Charting new territory for organizational ethnography:insights from a team-based video ethnography of reinsurance trading in Lloyd’s of London

An increasing interest in “bringing actors back in” and gaining a nuanced understanding of their actions and interactions across a variety of strands in the management literature, has recently helped ethnography to unknown prominence in the field of organizational studies. Yet, calls remain that ethnography should “play a much more central role in the organization and management studies repertoire than it currently does” (Watson, 2011: 202). Ironically, those organizational realities that ethnographers are called to examine have at the same time become less and less amenable to ethnographic study. In this paper, we respond to these calls for innovative ethnographic methods in two ways. First, we report on the practices and ethnographic experiences of conducting a year-long team-based video ethnography of reinsurance trading in Lloyd’s of London. Second, drawing on these experiences, we propose an initial framework for systematizing new approaches to organizational ethnography and visualizing the ways in which they are ‘expanding’ ethnography as it was traditionally practiced.

German pop music:a companion

The development of German pop music represents a fascinating cultural mirror to the history of post-war Germany, reflecting sociological changes and political developments. While film studies is an already established discipline, German pop music is currently emerging as a new and exciting field of academic study. This pioneering companion is the first volume to provide a comprehensive overview of the subject, charting the development of German pop music from the post-war period 'Schlager' to the present 'Diskursrock'. Written by acknowledged experts from Germany, the UK and the US, the various chapters provide overviews of pertinent genres as well as focusing on major bands such as CAN, Kraftwerk or Rammstein. While these acts have shaped the international profile of German pop music, the volume also undertakes in-depth examinations of the specific German contributions to genres such as punk, industrial, rap and techo. The survey is concluded by an interview with the leading German pop theorist Diedrich Diederichsen. The volume constitues an indispensible handbook for any student, teacher and scholar in the area of German studies interested in contemporary popular culture.

Future trends in human resource management in emerging markets

In many ways the emerging markets represent something of a new frontier for academics and practitioners alike, or as one author puts it, ‘a significant topic of interest for a multitude of constituencies’ (Alkire, 2014: 334). The very term itself ‘emerging markets’ is something of a portmanteau one built on a series of layered insights garnered from several academic fields and multiple levels of analysis. Originally coined as a term in the 1980s, albeit with several earlier linked terminologies, this is an evolving and diverse literature. Inherent in its diversity lies a whole series of opportunities, encompassing the purely theoretical through to the methodological and the analytical. Capturing the essence of this in his Editorial in the inaugural edition of The International Journal of Emerging Markets, Akbar (2006) noted that from an academic perspective the emerging markets as a context for the creation and execution of a sustainable research agenda represent ‘a heterogeneous group of economies and societies’ and an ‘important testing ground for our existing theories, models and concepts of business and management’ affording those who focus on them as a research location the opportunity for ‘the development of new theoretical contributions in the field’. In this volume, we have sought to bring some systematics to this evolving literature dedicated to charting HRM in these emerging markets.

Improved data visualisation through multiple dissimilarity modelling

Popular dimension reduction and visualisation algorithms rely on the assumption that input dissimilarities are typically Euclidean, for instance Metric Multidimensional Scaling, t-distributed Stochastic Neighbour Embedding and the Gaussian Process Latent Variable Model. It is well known that this assumption does not hold for most datasets and often high-dimensional data sits upon a manifold of unknown global geometry. We present a method for improving the manifold charting process, coupled with Elastic MDS, such that we no longer assume that the manifold is Euclidean, or of any particular structure. We draw on the benefits of different dissimilarity measures allowing for the relative responsibilities, under a linear combination, to drive the visualisation process.