Learning to live with the lack: pedagogy of the beguiled

An important aspect of globalisation/Americanisation is, prima facia, the global export of televisual products such as Sesame Street, Barney, etc. that are explicitly concerned with cultivating elementary forms of organisational life. Thus, it is surprising that organization studies has been virtually silent on childhood and pedagogy. This lacuna needs filling especially because the development of a post-national, cosmopolitan society problematises existing pedagogical models. In this paper we argue that cosmopolitanism requires a pedagogy that is centred on the Lack and the mythic figure of the Trickster. We explore this through an analysis of children’s stories, including Benjamin’s radio broadcasts for children, Sesame Street and Dr Seuss.

Structural and agentic analysis of supply-chains: a social network analysis approach

This research adds to a body of work exploring the role of Social Network Analysis (SNA) in the study of both relational and structural characteristics of supply chain networks. Two contrasting network cases (food enterprises and digital-based enterprises) are chosen in order to elicit structural differences in business networks subject to divergences in local embeddedness and the relative materiality of the goods and services produced. Our analysis and findings draw out differences in network structure as evidenced by metrics of network centralization and cohesion, the presence of components and other sub-groupings, and the position of central actors. We relate these structural features both to the nature of the networks and to the (qualitative) experiences of the actors themselves. We find, in particular, the role of customers as co-creators of knowledge (for the Food network), the central role of infrastructure and services (for the Digital network), the importance of ICT as a source of codified knowledge inputs, along with the continuing importance of geographical proximity for the development and transfer of tacit knowledge and for incremental learning.