....................................................................................................................... v ACKNOWLEDGEMENT ................................................................................................. v DEDICATION.................................................................................................................. vii LIST OF TABLES ............................................................................................................ xi LIST OF FIGURES ......................................................................................................... xii ABRREVIATIONS AND ACRONYMS....................................................................... xiii CHAPTER ONE ................................................................................................................ 1 1.0 INTRODUCTION........................................................................................................ 1 1.1 Background of the Study ............................................................................................... 1 1.2 Problem Statement ......................................................................................................... 6 1.3 Purpose of the Study ...................................................................................................... 7 1.4 Research Questions ........................................................................................................ 8 1.5 Significance of the Study ............................................................................................... 8 1.6 Scope of the Study ......................................................................................................... 9 1.7 Definition of Terms........................................................................................................ 9 1.8 Chapter Summary ........................................................................................................ 10 CHAPTER TWO ............................................................................................................. 11 2.0 LITERATURE REVIEW ......................................................................................... 11 2.

Response Strategies Adopted By Commercial Banks In Kenya For Gaining Competitive Advantage

Purpose: Digital technologies create a fundamentally different model of today’s reality. It is a model that enables fairly effective fundamental developments, allowing us to reach a high level of knowledge management in the area of science and technological progress.

Digital Transformation of the Industrial Sector: Challenges and Prospects

The research relevance is provided by the need to develop and apply in practice new tools for analyzing and visualizing economic data in the space industry, since the infographic analysis methods and traditional multiparameter analysis require a lot of time operating with big data, without providing some hidden patterns. An approach to the exploratory neural network analysis and visualization of economic data using soft computing technologies (fuzzy interval logic, artificial neural networks) in management decision-making in the space industry has been proposed. The means of cognitive visualization and management decision support – an exploratory (emergent) neural network map has been considered. The application of the self-organizing Kohonen map to searching for correlations and visual grouping of economic data has been analyzed. The authors’ initial hypothesis that soft computing methods, in particular artificial neural networks, are suitable for the analyzing economic data in the space industry has been confirmed.

An approach to exploratory neural network analysis and visualization of economic data in the space industry

The article discusses the economic processes that occur during the commercialization and provision of a new type of consumer and production services in the field of space activities, explores the concept and structure of the global and Russian space services markets, which are not a single whole and include a number of areas: launch services market, geoinformation market services, the market for navigation and geodetic services, the market for space communications, television and telecommunications, the market for space services to strengthen defense s countries and the development of basic sciences; the role of Russia in the space activity market is revealed, special attention is paid to the commercial use of space tools for remote sensing of the Earth, the prospects for the development of the space activity market and its transformation into a popular business area through the formation of space tourism markets and interplanetary spacecraft are determined.

Space services market development

Cognitive factors of production: setting a research problem

Improving the knowledge management (KM) capability in order to gain sustainable competitive advantages has emerged as an important strategy for addressing recurring problems in a new product development such a long time-to-market, riskiness and high development costs. Synthesizing prior theoretical research in innovation management, competitive advantages, KM and practical activities of high-technology engineering enterprises it is posited that innovation, engineering processes and organizational culture are important antecedents of KM capability. However, it is vague whether the KM capability as a mediator affects competitive advantages. The aim of the paper is to explore the impact of the KM capability in hightechnology engineering enterprises. To achieve this aim we have contributed an empiric research in which 50 high-technology engineering enterprises of Russia were involved. The regression analysis is applied to analyze the obtained empiric data. Among the three selected antecedents the engineering processes have the most impact on the KM capability. The research hasn’t proved the mediating role between the KM capability and competitive advantages because of relative novelty of this phenomenon to Russian hightechnology enterprises.

Alexander Gudkov

Papers

The Knowledge Managment Capability of High-Technology Enterprises.