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Marko Ranković

Biographic Data

ID4252534
NAMEMarko Ranković
GIVEN NAMESMarko
FAMILY NAMERanković
SIGNATURERANKOVIĆ M
AFFILIATIONSUniverzitet Union Nikola Tesla
ORCID0000-0002-3479-8431
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions

    Open Access•Valentin Kuleto, Milena Ilić et al.•ARTICLE•Sustainability•2021

    The way people travel, organise their time, and acquire information has changed due to information technologies. Artificial intelligence (AI) and machine learning (ML) are mechanisms that evolved from data management and developing processes. Incorporating these mechanisms into business is a trend many different industries, including education, have identified as game-changers. As a result, education platforms and applications are more closely al…

  • How political and social attitude could help to fully adopt the circular economy concepts for national benefit? A comparative study

    Open Access•Milena Ilić, Marko Ranković et al.•ARTICLE•Journal of Economic Development…•2021

    This comparative study shows how concepts like circular economy, innovation and competitiveness are understood, accepted and implemented in Romania and Serbia, countries with similar preoccupations for the European Union's recommendations and destiny. It is shown that the similar results obtained outline the lack of continuity in applying the resilient strategy for general development and the strategic role of investments as a pillar of modernisa…

  • Rust Roland and Huang Ming-Hui

    Open Access•Marko Ranković, Bojan Kocić et al.•ARTICLE•Revija za socijalnu politiku•2021

    The Feeling Economy: How Artificial Intelligence Is Creating the Era of Empathy”, a book written by distinguished business scholars, professors Rust and Huang from the University of Maryland and National Taiwan University, looks at the ramifications of developing AI for the population. To help demystify the levels of intelligence required of AI, the book classifies different types of economy using three concepts: mechanical (physical), thinking, …

  • Indicators of Entrepreneurial Behavior and Attitudes for Entrepreneurs of Slovenia and Croatia, in 2018/2019

    Open Access•Milena Ilić, Belgrade SERBIA ITS-Information Technology School et al.•ARTICLE•Journal of Economic Development…•2020

    Following the theoretical presentation of entrepreneurship, that is, the determinants that determine the success of entrepreneurial ventures extracted from various scientific studies and research, the paper defines through research the indicators of entrepreneurial behavior and attitudes using the Global Entrepreneurship Monitor 2018/2019 Global Report database. Using the methods of comparison, induction and deduction, an analysis of indicators o…

No prominent works on this page.

  • Indicators of Entrepreneurial Behavior and Attitudes for Entrepreneurs of Slovenia and Croatia, in 2018/2019

    Open Access•Milena Ilić, Belgrade SERBIA ITS-Information Technology School et al.•ARTICLE•Journal of Economic Development…•2020

    Following the theoretical presentation of entrepreneurship, that is, the determinants that determine the success of entrepreneurial ventures extracted from various scientific studies and research, the paper defines through research the indicators of entrepreneurial behavior and attitudes using the Global Entrepreneurship Monitor 2018/2019 Global Report database. Using the methods of comparison, induction and deduction, an analysis of indicators o…

  • Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions

    Open Access•Valentin Kuleto, Milena Ilić et al.•ARTICLE•Sustainability•2021

    The way people travel, organise their time, and acquire information has changed due to information technologies. Artificial intelligence (AI) and machine learning (ML) are mechanisms that evolved from data management and developing processes. Incorporating these mechanisms into business is a trend many different industries, including education, have identified as game-changers. As a result, education platforms and applications are more closely al…

  • How political and social attitude could help to fully adopt the circular economy concepts for national benefit? A comparative study

    Open Access•Milena Ilić, Marko Ranković et al.•ARTICLE•Journal of Economic Development…•2021

    This comparative study shows how concepts like circular economy, innovation and competitiveness are understood, accepted and implemented in Romania and Serbia, countries with similar preoccupations for the European Union's recommendations and destiny. It is shown that the similar results obtained outline the lack of continuity in applying the resilient strategy for general development and the strategic role of investments as a pillar of modernisa…

  • Rust Roland and Huang Ming-Hui

    Open Access•Marko Ranković, Bojan Kocić et al.•ARTICLE•Revija za socijalnu politiku•2021

    The Feeling Economy: How Artificial Intelligence Is Creating the Era of Empathy”, a book written by distinguished business scholars, professors Rust and Huang from the University of Maryland and National Taiwan University, looks at the ramifications of developing AI for the population. To help demystify the levels of intelligence required of AI, the book classifies different types of economy using three concepts: mechanical (physical), thinking, …

Economics (2 works) · Political science (2 works) · Population (2 works) · Psychology (2 works) · Sociology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Big Data and Business Intelligence (1 work) · Business (1 work) · Circular economy (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae