 The Impact of Algorithmic Recommendation Quality on User Purchase Intentions from a Trust Perspective——A Case Study of Douyin E-commerceYue Shen ()
A chapter in Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024), 2024, pp 487-495 from Springer Abstract: Abstract Smart algorithms are rapidly integrating into people’s daily lives, leading to a continuous evolution in consumers’ attitudes towards algorithms, shifting from aversion to trust. However, existing research on consumer algorithmic decision-making from a trust perspective remains limited. Against this backdrop, this study selects users who have purchased recommended products on the Douyin platform as the research subjects and employs a questionnaire survey to construct a theoretical model of “information quality - algorithm trust - consumer purchase intentions.” The research outcomes not only enrich the academic research in the field of algorithmic recommendations but also provide valuable insights for e-commerce platforms to enhance user experience and purchase conversion rates. Keywords: Algorithm Attitude; Trust; Information Quality; Purchase Intention (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-638-3_48 Ordering information: This item can be ordered from DOI: 10.2991/978-94-6463-638-3_48 Access Statistics for this chapter More chapters in Advances in Economics, Business and Management Research from Springer |
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