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This study aims to extend the technology acceptance model (TAM) to examine whether the introduction of robots influences employees’ behavioral intentions to use robots and awareness of robots to promote human–robot collaboration (HRC). Besides, the role of strategic human resource management (HRM) involvement as a moderator in the perception of robots as a team member was investigated.

Data were collected from 500 respondents via the Amazon Mechanical Turk platform. After data cleaning, 329 valid responses were analyzed. Partial least squares structural equation modeling was applied using Smart PLS Ver. 3.0 to test the study’s measurement and proposed research model.

The study results show that robots’ perceived usefulness and ease of use positively influence employees’ behavioral intentions to use robots. In addition, the advantages and disadvantages of robots have a positive impact on robot awareness. Employees’ behavioral intentions and awareness contribute positively to HRC. On the other hand, the moderating role of strategic human resources (HR’s) involvement in the relationships was insignificant.

This study provides an exclusively applied understanding of robot presence and embodiment relevant to real-world HRC. In the travel, tourism and hospitality (TTH) industry, employees’ intention to use robots and robot awareness are significant factors. However, HRM involvement without the acceptance of robots could not enhance HRC.

Based on the literature review, to the best of the authors’ knowledge, this study is one of the first on this topic and extends TAM with new antecedents related to robot use, robot awareness and HRC in the TTH industry. In addition, this model attempts to determine the factors that favor HRC in the industry. This study also assessed the moderating role of strategic HR’s involvement in the behavioral intention of robot use, robot awareness and HRC.

由于高科技领域的快速扩张, 机器人成为旅行、旅游和酒店业的传统。因此, 本文旨在研究是否机器人的采用会影响员工的离职意愿和人机协作和人力资源管理在激励员工与机器人团队合作方面的作用。

本研究采用定量方法。总共 500本研究的数据是通过 MTurk 平台收集, 但其中, （n = 329）是最终确定样本量, 并应用基于偏最小二乘的结构方程模型（PLS-SEM）使用 Smart PLS Ver. 3 检验研究的测量和关系模型

该研究的结果确定了机器人的有用性和易用性人机协作对员工行为意向的积极影响, 除此之外, 机器人的优势和劣势尽管对意识产生积极影响, 但员工的意识不影响人机协作。以及 HRM 战略参与的角色对员工意愿的影响并不充分且积极。

这项研究对员工的机器人的使用意图和人力资源管理在机器人采用和激励决策中的员工进行协作提供了应用性的理解。意识是对员工离职的一项动态担忧; 因此, 人力资源管理应该确保采用机器人对员工有帮助

这是第一项有条不紊地研究人力资源管理在旅行、旅游和酒店研究中的人机协作。这项研究对员工重要性以及先进的旅游技术进行了传播。

In spite of the increased interest of academics, there has not been a thorough examination of the actors and factors of accessible tourism (AT) development. The purpose of this study is to investigate the relationships between stakeholders’ attitudes, collaborative intervention and corporate sustainability and responsibility (CS&R) and the implementation of accessible tourism (IAT).

Focus group discussion, an expert content validity test and structural equation modelling were all used as part of a mixed-methods approach. At the longest sea beach in the world, located in Bangladesh, data was collected from the tourism stakeholders using an on-site questionnaire survey.

Stakeholders’ attitude is significantly related to their collaborative intervention, but accessibility inclusive corporate substantiality and responsibility (AICSR) mediates the relationships between attitude and implementation, as well as collaborative intervention and implementation. As a result, AICSR is identified as a key driver in the IAT.

Purposive sampling was used to select stakeholders from Bangladesh’s most popular tourist destination. Nonetheless, the statistically valid model of this exploratory study can be tested for generalization in other contexts with a large sample size. The findings will bring diverse stakeholders to light and encourage barrier-free tourist growth that could improve the destinations’ comparative advantage and competitiveness.

