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This chapter focuses on the school placement element of Initial Teacher Education provision. It opens with an examination of a range of issues characterising research and writing about placement at global level before considering the vernacular nuances of the Scottish context. The chapter then turns to the problematic matter of quality in teaching practice and argues against reifying school placement as something that exists separate or apart from the student teachers who participate in it. It challenges simplistic analyses of the quality of the placement in terms of external provision through supportive mentoring relationships within a welcoming organisational culture. Drawing on data from the author's recent research, the relational nature of the school placement is emphasised and an argument promoted that individual student teachers make significant contributions to the nature of the support they experience on placement. Implications for further research are considered in the conclusion.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The most significant event for the School has been the announcement of the creation of the National Centre for Management Research and Development. The Centre is due to open in 1986 and will provide research facilities for up to 20 major projects designed to improve the competitiveness of Canadian business practices.

As disaster resilience activities are increasingly occurring at the neighbourhood level, there is a growing recognition in research and in practice of the contributions that community stakeholders can make in assessing the resilience of their communities. The purpose of this paper is to describe the process in deriving a disaster resilience measurement framework by soliciting the perspectives of stakeholders from urban neighbourhoods in two countries. The authors examined their community values, and their perspectives on both the concept of resilience and the essential elements that they believe would contribute to the resiliency of their neighbourhoods.

The authors used an appreciative inquiry approach to draw out the perspectives of 58 stakeholders from nine focus groups in five urban neighbourhoods in New Zealand and in the USA.

Results of this research show common values and recurring perceived characteristics of disaster resilience across the study sites. A neighbourhood-based disaster resilience measurement framework is developed that encompasses individual/psychological, socio-cultural, economic, infrastructural/built, and institutional/governance dimensions of disaster resilience. In the process of developing the framework, the authors identified challenges in engaging certain segments of the population and in accounting for wider structural influences on neighbourhood resilience.

Issues relating to inclusive community engagement and linkages to cross-scalar resilience factors need to be addressed in future studies.

Results of this research provide insights and guidance for policy makers and practitioners when engaging communities in the development of resilience metrics.

This study fills the literature gap in evaluating community values and stakeholders’ perspectives on disaster resilience when identifying metrics for resilience interventions in urban neighbourhoods. The proposed measurement framework is derived from cross-cultural and diverse socioeconomic settings.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

This chapter will examine ideological debates currently taking place in academics. Anthropologists – and all academic workers – are at a crossroads. They must determine what it means to “green the academy” in an era of permanent war, “green capitalism,” and the neoliberal university (Sullivan, 2010). As Victor Wallis makes clear, “no serious observer now denies the severity of the environmental crisis, but it is still not widely recognized as a capitalist crisis, that is, as a crisis arising from and perpetuated by the rule of capital, and hence incapable of resolution within the capitalist framework.”

A regression kink design (RKD or RK design) can be used to identify casual effects in settings where the regressor of interest is a kinked function of an assignment variable. In this chapter, we apply an RKD approach to study the effect of unemployment benefits on the duration of joblessness in Austria, and discuss implementation issues that may arise in similar settings, including the use of bandwidth selection algorithms and bias-correction procedures. Although recent developments in nonparametric estimation (Calonico, Cattaneo, & Farrell, 2014; Imbens & Kalyanaraman, 2012) are sometimes interpreted by practitioners as pointing to a default estimation procedure, we show that in any given application different procedures may perform better or worse. In particular, Monte Carlo simulations based on data-generating processes that closely resemble the data from our application show that some asymptotically dominant procedures may actually perform worse than “sub-optimal” alternatives in a given empirical application.