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  • 1
    Online Resource
    Online Resource
    Common Ground Research Networks ; 2021
    In:  The International Journal of Communication and Linguistic Studies Vol. 19, No. 1 ( 2021), p. 33-47
    In: The International Journal of Communication and Linguistic Studies, Common Ground Research Networks, Vol. 19, No. 1 ( 2021), p. 33-47
    Type of Medium: Online Resource
    ISSN: 2327-7882 , 2327-8617
    URL: Issue
    Language: Unknown
    Publisher: Common Ground Research Networks
    Publication Date: 2021
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  • 2
    Online Resource
    Online Resource
    Entrepreneurship and Sustainability Center ; 2021
    In:  Entrepreneurship and Sustainability Issues Vol. 9, No. 1 ( 2021-9-30), p. 287-299
    In: Entrepreneurship and Sustainability Issues, Entrepreneurship and Sustainability Center, Vol. 9, No. 1 ( 2021-9-30), p. 287-299
    Type of Medium: Online Resource
    ISSN: 2345-0282
    URL: Issue
    Language: English
    Publisher: Entrepreneurship and Sustainability Center
    Publication Date: 2021
    detail.hit.zdb_id: 2815317-0
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  • 3
    Online Resource
    Online Resource
    LLC CPC Business Perspectives ; 2023
    In:  Problems and Perspectives in Management Vol. 21, No. 3 ( 2023-08-15), p. 316-329
    In: Problems and Perspectives in Management, LLC CPC Business Perspectives, Vol. 21, No. 3 ( 2023-08-15), p. 316-329
    Abstract: Innovation plays a crucial role in ensuring economic growth and competitiveness of national economies, creating conditions for their sustainable development. By focusing on supporting innovation, the EU is particularly helping to accelerate the development of those member states that lag far behind the EU average. This requires the selection of the indicators reflecting the development of innovation that determine the differences between member countries to the greatest extent. Therefore, the aim of the study is to identify the key factors of the innovation gap (FIG) between EU countries based on a comparison of indicators characterizing the national innovation systems (NIS). For this purpose, 22 relative indicators were selected from the indicators included in the Global Innovation Index to form an array of empirical data. At the first stage, the EU countries were divided into four clusters using the k-means method. At the second stage, using the decision tree method, a group of indicators was identified that together distinguish the obtained clusters to the greatest extent and, accordingly, determine the differences between EU countries and can be considered as FIG, namely: “Researchers”, “GERD financed by business”, “Joint venture/strategic alliance deals”, “Software spending”, and “High-tech manufacturing”. This allows individual member states to prioritize the development of those indicators (i.e. FIG) that most determine their position in the EU and therefore improve their NIS. At the EU level, this will contribute to the complementarity of the NIS, overcome differences between member states and increase the overall level of convergence in innovation.
    Type of Medium: Online Resource
    ISSN: 1727-7051 , 1810-5467
    Uniform Title: Determining the key factors of the innovation gap between EU countries
    Language: Unknown
    Publisher: LLC CPC Business Perspectives
    Publication Date: 2023
    detail.hit.zdb_id: 2156679-3
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Infonomics Society ; 2018
    In:  International Journal for Information Security Research Vol. 8, No. 1 ( 2018-03-30), p. 785-793
    In: International Journal for Information Security Research, Infonomics Society, Vol. 8, No. 1 ( 2018-03-30), p. 785-793
    Type of Medium: Online Resource
    ISSN: 2042-4639
    URL: Issue
    Language: Unknown
    Publisher: Infonomics Society
    Publication Date: 2018
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  • 5
    Online Resource
    Online Resource
    LLC CPC Business Perspectives ; 2021
    In:  Problems and Perspectives in Management Vol. 19, No. 3 ( 2021-09-17), p. 332-344
    In: Problems and Perspectives in Management, LLC CPC Business Perspectives, Vol. 19, No. 3 ( 2021-09-17), p. 332-344
    Abstract: The increased final consumption exacerbates the problem of the scarcity of natural resources and leads to environmental pollution. The concept of circular economy, which implies the formation of closed-loop chains of production and consumption with maximum regeneration and recycling of materials, is considered as an alternative to the firmly established “linear economy” (take-make-dispose). As a part of sustainable development strategy, the European Union adopted a general policy on the transition to a circular economy. However, for objective reasons, such transition is quite uneven at the level of member countries, which adversely affects the total progress. Therefore, the need arises to assess the positions of individual countries and identify major reasons for the uneven transition to support the countries that are lagging.The goal of the study is to identify the factors of uneven progress of the EU countries towards a circular economy. For that reason, a set of empirical data (20 indicators) has been compiled; cluster, classification, and parametric analyses have been conducted. As a result, three clusters of the EU countries have been obtained and six indicators, included into combinations that make all clusters different, have been identified. These indicators can be interpreted as the key factors contributing to the uneven progress of the EU countries towards a circular economy. The difference in harmonic means by clusters allowed quantitatively estimating a “circular gap”. It is of practical value for the EU policy aimed at bridging the gaps between member countries during the transition to a circular economy.
