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The purpose of this paper is to present the results of South Africa’s national freight demand model and related logistics cost models, and to illustrate the application of the modelling outputs to inform macrologistics policy.

Spatially and sectorally disaggregated supply and demand data are developed using the input-output (I-O) model of the economy as a platform, augmented by actual data. Supply and demand interaction is translated into freight flows via a gravity model. The logistics costs model is a bottom-up aggregation of logistics-related costs for these freight flows.

South Africa’s logistics costs are higher than in developed countries. Road freight volumes constitute 80 per cent of long-distance corridor freight, while road transport contributes more than 80 per cent to the country’s transport costs. These challenges raise concerns regarding the competitiveness of international trade, as well as the impact of transport externalities. The case studies highlight that domestic logistics costs are the biggest cost contributor to international trade logistics costs and can be reduced through inter alia modal shift. Modal shift can be induced through the internalisation of freight externality costs. Results show that externality cost internalisation can eradicate the societal cost of freight transport in South Africa without increasing macroeconomic freight costs.

Systematic spatially disaggregated commodity-level data are limited. There is however a wealth of supply, demand and freight flow information collected by the public and private sector. Initiatives to create an appreciation of the intrinsic value of such information and to leverage data sources will improve freight demand modelling in emerging economies.

A spatially and sectorally disaggregated national freight demand model, and related logistics costs models, utilising actual and modelled data, balanced via the national I-O model, provides opportunities for increased accuracy of outputs and diverse application possibilities.

South Africa's logistics cost measurement was expanded to include externality costs, and scenarios based on the key exogenous risks were developed to inform mitigation strategies. This paper aims to discuss these issues.

The research approach is quantitative, based on a gravity-orientated freight flow model, a road transport cost model, actual transport costs for other modes, a warehousing cost survey, an inventory delay calculation (to inform warehousing cost calculations and inventory financing costs) and an externality cost calculation.

Transport cost pressures are expected to deteriorate due to the increasingly negative outlook for the oil price and the internalisation of externality costs. The nature of these forces compels transport cost challenges to be addressed strategically through collaborative, industry-wide and even nationwide initiatives.

Key limitations are inconsistent commodity classification schemes across information sources, and incomplete container content data. The researchers are collaborating with information providers to address these issues and refine model accuracy and forecasting.

The exogenous risks strengthen the argument for new approaches to South Africa's logistics cost challenges driven by the high densities of corridor freight flows.

The inclusion of externality costs highlighted the negative environmental impact of the current modal configuration and provides impetus for change.

Major advancements to logistics cost modelling were made by incorporating externality costs and developing scenarios for risk mitigation. Freight flow data granularity (in excess of one million records) allows both aggregation to national-level intelligence to inform policies, large-scale infrastructure investments and industrial positioning, and disaggregation to enable practical application.

This chapter investigates the role of gender, mentoring and social capital and contributes to literature about the career development of women in senior management roles in the National Health Service of the UK. It draws on a doctoral study of senior-level managers in a Scottish NHS Board. The data collected are: (i) documentary; (ii) quantitative; and (iii) qualitative. The quantitative data are collected through questionnaires, while the source of qualitative data is in-depth semi-structured interviews. The doctoral study is embedded within an interpretivist and feminist paradigm. Although access to mentoring and social capital was seen as likely to enhance the career progression of females to senior managerial roles, gendered work and family expectations, gendered organisational culture, and normative performances of gendered senior management were identified as obstacles in taking advantages of mentoring and social capital. To the best of our knowledge, this is the only piece of work that explicitly investigates the role of mentoring and social capital in managing gender diversity at the senior managerial positions of the NHS.

Special education for students with severe disabilities depends on advocacy, but for what issues we should advocate is arguable. Prioritizing issues for advocacy also may subject to debate. Some may argue for full inclusion, which is the idea that all children irrespective of impairments or needs should receive all services in general education settings. Full inclusion implies that all decisions about what, how, and where special education is provided must conform to general education contexts. Full inclusion is an absolute imposition and, accordingly, is diametrically opposed to an individualized approach articulated in US special education law. This chapter briefly addresses the incompatibility of inclusion (based on individualization) and full inclusion (based on absolute conformity) for students with severe disabilities, and suggests that special education professionals and leaders should champion meaningful curriculum delivered with effective instruction and behavioral supports. The foundations for this advocacy with and on behalf of students with severe disabilities should be scientific evidence, evidence-based practice, and the continued rights and protections associated with an individualized approach.

