Content uploaded by Pongsakorn Limna
Author content
All content in this area was uploaded by Pongsakorn Limna on May 24, 2022
Content may be subject to copyright.
International Journal of Computing Sciences Research (ISSN print: 2546-0552; ISSN online: 2546-115X)
Advance online publication
doi: 10.25147/ijcsr.2017.001.1.103
https://stepacademic.net
This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the
original work is properly credited.
Review Paper
Artificial Intelligence (AI) in the Hospitality Industry:
A Review Article
Pongsakorn Limna
Rangsit University, Thailand
palmlimna@gmail.com
ORCID ID: orcid.org/0000-0002-7448-5261
(corresponding author)
Date received: April 17, 2022
Date received in revised form: May 20, 2022
Date accepted: May 20, 2022
Recommended citation:
Limna, P. (2022). Artificial Intelligence (AI) in the hospitality industry: A review article.
International Journal of Computing Sciences Research. Advance online publication. doi:
10.25147/ijcsr.2017.001.1.103
Abstract
Purpose – Artificial intelligence (AI) adoption is critical in the age of digital technology. This
review article aims to evaluate the literature on AI in the hospitality industry.
Method – A narrative synthesis was used in this review article. Moreover, the literature was
reviewed systematically to explore AI in the hospitality industry. The literature and
information were obtained from various books and research articles on EBSCO, Google
Scholar, Scopus, Web of Science, and ScienceDirect. The inclusion criteria were studies that
clearly defined AI in all aspects of the hospitality industry, were published and written in
English and were peer-reviewed. Content analysis was employed.
Results – The use of AI is a strategic and critical factor in economic development.
Furthermore, AI technologies are increasingly being used as digital assistants. They help
businesses in the hospitality industry in a variety of ways, including improving customer
service, expanding operational capability, and lowering costs. However, there are some
risks associated with AI advancements, such as job loss in low-tech sectors, loss of control
due to robot autonomy, and safety, security, and privacy concerns.
2
Conclusion – AI technologies have both positive and negative effects on the workforce and
job employment in the hospitality industry.
Recommendations – The recommendation is to consider a quantitative study regarding AI
adoption in the hospitality industry or other sectors. Also, a qualitative approach could give
a clear view of insight results for further study.
Research Implications – This review article contributed to the existing literature on AI
adoption in the hospitality industry. Hence, it could be used to guide future research on AI
adoption in the hospitality industry. It may also aid academics in broadening their research
by incorporating more potential elements.
Practical Implications – This review article could lead to a better understanding of AI
adoption in the hospitality industry. Moreover, it may assist business owners, managers,
and marketers in the hospitality industry or any sector to achieve and enhance high
business performance by implementing appropriate strategies to meet the needs and
expectations of both customers and employees through the use of AI.
Keywords – artificial intelligence (AI), adoption, hospitality industry, review
INTRODUCTION
In the age of digital technology, artificial intelligence (AI) adoption is essential. Since
its inception, it has provided numerous opportunities and challenges to various industries,
including the hospitality industry. Similarly, AI is necessary to consider when transforming
innovation into a global economy. Many AI-powered technologies have been developed
with the potential to improve the economy by raising people's living standards (Allam,
2016; Koo et al., 2021; Limna et al., 2021). The hospitality industry these days faces a highly
competitive environment, which is saturated with new technologies, customers who
expect superior service, serve as a significant source of innovation, and are constantly
confronted with the challenges of rising costs.
The survival of these businesses is frequently determined by their overall financial
performance, ability to adapt to changing environments, and how they transform and
expand their services to meet the needs and expectations of their customers (Van Niekerk,
2016; Wikhamn, 2019). As a result, the hospitality and tourism industry is leveraging cutting-
edge technologies, such as artificial intelligence and robotics (AIR), to enhance customer
service and experience. These technological advancements have been transformed into
smart tools for providing customer service, and they are being used to improve the
customer experience (Goel et al., 2022). Furthermore, the recent development and
application of advanced technology and communication technologies (ICT) have
3
transformed and automated every aspect of the tourist experience resulting in
tremendous changes in the tourism and hospitality industry (Kumar et al., 2021). Moreover,
the rapid advancement of AI in hospitality management also has the potential to increase
corporate performance. For instance, the hospitality industry, especially the hotel
businesses, is a data-intensive industry that collects massive amounts of data in various
forms.
