Relationships, the role of individuals and knowledge flows in the internationalization of service firms

This article develops a new conceptual model of knowledge flows within international service firms. Our model takes explicit account of the critical role of relationships and the individual as being central to the process of knowledge transfer for service firms. The model is then validated with data collected from five international service firms using critical event analysis techniques. The findings reinforce our contention that the individual plays a critical role in the process of knowledge transfer and that relationships form an integral part of this process. The implications of this finding are also discussed.

Twitter tsunami early warning network : a social network analysis of Twitter information flows

In the aftermath of earthquakes, tsunamis, such as the 2011 Great East Japan Tsunami, caused enormous damage around the world. With the extreme disaster events of the past, nations improved disaster preparedness and response through sensors and tsunami early warning systems. Even with system usage, however, governments still need to warn the targeted citizens – who may be anywhere within the vulnerable areas – of predicted tsunami and ordered mass evacuations within a very limited lead time. While social media research is on the rise outside the domain of social networking, very little is written about Twitter use for tsunami early warning. In this research, therefore, we examined the utility of Twitter as a tsunami early warning network, which engages citizens and disaster management agencies in diffusing disaster information. We conducted a social network analysis of Twitter information flows among the central disaster warning agency’s Twitter followers during the 2012 Indonesia Earthquake.

Classification of correlated internet traffic flows

A critical problem for Internet traffic classification is how to obtain a high-performance statistical feature based classifier using a small set of training data. The solutions to this problem are essential to deal with the encrypted applications and the new emerging applications. In this paper, we propose a new Naive Bayes (NB) based classification scheme to tackle this problem, which utilizes two recent research findings, feature discretization and flow correlation. A new bag-of-flow (BoF) model is firstly introduced to describe the correlated flows and it leads to a new BoF-based traffic classification problem. We cast the BoF-based traffic classification as a specific classifier combination problem and theoretically analyze the classification benefit from flow aggregation. A number of combination methods are also formulated and used to aggregate the NB predictions of the correlated flows. Finally, we carry out a number of experiments on a large scale real-world network dataset. The experimental results show that the proposed scheme can achieve significantly higher classification accuracy and much faster classification speed with comparison to the state-of-the-art traffic classification methods.

From ecological creativity to an ecology of well-being: 'flows & catchments' as a case study of NVivo

This paper’s research question concerns how the ecological creativity of the Volcanic Plains region of Western Victoria may be transformed into an ecology of well-being of benefit to the local community. Drawing on the philosophies of Spinoza and Gilles Deleuze, we argue that community well-being results from the richness of connections and relationships made within a place. The case study for our investigation is ‘Flows & Catchments’, which is an ongoing, collaborative, creative-arts research project auspiced by Deakin University. Its modus operandi is Practice-Based Research (PBR), and its aim is to promote community well-being in Western Victoria. However, while the whole metier of the creative arts is to make the novel connections and relationships that should bring about community wellbeing, the various artists of ‘Flows & Catchments’ have proved slightly reluctant to make connections outside of their individual or small-group sub-projects. In this way, ecological creativity has not reached its full potential as an ecology of well-being because the rich connections and relationships essential to this well-being have not yet been fully realised. This paper explores the potential of using the NVivo qualitative analysis software package to bring together the creative-arts sub-projects of ‘Flows & Catchments’, as a way of fostering an ecology of well-being out of a currently dispersed ecological creativity.

Comparisons of sidewall correction of bed shear stress in open-channel flows

When investigating sediment transport in laboratory open-channel flows, it is often necessary to remove sidewall effects for computing effective bed shear stress. Previous sidewall correction methods are subject to some assumptions that have not been completely verified, and different values of the bed shear stress may be obtained depending on the approach used in making sidewall corrections. This study provides a quantitative assessment of the existing correction procedures by comparing them to a new sidewall correction model proposed in this study. The latter was derived based on the shear stress function and equivalent roughness size for both rigid and mobile bed conditions, which were obtained directly from experimental measurements. The comparisons show that the Einstein correction formula and the Vanoni and Brooks method generally predict relatively lower and higher bed shear stresses, respectively, while the Williams’ empirical function leads to more scatter. This study also demonstrates that the widely used Vanoni and Brooks approach can be well approximated by a simple formula derived based on the Blasius resistance function. The sidewall effects, when removed in the different ways, would consequently affect the presentation of the bedload function. Experimental results of bedload transport, when plotted as the dimensionless transport rate against the dimensionless shear stress with the latter being corrected using the present model, exhibit less scatter than those associated with the previous procedures.

Evaluating social marketing’s upstream metaphor: does it capture the flows of behavioural influence between ‘upstream’ and ‘downstream’ actors?

Metaphors are powerful forms of communication that can both facilitate and constrain disciplinary discourse, so the choice of metaphor used to explain concepts of disciplinary importance should not be undertaken lightly. A single case study methodology involving an ‘upstream’ firm considering whether to manufacture products with environmental attributes was consequently used to test three previously unexamined assumptions associated with the upstream/downstream metaphor, a metaphorical distinction that continues to have sway within the social marketing discipline. Contrary to these assumptions, the flows of behavioural influence between ‘upstream’ and ‘downstream’ actors were found to be bidirectional (rather than unidirectional), interactive (rather than independent), and distinctive (rather than non-distinctive). These findings suggest the need for alternative models that can better reflect the complex, multidirectional relationships responsible for the emergence of many social issues.