<p>This project analyzes the impact of customer journey automation through Artificial intelligence on customer engagement, mediated by brand experience, social cognition and psichological ownership.</p>

<p>The dataset includes 3 files employed in the publication "Human–robot interactions in the restaurant setting: the role of social cognition, psychological ownership and anthropomorphism".</p>

<p>This project analyzes the impact of customer journey automation through Artificial intelligence on customer engagement, mediated by brand experience, social cognition and psichological ownership.</p>

<p>The dataset includes 3 files employed in the publications "Emojis and Users’ Brand Engagement in Instagram. The Case of Eco-Friendly Restaurants" (Grant AI-SERVICES PID2020-113561RB-I00/AEI/10.13039/501100011033), "Females’ customer engagement with eco-friendly restaurants in Instagram: the role of past visits" (Grant PID2019-111195RB-I00/ AEI / 10.13039/501100011033), and "Engaging consumers through firm-generated content on Instagram" (Grant UV-INV-AE19-1212255).</p>

<p>This dataset enables the analysis of the drivers of female followers' engagement -cognitive, affective and behavioral- with eco-friendly restaurants on Instagram and their influence on brand advocacy and the intention to visit the restaurant. As antecedents, the perceived originality and perceived enjoyment that followers derive from the brand-generated content posted by a restaurant on Instagram are considered. Additionally, attention is given to the moderating effects of followers' attitudes towards the use of emojis in posts and to past visits to the restaurant.</p>

<p>This project analyzes the impact of customer journey automation through Artificial intelligence on customer engagement, mediated by brand experience, social cognition and psichological ownership.</p>

<p>The dataset includes 3 files employed in the publication "Company size, online reviews and customer responses: implications for SMEs in the hospitality field".</p>

<p>This project analyzes the impact of customer journey automation through Artificial intelligence on customer engagement, mediated by brand experience, social cognition and psichological ownership.</p>

<p>The dataset includes 3 files employed in the publication "Smart speakers and customer experience in service contexts", corresponding to Studies 1, 2 and 3.</p>
<p>Study 1: Data were collected from a review platform, Tripadvisor.</p>
<p>Study 2: Data were collected through a questionnaire implemented in Qualtrics. The sample consisted of 322 Spanish participants.</p>
<p>Study 3: Data were collected from a sample consisted of 33 Portuguese participants, recruited through convenience sampling.</p>
Methodology:
<ul>
<li>Study 1: web scrapping + sentiment analysis.</li>
<li>Study 2: experiment + partial least squares modelling.</li>
<li>Study 3: survey + text analysis.</li>
</ul>