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EN
The paper presents the results of the second stage of research on business models of language schools. It was assumed that there is a significant difference in the value propositions of schools and the expectations of their clients. An examination procedure was planned with the use of a questionnaire and statistical analysis such as factor analysis, on its basis. Respondents consisted of a group of school managers (representing the majority of enterprises in Lower Silesia) on the one hand and, on the other hand, a large group of former and current clients. The results of the research confirm the existence of a gap in the perception of the values of both groups. The analysis has been conducted in the convention of the business model canvas template. The distinctness of the offer’s perception is presented in the form of activity packages, responsible for creating value for the clients (the right side of the model canvas). The structure of the packages, as a picture of the gap, is discussed. The results of the first stage of the research, diagnosing the influence of the surrounding elements on the business models of language schools, are also referred to. Directional changes in the business models that result from both stages of the research are suggested. The strategic dimension of the gap results from the strategy-business model relation. In light of the literature review, it may be supposed that the research is unique due to the segment of subjects and research methodology.
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Content available remote Specialized Predictor for Reaction Systems with Context Properties
EN
Reaction systems are a qualitative formalism for modeling systems of biochemical reactions characterized by the non-permanency of the elements: molecules disappear if not produced by any enabled reaction. Reaction systems execute in an environment that provides new molecules at each step. Brijder, Ehrenfeucht and Rozemberg introduced the idea of predictors. A predictor of a molecule s, for a given n, is the set of molecules to be observed in the environment to determine whether s is produced or not at step n by the system. We introduced the notion of formula based predictor, that is a propositional logic formula that precisely characterizes environments that lead to the production of s after n steps. In this paper we revise the notion of formula based predictor by defining a specialized version that assumes the environment to provide molecules according to what expressed by a temporal logic formula. As an application, we use specialized formula based predictors to give theoretical grounds to previously obtained results on a model of gene regulation.
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