This study is, to the best of the authors’ knowledge, one of the first studies to use rigorous quantitative methods to investigate AT implementation with a focus on CS&R. It adds to the existing AT literature by providing a scale and model of IAT while highlighting the extent to which AT can be implemented within CS&R.

尽管学术界对无障碍旅游发展的参与者和因素越来越感兴趣, 但还没有相关研究对此领域进行彻底的调查。本研究的目的是调查利益相关者的态度、协作干预、企业可持续性和责任 (CS&R) 与实行无障碍旅游 (IAT)之间的关系。

本文采用的混合研究方法包括了焦点小组讨论、专家内容有效性测试和结构方程模型 (SEM)。在位于孟加拉国的世界上最长的海滩上, 我们通过现场问卷调查从旅游利益相关者那里收集了数据。

利益相关者的态度与其协作干预显著相关, 但企业可持续性和责任的无障碍包容性（AICSR）在态度与实施以及协作干预与实施之间的关系中起中介作用。因此, AICSR 被确定为实施无障碍旅游的关键驱动力。

立意抽样法用于从孟加拉国最受欢迎的旅游目的地选择利益相关者。尽管如此, 该探索性研究的统计有效模型可以在具有大样本量的其他情况下进行泛化测试。调查结果将揭示不同的利益相关者, 并鼓励无障碍的旅游增长, 从而提高目的地的比较优势和竞争力。

本文是最早以CS&R为重点, 使用严格的定量方法调查实行无障碍旅游的研究之一。它通过提供 IAT 的规模和模型来补充现有的无障碍旅游文献, 同时强调无障碍旅游可以在 CS&R 中实施的程度。

A pesar del creciente interés de los académicos, no se han examinado a fondo los actores y factores del desarrollo del turismo accesible. El propósito de este estudio es investigar las relaciones entre las actitudes de los actores, la intervención colaborativa y la sostenibilidad y responsabilidad corporativa (RSC) y la implementación del turismo accesible (ITA).

El estudio utiliza un enfoque de métodos mixtos que incluye una discusión de grupo focal, una prueba de validez de contenido de expertos y un modelo de ecuaciones estructurales (MEE). En la playa marítima más larga del mundo, situada en Bangladesh, se recogieron datos de los agentes turísticos mediante una encuesta con cuestionario in situ.

La actitud de las partes interesadas está significativamente relacionada con su intervención colaborativa, pero la sustancialidad y la responsabilidad corporativa inclusiva de la accesibilidad (SRCIA) media las relaciones entre la actitud y la implementación, así como la intervención colaborativa y la implementación. Como resultado, la SRCIA se identifica como un factor clave en la implementación del turismo accesible.

Se utilizó un muestreo discrecional para seleccionar a las partes interesadas del destino turístico más popular de Bangladesh. No obstante, el modelo estadísticamente válido de este estudio exploratorio puede probarse para su generalización en otros contextos con una muestra grande. Las conclusiones mostrarán diversos grupos de interés y fomentarán el crecimiento del turismo sin barreras que podría mejorar la ventaja comparativa y la competitividad de los destinos.

Se trata de uno de los primeros estudios que utilizan métodos cuantitativos rigurosos para investigar la implantación del turismo accesible centrándose en la RSC. Contribuye a la bibliografía existente sobre turismo accesible al proporcionar una escala y un modelo de ITA, al tiempo que pone de relieve hasta qué punto se puede implementar el turismo accesible dentro de la RSC.

Collaborative consumption has caught researchers’ attention due to its rapid growth. Drawing on the causal relationship between cognition, affection and conation and collaborative consumption literature, this paper aims to investigate the drivers of brand loyalty and revisit intentions in the context of Airbnb.

The data was collected from 399 Airbnb users using the online survey. Partial least square structural equation modeling was used to test hypotheses. Mediation tests were conducted with multiple mediation analyses.

The study reveals that brand likeability enhanced by customers’ trust in both hosts and Airbnb drives satisfaction, brand loyalty and revisit intention. Moreover, satisfaction impacts revisit intention through a full mediation of brand loyalty.

