scholarly journals EMBEDDING ARTIFICIAL INTELLIGENCE IN HOSPITALITY & TOURISM

2021 ◽  
Vol 58 (2) ◽  
pp. 5384-5389
Author(s):  
Dr.Sameer Koranne, Sukhmani Sandhu
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Empirical Study ◽  
Digital Technology ◽  
Hospitality Industry ◽  
Descriptive Analysis ◽  
Competitive Environment ◽  
Huge Amount ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Competitive environment and being global trade; the tourism and hospitality industry adopted digital technology a long back and many functions have been digitalized. The travelling guest leaves digital foot prints across various components of tourism and thus a huge amount of data is generated. The customer satisfaction has been an integral part of this industry and providing appropriate service solutions is vital for excelling. Artificial Intelligence is utilized for exploring and analyzing guest data and compliments decision making. The effective existence of AI across various tourism and hospitality functions is investigated through empirical study and validated through descriptive analysis.  

scholarly journals Travellers’ Satisfaction on the Applications of Artificial Intelligence in Malaysia’s Tourism and Hospitality Industry.

2021 ◽  
Vol 8 (1) ◽  
pp. 38-42
Author(s):  
Tung Soon Theam ◽  
Puvaneswari Veloo ◽  
Nor Haliza Binti Che Hussain ◽  
Yap Kim Luu
Keyword(s):  
Artificial Intelligence ◽  
Quantitative Research ◽  
Hospitality Industry ◽  
Study Data ◽  
Research Approach ◽  
Policy Makers ◽  
Travel Experience ◽  
Visa Application ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

Artificial intelligence (AI) is perceived as being able to transform tourism and hospitality industry’s operations into a greater efficiency and cost-effectiveness while offering travellers unique experiences. This study examines travellers’ satisfaction of AI applications, specifically through e-Hailing, e-Wallet, e-Gate and e-Visa in the tourism and hospitality industry in Malaysia. Quantitative research approach was adopted in the current study. Data was gathered from 200 respondents using self-administrative questionnaires. Local and foreign travellers of age 18 and above who had past travel experience were chosen as samples. The findings indicated that e-Hailing, e-Gate and e-Wallet significantly influence travellers’ satisfaction. However, the outcome shows that e-Visa application has no relationship with travellers’ satisfaction. This study helps to strengthen the tourism ministry’s current initiatives in boosting the tourism and hospitality industry in Malaysia. The outcome of the study might be of interest to the policy makers and regulators to improve on the applications of AI in tourism and hospitality in Malaysia.

Introduction to the Multilevel Approach to Competitiveness in the Global Tourism Industry

2020 ◽  
pp. 1-8
Author(s):  
Sérgio Jesus Teixeira ◽  
Joao J. Ferreira
Keyword(s):  
Hospitality Industry ◽  
Rapid Change ◽  
Tourism Industry ◽  
Competitive Environment ◽  
Multilevel Approach ◽  
Business Environments ◽  
Global Tourism ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

The search for understanding the multilevel approach to competitiveness in the global tourism industry has led to a separation of approaches such as the characteristics of the general and competitive environment. The globalization, the companies' transformation, the emergence of the digital company, and the evolution of the tourism and hospitality industry represent four powerful drivers of change modifying business environments worldwide (Laudon & Laudon, 2007; Salem, 2014). In a world increasingly influenced by globalization, broad markets make it difficult for companies to cope with rapid change and increasing competition using only their skills, capabilities, and resources. As such, it is crucial to establish long-term relationships with other organizations, thus entering networks to help cope with any gaps or difficulties encountered in the markets.

Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries?

2019 ◽  
Vol 11 (1) ◽  
pp. 25-43 ◽  
Author(s):  
Stanislav Ivanov
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Financial Management ◽  
Hospitality Industry ◽  
High Tech ◽  
Chain Management ◽  
Facilities Design ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
The Impact

Abstract Companies from the travel, tourism and hospitality industry have started adopting robots, artificial intelligence and service automation technologies (RAISA) in their operations. Self-check-in kiosks, robotic pool cleaners, delivery robots, robot concierges, chatbots, etc., are used increasingly by tourism companies and transform the ways they create and deliver services. This paper investigates the impact of RAISA technologies on travel, tourism and hospitality companies – their operations, facilities design, marketing, supply chain management, human resource management, and financial management. The paper emphasises that in the future companies will divide into two large segments – high-tech tourism companies offering standardized cheap robot-delivered services, and high-touch companies, which rely on human employees.

scholarly journals Digital technologies and robotization as a factor of sustainable tourism development

2021 ◽  
Vol 291 ◽  
pp. 04003
Author(s):  
L.V. Semenova ◽  
S.M. Konyushenko
Keyword(s):  
Sustainable Development ◽  
Technology Integration ◽  
Digital Technology ◽  
Hospitality Industry ◽  
Digital Technologies ◽  
The Sustainable Development ◽  
Sustainable Tourism Development ◽  
Digital Services ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

The issues of digital technology integration in the tourism and hospitality industry, which have an impact on the sustainable development of both the entire industry and its individual subjects, are considered. The main digital services and tools functioning in the market of tourist services are analyzed.

