertise in subjugated knowledges, and connecting research practices to desires for social change or political outcomes. The author models methods by which others might include in their research narrative work across ability and demonstrates the particular value of knowledge produced when researchers attend to the lived expertise of those with disabilities. The practice of narrative allyship across ability has the potential to bring a wide range of experiences and modes of expression into the domains of research, history, policy, and culture that would otherwise exclude them.

This chapter explores blockchain's five key elements ‒ distribution, encryption, immutability, tokenization, and decentralization. It also examines blockchain's potential to revolutionize today's businesses by looking at the efficiency and transparency blockchain brings to business processes. In addition, the chapter discusses the added benefits of traceability and potentially decreasing long-term costs before reviewing some of the known technical challenges blockchain faces today especially pertaining to commercial and enterprise adoption. Limited block size and low-transaction rates potentially inhibit blockchain's ability to scale to meet the needs of current and future enterprises. The lack of blockchain standards, along with creating multiple blockchains, complicates interoperability between the various blockchain platforms. The chapter concludes by offering potential solutions to blockchain's current technical challenges and how enterprises might adapt blockchain in the future.

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The purpose of this paper is to present the findings from a literature review, which aimed to identify previous studies evaluating cryptolaundering from a systems thinking perspective. The aim of this paper is to first confirm that cryptolaundering systems can indeed be defined as complex socio-technical systems and second to present the findings from a systematic review of the literature to determine the extent to which previous research has adopted a systems thinking perspective.

The study involved a SLR of studies published in the peer-reviewed literature between 2009 and 2018. Rasmussen’s risk management framework (Rasmussen, 1997) was used to evaluate the extent to which a systems thinking perspective had been adopted.

The cryptolaundering process is considered to be a complex socio-technical system. The review demonstrates that no previous studies have defined cryptolaundering as a complex socio-technical system or used systems thinking framework approach to evaluate how criminals, regulatory bodies or law enforcement entities understand processes and assess risk within cryptolaundering systems. It is argued that using such an approach to the cryptolaundering process would likely improve assessing criminal risk analyses of cryptolaundering and assist law enforcement and regulatory bodies with understanding risk management during the laundering of cryptocurrencies.

Future assessments of cryptolaundering using socio-technical system analytical processes may afford law enforcement and regulatory bodies the opportunity to improve intervention techniques and identify gaps in regulations and enforcement.