Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

A Mardani

Datos Biográficos

ID22111
NOMBREA Mardani
NOMBRESA
APELLIDOMardani
FIRMAMARDANI A
AFILIACIONESLithuanian Institute of Agrarian Economics
ORCID0000-0003-1010-3655
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS1
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H1
  • Experiences of intensive care unit nurses working with Covid-19 patients

    Open Access•Alireza Nikbakht Nasrabadi, Soheila Abbasi et al.•ARTICLE•Frontiers in Public Health•2022

  • Perinatal and Neonatal Outcomes in Immigrants From Conflict-Zone Countries

    Open Access•Samira Behboudi-Gandevani, Razieh Bidhendi-Yarandi et al.•ARTICLE•Frontiers in Public Health•2022

  • A new model for customer purchase intention in e-commerce recommendation agents

    Open Access•Vahid Roudposhti, Mehrbakhsh Nilashi et al.•ARTICLE•JOURNAL OF INTERNATIONAL STUDIES•2018•Citada por: 1•Referencias: 3

    Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…

  • A new model for customer purchase intention in e-commerce recommendation agents

    Open Access•Vahid Roudposhti, Mehrbakhsh Nilashi et al.•ARTICLE•JOURNAL OF INTERNATIONAL STUDIES•2018•Citada por: 1•Referencias: 3

    Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…

  • A new model for customer purchase intention in e-commerce recommendation agents

    Open Access•Vahid Roudposhti, Mehrbakhsh Nilashi et al.•ARTICLE•JOURNAL OF INTERNATIONAL STUDIES•2018•Citada por: 1•Referencias: 3

    Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…

  • Experiences of intensive care unit nurses working with Covid-19 patients

    Open Access•Alireza Nikbakht Nasrabadi, Soheila Abbasi et al.•ARTICLE•Frontiers in Public Health•2022

  • Perinatal and Neonatal Outcomes in Immigrants From Conflict-Zone Countries

    Open Access•Samira Behboudi-Gandevani, Razieh Bidhendi-Yarandi et al.•ARTICLE•Frontiers in Public Health•2022

Advertising (1 obra) · Business (1 obra) · Computer Science (1 obra) · Digital Marketing and Social Media (1 obra) · E-commerce (1 obra) · Marketing (1 obra) · Recommender Systems and Techniques (1 obra) · Technology Adoption and User Behaviour (1 obra) · World Wide Web (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae