Online shopping: How can algorithm performance expectancy enhance impulse buying?-Reference-Cited by-同舟云学术

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Online shopping: How can algorithm performance expectancy enhance impulse buying?

Published:2024-11 Issue: Volume:81 Page:103988
ISSN:0969-6989
Container-title:Journal of Retailing and Consumer Services
language:en
Short-container-title:Journal of Retailing and Consumer Services

Author:

Gallin Steffie^ORCID,Portes Audrey^ORCID

Publisher

Elsevier BV

Reference154 articles.

1. Understanding online impulse buying behavior in social commerce: a systematic literature review;Abdelsalam;IEEE Access,2020

2. The effect of gender stereotypes on artificial intelligence recommendations;Ahn;J. Bus. Res.,2022

3. How website quality affects online impulse buying: moderating effects of sales promotion and credit card use;Akram;Asia Pac. J. Mark. Logist.,2018

4. Why trust an algorithm? Performance, cognition, and neurophysiology;Alexander;Comput. Hum. Behav.,2018

5. Customer experiences in the age of artificial intelligence;Ameen;Comput. Hum. Behav.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. What drives online impulse buying among Zoomers on TikTok in an emerging market? A new model based on flow theory;Frontiers in Communication;2024-09-11

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