The role that trust and likability play in enhancing brand loyalty and the intention to revisit is not well documented in the literature on collaborative consumption. The results show that consumers’ trust (cognition) is the first step to the success of collaborative consumption, and consumers’ trust in both platform and hosts will make the Airbnb brand more attractive and likable. When brand likability (affection) grows deeper through more engagement, consumers are more willing (intention) to spend more time staying in Airbnb accommodation.

Although existing literature discusses trust from the consumers’ standpoint and categorizes it into two types, the influence of trust on brand likability has never been tested before. Based on the causal relationship between cognition, affection and conation, to the best of the authors’ knowledge, this paper is the first one investigating trust in both the platform and hosts as key drivers of brand likability, which enhances customer satisfaction, brand loyalty and revisit intentions in the Airbnb context.

协作消费由于其快速增长而引起了研究人员的关注。 基于文献中对于认知、情感和意向与协作消费之间的因果关系, 本文调查了 Airbnb 背景下品牌忠诚度和重访意图的驱动因素。

数据是通过在线调查从 399 名 Airbnb 用户那里收集的。 PLS-SEM 用于检验假设。 中介测试通过多重中介分析进行。

研究表明, 客户对房东和 Airbnb 的信任增强了品牌喜爱度, 从而提高了满意度、品牌忠诚度和重访意愿。 此外, 满意度通过品牌忠诚度的全面调节影响重访意愿。

然已有文献从消费者的角度讨论信任并将其分为两种类型, 但信任对品牌好感度的影响从未被检验过。 基于认知、情感和意向之间的因果关系, 本文首次调查了平台和房东的信任作为品牌好感度的关键驱动因素, 从而提高了 Airbnb 背景下的客户满意度、品牌忠诚度和重访意愿。

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

A bibliometric analysis, which enables visual mapping and observation of the domain, was conducted using journal articles retrieved during the period of 2000 to 2018.

The understanding of smart tourism is shaped and enhanced through collaborative network of researchers. As the domain develops, its reach expands across different networks as well as core themes.

Data for the study was generated from English-written journal articles that were produced from a database search of specific keywords associated with smart tourism.

Findings can prove useful to academic researchers and industry practitioners to aid their understanding of smart tourism research development, identify the underlying context and aid in coherent development of the concept.

The paper is one of the first articles to provide a greater understanding of smart tourism as a research topic by examining its evolution in an academic context through bibliometric analysis.

本论文对智慧旅游相关知识进行审阅, 并通过协作网络对其概念发展进行梳理。

本论文采用Gephi文献计量分析方法, 对其相关领域的发展进行视觉化处理, 构建出发展图。研究样本为2000年至2018年发表的期刊文章, 通过在线搜索数据库获得。

通过研究者之间的协作网络, 本论文研究结果对智慧旅游的认识清晰形成并且更加深刻。自智慧旅游领域发展以来, 其发展扩展到不同网络以及多个核心主题。

研究样本只局限于数据库中的英文期刊文章, 以及采用有限的智慧旅游的关键词搜索。

研究结果对学术学者和业界人士有着深刻效用, 以帮助他们对智慧旅游研究发展构筑清晰理解, 找到其研究背景以及概念发展的核心过程。

By highlighting the important role of information and communications technologies (ICTs) in readdressing the competitive balance between tourism small- and medium-sized enterprises (SMEs) and larger firms, this paper serves as a call to action to governments, regional tourism organisations and other policy-level stakeholders to facilitate more rapid diffusion of the developing smart tourism concept, helping to support tourism agenda 2030 and multiple UN’s Sustainable Development Goals.

Reviewing the literature on ICT use in tourism, this paper builds a case for deploying smart tourism to enhance the competitiveness of SMEs.

Without a collaborative approach, tourism SMEs are unlikely to use emerging technologies effectively to compete against larger peers and online platforms. By adopting a smart tourism approach, network effects between stakeholders can trump scale, allowing SMEs to compete more effectively and destinations to promote inclusivity and sustainable economic growth.

