Towards a Design Methodology for Decision Support Systems

The authors propose the use of process models for DSS design. The kind of process models suggested are task structures and decision structures with simple graphical syntax and semantics. The process models form the basis for a coherent DSS design methodology, based upon the bounded rationality paradigm. The history of DSS and DSS design is discussed to form a theoretical position. The resulting methodology has been tested and evaluated in a laboratory experiment. The results of this evaluation will be used for continuous improvement of the methodolog

An evolutionary economics approach to ecosystem dynamics

Biology and evolution lie at the heart of the ecosystem metaphor that is recurrently applied in the digital era. Although the evolution and analogy with evolutionary biology is acknowledged within the research domains of business ecosystems and digital ecosystems, several key definitions and self-organizing properties of ecosystems have not been fully explored. In addition, the diffusion process of radical innovations altering the structure of an ecosystem remains elusive. This paper addresses this deficiency through a cross-fertilization of multiple research domains, by introducing evolutionary economics concepts based on insights from biology. The research synthesis presented serves for the introduction of a novel perspective on ecosystem analysis. Practitioners will gain insight in how to apply concepts from evolutionary economics when determining their position in an ecosystem. Trade-offs can then be considered and balanced to positively impact firm performance as well as the ecosystem in which the firm operates

Стресспротекторы в коррекции воспаления слизистой оболочки полости рта

На основе данных литературы показан стрессовый характер воспалительных заболеваний слизистой оболочки полости рта и целесообразность включения в их комплексную терапию стресспротекторов.На основі даних літератури показано стресовий характер запальних захворювань слизової оболонки ротової порожнини та доцільність включення до їх комплексної терапії стреспротекторів.Based on the literature data, stress character of inflammatory diseases of the oral cavity and expediency to include in their therapy stress-protectors are shown

Patterns to Enable Mass-Customized Business Process Monitoring

Mass-customization challenges the one-size-fits-all assumption of mass production, allowing customers to specify the options that best fit their requirements when choosing a product or a service. In business process management, to achieve mass-customization, providers offer to their customers the opportunity to customize the way in which a process will be enacted. We focus on monitoring as a specific customization aspect. We propose a multidimensional classification of modeling patterns for customized monitoring infrastructures. Patterns enable the provider to offer a set of customizable options to customers and design a monitoring infrastructure that fits the preferences specified by customers on such options. An example in the online advertising industry demonstrates how our framework can improve the services currently offered by providers

Enabling Personalized Composition and Adaptive Provisioning of Web Services

The proliferation of interconnected computing devices is fostering the emergence of environments where Web services made available to mobile users are a commodity. Unfortunately, inherent limitations of mobile devices still hinder the seamless access to Web services, and their use in supporting complex user activities. In this paper, we describe the design and implementation of a distributed, adaptive, and context-aware framework for personalized service composition and provisioning adapted to mobile users. Users specify their preferences by annotating existing process templates, leading to personalized service-based processes. To cater for the possibility of low bandwidth communication channels and frequent disconnections, an execution model is proposed whereby the responsibility of orchestrating personalized processes is spread across the participating services and user agents. In addition, the execution model is adaptive in the sense that the runtime environment is able to detect exceptions and react to them according to a set of rules

The IT-CMF: A Practical Application of Design Science

The IT-Capability Maturity Model [IT-CMF] is a high-level process capability maturity framework for managing the IT function within an organization. The purpose of this paper is to explore and explain the IT-CMF as a “ method meta-model” for IT management, emphasizing the novel approach to addressing the application of design processes and design artifacts by means of a very structured use of engaged scholarship and open innovation techniques to the ongoing challenge of managing organization’s IT capability

Method Families Concept: Application to Decision-Making Methods

International audienceThe role of variability in Software engineering grows increasingly as it allows developing solutions that can be easily adapted to a specific context and reusing existing knowledge. In order to deal with variability in the method engineering (ME) domain, we suggest applying the notion of method families. Method components are organized as a method family, which is configured in the given situation into a method line. In this paper, we motivate the concept of method families by comparing the existing approaches of ME. We detail then the concept of method families and illustrate it with a family of decision-making (DM) methods that we call MADISE

Run-up parameterization and beach vulnerability assessment on a barrier island: a downscaling approach

We present a downscaling approach for the study of wave-induced extreme water levels at a location on a barrier island in Yucatán (Mexico). Wave information from a 30-year wave hindcast is validated with in situ measurements at 8 m water depth. The maximum dissimilarity algorithm is employed for the selection of 600 representative cases, encompassing different combinations of wave characteristics and tidal level. The selected cases are propagated from 8 m water depth to the shore using the coupling of a third-generation wave model and a phase-resolving non-hydrostatic nonlinear shallow-water equation model. Extreme wave run-up, R2%, is estimated for the simulated cases and can be further employed to reconstruct the 30-year time series using an interpolation algorithm. Downscaling results show run-up saturation during more energetic wave conditions and modulation owing to tides. The latter suggests that the R2% can be parameterized using a hyperbolic-like formulation with dependency on both wave height and tidal level. The new parametric formulation is in agreement with the downscaling results (r2  =  0.78), allowing a fast calculation of wave-induced extreme water levels at this location. Finally, an assessment of beach vulnerability to wave-induced extreme water levels is conducted at the study area by employing the two approaches (reconstruction/parameterization) and a storm impact scale. The 30-year extreme water level hindcast allows the calculation of beach vulnerability as a function of return periods. It is shown that the downscaling-derived parameterization provides reasonable results as compared with the numerical approach. This methodology can be extended to other locations and can be further improved by incorporating the storm surge contributions to the extreme water level