    Type of Medium: Online Resource
    ISSN: 1727-7051 , 1810-5467
    Uniform Title: Factors of uneven progress of the European Union countries towards a circular economy
    Language: Unknown
    Publisher: LLC CPC Business Perspectives
    Publication Date: 2021
    detail.hit.zdb_id: 2156679-3
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    LLC CPC Business Perspectives ; 2020
    In:  Knowledge and Performance Management Vol. 4, No. 1 ( 2020-12-23), p. 15-25
    In: Knowledge and Performance Management, LLC CPC Business Perspectives, Vol. 4, No. 1 ( 2020-12-23), p. 15-25
    Abstract: Escalating competition, technological changes and the struggle for innovation present companies with a knowledge management (KM) challenge. To implement it at the modern level, it is necessary to develop a knowledge management system (KMS). Significant opportunities for this are created by information technologies (IT), qualitatively changing approaches to knowledge management. Therefore, the study aims to clarify the theoretical foundations of shaping the company’s KMS and conceptualize information tools for its formation. Within the theoretical foundations of KM, its essence (as a systematic management activity and a set of measures to ensure the business processes of obtaining, storing, disseminating and using knowledge in the company), the subject (the aforementioned processes and various types of knowledge), and links with other types of management (innovation, information, personnel management, etc.) are specified. Given the main goals, principles and tasks of KM, its main approaches, key processes and control elements are summarized. The conceptual foundations of KMS development are formulated and its subsystems (methodological, planning, information, and functional subsystems for ensuring business processes for obtaining, distributing and using knowledge) are highlighted. Given the importance of IT, the following concepts have been formulated: a portal for R&D management, innovation management platforms, and a tool for formalizing knowledge and corporate knowledge base. Their purpose, functionality, and the role of ensuring work with knowledge and KM implementation are described. The problem of their implementation, operation and improvement is emphasized. The research results allow creating a new technological basis for the introduction of knowledge management.
    Type of Medium: Online Resource
    ISSN: 2543-5507 , 2616-3829
    Uniform Title: Information technologies for developing a company’s knowledge management system
    Language: Unknown
    Publisher: LLC CPC Business Perspectives
    Publication Date: 2020
    detail.hit.zdb_id: 3007898-2
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  • 7
    Online Resource
    Online Resource
    LLC CPC Business Perspectives ; 2021
    In:  Knowledge and Performance Management Vol. 5, No. 1 ( 2021-07-08), p. 1-13
    In: Knowledge and Performance Management, LLC CPC Business Perspectives, Vol. 5, No. 1 ( 2021-07-08), p. 1-13
    Abstract: Due to the large volumes of empirical digitized data, a critical challenge is to identify their hidden and unobvious patterns, enabling to gain new knowledge. To make efficient use of data mining (DM) methods, it is required to know its capabilities and limits of application as a cognitive tool. The paper aims to specify the capabilities and limits of DM methods within the methodology of scientific cognition. This will enhance the efficiency of these DM methods for experts in this field as well as for professionals in other fields who analyze empirical data. It was proposed to supplement the existing classification of cognitive levels by the level of empirical regularity (ER) or provisional hypothesis. If ER is generated using DM software algorithm, it can be called the man-machine hypothesis. Thereby, the place of DM in the classification of the levels of empirical cognition was determined. The paper drawn up the scheme illustrating the relationship between the cognitive levels, which supplements the well-known schemes of their classification, demonstrates maximum capabilities of DM methods, and also shows the possibility of a transition from practice to the scientific method through the generation of ER, and further from ER to hypotheses, and from hypotheses to the scientific method. In terms of the methodology of scientific cognition, the most critical fact was established – the limitation of any DM methods is the level of ER. As a result of applying any software developed based on DM methods, the level of cognition achieved represents the ER level.
    Type of Medium: Online Resource
    ISSN: 2543-5507 , 2616-3829
    Uniform Title: Data mining as a cognitive tool: Capabilities and limits
    Language: Unknown
    Publisher: LLC CPC Business Perspectives
    Publication Date: 2021
    detail.hit.zdb_id: 3007898-2
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  • 8
    Online Resource
    Online Resource
    Common Ground Research Networks ; 2018
    In:  The International Journal of Technology, Knowledge, and Society Vol. 14, No. 3 ( 2018), p. 27-45
    In: The International Journal of Technology, Knowledge, and Society, Common Ground Research Networks, Vol. 14, No. 3 ( 2018), p. 27-45
    Type of Medium: Online Resource
    ISSN: 1832-3669
    URL: Issue
    Language: Unknown
    Publisher: Common Ground Research Networks
    Publication Date: 2018
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  • 9
    Online Resource
    Online Resource
    Common Ground Research Networks ; 2020
    In:  The International Journal of Technology, Knowledge, and Society Vol. 16, No. 1 ( 2020), p. 35-48
    In: The International Journal of Technology, Knowledge, and Society, Common Ground Research Networks, Vol. 16, No. 1 ( 2020), p. 35-48
    Type of Medium: Online Resource
    ISSN: 1832-3669
    URL: Issue
    Language: Unknown
    Publisher: Common Ground Research Networks
    Publication Date: 2020
    Location Call Number Limitation Availability
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