To maintain a competitive advantage and enhance business performance, several
organizations implement AI-powered technologies, such as point of sale (POS), Facebook
Ads, and LINE Ads (Dash et al., 2019; Limna et al., 2021; Tong-On et al., 2021). Hence, AI and
automation science offer numerous opportunities for tourism and hospitality businesses
to improve their day-to-day operations and ensure that a high-quality service is delivered
to their customers (Drexler & Lapré, 2019; Kumar et al., 2021). Despite the widespread
adoption of technology in the service industry in general, and the hospitality industry in
particular, striking the right balance between digital and human interactions remains
difficult. In terms of service quality, the use of AI, robots, and service automation is
becoming increasingly important for gaining a competitive advantage, but providing more
personalized guest experiences remains contentious (Naumov, 2019). Therefore, artificial
intelligence (AI) adoption in the hospitality industry is critical to discuss.
LITERATURE REVIEW
The Hospitality Industry
In many countries, the hospitality industry is critical to economic success (Martínez-
Martínez et al., 2019). Hospitality refers to the practices of welcoming and entertaining
customers. Hospitality services are primarily focused on the provision of food, drinks, and
lodging and can take place in both commercial and non-commercial establishments
(Naumov, 2019). The hospitality industry includes hotel sectors, tourism sectors, food and
beverage sectors, and meeting and event sectors (Sisson & Adams, 2013). Because the
hospitality industry is based on human services, it is heavily reliant on representation and
customer reviews.
Furthermore, innovative technology can put the customer's point of view at the
center of operations. Using AI technologies can improve customer experiences while
reducing the need for human labor. As a result, many hospitality businesses have been
investing more in technology in recent years to increase revenues and growth (Loureiro et
al., 2021). The international hospitality and tourism industry is one of the most important,
largest, and fastest-growing industries in the world. Globally, it generates $7.6 trillion in
revenue and employs 292 million people, accounting for nearly 10% of global GDP and one
out of ten jobs, with more jobs expected to be created in the coming years due to its
projected steady growth (Ruel & Njoku, 2021). Therefore, the hospitality industry is critical
4
as it is one of the most important economic sectors and is currently a highly competitive
market.
Artificial Intelligence
Artificial intelligence (AI) is made up of two words: artificial, which refers to
something created by humans, and intelligence, which refers to the ability to think for
oneself, resulting in AI being defined as a thinking power created by humans (Limna et al.,
2021). AI is the simulation of human intelligence operations by computers, particularly
computer systems (Wang et al., 2020). AI is extremely effective at performing specific
tasks. It also transforms almost every sector of a country's economy by enabling
computers to make sound decisions that result in more efficient operations (Holzinger et
al., 2021; Kumar et al., 2021). Furthermore, AI enables people to work smarter, resulting in
better business outcomes, but it also necessitates the development of new competencies
and capabilities, ranging from technological expertise to social and emotional skills, as well
as creative abilities (Ivanov & Webster, 2019; Ruel & Njoku, 2021).
Simultaneously, AI may cause human talent to be replaced by technology in some
cases, forcing hospitality and tourism businesses to redesign their structures and processes
as a result (Saini & Bhalla, 2022). Also, using digital analytics and AI tools to manage and
monitor the performance of human talent results in improved talent attraction,
development, deployment, and productivity in human resource management (Hecklau et
al., 2017; Nocker & Sena, 2019). Because of the potential implications for service quality and
customer satisfaction, there is a significant interest in hospitality and tourism research in
gaining a better understanding of the impact of AI technologies on employee engagement,
retention, and productivity levels (Ruel & Njoku, 2021). Therefore, AI is necessary for
several ways.
