Artificial intelligence features and their service outcomes: a meta-analysis

Purpose The purpose of the present article is to highlight the role of Artificial Intelligence (AI) and Robotics in the tourism industry. The various technologies being integrated to improve the service and customer experience in tourism. The expected changes and challenges in tourism in the future are focused in this paper. Design/methodology/approach A systematic study on the emerging technologies of AI and Robotics applied in the tourism sector is presented in the form of a viewpoint. Findings AI certainly enhances tourism experiential services however cannot surpass the human touch which is an essential determinant of experiential tourism. AI acts as an effective complementary dimension to the future of tourism. With the emergence of artificial travel intelligence, it is simpler to make travel arrangements. AI offers travel services that are automated, customized and insightful. AI allows travelers to learn about their behaviors, interests to inclinations and provide a personalized experience. Gone are the days to consult a travel agent, meet him physically and indulge in an endless chain of troubling phone calls to inquire about travel arrangements. Practical implications Tourism marketing to see a positive and improved change that will enhance the tourists’ overall experience due to the application of AI and Robotics. New emerging technologies like chatbots, virtual reality, language translators, etc. can be effectively applied in Travel, Tourism & Hospitality industry. Originality/value The present viewpoint discusses the application and role of AI and Robotics with the help of relevant industry examples and theory. The present paper highlights the different technologies being used and will be used in the future.

Artificial Intelligence (AI) functionalities have helped improve the working lives of the human population in sectors like the health sector, education sector, industries and tourism. Emerging economies, in particular, have been exploring the potential of AI to transform their tourism and hospitality sectors. This research paper aimed to examine the use of pre-trained AI models in the tourism and hospitality industries in emerging economies. The study presented a literature review of the current state of AI in the tourism and hospitality industries, including its opportunities and challenges. It then proposed the use of a pre-trained AI model, specifically the Bidirectional Encoder Representations from Transformers (BERT) model, to help address some of the challenges facing the tourism and hospitality sectors in emerging economies. BERT is a language model that can be fine-tuned for a range of natural language processing (NLP) tasks such as sentiment analysis, entity recognition and text classification. The paper discussed the potential applications of BERT in the tourism and hospitality sectors, such as analysing customer feedback, enhancing chatbot interactions and improving search engine optimization (SEO) for tourism websites. The Recall-Oriented Understudy for Gisting Evaluation (ROUGE) was used to evaluate the accuracy of the chatbot model that was used in this study. In conclusion, this research paper suggested that pre-trained AI models, such as BERT, can offer valuable insights and solutions in improving customer satisfaction in the tourism and hospitality industries in emerging economies.

Information and communication technologies (ICTs) have had a significant impact on the hospitality and tourism industry over the last decade, and they continue to be the main drivers of tourism. Tourism businesses make significant use of information technology for marketing purposes. This is true in the area of assisting in marketing decisions as well as in the area of communication and sales. Technology has helped to reduce costs, increase operational efficiency, and improve services and customer experience. Thanks to the availability of information technologies enabled by the Internet, such as websites and social networks in the tourism industry, it has become easier to implement marketing strategies for tourism products in a way that improves the quality of online service to effectively meet the needs of customers. Every aspect of tourism product features and tourism marketing features are significantly influenced by ICT. With the use of robots, artificial intelligence, and other automation systems being used in the manufacturing industry as well as in the tourism and hospitality industry, the use of these new technologies as both a product and a marketing tool has become prevalent in the marketing applications of tourism businesses. ICT, digitalization, and smart technologies seem to offer four important new opportunities to firms in today’s business world. These include developing new business, developing new methods to facilitate management, improving productivity, and gaining a competitive advantage. The study aims to highlight the benefits, contribution, and application areas of technology in the tourism, travel, and hospitality industry.KeywordsInformation and communication technologies (ICTs)Smart technologyTourism marketingDigital marketingTourism industryTourism 4.0

