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Open Access
Article
Publication date: 24 April 2020

Nagaraj Samala, Bharath Shashanka Katkam, Raja Shekhar Bellamkonda and Raul Villamarin Rodriguez

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…

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Abstract

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.

Details

Journal of Tourism Futures, vol. 8 no. 1
Type: Research Article
ISSN: 2055-5911

Keywords

Article
Publication date: 22 February 2022

Pooja Goel, Neeraj Kaushik, Brijesh Sivathanu, Rajasshrie Pillai and Jasper Vikas

The purpose of this study, a current systematic literature review, is to synthesize the extant literature on consumers’ adoption of artificial intelligence and robotics

Abstract

Purpose

The purpose of this study, a current systematic literature review, is to synthesize the extant literature on consumers’ adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. This study also outlines insights for academia, practitioners, AI marketers, developers, designers and policymakers.

Design/methodology/approach

This study used a content analysis approach to conduct a systematic literature review for the period of 10 years (2011–2020) of the various published studies themed around consumer’s adoption of AIR in HATS.

Findings

The synthesis draws upon various factors affecting the adoption of AIR, such as individual factors, service factors, technical and performance factors, social and cultural factors and infrastructural factors. Additionally, the authors identified four major barriers, namely, psychological, social, financial, technical and functional that hinder the consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry.

Originality/value

To the best of the author’s/authors’ knowledge, this study is a first attempt to synthesize the factors that drive consumers’ adoption of artificial intelligence and robots in the hospitality and tourism industry. The present work also advances the tourism and consumer behavior literature by offering an integrated antecedent-outcome framework.

Visual abstract

Figure 2 The objective of the current systematic literature review is to synthesize the extant literature on consumer’s adoption of artificial intelligence and robotics (AIR) in the context of the hospitality and tourism sector (HATS) to gain a comprehensive understanding of it. For that purpose, authors conducted content analysis of extant literature on consumer’s adoption of AIR in HATS from 2011 to 2020. Authors presented an integrated antecedent outcome framework of the factors that drive consumer’s adoption of artificial intelligence and robots in the hospitality and tourism industry.

目的

这篇系统性文献综述的目的是综合现有关于消费者在酒店和旅游部门(HATS)中采用人工智能和机器人(AIR)的文献, 以便全面了解它。这项研究还概述了学术界、从业者、人工智能营销人员、开发人员、设计师和决策者的见解。

设计/方法论/方法

本研究使用内容分析方法对 10 年(2011–2020 年)期间的各种已发表研究进行系统的文献回顾, 主题围绕消费者在 HATS 中采用 AIR。

结果

本研究揭示了四大服务:自动化、定制、信息传播、旅游移动性和导航服务。 此外, 作者确定了阻碍消费者在酒店和旅游业采用人工智能和机器人的四大障碍, 即心理、社会、财务、技术和功能

原创性

本研究首次尝试综合推动消费者在酒店和旅游业中采用人工智能和机器人的因素。本文还通过提供一个综合的前因结果框架, 推进了旅游和消费者行为文献。

Resumen

Objetivo

El objetivo de la actual revisión sistemática literaria es sintetizar la literatura existente sobre la adopción de la inteligencia artificial y la robótica (IAR) por parte de los consumidores en el contexto del sector hotelero y turístico (SHT) para ganar un entendimiento comprensivo del mismo. Este estudio también traza visiones para los académicos, profesionales, comercializadores de AI, desarrolladores, diseñadores, y los elaboradores de las políticas a seguir.

Diseño/metodología/enfoque

El presente estudio siguió un enfoque de análisis de contenido para realizar una revisión sistemática de la literatura durante el período de 10 años (2011–2020) de los diversos estudios publicados y basados en la adopción de IAR en SHT, por parte de los consumidores.

Los hallazgos

Este estudio desvela cuatro grandes servicios: automatización, personalización, difusión de información, movilidad turística y servicios de navegación. Adicionalmente, los autores identificaron cuatro barreras principales, a saber; psicológicas, sociales, financieras, técnicas y funcionales, que impiden la adopción de la inteligenica artificial y la robótica por parte del consumidor, en la industria de la hospitalidad y el turismo.

Originalidad

Este estudio es un primer intento de sintetizar los factores que impulsan la adopción de la inteligencia artificial y la robótica por parte de los consumidores en la industria hotelera y turística. El presente trabajo también fomenta la literatura sobre el turismo y el comportamiento del consumidor, ofreciendo un marco integrado de resultados precedentes.

