<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Generative AI in sustainable destination branding &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/generative-ai-in-sustainable-destination-branding/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Sun, 25 Oct 2026 18:20:50 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>Generative AI in sustainable destination branding &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Generative AI adoption shapes green destination branding through warmth and anthropomorphism</title>
		<link>https://scienmag.com/generative-ai-adoption-shapes-green-destination-branding-through-warmth-and-anthropomorphism/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sun, 25 Oct 2026 18:20:50 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[AI-driven tourism engagement]]></category>
		<category><![CDATA[anthropomorphism]]></category>
		<category><![CDATA[brand authenticity]]></category>
		<category><![CDATA[brand image]]></category>
		<category><![CDATA[destination anthropomorphism and warmth]]></category>
		<category><![CDATA[destination branding]]></category>
		<category><![CDATA[destination management organisations]]></category>
		<category><![CDATA[Discover Sustainability]]></category>
		<category><![CDATA[emotional warmth in green destination branding]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[Generative AI in sustainable destination branding]]></category>
		<category><![CDATA[green destination brand perception]]></category>
		<category><![CDATA[human-like perception of travel destinations]]></category>
		<category><![CDATA[impact of AI on brand image and authenticity]]></category>
		<category><![CDATA[perceived warmth]]></category>
		<category><![CDATA[PLS-SEM]]></category>
		<category><![CDATA[psychological mechanisms in destination marketing]]></category>
		<category><![CDATA[role of AI in eco-friendly tourism marketing]]></category>
		<category><![CDATA[self-brand congruity]]></category>
		<category><![CDATA[structural equation modeling in tourism studies]]></category>
		<category><![CDATA[sustainable tourism]]></category>
		<category><![CDATA[tourism brand authenticity and AI adoption]]></category>
		<category><![CDATA[tourism experience and self-brand congruity]]></category>
		<category><![CDATA[tourist behaviour]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=340523</guid>

					<description><![CDATA[A survey of 400 international tourists found that generative AI adoption strengthens green destination branding indirectly, through destination anthropomorphism and perceived warmth, while showing no significant effect on brand authenticity.]]></description>
										<content:encoded><![CDATA[<p>Destination management organisations are rapidly turning to generative artificial intelligence to engage tourists, but how this technology shapes a destination&#8217;s sustainable brand has remained largely unexamined. A new study published in Discover Sustainability proposes and tests a sequential mediation model that links generative AI adoption to green destination branding through two layers of psychological mechanisms: brand image, self-brand congruity, positive experience and brand authenticity on one side, and destination anthropomorphism and perceived warmth on the other.</p>
<p>The researchers surveyed 400 international tourists who had engaged with AI-powered destination platforms and analysed the data using partial least squares structural equation modelling in SmartPLS 4.0. The results showed that generative AI adoption significantly strengthened brand image, self-brand congruity and positive experience. Each of these three factors, in turn, activated destination anthropomorphism, the tendency for tourists to perceive a destination as human-like. Anthropomorphism then strongly predicted perceived warmth, which fully mediated the pathway from AI adoption to green destination branding.</p>
<p>Notably, one proposed link did not hold: generative AI adoption did not significantly affect brand authenticity. This suggests that while AI interactions can make a destination feel more personable and emotionally warm, they may not, on their own, convince travellers that the destination&#8217;s green brand is genuine. The full mediation through perceived warmth indicates that the emotional quality of humanised AI encounters, rather than AI adoption itself, is what carries the branding effect.</p>
<p>The study integrates AI adoption, humanisation and sustainable branding into a single framework and offers destination management organisations actionable guidance for deploying AI in ways that build, rather than erode, green brand credibility. As a survey-based model tested on tourists already familiar with AI-powered platforms, the findings describe associations within this population rather than experimentally established causal effects, and the authors note the work is an early-access version subject to further edits before the final version of record.</p>
<p><strong>Subject of Research:</strong> How generative AI adoption by destination management organisations influences green destination branding via anthropomorphism and perceived warmth</p>
<p><strong>Article Title:</strong> Generative artificial intelligence adoption shapes green destination branding through destination anthropomorphism and perceived warmth</p>
<p><strong>Article References:</strong> Hussain, S., Masood, A., Haq, F. U., Khattak, R. Y., &amp; Sheikh, A. A. (2026). Generative artificial intelligence adoption shapes green destination branding through destination anthropomorphism and perceived warmth. <em>Discover Sustainability</em>. <a href="https://doi.org/10.1007/s43621-026-04500-2" rel="noopener noreferrer">https://doi.org/10.1007/s43621-026-04500-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s43621-026-04500-2" rel="noopener noreferrer">10.1007/s43621-026-04500-2</a></p>
<p><strong>Keywords:</strong> generative AI, destination branding, sustainable tourism, anthropomorphism, perceived warmth, brand image, self-brand congruity, brand authenticity, PLS-SEM, destination management organisations, tourist behaviour, Discover Sustainability</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">340523</post-id>	</item>
	</channel>
</rss>
