International strategy: is it meeting the challenge?

The paper proposes an IS process model comprising inputs, development, outputs and a feedback loop based on performance measurement and its interpretation. The feedback impacts on the inputs and development components. Inputs are comprised of market information. human resources, diversity, value creation and host country environmental factors. Development includes preparation and learning. planning and scrutinising partnerships. anticipating impacts of globalisation and experience effects. Outputs comprise structure, scope of operations, target countries. facility location and positioning. Performance interpretation explains rapid and major changes in IS outputs, such as structure and business unit portfolios, whilst process complexity explains observed output similarities for organisations reacting to similar inputs and suggests an evolutionary approach in their determination.

International strategy : is it meeting the challenge?

International strategy (IS) is the approach by which an organisation's capabilities and resources are directed to generate value utilising the global market's opportunities (and risks). Many of the largest multinationals invest significant resources in their IS, however, the literature does not offer any substantive model for the process. This paper presents a model of the IS process which comprises two parts, the first part is made up of inputs, development and outputs and the second comprises a feedback loop based on organisational performance measurement and its interpretation which impacts on the first part stages of inputs and development. The content of the model is explained and justified using examples of practice. Inputs are comprised of market information, human resources, diversity and value creation and host country environmental factors. Development is comprised of preparation and learning, planning and scrutinising partnerships, anticipating impacts of globalisation, anticipating impacts of technology, location, experience effects, planning competencies, planning for cost effectiveness, scenario planning, planning structures and operations, leadership and ethics. Outputs are comprised of structure, scope of operations, target countries, facility location and positioning. Performance interpretation explains rapid and major changes in IS outputs, such as structure
and business unit portfolios, whilst process complexity explains observed output similarities for organisations reacting to similar inputs and suggests an evolutionary approach in their determination.

Análise da acessibilidade urbana para o planejamento da urbanização de interesse social

An analysis of housing issues in the city of Canela (RS, Brazil) has been made in 2008 as part of the development of the Master Plan for Housing. The present paper deals with one component of this analysis, which is the assessment of urban accessibility for low-income population, and its consequences on the treatment of the problem of current shortage of low-income housing and the future demand from population growth until 2020. A three steps method is applied: (i) urban mobility is assessed and mapped on the basis of the road system and the routes of public transport; (ii) accessibility to different urban services, such as public education and health, recreation, consumption and jobs are measured and mapped considering the location of urban facilities, population distribution divided by income and age, and urban mobility; (iii) one map for urban accessibility is produced as a result of the weighted combination of accessibility to different urban facilities. This final urban accessibility map is then overlayed to empty urban lots with size and land value appropriate to low-income housing, and a simulation of their development over the future has been made. The lots with higher accessibility were selected, and the impact of urban development was assessed on the capacity of education facilities. Based on this study, we made some preliminary suggestions for widening places in some schools, the need for a new education facility (location and size) and the extension of public transport for an area with low accessibility.

Adaption reveals a neural code for the visual location of orientation change

We apply an adaptation technique to explore the neural code for the visual location of textures defined by modulation of orientation over space. In showing that adaptation to textures modulated around one orientation shifts the perceived location of textures modulated around a different orientation, we demonstrate the existence of a neural code for the location of orientation change that generalises across orientation content. Using competitive adaptation, we characterise the neural processes underlying this code as single-opponent for orientation, that is with concentric excitatory/inhibitory receptive areas tuned to a single orientation.

Location dependency and sport sponsors : a factor analytic study

Theories explaining the mechanics of sport sponsorship relationships arc underdeveloped (Gilbert, 1 988; Hock, Gendall, & West, 1990; Pope, 1 998), bolstered by studies lacking systematic methods (Kuzma, Shanklin, & McCall, 1993) and tending toward broad, descriptive, macro-level analysis (Sandler & Shani, 1993). This paper attempts to redress this empirical chasm in a small way by examining an element of the sponsorship relationship. Specifically this paper explores the importance of one particular mode of sponsorship delivery: the location of a venue containing sponsor affiliations or what has been named location dependency. Location dependency of sport sponsors has been shown to be a pivotal determinant when devising sponsorship proposals or when assessing the attractiveness of a sponsorship opportunity (Wester- beek, 2000). Factor analysis was used to determine if sponsors' response patterns would deliver a number of constructs that could be related to the concept of location dependency. Factor analysis revealed five factors that principally reinforced the notion of location dependency of sponsorship. T-tests delivered significant differences between location dependent and location independent sponsors on some of the factors. The results of this study suggest that appreciating the concept of location dependency may assist companies in the effective discharge of their sponsorship decisions.

