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

Bibliographic Data

ID13023484
AuthorsVahid Roudposhti (Lithuanian Institute of Agrarian Economics), Mehrbakhsh Nilashi (0000-0003-0099-8299, University of Technology Malaysia), A Mardani (0000-0003-1010-3655, Lithuanian Institute of Agrarian Economics), Dalia Streimikiene (0000-0002-3247-9912, University of Technology Malaysia), Sarminah Samad (0000-0001-5965-7726, University of Technology Malaysia, corresponding author), Othman Ibrahim (0000-0002-9910-0962, University of Technology Malaysia)
Year2018
Volume11
Issue4
Pages237-253
Publication date2018-12-01
Open AccessYes
TypeARTICLE
VenueJOURNAL OF INTERNATIONAL STUDIES (JOURNAL)
Journal identifiersISSN: 2071-8330 • E-ISSN: 2306-3483
PublisherCentre of Sociological Research, NGO (PUBLISHER)
DOI10.14254/2071-8330.2018/11-4/17
OpenAlexW2911125150
LanguageEN
Citations received4
References cited3

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 systems. Quantitative data was collected from questionnaires

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

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Open DOIOpen Access