Identifying the triggers for management services in business transformation management

Business transformations are complex organisational change endeavours that result in a business performing current work differently, or performing different work. Information Technology (IT) is a key enabler of such initiatives, but comes with its challenges, as revamping the IT infrastructure in large-scale organisations implies high complexity, high risk, and often high failure rates. We view business transformations as a collection of management services that are demanded and enacted at a program level, defined as abstract resources that provide the managerial capabilities necessary for business transformations. In this research-in-progress, we explore what triggers the need for management services in response to the challenges in business transformation management. We analyse data from two exploratory case studies using the critical incident technique as our qualitative analysis method. Early findings indicate that management service triggers reside on either the strategic level, which may be internally or externally driven, or at the program management level, which may be situational, influential or reactional. We detail implications for our on-going research.

The changing role of actors in the participatory project for rural craftspeople

This paper examines the role of actors in a participatory project, a case study of the glass-bead traditional craft industry in rural Indonesia. The project aimed to unite and empower rural craftspeople with regard to their unique potential. The problems of empowering rural craftspeople were complicated, due to the interrelated aspect of rural community life, cultural and educational backgrounds, as well as the local political situation. However, through a comprehensive understanding of the community prior to the project and by maintaining the communication, craftspeople were engaged actively in the project by promoting the craft industry to local buyers. The researcher, other facilitators and the community leader gave supportive roles at the middle and the end stage of the project.

The influence of temperature and introduction point on the detection of Rhyzopertha dominica in stored grain

The presence of insect pests in grain storages throughout the supply chain is a significant problem for farmers, grain handlers, and distributors world-wide. Insect monitoring and sampling programmes are used in the stored grains industry for the detection and estimation of pest populations. At the low pest densities dictated by economic and commercial requirements, the accuracy of both detection and abundance estimates can be influenced by variations in the spatial structure of pest populations over short distances. Geostatistical analysis of Rhyzopertha dominica populations in 2 and 3 dimensions showed that insect numbers were positively correlated over short (0.5 cm) distances, and negatively correlated over longer (.10 cm) distances. At 35 C, insects were located significantly further from the grain surface than at 25 and 30 C. Dispersion metrics showed statistically significant aggregation in all cases. The observed heterogeneous spatial distribution of R. dominica may also be influenced by factors such as the site of initial infestation and disturbance during handling. To account for these additional factors, I significantly extended a simulation model that incorporates both pest growth and movement through a typical stored-grain supply chain. By incorporating the effects of abundance, initial infestation site, grain handling, and treatment on pest spatial distribution, I developed a supply chain model incorporating estimates of pest spatial distribution. This was used to examine several scenarios representative of grain movement through a supply chain, and determine the influence of infestation location and grain disturbance on the sampling intensity required to detect pest infestations at various infestation rates. This study has investigated the effects of temperature, infestation point, and grain handling on the spatial distribution and detection of R. dominica. The proportion of grain infested was found to be dependent upon abundance, initial pest location, and grain handling. Simulation modelling indicated that accounting for these factors when developing sampling strategies for stored grain has the potential to significantly reduce sampling costs while simultaneously improving detection rate, resulting in reduced storage and pest management cost while improving grain quality.

Carnivore : an investigation into the ways that serial killers in the Silence of the Lambs, American Psycho and Darkly Dreaming Dexter are representative of consumers

Serial killers are among the most popular and enduring character types in contemporary culture. In this exegesis I investigate one of the reasons for this popularity by examining the representational relationships between serial killers and serial consumers. I initially establish that all monsters, whether they are vampires, werewolves or serial killers, emerge from cultural anxieties and signify the anxiety which gave them birth. I go on to identify that the cultural anxiety at play with serial killers is consumerism and in doing so, I identify two key parallels between the serial killer and the consumer, namely a sense of lack and a desire for transformation. I then examine the ways in which the serial killer is representative of the consumer in three exemplar texts, The Silence of the Lambs by Thomas Harris, American Psycho by Bret Easton Ellis and Darkly Dreaming Dexter by Jeff Lindsay. I go on to self-reflexively examine the creation of my novel Carnivore, the accompanying draft of which has been influenced by both the exemplar texts and the findings of the exegesis.

Fractional models for the migration of biological cells in complex spatial domains

Travelling wave phenomena are observed in many biological applications. Mathematical theory of standard reaction-diffusion problems shows that simple partial differential equations exhibit travelling wave solutions with constant wavespeed and such models are used to describe, for example, waves of chemical concentrations, electrical signals, cell migration, waves of epidemics and population dynamics. However, as in the study of cell motion in complex spatial geometries, experimental data are often not consistent with constant wavespeed. Non-local spatial models have successfully been used to model anomalous diffusion and spatial heterogeneity in different physical contexts. In this paper, we develop a fractional model based on the Fisher-Kolmogoroff equation and analyse it for its wavespeed properties, attempting to relate the numerical results obtained from our simulations to experimental data describing enteric neural crest-derived cells migrating along the intact gut of mouse embryos. The model proposed essentially combines fractional and standard diffusion in different regions of the spatial domain and qualitatively reproduces the behaviour of neural crest-derived cells observed in the caecum and the hindgut of mouse embryos during in vivo experiments.