Highlighting the pivotal role that ICTs in general and Smart Tourism in particular can play in addressing the competitive imbalance between SMEs and larger players, this paper serves as a call for action for governments’ regional tourism organisations and other policy-level stakeholders to hasten their adoption of smart tourism principles as a means of supporting tourism agenda 2030 and furthering the UN’s Sustainable Development Goals.

文章综述了旅游中ICT使用的文献, 构建了一个使用智慧旅游提高中小企业竞争力的案例。

文章强调了信息和通信技术 (ICTs) 在重新调整旅游业中小企业和大型企业之间的竞争平衡方面的重要作用, 呼吁政府、区域旅游组织和其他政策层面的利益相关者采取行动, 促进发展中的智慧旅游概念的更快传播, 帮助支持 2030 年旅游议程和联合国的多项可持续发展目标。

中小型旅游企业没有协作方法则无法有效使用新兴技术与大型企业和同类型平台竞争。采用智慧旅游方法, 利益相关者之间的网络效应可以战胜规模, 使中小型企业可以更有效竞争, 促进目的地包容性和可持续经济增长。

强调在大众和尤其是智慧旅游中, ICTs 扮演者解决中小型企业和大企业不平衡竞争力的关键角色, 呼吁政府、区域旅游组织和其他政策层面的利益相关者加快对智慧旅游准则的适应, 以支持 2030 年旅游议程和进一步的联合国可持续发展目标

Revisando la literatura sobre el uso de las tecnologías de la información y la comunicación (TIC) en turismo, este artículo desarrolla un caso de la implantación del Turismo Inteligente en la mejora de la competitividad de las Pequeñas y Medianas Empresas (PYMES).

Al destacar el importante papel de las TIC en el reequilibrio competitivo entre las PYMES turísticas y las grandes empresas, este artículo sirve de llamada a la acción a los gobiernos, las organizaciones regionales de turismo y otras partes interesadas a nivel político para facilitar una difusión más ágil del turismo inteligente, contribuyendo a apoyar la agenda turística 2030 y los múltiples Objetivos de Desarrollo Sostenible de la ONU.

Sin un enfoque colaborativo, es improbable que las PYMES turísticas utilicen eficazmente las tecnologías emergentes para competir con sus homólogas más grandes y las plataformas en línea. Si se adopta un enfoque de turismo inteligente, los efectos de red entre las partes interesadas pueden ganar terreno, lo que permite a las PYMES competir con mayor eficacia y a los destinos promover la inclusividad y el crecimiento económico sostenible.

Al destacar el papel fundamental que pueden desempeñar las TIC en general y el turismo inteligente en particular a la hora de abordar el desequilibrio competitivo entre las PYME y las grandes empresas, este trabajo sirve de llamamiento a la acción para que los gobiernos, las organizaciones regionales de turismo y otras partes interesadas a nivel político aceleren la adopción de los principios del turismo inteligente como medio de apoyar la Agenda de Turismo 2030 y promover los Objetivos de Desarrollo Sostenible de las Naciones Unidas.

Tourism is integral to the United Nations’ Sustainable Development Goals (UN SDGs) and is closely linked to air transport. This paper aims to explore their relationship, emphasising impacts on accessibility, connectivity and collaborative efforts between airlines, destination management organisations and stakeholders. Improved air transport contributes to tourism-led growth, economic development, job creation and cultural exchange. However, environmental challenges prompt innovation with cleaner technologies and sustainable aviation fuels.

Opinion piece.

Linking aviation and tourism to the UN SDGs, the paper showcases contributions done to date to environmental, social and economic aspects. The paper suggests a focused strategy for aviation to align more closely with the UN SDGs. Actions such as exploring alternative fuels, prioritising energy-efficient aircraft, addressing local impacts and fostering global collaboration are crucial in addressing gender disparities for a more inclusive future.

