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Vahid Roudposhti

Biographic Data

ID6883812
NAMEVahid Roudposhti
GIVEN NAMESVahid
FAMILY NAMERoudposhti
SIGNATUREROUDPOSHTI V
AFFILIATIONSLithuanian Institute of Agrarian Economics
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2018
H-INDEX1
  • 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•Cited by: 1•References: 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•Cited by: 1•References: 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•Cited by: 1•References: 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…

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

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