Artificial Intelligence and Automation

2022 ◽  
pp. 88-97
Author(s):  
Aarti Saini ◽  
Rohan Bhalla
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Hospitality Industry ◽  
Digital Transformation ◽  
Human Touch ◽  
Virtual Assistance ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Quality Of Products

Transformation is being observed in almost every sphere of life. Industries accept technological advancements by accepting artificial intelligence and automation to improve the quality of products and services and to have errorless processes. The industry has a large number of human resources, and it functions on the concept of human touch, also known as the essence of hospitality; however, with the advent of artificial intelligence, fear of losing the human resources and human touch in the industry is paramount. The authors of the chapter detail the significance of the human touch in the tourism and hospitality industry. The chapter also highlights the usage of artificial intelligence in tourism through predictive analysis, travel experiences through virtual assistance, and the digital transformation tourism and hospitality have observed mainly in the coronavirus pandemic. It ends with a discussion on artificial intelligence in tourism and hospitality as support system for human resources or enhanced service quality and customer experience.

“Shaken, Not Stirred”

2019 ◽  
pp. 26-53
Author(s):  
Bernardete Dias Sequeira ◽  
João Filipe Marques ◽  
António Serrano
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Empirical Study ◽  
Case Studies ◽  
Hospitality Industry ◽  
Knowledge Society ◽  
Management Approach ◽  
Hospitality Organizations ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

The tourism and hospitality industry depends heavily on the ways its workers use their knowledge in order to provide the best possible experiences to clients. Hence, it is of paramount importance for all tourism organizations, particularly hospitality ones, to have a knowledge management approach that allows them to retain their best workers and therefore keep their clients satisfied. The main objectives of the research presented in this chapter were to analyze how hospitality organizations have been managing their organizational knowledge—namely, how they stimulate knowledge transfer between individuals and groups within the hotels—as well as to identify the best practices and new solutions given the challenges presented by the knowledge society. This chapter presents some of the results concerning knowledge transfer of a larger empirical study on knowledge management in the hospitality industry based on three case studies in three different hotel groups operating in the Algarve, Portugal.

Gentrification and functional change in Budapest – ‘ruin bars’ and the commodification of housing in a post-socialist context

2020 ◽  
Vol 65 (1) ◽  
pp. 17-26
Author(s):  
Gergely Olt ◽  
Adrienne Csizmady
Keyword(s):  
Ownership Structure ◽  
Hospitality Industry ◽  
Housing Stock ◽  
Field Research ◽  
Functional Change ◽  
Global Changes ◽  
Heritage Buildings ◽  
The Subject ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

AbstractThe growth of the tourism and hospitality industry played an important role in the gentrification of the post-socialist city of Budapest. Although disinvestment was present, reinvestment was moderate for decades after 1989. Privatisation of individual tenancies and the consequent fragmented ownership structure of heritage buildings made refurbishment and reinvestment less profitable. Because of local contextual factors and global changes in consumption habits, the function of the dilapidated 19th century housing stock transformed in the 2000s, and the residential neighbourhood which was the subject of the research turned into the so called ‘party district’. The process was followed in our ongoing field research. The functional change made possible speculative investment in inner city housing and played a major role in the commodification of the disinvested housing stock.

Beach Town

2017 ◽  
Author(s):  
Christopher Hilliard
Keyword(s):  
Hospitality Industry ◽  
First World War ◽  
Social Position ◽  
Maritime Trade ◽  
World War ◽  
Ship Building ◽  
Coastal Shipping ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
First World

The chapter surveys post-First World War Littlehampton, a coastal town where tourism and hospitality had overtaken maritime trade, but where coastal shipping and ship-building remained important industries. The libel case unfolded in the Beach Town district, where Littlehampton’s hotels and apartment houses were concentrated. Many of the tradesmen, small businesswomen, labourers, and domestics who serviced the tourism and hospitality industry lived in the neighbourhood. Working from the evidence George Nicholls gathered, census records, and documents in the Littlehampton Museum, the chapter provides an anatomy of the neighbourhood and then examines the families at the centre of the dispute, their economic and social position, and relationships within the household, which were often marked by violence.

scholarly journals The Perception of Job-related Motivators When Choosing a Career in the Tourism and Hospitality Industry – A Comparative Study Between Polish and Spanish Students

2017 ◽  
Vol 53 (2) ◽  
pp. 84-106 ◽  
Author(s):  
Aleksandra Grobelna
Keyword(s):  
Competitive Advantage ◽  
Rapid Growth ◽  
Career Paths ◽  
Hospitality Industry ◽  
Staff Turnover ◽  
Motivating Factors ◽  
Tourism Experience ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality

AbstractThe recent rapid growth of the tourism and hospitality industries raises a question about the quantity and quality of the workforce needed in these sectors. In the tourism/hospitality industry, where most services are delivered directly by employees, competitive advantage is primarily attained through people (employees), who are perceived as an integral component of tourism experience. This creates challenges for an industry suffering from high rates of staff turnover, especially of young employees who leave their jobs after graduation, choosing other career paths.This study presents the job related motivators that students found important when considering their future careers, and investigates the extent to which those motivators can be found in the tourism and hospitality industry. Is the industry able to offer the motivators that will keep the employees willing to choose this particular path? We focus on two groups of potential employees – Polish and Spanish students. The study reveals that both groups generally do not believe that a career in the TH industry offered these motivating factors. We also contrast and compare both groups’ perceptions in this area.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

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