This piece examines air transport developments from 1946 to 2020, revealing transformative periods marked by regulatory agreements, technological advancements and sustainability initiatives. The paper also addresses COVID-19 impacts, highlighting vulnerabilities, resilience and lessons for adaptability and sustainability.

旅游业是联合国可持续发展目标的组成部分, 与航空运输密切相关。本文探讨了它们之间的关系, 强调了对航空公司、目的地管理组织 (DMO) 和利益相关者之间的可达性、连通性和协作的影响。改善航空运输有助于旅游业主导的增长、经济发展、创造就业机会和文化交流。然而, 环境挑战促使清洁技术和可持续航空燃料的创新。

观点文章。

该文章将航空和旅游业与联合国可持续发展目标联系起来, 展示了迄今为止在环境、社会和经济方面所做的贡献。该文章提出了一项有针对性的航空战略, 从而更紧密地配合联合国可持续发展目标。探索替代燃料、优先考虑节能飞机、解决当地影响和促进全球合作等行动对于解决性别差异、创造更具包容性的未来至关重要。

本文探讨了 1946 年至 2020 年航空运输的发展, 揭示了以监管协议、技术进步和可持续发展举措为标志的变革时期。该文章还讨论了 COVID-19 的影响, 强调了脆弱性、复原力以及适应性和可持续性的经验教训。

El turismo forma parte integral de los ODS de la ONU y está estrechamente vinculado al transporte aéreo. Este documento explora su relación, haciendo hincapié en las repercusiones sobre la accesibilidad, la conectividad y los esfuerzos de colaboración entre las aerolíneas, las organizaciones de gestión de destinos (DMOs) y las partes interesadas. La mejora del transporte aéreo contribuye al crecimiento impulsado por el turismo, al desarrollo económico, a la creación de empleo y al intercambio cultural. Sin embargo, los retos medioambientales impulsan la innovación con tecnologías más limpias y combustibles de aviación sostenibles.

Artículo de opinión.

Al vincular la aviación y el turismo con los ODS de la ONU, el artículo muestra las contribuciones realizadas hasta la fecha a los aspectos medioambientales, sociales y económicos. El documento sugiere una estrategia centrada para que la aviación se alinee más estrechamente con los ODS de la ONU. Acciones como explorar combustibles alternativos, priorizar aeronaves energéticamente eficientes, abordar los impactos locales y fomentar la colaboración global son cruciales, así como abordar las disparidades de género para un futuro más inclusivo.

Este artículo examina la evolución del transporte aéreo desde 1946 hasta 2020, revelando periodos transformadores marcados por acuerdos normativos, avances tecnológicos e iniciativas de sostenibilidad. El artículo también aborda los impactos del COVID-19, destacando las vulnerabilidades, la resistencia y las lecciones para la adaptabilidad y la sostenibilidad.

This study aims to enhance the knowledge by offering perspectives from an emerging market by reviewing the existing literature on food tourism. This study applies a multimethod analysis, providing insights into the advancement of food tourism in India, the contributions, critical findings and emerging research themes.

The study adopted a multimethod analysis using descriptive, narrative and bibliometric analysis using VOSviewer to analyze research papers published on food tourism in India shortlisted from Scopus and Google Scholar.

Future research should focus on gauging the potential of food tourism in different regions of the country, applying theoretical frameworks that have not been used. “Culinary Diversity and Heritage,” “Sustainable and Responsible Food Tourism,” “Consumer Behavior and Food Tourism Experiences,” “Rural Development and Economic Impact,” “Technology and Digitalization,” “Stakeholder Collaboration,” “Food Safety and Hygiene” and “Policy and Regulation” were the identified future research themes. These findings are significant for emerging economies across the globe.

This study summarized the progress of food tourism research in India, the contributions and emerging themes, supplementing the need to study food tourism in India. This study contributed methodologically to the literature by adopting a multimethod review combining descriptive, narrative and bibliometric analysis. Finally, by proposing ideas and constructs for future research, this study provides directions for future food tourism research from an emerging market’s perspective.

