Tourists’ Willingness to Adopt AI in Hospitality—Assumption of Sustainability in Developing Countries

Author:

Gajić Tamara12ORCID,Ranjbaran Alireza3,Vukolić Dragan24ORCID,Bugarčić Jovan2ORCID,Spasojević Ana5ORCID,Đorđević Boljanović Jelena6,Vujačić Duško7,Mandarić Marija2ORCID,Kostić Marija2ORCID,Sekulić Dejan2ORCID,Bugarčić Marina8,Drašković Bojana D.8,Rakić Sandra R.9

Affiliation:

1. Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts, 11000 Belgrade, Serbia

2. Faculty of Hotel Management and Tourism, University of Kragujevac, 36210 Vrnjačka Banja, Serbia

3. Faculty of Management, University of Tehran, Tehran 1411713114, Iran

4. Faculty of Tourism and Hotel Management, University of Business Studies, 78000 Banja Luka, Bosnia and Herzegovina

5. Faculty of Economics, University of Kragujevac, 34000 Kragujevac, Serbia

6. Faculty of Organizational Studies EDUKA, University Business Academy, 11000 Belgrade, Serbia

7. Faculty of Tourism and Hospitality, University of Montenegro, 85330 Kotor, Montenegro

8. Faculty of Civil Engineering, University Union—Nikola Tesla, 11000 Belgrade, Serbia

9. Faculty of Entrepreneurial Business and Real Estate Management, University Union—Nikola Tesla, 11000 Belgrade, Serbia

Abstract

This study explores the impact of artificial intelligence (AI) on customer perceptions and behavior in restaurants, airline companies, and hotel sectors within the hospitality industry of Iran. The primary objective is to analyze how AI affects customer trust, brand engagement, electronic word-of-mouth (eWOM), and tourists’ readiness to use AI technologies. Using a comparative analysis approach and surveys, this research tests hypotheses about the effects of artificial intelligence on various dimensions of customer interaction. The findings highlight significant relationships between the quality of artificial intelligence and customer engagement metrics, such as trust and brand loyalty, which are crucial for understanding and predicting customer behavior in response to technological advancements. This study lays the groundwork for theoretical assumptions about sustainability in these sectors in developing countries, providing a basis for future empirical research that could validate these assumptions and explore broader implications of AI integration in enhancing sustainable practices within the hospitality industry.

Publisher

MDPI AG

Reference123 articles.

1. Beware Hospitality Industry: The Robots Are Coming;Bowen;Worldw. Hosp. Tour. Themes,2018

2. Digital Transformation in the Restaurant Industry: Current Developments and Implications;Alt;J. Smart Tour.,2021

3. Artificially Intelligent Device Use in Service Delivery: A Systematic Review, Synthesis, and Research Agenda;Chi;J. Hosp. Mark. Manag.,2020

4. SoCoMo Marketing for Travel and Tourism: Empowering Co-Creation of Value;Buhalis;J. Destin. Mark. Manag.,2015

5. Smart Tourism: Foundations and Developments;Gretzel;Electron. Mark.,2015

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3