Artificial Intelligence in the Hospitality Industry
Technological innovations, such as AI-powered technologies, are expected to
enable businesses in the digital economy to transition to more digital ways of working,
managing, organizing, and facilitating change in various organizational processes (Attaran,
2020; Rosário & Dias, 2022). Furthermore, the hospitality industry is evolving at a rapid
pace, aided by technological advances in AI, robotics, and big data (Reis et al., 2020). For
instance, AI adds intelligence to the hospitality industry through AI-enhanced hotel and
tourism operations and management systems, transforming the hospitality industry into
an intelligent hotel and tourism industry (Ruel & Njoku, 2021). Besides, the hospitality
industry has implemented computerized processes and AI in the systems, such as property
management systems, revenue management systems, and customer relationship
management, to synthesize key performance indicators (Mariani et al., 2018).
5
AI is also used to enable service innovation in the delivery of personalized services
in the hospitality industry as AI-powered smart services and robotics, such as AI-based
chatbot technologies, are used to support human intelligence and physical capabilities (Chi
et al., 2020; Pillai & Sivathanu, 2020). Moreover, the use of AI technologies to deliver
services in the hospitality industry has a significant impact on employee productivity. AI
service quality significantly contributes to overall service quality in the hospitality industry
via employee service quality, necessitating a better understanding of how AI technologies
can influence service quality, customer satisfaction, and loyalty via employee-related
outcomes, such as employee engagement, productivity, and service quality (Prentice et al.,
2020). Therefore, AI is crucial for the hospitality industry in a variety of ways.
The Influence of Artificial Intelligence on the Hospitality Industry
Modern technological applications, such as AI and robotic technologies, are widely
used in the hospitality industries, including hotel businesses, tourism businesses, food and
beverage businesses, as well as meeting and event businesses (Drexler & Lapré, 2019; Yang
et al., 2020). Moreover, the advancement of AI and robotics, combined with increased
digital connectivity, has an influence on all business sectors, including hospitality.
Companies utilize these advanced and smart technologies to improve operational
processes, reduce costs, as well as enhance customer experiences and propose new ones
(Mingotto et al., 2021). AI and robotics have a variety of effects on the hospitality industry.
For instance, AI in point-of-sale systems can reduce employee theft and steal in food and
beverage businesses, such as cafes and restaurants (Berezina et al., 2019).
Furthermore, AI and automation services have the potential to not only reduce
human errors and blunders but also to provide predictive insights into the future. Thus, AI
and automation services are capable of analyzing massive amounts of data and converting
it into useful business information. Moreover, business expertise grows, allowing them to
provide better customer experiences to their customers. AI will satisfy business customers
by assisting them in identifying and optimizing future sales opportunities (Lu et al., 2020;
Kumar et al., 2021; Thong-On et al., 2021). As a result, AI and robotic technologies provide
several opportunities for the hospitality industry to enhance their daily operations and
their long-term strategies, as well as ensure that their customers receive consistent quality
products and services. (Yang et al., 2020). Therefore, AI has an impact on the hospitality
industry.
The Risks Posed by Artificial Intelligence Advancements
The implementation of intelligent automation carries risks, such as loss of low-tech
jobs, loss of control due to robot autonomy, as well as safety, security, and privacy
concerns (Tussyadiah, 2020). Furthermore, some tourism and hospitality businesses are
concerned about the risks and security of implementing AI and robotic systems due to their
6
accessibility and consistency (Kumar et al., 2021). For instance, as AI-assisted robots have a
certain level of autonomy, insufficient communication between a robot and a human may
result in robot behavior that is not controlled by a human, compromising worker safety.
Moreover, the risk of workers' mental health deterioration is a new threat associated with
the presence of AI-assisted robots in the workplace.
Workers may become stressed as a result of the possibility of losing their jobs or
having the quality of their work monitored by robots, which may result in competition
between human workers and robots (Lu et al., 2020; Jarota, 2021; Kumar et al., 2021). Also,
an increase in leisure time and convenience as a result of automated travel facilitation has
the potential to enhance the demand for travel and tourism even further. This may
contribute to issues such as over-tourism and overall stress on destination ecosystems.