Findings will assist managers and stakeholders in comprehending the factors influencing tourists, destination marketing and branding, aiding in effective planning and executing food tourism strategies to promote destinations. The identified themes and keywords can help academicians and researchers dwell upon the emerging research themes in food tourism.

To the best of the author’s knowledge, this is the first study analyzing food tourism research in India adopting a multimethod analysis. The study provides an in-depth analysis applying descriptive, narrative and bibliometric analysis, highlighting the critical trends and research themes. A framework for future studies was also proposed.

该研究旨在通过回顾有关美食旅游的现有文献, 提供来自新兴市场的观点, 从而强化现有的知识。本研究采用多方法分析, 深入了解印度美食旅游的发展、贡献、重要发现和新兴研究主题。

该研究采用了多种方法分析, 使用 VOSviewer 进行描述性、叙述性和文献计量分析, 以分析从 Scopus 和谷歌学术搜索中入围的关于印度美食旅游的研究论文。

未来的研究应侧重于衡量该国不同地区美食旅游的潜力, 应用尚未使用的理论框架。 “烹饪多样性和传统”、“可持续和负责任的美食旅游”、“消费者行为和美食旅游体验”、“农村发展和经济影响”、“技术和数字化”、“利益相关者协作”、“食品安全和卫生”, “政策与法规”是确定的未来研究主题。这些发现对全球新兴经济体具有重要意义。

本研究总结了印度美食旅游研究的进展、贡献和新兴主题, 补充了研究印度美食旅游的必要性。本研究采用结合描述性、叙述性和文献计量分析的多方法回顾, 在方法论上为文献做出了贡献。最后, 通过提出未来研究的思路和结构, 本研究从新兴市场的角度为未来的美食旅游研究提供了方向。

调查结果将帮助管理者和利益相关者理解影响游客、目的地营销和品牌的因素, 帮助有效规划和执行食品旅游战略以促进目的地。 确定的主题和关键词可以帮助院士和研究人员深入研究食品旅游中新兴的研究主题。

El estudio tiene como objetivo mejorar el conocimiento al ofrecer perspectivas de un mercado emergente mediante la revisión de la literatura existente sobre turismo gastronómico. Este estudio aplica un análisis de múltiples métodos, que proporciona información sobre el avance del turismo gastronómico en la India, las contribuciones, los hallazgos críticos y los temas de investigación emergentes.

El estudio adoptó un análisis multimétodo mediante un análisis descriptivo, narrativo y bibliométrico utilizando VOSviewer para analizar los artículos de investigación publicados sobre el turismo gastronómico en la India preseleccionados de Scopus y Google Scholar.

La investigación futura debería centrarse en calibrar el potencial del turismo gastronómico en las distintas regiones del país, aplicando marcos teóricos que no se han utilizado. “Diversidad culinaria y patrimonio”, “Turismo gastronómico sostenible y responsable”, “Comportamiento del consumidor y experiencias de turismo gastronómico”, “Desarrollo rural e impacto económico”, “Tecnología y digitalización”, “Colaboración de las partes interesadas”, “Seguridad e higiene alimentaria”, “Política y regulación” fueron los temas de investigación futura identificados. Estos hallazgos son significativos para las economías emergentes de todo el mundo.

Este estudio resumió el progreso de la investigación sobre turismo alimentario en la India, las contribuciones y los temas emergentes, complementando la necesidad de estudiar el turismo alimentario en la India. Este estudio contribuyó metodológicamente a la bibliografía al adoptar una revisión multimétodo que combina el análisis descriptivo, narrativo y bibliométrico. Por último, al proponer ideas y constructos para futuras investigaciones, este estudio proporciona orientaciones para futuras investigaciones sobre el turismo gastronómico desde la perspectiva de un mercado emergente.

