From local to regional competitive advantage (The case of Nikita's Homestead in Olkhon island - Baikal)

Paper deals with the issue of a competitive advantage on the local level, its specifics, factors and a process of its creation, exploitation and building by using unique empirical case study. Through the theoretical knowledge, empirical research results and case study we want to point out how building a competitive advantage on the local level influences the development of the region and building of a strong competitive advantage on the regional level. The main aim of the paper is to define the process of identification, creation, building and exploitation of the local competitive advantage based on internal resources and cooperation and its influence on building the strong regional competitive advantage. The aim of the paper is fulfilled through processing wide theoretical knowledge supported by own empirical research results and an attractive case study. In the first part of the paper the theoretical knowledge about competitive advantage on the local level is processed. There are several theoretical approaches to a competitive advantage. As two basic approaches can be considered a market-based approach to the competitive advantage and a competitive advantage based on resources. A compromise between these two approaches offers demand orientated approach based on marketing places principles. A theoretical part of the paper is supported by the results of own empirical research aimed on identification and exploitation a competitive advantage on the regional and local level, its factors and their importance. The second part of the paper is dedicated to the methodology and results of own empirical research. The empirical research was realized through questionnaire survey by the Delphi method with an expert group consisting of domestic and foreign experts dealing with the issue of competitiveness and a competitive advantage. The third part of the paper summarizes practical implications of theoretical knowledge and empirical research results on the example of creating unique local production system located on the island Olkhon in lake Baikal. A basis for this local competitive advantage creates an excellent location on the island Olkhon inside the Baikal lake near the sacred place for Buryats. This uniqueness together with experienced and skilled human resources, developing and building of cooperation with the local suppliers and great reputation among the travelers from all over the world create strong inimitable competitive advantage. Even this competitive advantage is on the local level; it develops positively the whole island and helps to create the strong regional competitive advantage. The empirical case study is based on own experience gained during the research stay in Siberian Russia. The end of the paper includes conclusions, recommendation and inspiration for a practical exploitation of knowledge and experience contained in the paper

Factors of Competitive Advantage of Territory on the Regional Level

The main aim of the paper is to identify the meaning of factors which influence creation, identification and utilization of competitive advantage of territory on the regional level. Through the theoretical knowledge and its analogical using in the conditions of regions and through the results of own researches, we characterize the meaning of various factors on the regional competitiveness. The basic assumption of the paper is that the market is the key element which defines the real competitive advantage which has the strategic meaning for regional development. The paper identifies the key factors of competitiveness including the cooperation in the conditions of regions and brings new theoretical approach to the utilization of competitive advantage in t erritories.Competitive advantage; regions; factors

Data processing pipeline for cardiogenic shock prediction using machine learning

Introduction: Recent advances in machine learning provide new possibilities to process and analyse observational patient data to predict patient outcomes. In this paper, we introduce a data processing pipeline for cardiogenic shock (CS) prediction from the MIMIC III database of intensive cardiac care unit patients with acute coronary syndrome. The ability to identify high-risk patients could possibly allow taking pre-emptive measures and thus prevent the development of CS. Methods: We mainly focus on techniques for the imputation of missing data by generating a pipeline for imputation and comparing the performance of various multivariate imputation algorithms, including k-nearest neighbours, two singular value decomposition (SVD)-based methods, and Multiple Imputation by Chained Equations. After imputation, we select the final subjects and variables from the imputed dataset and showcase the performance of the gradient-boosted framework that uses a tree-based classifier for cardiogenic shock prediction. Results: We achieved good classification performance thanks to data cleaning and imputation (cross-validated mean area under the curve 0.805) without hyperparameter optimization. Conclusion: We believe our pre-processing pipeline would prove helpful also for other classification and regression experiments