Faculty of Management

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Browsing Faculty of Management by Author "Brătianu, Constantin"

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    Capitalizing online knowledge networks : from individual knowledge acquisition towards organizational achievements
    (Emerald, 2022-08-01) Vătămănescu, Elena Mădălina; Brătianu, Constantin; Dabija, Dan Cristian; Popa, Simona
    Purpose – This paper aims to explore the relationships among several key constructs which link the individual’s motivation for knowledge acquisition to his affiliation with online knowledge networks, to further access the intellectual capital of the network as a prerequisite for organizational achievement. Design/methodology/approach – An online survey with 227 members of higher education and research centers from 30 countries was carried out between July and September 2021. The data were analyzed by means of partial least squares structural equation modeling technique, using the statistics software package Smart PLS 3.0. Findings – Individual motivation to acquire knowledge has a significant influence on the affiliation with online academic networks approached as online knowledge networks. Further, active engagement with the network’s intangible resources leads to a significant harnessing of the three-component intellectual capital, that is, human, structural and relational capital. Human and relational capital is proven to exert a significant effect on organizational achievements, whereas structural capital falls short of reporting a meaningful influence on the dependent variable. Research limitations/implications – This research adds new knowledge to the capitalization of online knowledge networks and its influence on organizational achievements via intellectual capital. Originality/value – A novel perspective is advanced in which online knowledge networks are acknowledged as a pivotal bond and nonlinear integrator between the individual level of knowledge fields and organizational knowledge leveraged into organizational achievements.
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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.
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    Unveiling e-learning and knowledge sharing during the pandemic: From expert skills perception to student satisfaction
    (Elsevier, 2024) Dabija, Dan Cristian; Brătianu, Constantin; Dominici, Gandolfo; Vătămănescu, Elena Mădălina
    The present undertaking seeks to explore the relationships between five main constructs, that is, e-learning, expert skills perception, knowledge perceived value, knowledge sharing and student satisfaction in the context of the COVID-19 pandemic. Even though there is a wide array of studies looking into the impact of the pandemic on the online teaching environment and on student satisfaction, this investigation is paving the way towards scrutinizing the role of expert knowledge in the overall equation. A questionnaire-based survey with 310 master students who participated to expert online lectures in various marketing and business administration classes in the context of the pandemic e-learning environment was carried out between March 2020 and May 2022. The results indicated that Expert Skills Perception explains 58.8% of the variance of Knowledge Perceived Value, while Knowledge Perceived Value and e-Learning Process explain 45.2% of the variance in Knowledge Sharing and Knowledge Sharing and e-Learning Process explain 65.6% of the variance in Student Satisfaction, defining a strong predicting power of the structural model. By addressing students' perceptions of the online education process which relies on expert knowledge sharing is liable to offer a reference point for conducting and enhancing similar endeavors even in the post-pandemic ‘new normal’.