161,344 research outputs found
ADR-based Workplace Conflict Management Systems: A Case of American Exceptionalism
[Excerpt] The diffusion of ADR-based conflict management systems is a development increasingly highlighted in the literature. Organizations are seen as putting in place multiple procedures and practices so that different varieties of workplace conflict can be effectively addressed. Just why organizations are electing to introduce these integrated bundles of innovative conflict management practices is a matter of debate, but many view the development as transforming the manner in which workplace problems are managed in modern organizations, with some even pronouncing that it amounts to the rewriting of the social contract at work (Lipsky and Seeber 2006). This paper argues that to the extent to which conflict management systems are being diffused, it is occurring mainly in the USA became the institutional context for the management of the employment relationship creates considerable incentives for the adoption of ADR-inspired conflict management innovations. Other Anglo-American countries, where it might be thought reasonable to expect a similar pattern of ADR innovation at the workplace to emerge, are not experiencing any discernible shift towards conflict management systems inside organizations. It is suggested that in the absence of institutional incentives to adopt workplace management systems, organizations are unlikely to opt for radical conflict management innovations. At the same time, drawing on research in the Irish context, it is argued that tried-and-tested conflict management practices do change over time, with an incremental and evolutionary approach adopted by some organizations to upgrade practices considered the most interesting development.
The paper is organized as follows. The first section assesses why the emergence of integrated conflict management systems in organizations is considered to be a significant new development in the USA. The next section evaluates evidence and suggests that a similar pattern of workplace conflict management innovation is not occurring in other Anglo-American countries. After this evaluation, it is suggested that the institutional context in the USA creates uniquely strong incentives for organizations to adopt integrated bundles of ADR practices at the workplace - causing the emergence of conflict management systems to be a case of âAmerican exceptionalismâ. The following section argues that in the absence of strong institutional incentives to do so, organizations are unlikely to move radically away from established conflict management systems. The penultimate section explains that even in the presence of organizational inertia, conflict management practices seldom stay the same and uses research in the Irish context to suggest that organizations sometimes use an evolutionary approach to upgrade conflict management practices in an incremental yet continuous manner. The final section presents a number of case studies of this evolutionary approach to conflict management innovation. The conclusions bring together the arguments of the paper
Policies for promoting technological catch up: a post-Washington approach
This paper analyzes the evolution of policies for technology
catch-up through three periods: the import substitution period, the (augmented) Washington Consensus period and the post-Washington period. We analyze the dominant policy models and practices in each of these periods as co-evolving with the dominant academic ideas, thereby
changing the conditions for catching up. We develop several dimensions or building blocks that characterize the policies for technology catch-up. These dimensions are used to characterize each of the three policy periods
with the objective of outlining the generic features of an emerging post-Washington approach to technology catch-up policies in relation to past approaches
Policies for promoting technological catching up: towards post-Washington approach
This paper analyses the evolution of policies for technology catch-up through three periods: import-substitution, (augmented) Washington consensus and post-Washington period. We analyse the dominant policy models and practices in each of these periods as co-evolving with the dominant academic ideas, and changing the conditions for catching-up. We develop several dimensions or building blocks that characterise the policies for technology catch-up. These dimensions are used to characterise each of the three policy periods with the objective of outlining the generic features of an emerging post-Washington approach to technology catch-up policies in relation to past approaches
Multi-agent evolutionary systems for the generation of complex virtual worlds
Modern films, games and virtual reality applications are dependent on
convincing computer graphics. Highly complex models are a requirement for the
successful delivery of many scenes and environments. While workflows such as
rendering, compositing and animation have been streamlined to accommodate
increasing demands, modelling complex models is still a laborious task. This
paper introduces the computational benefits of an Interactive Genetic Algorithm
(IGA) to computer graphics modelling while compensating the effects of user
fatigue, a common issue with Interactive Evolutionary Computation. An
intelligent agent is used in conjunction with an IGA that offers the potential
to reduce the effects of user fatigue by learning from the choices made by the
human designer and directing the search accordingly. This workflow accelerates
the layout and distribution of basic elements to form complex models. It
captures the designer's intent through interaction, and encourages playful
discovery
Evolutionary design of nearest prototype classifiers
In pattern classification problems, many works have been carried out with the aim of designing good classifiers from different perspectives. These works achieve very good results in many domains. However, in general they are very dependent on some crucial parameters involved in the design. These parameters have to be found by a trial and error process or by some automatic methods, like heuristic search and genetic algorithms, that strongly decrease the performance of the method. For instance, in nearest prototype approaches, main parameters are the number of prototypes to use, the initial set, and a smoothing parameter. In this work, an evolutionary approach based on Nearest Prototype Classifier (ENPC) is introduced where no parameters are involved, thus overcoming all the problems that classical methods have in tuning and searching for the appropiate values. The algorithm is based on the evolution of a set of prototypes that can execute several operators in order to increase their quality in a local sense, and with a high classification accuracy emerging for the whole classifier. This new approach has been tested using four different classical domains, including such artificial distributions as spiral and uniform distibuted data sets, the Iris Data Set and an application domain about diabetes. In all the cases, the experiments show successfull results, not only in the classification accuracy, but also in the number and distribution of the prototypes achieved.Publicad
"Going back to our roots": second generation biocomputing
Researchers in the field of biocomputing have, for many years, successfully
"harvested and exploited" the natural world for inspiration in developing
systems that are robust, adaptable and capable of generating novel and even
"creative" solutions to human-defined problems. However, in this position paper
we argue that the time has now come for a reassessment of how we exploit
biology to generate new computational systems. Previous solutions (the "first
generation" of biocomputing techniques), whilst reasonably effective, are crude
analogues of actual biological systems. We believe that a new, inherently
inter-disciplinary approach is needed for the development of the emerging
"second generation" of bio-inspired methods. This new modus operandi will
require much closer interaction between the engineering and life sciences
communities, as well as a bidirectional flow of concepts, applications and
expertise. We support our argument by examining, in this new light, three
existing areas of biocomputing (genetic programming, artificial immune systems
and evolvable hardware), as well as an emerging area (natural genetic
engineering) which may provide useful pointers as to the way forward.Comment: Submitted to the International Journal of Unconventional Computin
Big Dreams for Small Creatures: Ilana and Eugene Rosenbergâs path to the Hologenome Theory
A biographical sketch of the Hologenome Theory
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