Human Touch or Machine Precision? Crossing Recommendation Agent Type and Transparency to Predict User Trust

Additional Metadata
Keywords	Recommendation Systems, User Trust, Transparency, E-commerce, Human Ai Comparison
Thesis Advisor	Sweeney, J.R., van de Kar, Els
Persistent URL	hdl.handle.net/2105/79000
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	van Lienden, Noah. (2025). Human Touch or Machine Precision? Crossing Recommendation Agent Type and Transparency to Predict User Trust. In Business Information Management.http://hdl.handle.net/2105/79000

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