The location of Ti atom in sodium alanate : an ab initio spin-polarised study

In this work, ab initio spin-polarised Density Functional Theory (DFT) calculations are performed to study the interaction of a Ti atom with a NaAlH4(001) surface. We confirm that an interstitially located Ti atom in the NaAlH4 subsurface is the most energetically favoured configuration as recently reported (Chem. Comm. (17) 2006, 1822). On the NaAlH4(001) surface, the Ti atom is most stable when adsorbed between two sodium atoms with an AlH4 unit beneath. A Ti atom on top of an Al atom is also found to be an important structure at low temperatures. The diffusion of Ti from the Al-top site to the Na-bridging site has a low activation barrier of 0.20 eV and may be activated at the experimental temperatures (∼323 K). The diffusion of a Ti atom into the energetically favoured subsurface interstitial site occurs via the Na-bridging surface site and is essentially barrierless.

The benefit of modeling jumps in realized volatility for risk prediction : evidence from Chinese mainland stocks

Recent literature has focused on realized volatility models to predict financial risk. This paper studies the benefit of explicitly modeling jumps in this class of models for value at risk (VaR) prediction. Several popular realized volatility models are compared in terms of their VaR forecasting performances through a Monte Carlo study and an analysis based on empirical data of eight Chinese stocks. The results suggest that careful modeling of jumps in realized volatility models can largely improve VaR prediction, especially for emerging markets where jumps play a stronger role than those in developed markets.

The role of human capital in economic growth revisited

Benhabib and Spiegel (1994) examine the role of human capital in the development process empirically using a theory-driven specification rather than the standard production function approach. While they find evidence of a positive impact of human capital on income growth, their result is not robust to the inclusion of inequality as an additional covariate. Using an alternate dataset and different measures of inequality, we find robust support for the hypothesis that human capital matters even when we account for the adverse effect of income inequality on growth.

Proteomics science and society :the role of knowledge translation in moving towards clinical applications

Gaining support for proteomics science requires effective knowledge translation. Knowledge translation (KT) processes turn the evidence generated by scientific discovery into recommendations for clinical applications, funding priorities, and policy/regulatory reforms. Clinicians, regulators, and funders need to understand why emerging proteomics knowledge is relevant, and what are the potential applications of that knowledge. A lack of clarity remains about what KT means.

The "new advocacy" and the ermergence of lawyer representatives in ADR

This article traces the emergence of “the new advocacy” role for lawyers, that of “dispute resolution advocacy”, describing the role of legal practitioners when representing clients in negotiation, mediation and conciliation processes. The dispute resolution models they may encounter and the different types of assistance that lawyers can provide to their clients in such contexts will be discussed. Whether “dispute resolution advocacy” falls under the umbrella of “non-adversarial practice” or is a separate and distinct role will also be explored, in light of the professional obligations of lawyer representatives, particularly the duty of loyalty to their clients.

The design science research roadmap : in progress evaluation

Although Design Science Research (DSR) is now an accepted approach to research in the Information Systems (IS) discipline, consensus on the methodology of DSR has yet to be achieved. Lack of a comprehensive and detailed methodology for Design Science Research (DSR) in the Information System (IS) discipline is a main issue. Prior research (the parent-study) aimed to remedy this situation and resulted in the DSR-Roadmap (Alturki et al., 2011a). Continuing empirical validation and revision of the DSR-Roadmap strives towards a methodology with appropriate levels of detail, integration, and completeness for novice researchers to efficiently and effectively conduct and report DSR in IS. The sub-study reported herein contributes to this larger, ongoing effort. This paper reports results from a formative evaluation effort of the DSR-Roadmap conducted using focus group analysis. Generally, participants endorsed the utility and intuitiveness of the DSR-Roadmap, while also suggesting valuable refinements. Both parent-study and sub-study make methodological contributions. The parent-study is the first attempt of utilizing DSR to develop a research methodology showing an example of how to use DSR in research methodology construction. The sub-study demonstrates the value of the focus group method in DSR for formative product evaluation.

Post-disaster reconstruction: a statistical overview of the barriers for community participation in Afghanistan

When a community already torn by an event such as a prolonged war, is then hit by a natural disaster, the negative impact of this subsequent disaster in the longer term can be extremely devastating. Natural disasters further damage already destabilised and demoralised communities, making it much harder for them to be resilient and recover. Communities often face enormous challenges during the immediate recovery and the subsequent long term reconstruction periods, mainly due to the lack of a viable community involvement process. In post-war settings, affected communities, including those internally displaced, are often conceived as being completely disabled and are hardly ever consulted when reconstruction projects are being instigated. This lack of community involvement often leads to poor project planning, decreased community support, and an unsustainable completed project. The impact of war, coupled with the tensions created by the uninhabitable and poor housing provision, often hinders the affected residents from integrating permanently into their home communities. This paper outlines a number of fundamental factors that act as barriers to community participation related to natural disasters in post-war settings. The paper is based on a statistical analysis of, and findings from, a questionnaire survey administered in early 2012 in Afghanistan.