Book part
Publication date: 14 October 2019

Stanislav Ivanov and Craig Webster

Purpose: The purpose of this chapter is to elaborate on the major conceptual and practical considerations of the use of robots, artificial intelligence and service…

Abstract

Purpose: The purpose of this chapter is to elaborate on the major conceptual and practical considerations of the use of robots, artificial intelligence and service automation (RAISA) in travel, tourism, and hospitality companies (TTH).

Design/methodology/approach: The chapter develops a conceptual framework of the major issues related to the use of RAISA in the travel, tourism and hospitality context.

Findings: The findings indicate that while there is a creeping incursion of RAISA into TTH, there are major concerns that the TTH industry has to consider in regard to automating TTH services.

Practical implications: In a practical sense, the chapter identifies the decisions that TTH industry professionals need to take when dealing with RAISA technologies. Furthermore, the chapter elaborates on the impacts RAISA have on business operations, marketing management, human resources and financial management of TTH companies. The TTH industry has to adjust its practices and communicate with its workforce in ways as not to increase Luddite tendencies and resistance among employees.

Social implications: The analysis shows that there is an upcoming era in which automation of services will be so advanced that wealthy countries may not need to import labour to make up with its own aging workforce, suggesting that RAISA and its further development has the potential for disrupting society and international relations.

Originality/value: This chapter provides a comprehensive review of the issues related to the use of RAISA in the TTH industry, including the drivers of RAISA adoption in tourism, advantages and disadvantages of RAISA technologies compared to human employees, decisions that managers need to take, and the impacts of RAISA on business processes. It shows how macroenvironmental pressures shape the microeconomic decisions to use RAISA in a TTH context.

Details

Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality
Type: Book
ISBN: 978-1-78756-688-0

Keywords

Article
Publication date: 10 August 2020

Umar Bashir Mir, Swapnil Sharma, Arpan Kumar Kar and Manmohan Prasad Gupta

This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence

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Abstract

Purpose

This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.

Design/methodology/approach

This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.

Findings

Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.

Research limitations/implications

This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.

Practical implications

Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.

Originality/value

The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.

Details

Digital Policy, Regulation and Governance, vol. 22 no. 4
Type: Research Article
ISSN: 2398-5038

Keywords

Content available
Article
Publication date: 1 November 2006

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Abstract

Details

Industrial Robot: An International Journal, vol. 33 no. 6
Type: Research Article
ISSN: 0143-991X

Article
Publication date: 8 October 2019

Lisa Nicole Cain, John H. Thomas and Miguel Alonso Jr

This paper aims to review the extant hospitality and tourism literature on the state of robotics and artificial intelligence (AI) in the service industry. The aim was to…

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Abstract

Purpose

This paper aims to review the extant hospitality and tourism literature on the state of robotics and artificial intelligence (AI) in the service industry. The aim was to highlight the current areas of research on this emerging topic and identify areas for future application and study.

Design/methodology/approach

A list of hospitality and tourism journals was used to identify articles related to AI and robotics using the terms AI, robots, robotics, hospitality and tourism, and several combinations thereof. Additional sources were identified through the literature reviews from the identified works.

Findings

The findings revealed several studies on the current state of robotics and AI in hospitality and tourism. Additional research examines and discusses implications for internal and external customer service, legal and ethical issues and theory.

Originality/value

This paper provides a compilation of the current studies that examine the impact of robotics and AI in hospitality and tourism. It offers scholars an overview of the current knowledge in the field on this rapidly emerging and evolving topic.

研究目的

本文审阅了有关服务行业中机器学和智能技术(AI)发展的相关文献。其研究目的在于强调有关这个新兴话题的研究领域和指出未来研究方向。

研究设计/方法/途径

本文样本包括有关AI和机器学的期刊文献,关键搜索词包括AI、机器人、机器学、酒店管理、旅游,以及几项关键词组合。本文还通过文献综述审阅了多个数据源。

研究结果

研究结果描述了目前酒店旅游行业机器学和AI有关领域的研究状态。此外本文还研究和提出对于内部和外部客户服务、法律伦理问题、以及理论等领域做出研究启示。

研究原创性/价值

本文对目前有关机器学和AI酒店旅游学术研究进行系统梳理。为学者对其相关领域的现状提供全局视角,并且显示这个新兴话题的迅速发展。

关键词

文献综述、AI、机器学、酒店科技

Details

Journal of Hospitality and Tourism Technology, vol. 10 no. 4
Type: Research Article
ISSN: 1757-9880