Finally, AI systems, including the internet of intelligent things, can be vulnerable to security
and privacy threats. For example, hackers may easily reverse customer data from machine
learning models (Tussyadiah, 2020). Therefore, there are some risks posed by AI
advancements.
Previous Research Supporting the Study
Bisoi et al. (2020) highlighted the impact of AI in the hospitality industry. AI
approaches have consistently been worth applying in the hospitality industry to benefit
customers because they are uncommonly focused on recognizing work signs of progress
and increasing organizational effectiveness. AI approaches in the hospitality industry are
viewed as modern machines to not only reduce unsatisfactory customers but also to
provide incentive services in the age of advancement. To conclude, the hospitality industry
is embracing modern technology and a high level of AI-based systems, which provides
travel brands with the ideal opportunity to improve marketing, customer service, customer
experience, and retention.
Citak et al. (2021) discussed how the hotel industry can be motivated by potential
customers to apply selected AI solutions. The most significant deployments are for in-
person customer service, chatbots, and messaging tools, machine learning-powered
business intelligence tools, and virtual and augmented reality. As a result, hotel businesses
in the hospitality industry can leverage their on-site services, and processes, and improve
customer experiences with the help of AI. Also, keeping in touch with customers and
meeting their needs is essential for maintaining overall quality.
Davenport et al. (2020) recommended that AI is expected to significantly impact
marketing strategies in the future, including business models, sales processes, customer
service options, and customer behavior. Three broad areas to investigate the full scope of
artificial intelligence's impact are (1) how marketing strategies will change, (2) how
customers' behaviors will change, and (3) issues related to data privacy, bias, and ethics.
7
To conclude, AI has already impacted marketing, and it will have a much more significant
impact in the future. Also, there is still much to learn.
Jain and Aggarwal (2020) reviewed the whole concept of using AI in marketing.
Artificial intelligence marketing (AIM) is a method of maximizing the use of technology to
improve the customer experience. It has become increasingly crucial for businesses to
recognize and understand their customers' needs and expectations in terms of products
and services in recent years. Marketers can use AI to process massive amounts of data,
conduct individualized sales, and meet customer expectations. Furthermore, their
perception of the customer and their needs in a shorter time frame enables them to
improve campaign performance and return on investment.
Khatri (2021) highlighted the role of AI in digital marketing to change consumer
behavior. AI is a new technology that can improve the impact of digital marketing on
consumer behavior. Although it is a new technology, it does have some drawbacks that
can be avoided. India is the third most populous country regarding internet users, allowing
businesses to expand their online marketing efforts. They can target specific audiences
based on valuable customer insights obtained using AI techniques. They can use AI-based
assistance to improve their customer relationships by providing pleasant customer
interactions. To conclude, AI in digital marketing can be highly effective.
METHODOLOGY
Narrative synthesis is the process of conducting a systematic review and synthesis
of findings from multiple studies that heavily rely on words and text to summarize and
explain the synthesis's findings (Popay et al., 2006). In this review article, a narrative
synthesis was employed. Moreover, the literature was reviewed systematically to explore
AI in the hospitality industry. The literature and information were obtained from various
books and research articles on EBSCO, Google Scholar, Scopus, Web of Science, and
ScienceDirect. The inclusion criteria were studies that clearly defined AI in all aspects of the
hospitality industry, were published and written in English and were peer-reviewed. The
data were reviewed between January 15th, 2022, and April 10th, 2022. To search the
database, the researcher identified a set of keywords related to AI in the hospitality
industry. The keywords identified were "artificial intelligence," "AI," "AI adoption," "AI
technology," "smart technologies," "AI service robots," and "hospitality industry."
The qualitative approach includes four primary research steps: research design,
data collection, data analysis, and report writing (Erickson, 2012). Content analysis is a
versatile data analysis technique that can be applied to qualitative systematic reviews.
Additionally, qualitative systematic reviewers seeking to generate knowledge and theory
are encouraged to adapt or modify content analysis methods to accommodate data that
8
is, by definition, highly organized and contextualized (Finfgeld-Connett, 2014). Thus, a
qualitative – content analysis was employed in this review article.
