FM - Digital Transformation

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Browsing FM - Digital Transformation by Author "Brătianu, Constantin"

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    National security intelligence and business intelligence : a comparative analysis
    (Bucharest University of Economic Studies, 2023-05) Brătianu, Constantin; Budeanu, Nicolae Alexandru
    Being one of the most important assets in governmental organizations and private companies, intelligence became a subject of interest for both researchers and practitioners in the last decades. In the literature, the concept of “intelligence” has got many meanings and interpretations, like psychological intelligence, emotional intelligence, spiritual intelligence, social intelligence, organizational intelligence, business intelligence, competitive intelligence, and national security intelligence. The core meaning of all these different specialized concepts remains the same: the capacity of processing data, information, and knowledge. Their differences come from the context in which these processes operates and the mission of the organizational structures which perform these specific processes. Business intelligence and competitive intelligence are characteristics of private companies, while national security intelligence is characteristic for the state-owned institutions. This paper aims to present a comparative analysis between business intelligence and national security intelligence based on a critical literature review and adopting a knowledge management perspective. The value of the present paper comes from the semantic tool used in our comparative analysis and the perspective of knowledge management adopted.
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    The impact of knowledge vulnerabilities on knowledge risks
    (Bucharest University of Economic Studies, Faculty of Management, 2024-03) Brătianu, Constantin; Bejinaru, Ruxandra; Ursache, Vlad-Mihai
    The purpose of this paper is to explore the impact of knowledge vulnerabilities on knowledge risks and to analyse their intricate connections within the knowledge management systems. It is a new topic in knowledge management which is requested by the accelerated process of digitalization and the exponential development of the AI programs. There is a lack of research in this area and efforts should be made to bridge the knowledge gap. The method we use is based on a critical analysis of knowledge vulnerabilities and knowledge risks within a generic organization and of designing tree-diagrams able to illustrate the connections between them, and the possible adverse consequences for the firm’s performance. The method of tree diagrams has been extensively used in risk analysis of the complex technological systems of airplanes and nuclear reactors. Also, it is used in the risk management applied to other domains like climate change and earthquakes. It is the first paper to investigate these phenomena and to conceptualize such kind of diagrams.