Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Baojiao Wang"'
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 3, Pp 1848-1868 (2024)
As the e-commerce landscape diversifies, suppliers are faced with the critical decision of how to effectively launch their products through e-commerce channels with varying business models. This study aims to explore the strategic considerations for
Externí odkaz:
https://doaj.org/article/fee02482f93b4ac2bd46b805c3ff0754
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
The purpose of this paper is to explore how social influence (SI), which is disaggregated into subjective norms (SN), social image (SIM), and social identity (SID), predicts perceived usefulness (PU), perceived pleasure (PP), and continuance intentio
Externí odkaz:
https://doaj.org/article/68c15e6bf68e45e5a1982e483fa95c5c
Publikováno v:
Applied Sciences, Vol 10, Iss 4, p 1257 (2020)
Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diver
Externí odkaz:
https://doaj.org/article/a7ba0b754ef947fdbd33115c03fa3464
Autor:
Zhiwen Li, Baojiao Wang
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac260360bf5573c599c2bf6225ae1e77
https://doi.org/10.2139/ssrn.4305611
https://doi.org/10.2139/ssrn.4305611
Publikováno v:
Applied Sciences
Volume 10
Issue 4
Applied Sciences, Vol 10, Iss 4, p 1257 (2020)
Volume 10
Issue 4
Applied Sciences, Vol 10, Iss 4, p 1257 (2020)
Conventional recommender systems are designed to achieve high prediction accuracy by recommending items expected to be the most relevant and interesting to users. Therefore, they tend to recommend only the most popular items. Studies agree that diver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::991ad674644bd9aa3d120d127a52b03a