Alleviating poverty by engaging in microenterprise : how can INGOs in Vietnam help microenterprises overcome market constraints?

Microenterprise programs (MEPs) that aim to help poor communities engage in micro businesses have contributed significantly to poverty reduction in developing countries. However, a review of the literature suggests that the current approach adopted by MEPs has mainly provided services to microenterprises (MEs) based on what MEPs can supply rather than on what MEs actually need and what the market demands. Therefore, MEPs’ approaches are more likely to be supply driven. Yet when there are market constraints, such as high competition or low demand, this approach has been linked to the failure of MEs in their infancy. The alternative is a demand driven approach, in which MEPs provide MEs with support based on what MEs need, and what markets demand. However, research examining the application of this approach is limited. In order to gain an understanding of the approaches of MEPs, to identify whether these approaches are demand or supply driven, and to discover how these approaches are used to help MEs operate under market constraints, this study examined the operation of International Non-Government Organisations (INGOs) operating in Vietnam. This exploratory study involved in-depth interviews with senior executives from 10 INGOs. Thematic analysis was used to analyse data collected from the in-depth interviews. The results were further verified with publicly available data from the INGOs. The findings of this research indicate that the demand driven approach is dominant in most approaches of INGOs in Vietnam, and has become a key approach in helping MEs deal with market constraints. Further, rather than explaining the demand and supply driven dichotomy, the findings highlight that MEPs’ approaches can be viewed in two dimensions: a participant-demand driven approach focusing on the basic needs and capabilities of the extremely poor, irrespective of market demands; and a market-demand driven approach focusing on the capabilities of poor communities, while also accommodating market demands. This research provides contemporary and practical insights into the DD and SD approaches, and a better understanding of MEPs’ approaches to MED in Vietnam.

Modeling ion channel dynamics through reflected stochastic differential equations

Ion channels are membrane proteins that open and close at random and play a vital role in the electrical dynamics of excitable cells. The stochastic nature of the conformational changes these proteins undergo can be significant, however current stochastic modeling methodologies limit the ability to study such systems. Discrete-state Markov chain models are seen as the "gold standard," but are computationally intensive, restricting investigation of stochastic effects to the single-cell level. Continuous stochastic methods that use stochastic differential equations (SDEs) to model the system are more efficient but can lead to simulations that have no biological meaning. In this paper we show that modeling the behavior of ion channel dynamics by a reflected SDE ensures biologically realistic simulations, and we argue that this model follows from the continuous approximation of the discrete-state Markov chain model. Open channel and action potential statistics from simulations of ion channel dynamics using the reflected SDE are compared with those of a discrete-state Markov chain method. Results show that the reflected SDE simulations are in good agreement with the discrete-state approach. The reflected SDE model therefore provides a computationally efficient method to simulate ion channel dynamics while preserving the distributional properties of the discrete-state Markov chain model and also ensuring biologically realistic solutions. This framework could easily be extended to other biochemical reaction networks. © 2012 American Physical Society.

Group dynamics and software engineering

This paper reports on an experiment that was conducted to determine the extent to which group dynamics impacts on the effectiveness of software development teams. The experiment was conducted on software engineering project students at the Queensland University of Technology (QUT).

Stigmergy in Web 2.0 : a model for site dynamics

Building Web 2.0 sites does not necessarily ensure the success of the site. We aim to better understand what improves the success of a site by drawing insight from biologically inspired design patterns. Web 2.0 sites provide a mechanism for human interaction enabling powerful intercommunication between massive volumes of users. Early Web 2.0 site providers that were previously dominant are being succeeded by newer sites providing innovative social interaction mechanisms. Understanding what site traits contribute to this success drives research into Web sites mechanics using models to describe the associated social networking behaviour. Some of these models attempt to show how the volume of users provides a self-organising and self-contextualisation of content. One model describing coordinated environments is called stigmergy, a term originally describing coordinated insect behavior. This paper explores how exploiting stigmergy can provide a valuable mechanism for identifying and analysing online user behavior specifically when considering that user freedom of choice is restricted by the provided web site functionality. This will aid our building better collaborative Web sites improving the collaborative processes.

Detecting common dynamics in transitory components

This paper considers VECMs for variables exhibiting cointegration and common features in the transitory components. While the presence of cointegration between the permanent components of series reduces the rank of the long-run multiplier matrix, a common feature among the transitory components leads to a rank reduction in the matrix summarizing short-run dynamics. The common feature also implies that there exists linear combinations of the first-differenced variables in a cointegrated VAR that are white noise and traditional tests focus on testing for this characteristic. An alternative, however, is to test the rank of the short-run dynamics matrix directly. Consequently, we use the literature on testing the rank of a matrix to produce some alternative test statistics. We also show that these are identical to one of the traditional tests. The performance of the different methods is illustrated in a Monte Carlo analysis which is then used to re-examine an existing empirical study. Finally, this approach is applied to provide a check for the presence of common dynamics in DSGE models.