RESULTS
AI technologies have already infiltrated various sectors of the tourism and
hospitality industries, such as hotel sectors and food and beverage sectors. The use of AI is
a strategic and critical factor in economic development. Moreover, AI technologies
increasingly become digital assistants. They aid businesses in the hospitality industry in
several ways, such as improving customer service, expanding operational capability, and
reducing costs. However, there are some risks posed by AI advancements, such as job loss
in the low-tech sectors, loss of control due to robot autonomy, and safety, security, and
privacy concerns. Therefore, AI technologies have both positive and negative effects on
the workforce and job employment in the hospitality industry.
DISCUSSION AND CONCLUSIONS
AI is not a novel idea. AI technologies have an impact on the workforce and job
opportunities in the hospitality industry, both positively and negatively. Bisoi et al. (2020)
indicated that the hospitality industry is adopting advanced technology and a high level of
AI-based systems, providing travel brands with an excellent opportunity to improve
marketing, customer service, customer experience, and retention. According to Jain and
Aggarwal (2020), AI is advantageous because marketers can use it to process massive
amounts of data, conduct customized sales, and meet customer expectations. Moreover,
Khatri (2021) concluded that AI-based assistance can be used to improve customer
relationships by providing pleasant customer interactions. Tussyadiah (2020) indicated
that AI systems, such as the internet of intelligent things, are vulnerable to security and
privacy threats. Finally, Davenport et al. (2020) stated that AI has already had an impact on
marketing. It will have a much greater impact in the future, and there is still a lot to learn.
Hence, business owners, managers, employees, and marketers in the hospitality industry
should pay attention to AI technologies so that organizations can better assess their ability
to successfully implement AI and determine which changes to make. Furthermore, by
understanding how AI can be used, organizations can make better decisions about where
to implement AI solutions in their value chain. Moreover, understanding the potential
consequences of AI adoption can help organizations better prepare to integrate AI into
their operations. To conclude, it is important to focus on these technologies and implement
appropriate strategies to meet the needs and expectations of both customers and
employees through the use of AI technologies. As a result, high business performance will
incur.
9
RECOMMENDATIONS
The recommendation is to consider empirical research, particularly on the long-term
effects of AI and robotic technologies on actual behaviors, potential downsides, as well as
ethical risks for customers and service employees (Lu et al., 2020). Moreover, it is
recommended to consider a quantitative study, such as online surveys, regarding AI
adoption in the hospitality industry or other sectors. A qualitative approach, such as
interviews and focus groups, could also give a clear view of insight results.
IMPLICATIONS
This review article could lead to a better understanding of AI adoption in the
hospitality industry. Therefore, the implication could be applied to business owners,
managers, and marketers in the hospitality industry or any sector to better understand and
implement appropriate strategies to meet the needs and expectations of not only the
customers but also the employees through the use of AI. As a result, high business
performance will occur. Furthermore, this review article contributed to the existing
literature on AI adoption in the hospitality industry. Hence, it could be used to guide future
research on AI adoption in the hospitality industry. It may also aid academics in broadening
their research by incorporating more potential elements.
REFERENCES
Allam, S. (2016). The Impact of Artificial Intelligence on Innovation - An Exploratory
Analysis. International Journal of Creative Research Thoughts, 4(4), 810-814.
Attaran, M. (2020). Digital Technology Enablers and Their Implications for Supply Chain
Management. Supply Chain Forum: An International Journal, 21, 3, 158-172.
Berezina, K., Ciftci, O., & Cobanoglu, C. (2019). Robots, Artificial Intelligence, and Service
Automation in Restaurants. Robots, Artificial Intelligence, and Service Automation in
Travel, Tourism, and Hospitality, Emerald Publishing Limited, Bingley, 185-219.
Bisoi, S., Mou Roy, D., & Samal, A. (2020). Impact of Artificial Intelligence in the Hospitality
Industry. International Journal of Advanced Science and Technology, 29(5), 4265-4276.
