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José María Martín Martín

Biographic Data

ID7545091
NAMEJosé María Martín Martín
GIVEN NAMESJosé María Martín
FAMILY NAMEMartín
SIGNATUREMARTÍN J M M
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Complexity in online collective assessments

    Open Access•Jean-Loup Richet, Rosa Currás-Móstoles et al.•ARTICLE•Technological Forecasting and…•2024

  • An analysis of the competitiveness of the tourism industry in a context of economic recovery following the Covid19 pandemic

    Open Access•José Antonio Salinas Fernández, José Manuel Guaita Martínez et al.•ARTICLE•Technological Forecasting and…•2022

  • Constructing Knowledge Economy Composite Indicators using an MCA-DEA approach

    Open Access•José Manuel Guaita Martínez, J M Martins et al.•ARTICLE•Economic Research-Ekonomska…•2021

    Composite indicators are a remarkably useful tool in policy analysis and public communication for assessing phenomena, such as Knowledge-Based Economy (KBE), that cannot be expressed by means of a simple indicator. The objective of this study is to propose and compare three MCA-DEA models from a “Benefit of Doubt” (BoD) approach in order to build KBE Composite Indicators. To show the effectiveness of the models, this paper proposes a case study o…

No prominent works on this page.

  • Constructing Knowledge Economy Composite Indicators using an MCA-DEA approach

    Open Access•José Manuel Guaita Martínez, J M Martins et al.•ARTICLE•Economic Research-Ekonomska…•2021

    Composite indicators are a remarkably useful tool in policy analysis and public communication for assessing phenomena, such as Knowledge-Based Economy (KBE), that cannot be expressed by means of a simple indicator. The objective of this study is to propose and compare three MCA-DEA models from a “Benefit of Doubt” (BoD) approach in order to build KBE Composite Indicators. To show the effectiveness of the models, this paper proposes a case study o…

  • An analysis of the competitiveness of the tourism industry in a context of economic recovery following the Covid19 pandemic

    Open Access•José Antonio Salinas Fernández, José Manuel Guaita Martínez et al.•ARTICLE•Technological Forecasting and…•2022

  • Complexity in online collective assessments

    Open Access•Jean-Loup Richet, Rosa Currás-Móstoles et al.•ARTICLE•Technological Forecasting and…•2024

Political science (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Climate Change Communication and Perception (1 work) · Computer Science (1 work) · Context (archaeology) (1 work) · Coronavirus disease 2019 (COVID-19) (1 work) · Cultural heritage (1 work) · Diverse Aspects of Tourism Research (1 work) · Economic growth (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