OUR fifty‐ninth volume is opened by this issue of the Library World, which has survived longer than any other independent library periodical. Some reflections, which may indeed seem repetitive, seem to be natural in the circumstances. We have a sense of gratitude to the number of readers, who as writers and subscribers have sustained us so long and will we trust continue to do so. From the first we have adhered closely to the thesis that our business was with the conduct of libraries and the activities, even personal ones, of librarians but not with their private affairs. We have endeavoured to initiate and to describe methods many of which are now commonplace in their acceptance. Thus J. D. Brown our founder and first Editor published in this his series on charging systems; Louis Stanley Jast his serial on his own cataloguing methods; Dr. E. A. Baker made known his views on the annotation of books; J. D. Stewart and Berwick Sayers wrote for those pages their study, afterwards published as the book The Card Catalogue—these are a few examples. The lighter forms of librarianship writing may be said to have been initiated in this country in our pages, for example the reports of the Pseudonyms' meetings which, it must be confessed, have a vague relation only to what actually took place at them; and the over‐thirty years' serial, Letters on Our Affairs, initiated in 1913 by one who became a world famous librarian, established, especially in its first decade, this style of critical writing which has had so many imitators.

Hype about information and communication technology (ICT) emphasizes potential positive outcomes; while enabling factors are under‐emphasized and potential negative outcomes are excluded. The purpose of this paper is to broaden the framing of ICT to include enabling factors and potential negative outcomes.

The paper takes the form of a critical realist study. Critical realist research seeks to improve understanding of causal mechanisms and causal contexts.

Comprehensive enablers for decision making include balanced unambiguous information; specific trustworthy communication; quiet sufficient decision spaces; and independent engaged decision makers. The introduction of a new ICT can make a contribution to, and/or detract from, realization of these principal enabling factors.

In this paper ICT is positioned within a preliminary comprehensive framing of enabling factors for decision making. ICT is used for other purposes. Nonetheless, the positioning of ICT in a preliminary comprehensive framing for decision making support reveals how hype about ICT can be mediated by consideration of enabling factors and potential negative outcomes.

The broader framing of enabling factors can provide a starting point for managers to undertake comprehensive improvement of information, communication, and contexts for decision making.

The originality of this paper is that it applies critical realism to mediate hype about ICTs that could be used to support decision making. The value of this paper is that it provides a detailed description of inter‐related factors that need to be managed in decision making support.

An emerging application of Big Data is the addition of sensors and other micro‐electronic devices to engineer‐to‐order (ETO) goods such as one‐of‐a‐kind buildings and ships. The addition of micro‐electronic devices can enable the setting up and operation of smart buildings and smart ships. The purpose of this paper is to provide a critical realist analysis of Big Data hype. This is necessary to determine what challenges will need to be met before project businesses can achieve informational effects and transformational effects from Big Data technologies.

A critical realist study informed by reference to predictive theory and findings from action research. The predictive theory is concerned with the three different types of business effects that can come from information and communication technologies (ICTs): automational, informational, and transformational.

Critical realist analysis reveals that hype about Big Data underplays many challenges in achieving informational and transformational effects.

Many inter‐related non‐trivial factors need to be taken into account when considering investing in Big Data initiatives. These factors range from the planning of data sampling rates, through the robust fixing of sensors, to the implementation of data mining algorithms and signal models.

The originality of this paper is that critical realism is used in analysis of Big Data hype. The value of this paper is that it reveals a causal mechanism and causal context for project business Big Data application. This type of critical realist analysis can be applied to enable better understanding of necessary causal mechanisms and causal contexts for other ICT innovations.

Through a survey of 200 employees working in five of the thirty establishments analysed in previous research about the microeconomic effects of reducing the working time (Cahier 25), the consequences on employees of such a reduction can be assessed; and relevant attitudes and aspirations better known.