On the perceived location of global motion

We measured the effects of coherent motion of one set of dots on the perceived location of Gaussian envelopes formed by luminance modulation of a second set of dots. Perceived shifts in envelope location in the direction of coherent motion were obtained even when the dots forming the envelopes did not physically move in the direction of coherent motion. In such cases, perceived shifts coincided with stimulus configurations that permitted motion integration of the envelope dots with the coherently moving dots, for example, when envelope dots moved in random directions as opposed to being static. In subsequent experiments we explored the type of motion integration underlying the positional shifts obtained. We discounted the possibility that the visual system incorrectly attributes motion signals associated with coherently moving dots to envelope dots by demonstrating that positional shifts could be obtained even when the coherent dots were laterally displaced to either side of the envelope dots such that the regions occupied by the dots did not overlap. We also discounted spatio-temporal summation within the receptive fields of low-spatial-frequency motion-sensitive mechanisms by demonstrating that positional shifts persisted even when the dot displays were high-pass filtered. These results, coupled with the observation that the proportion of coherently moving dots required to produce positional shifts correlated well with global motion thresholds measured for the same dot configurations, suggests that visual processes which underlie motion-dependent positional shifts are based at least in part on cooperative interactions of the type implicated in global motion.

Application of a discrete event simulation for robust system design of a melt facility

This paper presents a methodology to identify robust operating regions through the selection of controllable factory variables, using discrete event simulation. A casting plant melt facility was used as an industrial test bed to develop these techniques. A robust system design was determined by response surface analysis of key production parameters. Furthermore, robust operating policies that maximise throughput, while minimizing work-in-progress and thus energy consumption were identified.

The development of an efficient checkpointing facility exploiting operating systems services of the GENESIS cluster operating system

Recent research efforts of parallel processing on non-dedicated clusters have focused on high execution performance, parallelism management, transparent access to resources, and making clusters easy to use. However, as a collection of independent computers used by multiple users, clusters are susceptible to failure. This paper shows the development of a coordinated checkpointing facility for the GENESIS cluster operating system. This facility was developed by exploiting existing operating system services. High performance and low overheads are achieved by allowing the processes of a parallel application to continue executing during the creation of checkpoints, while maintaining low demands on cluster resources by using coordinated checkpointing.

Robust extended Kalman filter based technique for location management in PCS networks

Provisioning of real-time multimedia sessions over wireless cellular network poses unique challenges due to frequent handoff and rerouting of a connection. For this reason, the wireless networks with cellular architecture require efficient user mobility estimation and prediction. This paper proposes using Robust Extended Kalman Filter as a location heading altitude estimator of mobile user for next cell prediction in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm reduces the system complexity (compared to existing approach using pattern matching and Kalman filter) as it requires only two base station measurements or only the measurement from the closest base station. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model. Through simulation, we show the accuracy and simplicity in implementation of our prediction algorithm.

Robustness to non-normality of various tests for the one-sample location problem

This paper studies the effect of the normal distribution assumption on the power and size of the sign test, Wilcoxon's signed rank test and the t-test when used in one-sample location problems. Power functions for these tests under various skewness and kurtosis conditions are produced for several sample sizes from simulated data using the g-and-k distribution of MacGillivray and Cannon.

Prediction based location aided routing for mobile ad hoc networks

Routing in ad hoc networks faces significant challenges due to node mobility and dynamic network topology. In this work we propose the use of mobility prediction to reduce the search space required for route discovery. A method of mobility prediction making use of a sectorized cluster structure is described with the proposal of the Prediction based Location Aided Routing (P-LAR) protocol. Simulation study and analytical results of P-LAR find it to offer considerable saving in the amount of routing traffic generated during the route discovery phase.

The application of a reinforcement learning agent to a multi-product manufacturing facility

An intelligent agent-based scheduling system, consisting of a reinforcement learning agent and a simulation model has been developed and tested on a classic scheduling problem. The production facility studied is a multiproduct serial line subject to stochastic failure. The agent goal is to minimise total production costs, through selection of job sequence and batch size. To explore state space the agent used reinforcement learning. By applying an independent inventory control policy for each product, the agent successfully identified optimal operating policies for a real production facility.