Focusing on the generative artificial intelligence (AI) tools using large language models, the present research explores the individual factors impacting the low-income Koreans’ attitudes toward generative AI tools utilized to search for information (e.g., ChatGPT, Google Gemini, etc.). Specifically, we first examine whether low-income Korean individuals’ prior AI experience, perceived usefulness of AI, and general attitude toward AI influence their attitudes toward generative AI tools (RQ1). Second, we examine whether the prior AI experience affects the attitude toward generative AI tools via the perceived usefulness of AI (RQ2). Third, we examine whether the prior AI experience influences the attitude toward generative AI tools via the general attitude toward AI (RQ3). Fourth, we examine whether the relationship between prior AI experience and attitude toward generative AI tools is serially mediated by the perceived usefulness of AI and general attitude toward AI (RQ4). To answer the research questions, we conducted a hierarchical multiple regression analysis and a mediation analysis using the low-income Koreans who were aware of the generative AI tools (n = 770). The results indicate that (1) both the perceived usefulness of AI and general attitude toward AI are positively associated with the attitude toward generative AI tools; (2) the perceived usefulness of AI mediates the relationship between the prior AI experience and the attitude toward generative AI tools; (3) the indirect effect of prior AI experience on the attitude toward generative AI tools, via the general attitude toward AI, is not statistically significant; and (4) the prior AI experience influences the attitude toward generative AI tools through a sequential process of the perceived usefulness of AI and general attitude toward AI. The findings provide important implications to enhance the attitude toward generative AI tools.

• The German population has favorable attitudes toward artificial intelligence (AI). • AI applications in healthcare are rated more positive than AI in the workplace. • Cognitive evaluations of AI are more positive than emotional appraisals. • Prior experiences with AI in Germany are limited. • Demographic differences are generally small. Artificial intelligence (AI) increasingly affects individuals’ private and professional lives. Importantly, both the acceptance and adoption of new AI technologies in society is heavily impacted by the attitudes that people hold; yet, there is currently limited information on how people perceive and intend to use AI at the national and demographic levels. Therefore, this study examined a random sample of 1,098 German adults to assess their attitudes, experiences, and usage intentions regarding AI in work, healthcare, and education. The findings indicated that respondents generally held favorable attitudes towards AI, with AI applications in healthcare receiving more positive evaluations than AI in the context of work. Moreover, cognitive evaluations of AI were more positive than emotional or behavioral appraisals. Prior experiences with AI were, however, limited, particularly in healthcare and education. Demographic differences were generally small. Taken together, these findings demonstrate that, in Germany, AI is currently widely accepted in different domains, although most people have little first-hand experience with it. These insights can inform policymakers and stakeholders who care about the proliferation of AI in society.

The Smart Home designed to extend older adults independence is emerging as a clinical solution to the growing ageing population. Nurses will and should play a key role in the development and application of Smart Home technology. Accordingly, conceptual frameworks are needed for nurse scientists who are collaborating with multidisciplinary research teams in developing an intelligent Smart Home that assists with managing older adults' health. We present a conceptual framework that is grounded in critical realism and pragmatism, informing a unique mixed methodological approach to generating, analyzing, and contextualizing sensor data for clinician-based machine learning. This framework can guide nurse scientists in knowledge construction as they participate in multidisciplinary health-assistive Smart Home and artificial intelligence research. In this paper, we review philosophical underpinnings and explicate how this framework can guide nurse scientists collaborating with engineers to develop intelligent health-assistive Smart Homes. It is critical that clinical nursing knowledge is integrated into Smart Home and artificial intelligence features. A conceptual framework and practical method will provide needed structure for knowledge construction by nurse scientists.