Keywords

Article
Publication date: 24 August 2021

Loveleen Gaur, Anam Afaq, Gurmeet Singh and Yogesh Kumar Dwivedi

The hospitality industry experienced an unanticipated challenge from the COVID-19 pandemic. However, research in this area is scarce. Accordingly, this study aims to…

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Abstract

Purpose

The hospitality industry experienced an unanticipated challenge from the COVID-19 pandemic. However, research in this area is scarce. Accordingly, this study aims to unfold a three-angled research agenda to intensify the knowledge advancement in the hospitality sector. It proposes a theoretical framework by extending the protection motivation theory (PMT) to explain the guest’s intent to adopt artificial intelligence (AI) and robotics as a protective measure in reaction to COVID-19.

Design/methodology/approach

The research is centered on outlining the pertinent literature on hospitality management practices and the guest’s transformed behavior during the current crisis. This study intends to identify a research agenda based on investigating hospitality service trends in today’s changing times.

Findings

The study sets out a research agenda that includes three dimensions as follows: AI and robotics, cleanliness and sanitation and health care and wellness. This study’s findings suggest that AI and robotics may bring out definite research directions at the connection of health crisis and hospitality management, taking into account the COVID-19 crisis.

Practical implications

The suggested research areas are anticipated to propel the knowledge base and help the hospitality industry retrieve the COVID-19 crisis through digital transformation. AI and robotics are at the cusp of invaluable advancement that can revive the hotels while re-establish guests’ confidence in safe hotel practices. The proposed research areas are likely to impart pragmatic lessons to the hospitality industry to fight against disruptive situations.

Originality/value

This study stands out to be pioneer research that incorporated AI and robotics to expand the PMT and highlights how behavioral choices during emergencies can bring technological revolution.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 11
Type: Research Article
ISSN: 0959-6119

Keywords

Article
Publication date: 1 October 2005

Brian R. Duffy, Gregory M.P. O'Hare, John F. Bradley, Alan N. Martin and Bianca Schoen

In investing energy in developing reasoning machines of the future, one must abstract away from the specific solutions to specific problems and ask what are the…

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Abstract

Purpose

In investing energy in developing reasoning machines of the future, one must abstract away from the specific solutions to specific problems and ask what are the fundamental research questions that should be addressed. This paper aims to revisit some fundamental perspectives and promote new approaches to reasoning machines and their associated form and function.

Design/methodology/approach

Core aspects are discussed, namely the one‐mind‐many‐bodies metaphor as introduced in the agent Chameleon work. Within this metaphor the agent's embodiment form may take many guises with the artificial mind or agent potentially exhibiting a nomadic existence opportunistically migrating between a myriad of instantiated embodiments. The paper animates these concepts with reference to two case studies.

Findings

The two case studies illustrate how a machine can have fundamentally different capabilities than a human which allows us to exploit, rather than be constrained, by these important differences.

Originality/value

Aids in understanding some of the fundamental research questions of reasoning machines that should be addressed.

Details

Kybernetes, vol. 34 no. 9/10
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 23 August 2021

José Arias-Pérez and Juan Vélez-Jaramillo

Artificial intelligence (AI) will be performing 52% of the tasks in companies by 2025. The increasing adoption of AI is generating technological turbulence in the business…

Abstract

Purpose

Artificial intelligence (AI) will be performing 52% of the tasks in companies by 2025. The increasing adoption of AI is generating technological turbulence in the business environment. Previous studies have also shown that employees are aware of the high risk of losing their jobs when being replaced by AI. The risk of employees engaging in opportunistic behaviors, such as knowledge hiding, is thus fairly high. Therefore, the aim of this paper is to analyze the mediating effect of employee’s AI awareness on the relationship between technological turbulence generated by AI and the three types of knowledge hiding: evasive hiding, playing dumb and rationalized hiding.

Design/methodology/approach

Structural equations by the partial least squares method were used to test the proposed research model.

Findings

The most interesting finding is that employee’s AI and robotics awareness fulfills almost all mediating functions in the relationship between technological turbulence generated by AI and the three types of knowledge hiding.

Originality/value

The results show that knowledge hiding in the digital age is first and foremost a strategy by employees to sabotage and induce failure in process automation, to reduce the risk of being replaced in the workplace by AI. This study indicates that employees are willing to hide knowledge in all possible ways when perception that AI is a threat to their job increases. In other words, technological turbulence generated by AI and employee’s AI awareness are the two great new triggers of knowledge hiding in the digital age.