Chi, O. H., Denton, G., & Gursoy, D. (2020). Artificially Intelligent Device Use in Service
Delivery: A Systematic Review, Synthesis, and Research Agenda. Journal of Hospitality
Marketing & Management, 29(7), 757-786.
Citak, J., Owoc, M. L., & Weichbroth, P. (2021). A Note on the Applications of Artificial
Intelligence in the Hospitality Industry: Preliminary Results of a Survey. Procedia
Computer Science, 192, 4552-4559.
Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of Artificial
Intelligence in Automation of Supply Chain Management. Journal of Strategic
Innovation and Sustainability, 14(3), 43-53.
10
Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How Artificial Intelligence Will
Change the Future of Marketing. Journal of the Academy of Marketing Science, 48(1),
24-42.
Drexler, N., & Lapré, V. B. (2019). For Better or For Worse: Shaping the Hospitality Industry
Through Robotics and Artificial Intelligence. Research in Hospitality Management,
9(2), 117-120.
Erickson, F. (2012). Qualitative Research Methods for Science Education. Second
International Handbook of Science Education, pp. 1451-1469. Springer, Dordrecht.
Finfgeld-Connett, D. (2014). Use of Content Analysis to Conduct Knowledge-Building and
Theory-Generating Qualitative Systematic Reviews. Qualitative Research, 14(3), 341–
352.
Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers’ Adoption of
Artificial Intelligence and Robotics in Hospitality and Tourism Sector: Literature
Review and Future Research Agenda. Tourism Review, 1-16.
Hecklau, F., Orth, R., Kidschun, F., & Kohl, H. (2017). Human Resources Management: Meta-
Study-Analysis of Future Competencies in Industry 4.0. Proceedings of the
International Conference on Intellectual Capital, Knowledge Management &
Organizational Learning, 163-174.
Holzinger, A., Malle, B., Saranti, A., & Pfeifer, B. (2021). Towards Multi-Modal Causability
with Graph Neural Networks Enabling Information Fusion for Explainable AI.
Information Fusion, 71, 28-37.
Ivanov, S., & Webster, C. (2019). Conceptual Framework of the Use of Robots, Artificial
Intelligence and Service Automation in Travel, Tourism, and Hospitality Companies.
Robots, Artificial Intelligence, and Service Automation in Travel, Tourism, and
Hospitality, Emerald Publishing Limited, Bingley, 7-37.
Jain, P., & Aggarwal, K. (2020). Transforming Marketing with Artificial Intelligence.
International Research Journal of Engineering and Technology, 7(7), 3964-3976.
Jarota, M. (2021). Artificial intelligence and robotisation in the EU-should we change OHS
law?. Journal of Occupational Medicine and Toxicology, 16(1), 1-8.
Khatri, M. (2021). How Digital Marketing along with Artificial Intelligence is Transforming
Consumer Behaviour?. International Journal for Research in Applied Science &
Engineering Technology, 9(7), 523-527.
Koo, C., Xiang, Z., Gretzel, U., & Sigala, M. (2021). Artificial Intelligence (AI) and Robotics in
Travel, Hospitality, and Leisure. Electronic Markets, 31(3), 473-476.
Kumar, S., Kumar, V., & Attri, K. (2021). Impact of Artificial Intelligence and Service Robots
in Tourism and Hospitality Sector: Current Use & Future Trends. Administrative
Development: A Journal of HIPA, Shimla, 8(SI-1), 59-83.
Limna, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The Role of Big Data Analytics in
Influencing Artificial Intelligence (AI) Adoption for Coffee Shops in Krabi, Thailand.
International Journal of Behavioral Analytics, 1(2), 1-17.
Loureiro, S. M. C., Ashfaq, M., & Rodrigues, M. O. B. (2021). AI Meaning and Applications in
the Consumer Sector of Retailing, Hospitality, and Tourism. Handbook of Research on
11
Applied Data Science and Artificial Intelligence in Business and Industry, pp. 291-303. IGI
Global.
Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020).
Service Robots, Customers and Service Employees: What Can We Learn from the
Academic Literature and Where Are the Gaps?. Journal of Service Theory and Practice,
30(3), 361-391.
