Data Science, Business Intelligence, and the Internet of Everything: A Scientometric Education Perspective with a Mountain Focus

Mihai Covaci and Brindusa Covaci
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Mihai Covaci: Hyperion University - CBM International University
Brindusa Covaci: CBM International University, Centre for Mountain Economy

Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, 2024, vol. 16, issue 2, 56-70

Abstract: This paper delves into the intricate interplay of the Internet of Everything within the dynamic landscape of evolving data science and business intelligence, scrutinized through the discerning lens of scientometrics within the broader context of education social responsibility. The author posits that the primary objective of the Internet of Everything is to not merely bridge, but transcend the gap between business, education, and science, thereby fortifying the indispensable role of corporate sustainability in shaping societal paradigms. The meticulously validated results affirm the credibility of the proposed hypothesis and indicators. Notably, information technology, particularly within the expansive realms of the Internet and Internet of Things subdivisions, emerges as the paramount dimension influencing the underdevelopment of mountainous areas. The triad nexus established in this study remarkably diminishes the pervasive disparities between science, education, and business, with a singular focus on advancing people and human sustainability. Proposing seven innovative indicators within the triad, the research not only contributes to the existing body of knowledge but also envisages a transformative impact. Furthermore, the paper advocates for the adoption of common data science governance models across diverse country groups globally, fostering a collaborative approach to technological and societal advancement.

Keywords: Business Intelligence; Science education responsibility; Data Science; Internet of Everything; Mountain Entrepreneurship; Scientometry (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:lum:rev1rl:v:16:y:2024:i:2:p:56-70

DOI: 10.18662/rrem/16.2/846

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