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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.

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.

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.

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

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。

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。

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。

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

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.

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.

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.

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.

This study aims to explore the dynamics of resilience in tourism and hospitality enterprises by investigating the influence of internal and external contextual factors (i.e. adaptive performance and institutional orientation) on the relationship between entrepreneurs’ resilience and business continuity indicators (i.e. perception of career insecurity and business exit intention).

In the Covid-19 pandemic context, quantitative data were collected using self-administrated questionnaires from entrepreneurs (founders of small-sized restaurants and travel agents in Egypt) using structural equation modeling.

The study reveals that entrepreneurs’ resilience under adversities directly correlates with business continuity indicators, with adaptive performance and institutional orientation functioning as mediators.

The socio-demographic characteristics of entrepreneurs could be further investigated to observe the differences based on age, education and region. The type of business (i.e. restaurants and travel agents) could have an impact on the examined relationships. Therefore, further studies can use multi-group analysis to examine such differences between various sub-sectors of the hospitality business. Finally, the cross-sectional sample method used in this study is another limitation. In any study in which causality is inferred, longitudinal research confirms stronger inferences (Morgan & Hunt, 1994).

An instant implication is that entrepreneurs can take proactive actions to enhance their resilience. Entrepreneurs should seek to influence their own skills and abilities through various educational and training programs. For example, they can take advantage of business seminars, workshops and executive education courses. Entrepreneurs who have the chance of enhancing their skills in solving complex problems, identifying their strengths, managing their emotions are better able to adapt to unfavorable circumstances.

The inhabited environment. Entrepreneurs should be institutionally oriented by building strong communications and networks with key actors and business-to-business customers. This would help entrepreneurs to understand the rules of the game, adapt to the environment, gain market legitimacy and accordingly acquire the social and financial support when hazards occur.

The extant literature lacks evidence about the internal and external contextual factors underlying the process of resilience in small and medium-sized enterprises and its outcomes. Research on entrepreneurship has rarely discussed the antecedents of business withdrawal. This study contributes to addressing this research gap.

本研究通过考察内部和外部环境因素(即适应性绩效和制度导向)对企业家弹性与企业持续经营指标(即职业不安全感与离职意愿)。

在Covid-19大流行的背景下, 采用结构方程模型, 通过对企业家(埃及小型餐馆和旅行社的创始人)的自我管理问卷收集定量数据。

企业家逆境韧性与企业持续经营指标直接相关, 适应性绩效和制度导向发挥中介作用。

现有文献缺乏中小企业弹性过程及其结果的内外部环境因素的证据。关于创业的研究很少讨论企业退出的原因。本研究有助于解决这一研究差距。

Esta investigación explora la dinámica de la resiliencia en las empresas de turismo y hotelería mediante la investigación de la influencia de factores contextuales internos y externos (es decir, desempeño adaptativo y orientación institucional) en la relación entre la resiliencia de los emprendedores y los indicadores de continuidad empresarial (es decir, percepción de carrera inseguridad e intención de salida del negocio).

En el contexto de la pandemia de Covid-19, se recopilaron datos cuantitativos mediante cuestionarios autoadministrados de empresarios (fundadores de pequeños restaurantes y agentes de viajes en Egipto) utilizando modelos de ecuaciones estructurales.

El estudio revela que la resiliencia de los emprendedores ante las adversidades se correlaciona directamente con los indicadores de continuidad del negocio, con el desempeño adaptativo y la orientación institucional funcionando como mediadores.

La literatura existente carece de evidencia sobre los factores contextuales internos y externos que subyacen al proceso de resiliencia en las pequeñas y medianas empresas y sus resultados. La investigación sobre el espíritu empresarial rara vez ha discutido los antecedentes de la retirada de empresas. Este estudio contribuye a abordar esta brecha de investigación.

Regarding human resource and labour relations management, academia focuses mainly on cities; however, rural areas are an integral part of China's economic structure. This study focuses on the movie projection industry in China's rural areas and explores how human resource practices (HRPs) are transformed and the labour process is reconstructed in digital transformation.

We adopt a case study of a rural movie projection company. The company's HRPs reconstructed the labour process of movie projection, and they have been promoted as national standards. Data were collected from in-depth interviews, files and observations.

Rural movie projection companies combine high-performance and paternalistic HRPs in the media industry's digital transformation. HRPs and digital technology jointly reconstruct the labour process. First, the HRPs direct labour process practices towards standardisation. Second, the digital supervision platform guides the control style from simple to technical, placing projectionists under pressure while increasing management efficiency. Third, rural movies made using digital technology have disenchanted rural residents. Accordingly, the conventional relationships between the “country and its citizens,” “individuals themselves,” and “models and individuals” have been removed, and a new relationship between “individuals themselves” is formed thanks to the novel HRPs.

This research plays a crucial role in exposing researchers to the labour process of rural movie projection, which is significant in China but often ignored by Western academia and advances the Chinese contextualisation of research on labour relations.