This article emphasizes the importance of artificial intelligence in the tourism sector. Various technologies are being integrated to enhance customer services. The world is making significant efforts to strengthen industrial competitiveness using big data and artificial intelligence technologies, and tourism is facing increasing demands for new strategic solutions through the digital transformation of the existing tourism industry using cutting-edge technologies. Artificial intelligence quickly addresses customer requirements by providing timely information on critical factors such as hotels, airplanes, cathedrals, general facilities, and natural resources. This information can include interactive messages, virtual tours, interactive booking processes, language translations, and global positioning system technology. Artificial intelligence algorithms in the tourism industry help predict demand, revenue, and business trends. The tourism industry incorporates new technologies like virtual reality, chatbots, and language translation. Adopting artificial intelligence apps requires significant investments, including initial capital costs, maintenance, software updates, and staff training. Understanding the tourism and artificial intelligence industry will help build an artificial intelligence that will significantly transform the tourism industry in the future. The rise of artificial intelligence simplifies the process of making travel plans. Tourists used to decide their destinations and activities using pictures in a catalog or on the Internet. They have recently begun using artificial intelligence to find and tailor their specific requirements. Artificial intelligence is a valuable supplementary aspect to the future of the tourism industry. However, it cannot surpass the human touch, an essential determinant of experiential tourism.

The advent of Artificial Intelligence (AI) has sparked a transformative revolution across numerous industries, and the tourism and hospitality sector is no exception. This paper delves into the profound impact of AI on customer experience within tourism and hospitality, aiming to elucidate the extent to which AI technologies have reshaped various facets of customer interactions, service delivery and overall satisfaction within this domain. This study seeks to uncover insights into how AI has revolutionised the customer journey in tourism and hospitality through an exhaustive review of existing literature encompassing peer-reviewed articles, conference papers, white papers and reports published between 2017 and 2024. In the authors’ quest of synthesising key findings, identifying emerging trends and highlighting challenges and opportunities, this review not only provides valuable insights for industry practitioners seeking to adapt to the AI-driven landscape but also serves as a roadmap for researchers and policymakers keen on understanding the implications of AI adoption within the tourism and hospitality industry. From personalised recommendations and AI-driven chatbots to predictive analytics and robotics, the study explores how AI technologies have redefined customer experiences, offering unparalleled innovation and efficiency optimisation opportunities. Through a critical examination of the existing literature, this review sets the stage for future research endeavours, identifying gaps in knowledge and proposing a comprehensive research agenda to further elucidate the transformative potential of AI in shaping the future of tourism and hospitality.

The benefit of virtual rehabilitation is that it helps the patient increase their engagement and motivation. Another advantage is that it allows patient specific. A third utility is that the therapist can make the sessions more efficient and productive. A feature of virtual reality (VR) rehabilitation is that it is possible to create virtual environments which are more realistic than those in a video game and in which the patients can perform exercises. As a result, the patients are more immersed and motivated to avoid the boredom from which patients in standard therapy usually suffer. The features of artificial intelligence (AI) in biomedicine are the optimisation of diagnostics, treatment, and patient monitoring. AI allows for the analysis to have the potential to detect subtle deviations. In this chapter, the application of virtual reality and artificial intelligence in healthcare was discussed.

In the context of rapid growth in the tourism industry and increasing attention to sustainability issues, the Global Sustainable Tourism Council (GSTC) standards have become an essential benchmark for the hospitality sector worldwide. As Ukraine moves toward integration into the global tourism market, adopting the Global Sustainable Tourism Council standards is crucial for maintaining environmental, social, and economic sustainability within the industry. The subject of the study is the Global Sustainable Tourism Council standards and indicators of sustainable tourism and hospitality development. The purpose of the article is to analyze international standards and indicators of sustainable tourism and hospitality development, particularly the criteria of the Global Sustainable Tourism Council, and to determine their significance for the Ukrainian tourism and hospitality industry development. The objectives of the study are: to analyze the structure and content of international standards and indicators for sustainable tourism and hospitality development, with a focus on the Global Sustainable Tourism Council criteria; to determine the significance and practical implications of applying GSTC standards for enhancing the competitiveness and sustainability of the Ukrainian tourism and hospitality industry. Research methods: generalization and systematization (to identify groups of criteria and indicators of sustainable development in the tourism and hospitality industry); systemic and comprehensive analysis (to determine the importance of applying global sustainable tourism council standards for the Ukrainian tourism and hospitality industry development); graphical method (for visual representation of theoretical material). Results. A comprehensive review of the standards and recommended indicators of the Global Sustainable Tourism Council (GSTC) for tourism and hospitality has been carried out, with a focus on their structure and key thematic areas. A detailed analysis of the four main blocks of GSTC criteria – effective sustainable management, socio-economic benefits, cultural heritage preservation, and environmental protection – has been conducted. The review demonstrates how these standards align with the United Nations Sustainable Development Goals (SDGs) and serve as a universal basis for assessing the sustainability of tourism enterprises and destinations. The necessity of applying GSTC criteria for the Ukrainian tourism and hospitality industry has been substantiated, emphasizing their role in enhancing competitiveness and sustainability. The strategic importance of these standards for post-crisis recovery, shaping a positive image of Ukraine as a sustainable tourism destination, and ensuring long-term resilience through responsible practices has been highlighted.

