Unveiling the black box: How source transparency shapes GenAI-driven hotel recommendation adoption

Yi Bu

doi:10.1016/j.ijhm.2026.104878

Unveiling the black box: How source transparency shapes GenAI-driven hotel recommendation adoption

2026-08-11

0

PRE

AI

Y

Yi Bu

M

Mai Nguyen

Y

Yunen Zhang *

I

Isaac Cheah

A

Anwar Sadat Shimul

DOI：10.1016/j.ijhm.2026.104878

Original

Original request for help

Save

Abstract

En 中文

• Source transparency boosts GenAI hotel recommendation adoption. • Transparency increases authenticity and reduces perceived manipulation. • Prevention-focused consumers respond more strongly to source transparency. • Negative e-WOM makes transparency effective across regulatory foci. • Field and online experiments show how to design more trustworthy GenAI.

Keywords:

GenAI recommendation

Perceived authenticity

Perceived manipulation

Negative e-WOM

Attributional reasoning

Regulatory focus

Unveiling the black box: How source transparency shapes GenAI-driven hotel recommendation adoption

Abstract

Journal

Organization