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Julia Kulkova

Biographic Data

ID4218385
NAMEJulia Kulkova
GIVEN NAMESJulia
FAMILY NAMEKulkova
SIGNATUREKULKOVA J
AFFILIATIONSAalto University
ORCID0000-0002-2025-2665
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS14
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX2
  • Leveraging Podcasts as Academic Resources

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•International Journal of…•2024•Cited by: 2•References: 37

    This article introduces a novel seven-step methodology designed to incorporate podcasts as qualitative data sources in academic research, addressing a notable gap in current literature. The purpose of this methodology is to harness the unique and timely insights offered by podcasts, thereby enriching academic studies with diverse, real-time perspectives. The design of this approach includes a meticulous selection of podcasts based on relevance an…

  • Artificial intelligence ‐ driven sustainable development

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•Sustainable Development•2023•Cited by: 10•References: 1

    This study presents a comprehensive literature review using a systematic approach to explore the role of artificial intelligence (AI) in promoting sustainable development in line with the United Nations Sustainable Development Goals (SDGs). The systematic review approach was applied to collect and analyze topics, and the literature search was conducted in two stages, encompassing 57 articles that met the research requirements. Our analysis reveal…

  • Medicine of the future

    Open Access•Julia Kulkova, Ignat Kulkov et al.•ARTICLE•Futures•2023•Cited by: 2•References: 67

    Medicine’s ability to quickly respond to challenges raises questions from researchers, practitioners, and society as a whole. Our task in this study was to identify key and atypical current factors influencing the development of medicine and to predict the development of medicine in the short, medium, and long term. To implement our study, we selected 22 medical experts and applied the three-level Delphi method. The current trends caused by COVID…

  • Artificial intelligence ‐ driven sustainable development

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•Sustainable Development•2023•Cited by: 10•References: 1

    This study presents a comprehensive literature review using a systematic approach to explore the role of artificial intelligence (AI) in promoting sustainable development in line with the United Nations Sustainable Development Goals (SDGs). The systematic review approach was applied to collect and analyze topics, and the literature search was conducted in two stages, encompassing 57 articles that met the research requirements. Our analysis reveal…

  • Leveraging Podcasts as Academic Resources

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•International Journal of…•2024•Cited by: 2•References: 37

    This article introduces a novel seven-step methodology designed to incorporate podcasts as qualitative data sources in academic research, addressing a notable gap in current literature. The purpose of this methodology is to harness the unique and timely insights offered by podcasts, thereby enriching academic studies with diverse, real-time perspectives. The design of this approach includes a meticulous selection of podcasts based on relevance an…

  • Medicine of the future

    Open Access•Julia Kulkova, Ignat Kulkov et al.•ARTICLE•Futures•2023•Cited by: 2•References: 67

    Medicine’s ability to quickly respond to challenges raises questions from researchers, practitioners, and society as a whole. Our task in this study was to identify key and atypical current factors influencing the development of medicine and to predict the development of medicine in the short, medium, and long term. To implement our study, we selected 22 medical experts and applied the three-level Delphi method. The current trends caused by COVID…

  • Artificial intelligence ‐ driven sustainable development

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•Sustainable Development•2023•Cited by: 10•References: 1

    This study presents a comprehensive literature review using a systematic approach to explore the role of artificial intelligence (AI) in promoting sustainable development in line with the United Nations Sustainable Development Goals (SDGs). The systematic review approach was applied to collect and analyze topics, and the literature search was conducted in two stages, encompassing 57 articles that met the research requirements. Our analysis reveal…

  • Medicine of the future

    Open Access•Julia Kulkova, Ignat Kulkov et al.•ARTICLE•Futures•2023•Cited by: 2•References: 67

    Medicine’s ability to quickly respond to challenges raises questions from researchers, practitioners, and society as a whole. Our task in this study was to identify key and atypical current factors influencing the development of medicine and to predict the development of medicine in the short, medium, and long term. To implement our study, we selected 22 medical experts and applied the three-level Delphi method. The current trends caused by COVID…

  • Leveraging Podcasts as Academic Resources

    Open Access•Ignat Kulkov, Julia Kulkova et al.•ARTICLE•International Journal of…•2024•Cited by: 2•References: 37

    This article introduces a novel seven-step methodology designed to incorporate podcasts as qualitative data sources in academic research, addressing a notable gap in current literature. The purpose of this methodology is to harness the unique and timely insights offered by podcasts, thereby enriching academic studies with diverse, real-time perspectives. The design of this approach includes a meticulous selection of podcasts based on relevance an…

Artificial Intelligence (2 works) · Computer Science (2 works) · Engineering (2 works) · Management science (2 works) · Relevance (law (2 works) · Ambidexterity (1 work) · Business (1 work) · Business Intelligence (1 work) · Credibility (1 work) · Data collection (1 work)

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