Artificial Intelligence (AI) is not a new concept for Hospitality Industry and Recruitment functions. AI has displaced the human intervention in routine tasks. In few years, AI will take over several jobs (Kubler, 2018). Recently AI technologies support application screening, data analysis, and preliminary interviews, saving time of recruiters. Chatbots are now designated recruitment officers supporting candidates. Researchers have studied the influence of AI on Recruitment, but only a few focused on the AI displacing human in the recruitment function performed in UAE’s hospitality industry. This research aims to understand the transformation in the recruitment function of UAE’s hospitality industry due to AI intervention. Using concurrent mixed-methods, data was collected by interviewing 10 UAE HR leaders and surveying 135 HR professionals. The inductive-deductive thematic analysis was conducted for subjective measures and descriptive analysis was performed for scaled measures. This study found that UAE’s hospitality sector deployed AI technologies in recruitment areas such as job advertisements, collecting applications, maintaining profiles, and storing the applications. The routine, repetitive, and heavy-volume tasks in the recruitment are delegated to AI while strategic roles are retained for human professionals including development of strategies, and creation of job descriptions and specifications. While the literature review suggested a wider application of AI in recruitment function, UAE’s hospitality sector seems to be lagging. The recommendations will benefit industry leaders, HR professionals, recruitment consultants, and AI developers to rethink on the recruitment strategies, operations, and administration and to embrace the intervention of AI in recruiting the best talent proficiently.

Purpose Religious Freedom Restoration Act (RFRA) is a controversial bill passed by the State of Indiana and signed into law in March 2015. The purpose of this paper is to look into whether there is empirical evidence that the political shock of RFRA had a negative empirical impact upon the hotel industry in Indiana’s major city, Indianapolis, and investigate how DMOs and other organizations in the tourism and hospitality industry worked in ways to counteract the threat of a great deal of loss of business caused by the national furor caused by the passing of the original bill in March 2015. Design/methodology/approach To fully examine the impact of RFRA on hospitality business in Indiana, secondary data were used in this study. The researchers used the Trend Market report created by Smith Travel Research (STR) (2016b) with a focus on the greater Indianapolis area, which include Indianapolis South East, Indianapolis Central Business District, Indianapolis Airport/Speedway, Indianapolis North Loop, and Indianapolis small towns. In the Trend Market report, hotel operation performance results are listed including occupancy percentage, average daily rate, revenue per available room, supply, demand, and revenue. Findings The findings from this investigation illustrate that there is no empirical reason to believe that the political shock of the RFRA controversy in Indiana in 2015 had a meaningful impact upon the hospitality and tourism industry in Indianapolis, despite concerns that it would make a big and negative impact upon the industry. While event planners may have a negative perception of the city of Indianapolis and the state, these perceptions do not seem to be enough to make a difference in terms of impacting upon the hospitality industry in Indianapolis. Originality/value There are lessons that could be learned from this, as many states in the USA continue to pass similar laws to RFRA, laws that are perceived as being problematic for those in the lesbian, gay, bisexual, and transgender (LGBT) community. The most noteworthy lesson is that the passing of laws that seem to threaten people of the LGBT community will bring a national response and will likely be accompanied with threats that are economic in nature. There is a great deal of evidence to show that passing any legislation that may be interpreted as infringing upon the rights of members of the LGBT community will result in substantial responses that may be negative in nature.