Los resultados ayudarán a los gestores y a las partes interesadas a comprender los factores que influyen en los turistas, el marketing de los destinos y la creación de marcas, contribuyendo a una planificación y ejecución eficaces de las estrategias de turismo gastronómico para promocionar los destinos. Los temas y palabras clave identificados pueden ayudar a los académicos e investigadores a profundizar en los temas de investigación emergentes en el turismo gastronómico.

Se trata del primer estudio que analiza la investigación sobre turismo gastronómico en la India adoptando un análisis multimétodo. El estudio proporciona un análisis en profundidad aplicando un análisis descriptivo, narrativo y bibliométrico, destacando las tendencias críticas y los temas de investigación. También se propone un marco para futuros estudios.

This paper aims to analyze the spillover effects between online food delivery providers’ (OFDs) performance and restaurant brands. It proposed a model of three determinants for e-satisfaction with OFDs and related these variables to restaurants’ brand satisfaction, image and loyalty.

A survey was designed, and 332 responses from delivery apps users in Ecuador were collected. A partial least squares structural equations model was applied.

The three proposed determinants of OFD satisfaction were significant: e-service quality, personal aspects of delivery workers and perceived food quality. Regarding the spillover effects, e-service quality and personal aspects had an influence on perceived food quality, mediating a chain of effects on restaurants’ brand satisfaction, image and loyalty.

Data were collected before COVID-19. Further studies will need to be undertaken in the context of the COVID-19 pandemic because minimal contact between delivery workers and customers is expected. In addition, food quality perceptions may include new concerns about biosafety norms.

Practices aiming to improve the service experience with OFDs are suggested, including proper training, supervision and improvement of delivery workers’ conditions. On the other hand, because restaurants do not control OFD’s performance, their contractual agreements should focus on avoiding service failures that erode restaurants’ brand equity.

This paper fulfills the need to study the spillover effects in the context of the collaborative economy, where delivery companies, delivery workers and restaurants work together to provide a service, and the performance of one of the parties impacts the consumers’ perceptions of the other party.

本调查旨在分析在线食品配送提供商 (OFD) 绩效与餐厅品牌之间的溢出效应。 它提出了 OFD 电子满意度的三个决定因素模型, 并将这些变量与餐厅的品牌满意度、形象和忠诚度相关联。

本研究设计了一项调查, 并收集了来自厄瓜多尔交付应用程序用户的 332 份回复。 应用PLS结构方程模型。

OFD 满意度的三个拟议决定因素非常重要：电子服务质量、送货员的个人方面和感知的食品质量。 关于溢出效应, 电子服务质量和个人方面对感知食品质量有影响, 调节对餐厅品牌满意度、形象和忠诚度的连锁影响。

本研究数据是在 COVID-19 之前收集。 由于预计送货员和顾客之间的接触最少, 因此需要在 COVID-19 大流行的背景下进行进一步研究。 此外, 食品质量认知可能包括生物安全规范的新担忧。

本研究建议采取旨在改善 OFD 服务体验的做法, 包括适当的培训、监督和改善送货工人的条件。 另一方面, 由于餐厅不控制 OFD 的绩效, 因此他们的合同协议应着重于避免服务失败而损害餐厅的品牌资产。

本文满足了研究协作经济背景下溢出效应的需要, 在这种情况下, 送货公司、送货工人和餐馆共同提供服务, 其中一方的表现会影响消费者的 对方的看法。

Internet-based business-to-business electronic procurement (B2B e-procurement) systems are rapidly becoming the primary platform for interorganizational transactions and the delivery of products and services in the travel and tourism industries. Therefore, the purpose of this study is to investigate the critical success factors (CSFs) and implementation strategies for B2B e-procurement systems in travel agency supply chains.

This study developed a multifaceted evaluation framework that draws on the relevant literature and the technology–organization–environment framework. The CSFs underlying B2B e-procurement adoption were identified using hybrid criteria decision-making methods. Purposive sampling was used, and 49 valid questionnaires were obtained from retail travel agencies in Taiwan.