Article
Publication date: 28 July 2021

Fauzia Jabeen, Sameera Al Zaidi and Maryam Hamad Al Dhaheri

This study aims to develop a framework to identify and prioritize the key factors in automation and artificial intelligence (AI) implementation in the hospitality and

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Abstract

Purpose

This study aims to develop a framework to identify and prioritize the key factors in automation and artificial intelligence (AI) implementation in the hospitality and tourism industry.

Design/Methodology/Approach

This paper used the analytic hierarchy process, a multi-criteria decision-making method, to prioritize the factors influencing automation and AI implementation. This paper developed a model with five criteria (human knowledge, services, robotics applications, internal environment and institutional environment) and 23 sub-criteria obtained from previous studies. This paper designed a questionnaire in the form of pairwise comparisons based on the proposed hierarchical structure. This paper used a nine-point ranking scale to show the relative significance of each variable in the hierarchy and tested the model among staff from 35 five-star hotels and top-rated tourism agencies in the United Arab Emirates.

Findings

Human knowledge, services and robotics applications were the most significant factors influencing automation and AI implementation. Practitioners and researchers in the hospitality and tourism industry could apply the proposed framework to develop sustainable strategies for implementing and managing automation and AI. The proposed framework may also be useful in future studies examining AI implementation in the hospitality and tourism industry.

Originality/Value

This paper developed a framework for policymakers that identifies and could help to overcome some of the challenges in implementing automation and AI in the hospitality and tourism sector around the world. The results provide an agenda for future research in this area.

酒店业和旅游业中的自动化和人工智能

摘要

目的

本研究旨在开发一个框架, 以确定和优先考虑酒店业和旅游业自动化和人工智能(AI)实施的关键因素。

设计/方法/途径

我们使用层次分析法, 一种多准则决策方法, 对影响自动化和人工智能实施的因素进行优先排序。我们建立了一个包含五个标准(人类知识、服务、机器人技术应用、内部环境和制度环境)的模型, 并从先前的研究中获得了23个子标准。基于所提出的层次结构, 我们设计了一份以成对比较的形式进行的问卷调查。我们使用九点评分量表来说明每个标准或子标准在层级中的相对重要性, 并在阿联酋35家五星级酒店和顶级旅游机构的员工中测试了该模型。

研究结果

人类知识、服务和机器人应用是影响自动化和人工智能实施的最重要因素。酒店业和旅游业的从业人员和研究人员可以应用拟议的框架来制定实施和管理自动化和人工智能的可持续战略。拟议的框架也可能有助于未来研究人工智能在酒店业和旅游业的实施。

独创性

我们为决策者开发了一个框架, 用来识别并帮助其克服全球酒店业和旅游业实施自动化和人工智能方面的一些挑战。研究结果为今后该领域的研究提供了一个议程。

Automatización e inteligencia artificial en hostelería y turismo

Resumen

Propósito

Este estudio tuvo como objetivo desarrollar un marco para identificar y priorizar los factores clave en la implementación de la automatización y la inteligencia artificial (IA) en la industria hotelera y turística.

Diseño/metodología/enfoque

utilizamos el proceso de jerarquía analítica, un método de toma de decisiones de varios criterios, para priorizar los factores que influyen en la automatización y la implementación de la IA. Desarrollamos un modelo con cinco criterios (conocimiento humano, servicios, aplicaciones robóticas, entorno interno y entorno institucional) y 23 subcriterios obtenidos de estudios previos. Diseñamos un cuestionario en forma de comparaciones por pares basados en la estructura jerárquica propuesta. Usamos una escala de clasificación de nueve puntos para mostrar la importancia relativa de cada variable en la jerarquía y probamos el modelo entre el personal de 35 hoteles de cinco estrellas y las agencias de turismo mejor calificadas en los Emiratos Árabes Unidos.

Hallazgos

el conocimiento humano, los servicios y las aplicaciones robóticas fueron los factores más importantes que influyeron en la automatización y la implementación de la inteligencia artificial. Los profesionales e investigadores de la industria hotelera y turística podrían aplicar el marco propuesto para desarrollar estrategias sostenibles para implementar y gestionar la automatización y la IA. El marco propuesto también puede ser útil en estudios futuros que examinen la implementación de la IA en la industria hotelera y turística.

Originalidad

desarrollamos un marco para los formuladores de políticas que identifica y podría ayudar a superar algunos de los desafíos en la implementación de la automatización y la inteligencia artificial en el sector de la hospitalidad y el turismo en todo el mundo. Los resultados proporcionan una agenda para futuras investigaciones en esta área.

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