This article examines the essence and characteristics of artificial intelligence (AI) and its applications in various agriculture segments. Special attention is paid to the challenges of implementing AI in crop production, animal husbandry, resource management, and analytical processes. The role of robotics is examined as a key factor in the digital transformation of the agricultural sector, facilitating the adoption of new production approaches. The article highlights the main advantages of AI in the agricultural sector, such as the automation of routine tasks, reduction of manual labor costs, increased production efficiency, and the creation of new products. The use of intelligent technologies optimizes resources and boosts productivity, contributing to the competitiveness of agricultural enterprises. The article also reviews global experiences in the implementation of AI and robotics in agriculture. Examples of successful use of these technologies by leading companies are provided, along with an analysis of the experience of Ukrainian agricultural enterprises. Positive aspects of AI implementation, such as increased efficiency and crop yields, are studied, while drawbacks and risks associated with adapting new technologies to the specific conditions of Ukrainian agriculture are also highlighted. The conclusions of the article emphasize that the use of AI is a promising direction for the development of the agricultural sector. AI technologies help address key challenges related to food security and sustainable development. Despite the challenges and risks, AI's potential to enhance agricultural production efficiency is significant, and the future of agriculture largely depends on the further development and implementation of these technologies. The widespread introduction of intelligent technologies can not only transform agricultural processes, but also make them more environmentally sustainable and economically profitable in the long term. Key words: artificial intelligence, agricultural sector, innovative technologies, agriculture, crop production, animal husbandry, robotics, machine intelligence.

The rapid adoption of Artificial Intelligence (AI) in the hospitality and tourism industry is transforming customer experiences through advanced personalization and automation. This research explores the integration of AI-driven technologies such as machine learning, natural language processing, and predictive analytics to enhance guest interactions, streamline service delivery, and optimize operational efficiency. By leveraging AI-powered automation, businesses can personalize recommendations, automate customer support, and refine demand forecasting to improve overall service quality. The study identifies key challenges, including data privacy concerns, the complexity of AI integration, and the need for continuous system refinement. Case studies from leading hospitality firms highlight how AI-driven strategies reduce operational costs, enhance customer satisfaction, and drive revenue growth. Additionally, the research addresses potential risks, such as algorithmic bias and dependency on data quality, while providing best practices for effective AI adoption. These include ethical AI governance, strategic investment in data-driven analytics, and workforce upskilling to facilitate seamless technology adoption. Future research directions focus on integrating AI with blockchain for enhanced data security and leveraging AI-based sentiment analysis for real-time customer engagement insights.

Integrating blockchain technology with artificial intelligence (AI) i.e., blockchain Intelligence makes an extremely powerful tool that solves many multidimensional problems in several domains. Blockchain technology has the potential to provide links to shared data, transactions, and records in a decentralized, safe, and reliable manner, including the information and decision-making capability of AI which makes machines similar as capable as humans. This study is intended to present an updated systematic review of the integration of Blockchain and AI in various application areas. We have studied and summarized more than 100 research papers to present an updated version of the review. We also discuss the future of Blockchain technologies with AI. By integrating these two technologies results increases the security, efficiency, and productivity of the applications. Past works feature a few possible advantages of integration of Blockchain and AI, yet just give a restricted hypothetical system to depict forthcoming certifiable combination instances of the two advances. We survey and orchestrate surviving exploration on the integration of AI and Blockchain are other ways around to thoroughly build up a future research plan on the fusion of the two innovations. We also proposed an agenda to develop a secure system of cyber threat intelligence information exchange by using features of blockchain and artificial intelligence. This paper mainly focusses on explaining how collaboration of blockchain and AI gives immense boost in latest domains like Cybersecurity, Healthcare, Supply Chain Management, Finance and Banking and Social Media Analytics.