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2018). Business Intelligence and Big Data
in Hospitality and Tourism: A Systematic Literature Review. International Journal of
Contemporary Hospitality Management, 30, 12, 3514-3554.
Martínez-Martínez, A., Cegarra-Navarro, J. G., Garcia-Perez, A., & Wensley, A. (2019).
Knowledge Agents as Drivers of Environmental Sustainability and Business
Performance in the Hospitality sector. Tourism Management, 70, 381-389.
Mingotto, E., Montaguti, F., & Tamma, M. (2021). Challenges in Re-Designing Operations
and Jobs to Embody AI and Robotics in Services. Findings from a Case in the
Hospitality Industry. Electronic Markets, 31(3), 493-510.
Naumov, N. (2019). The Impact of Robots, Artificial Intelligence, and Service Automation
on Service Quality and Service Experience in Hospitality. Robots, Artificial Intelligence,
and Service Automation in Travel, Tourism, and Hospitality, Emerald Publishing
Limited, Bingley, 123-133.
Nocker, M., & Sena, V. (2019). Big Data and Human Resources Management: The Rise of
Talent Analytics. Social Sciences, 8(10), 273.
Pillai, R., & Sivathanu, B. (2020). Adoption of AI-Based Chatbots for Hospitality and Tourism.
International Journal of Contemporary Hospitality Management, 32, 3199.
Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Britten, N., Roen,
K., & Duffy, S. (2006). Guidance on the Conduct of Narrative Synthesis in Systematic
Reviews. A Product from the ESRC Methods Programme Version, 1(1).
Prentice, C., Dominique Lopes, S., & Wang, X. (2020). The Impact of Artificial Intelligence
and Employee Service Quality on Customer Satisfaction and Loyalty. Journal of
Hospitality Marketing & Management, 29(7), 739-756.
Reis, J., Melão, N., Salvadorinho, J., Soares, B., & Rosete, A. (2020). Service robots in the
hospitality industry: The case of Henn-Na hotel, Japan. Technology in Society, 63.
Rosário, A. T., & Dias, J. C. (2022). Sustainability and the Digital Transition: A Literature
Review. Sustainability, 14, 4072.
Ruel, H., & Njoku, E. (2021). AI Redefining the Hospitality Industry. Journal of Tourism
Futures, 7, 1, 53-66.
Saini, A., & Bhalla, R. (2022). Artificial Intelligence and Automation: Transforming the
Hospitality Industry or Threat to Human Touch. Handbook of Research on Innovative
Management Using AI in Industry 5.0, 88-97.
Sisson, L. G., & Adams, A. R. (2013). Essential hospitality management competencies: The
importance of soft skills. Journal of Hospitality & Tourism Education, 25(3), 131-145.
12
Tong-On, P., Siripipatthanakul, S., & Phayaphrom, B. (2021). The Implementation of
Business Intelligence Using Data Analytics and Its Effects Towards Performance in
Hotel Industry in Thailand. International Journal of Behavioral Analytics, 1(2), 1-16.
Tussyadiah, I. (2020). A Review of Research into Automation in Tourism: Launching the
Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics
in Tourism. Annals of Tourism Research, 81, 102883.
Van Niekerk, M. (2016). Business, Technology, and Marketing Trends Influencing the
Financial Performance of the Hotel Industry. The Journal of Hospitality Financial
Management, 24(2), 153-157.
Wang, C. X., Di Renzo, M., Stanczak, S., Wang, S., & Larsson, E. G. (2020). Artificial
Intelligence Enabled Wireless Networking for 5G and Beyond: Recent Advances and
Future Challenges. IEEE Wireless Communications, 27(1), 16-23.
Wikhamn, W. (2019). Innovation, Sustainable HRM, and Customer Satisfaction.
International Journal of Hospitality Management, 76, 102-110.
Yang, L., Henthorne, T. L., & George, B. (2020). Artificial Intelligence and Robotics
Technology in the Hospitality Industry: Current Applications and Future Trends.
Digital Transformation in Business and Society, 211-228.