The results reveal that the top four CSFs are system stability, system reliability, sales dynamics and product line availability. By focusing on these CSFs, travel wholesalers can most effectively allocate their limited resources to provide an extensive range of products and services to their clients, improve e-procurement services and enhance interorganizational collaboration in travel agency supply chains.

This study developed a multifaceted evaluation framework and identified four CSFs to assist in the adoption of B2B e-procurement systems in travel agency supply chains.

基于 Internet 的企业对企业电子采购（B2B 电子采购）系统正迅速成为旅行和旅游业中组织间交易以及产品和服务交付的主要平台。 因此, 本研究的目的是调查旅行社供应链中 B2B 电子采购系统的关键成功因素 (CSF) 和实施策略。

本研究开发了一个多方面的评估框架, 该框架借鉴了相关文献和技术-组织-环境框架。 采用混合标准决策 (MCDM) 方法确定了采用 B2B 电子采购的 CSF。 采用有目的的抽样方式, 共从台湾零售旅行社获得49份有效问卷。

结果显示, 排名前四的 CSF 是系统稳定性、系统可靠性、销售动态和产品线可用性。 通过关注这些 CSF, 旅游批发商可以最有效地分配其有限资源, 为其客户提供范围广泛的产品和服务, 改善电子采购服务, 并加强旅行社供应链中的组织间协作。

本研究开发了一个多方面的评估框架, 并确定了四个 CSF, 以协助在旅行社供应链中采用 B2B 电子采购系统。

The purpose of this paper is to design an algorithm to predict hotel profitability by means of deep learning techniques.

The methodology consists of a multi-layered neural network that includes a lag of profitability as the input. Furthermore, other input variables are related to hotel and tourist destinations; the raw data for hotel and tourist destinations were collected from multiple public access data sources.

The results show that the proposed model has a high predictive capacity of hotel profitability in all the years studied (2005-2011), according to the performance metrics evaluated within the sample. Thus, the authors can conclude that deep learning algorithms can be a useful tool to evaluate hotel performance.

The algorithm designed in this research could be of interest to improve decision-making processes related to profitability, for example, in evaluating the creation of new hotels. Moreover, the model provides a quick and efficient analyses that could be of interest to investors and lenders. In particular, they could compare investment alternatives in the hotel sector. Also, according to the results, the location variables are important determinants of hotel profitability, and consequently, hotel managers should collaborate with the tourist destination managers to improve profitability. From an internal perspective, hotel managers should focus on the management of human resources.

This paper is the first empirical study that predicts hotel profitability using deep learning techniques. In addition, this methodology is applied to analyse hotel profitability, for the first time, in the Spanish market. This market is an ideal analytical framework because of its heterogeneity with respect to hotel supply in terms of seasonality and coastal characteristics, among others.

本论文旨在设计一种数算制度通过深度学习的机制来预测酒店盈利性。

本论文采用多层神经网络、以盈利时间区间作为单位, 来进行计算。此外, 其他关于酒店和旅游目的地的数据因子也包含在研究范围内；研究样本包括酒店和旅游目的地的原数据, 这些数据通过多方公开数据渠道获得。

研究结果表明提出的数算制度模型对于所有年份（2005-2011）的酒店盈利性研究有显著预测功效。此判定是由数据样本的效益矩阵得出。因此, 我们能够形成结论：深度学习的数算制度可以作为衡量酒店效益的有力工具。

本论文设计的数算制度对于提高盈利性的决策过程有很大意义, 比如评估新酒店建成后效益等。此外, 本论文设计的模型对于投资者和贷款方做出快速和有效分析有着显著意义。特别是这个模型能够使得他们在酒店业中对多个投资方案做横向比较。此外, 根据结果表明地理位置因素对于酒店盈利性占据重要位置, 因此, 酒店经理应该与旅游目的地经理协作来提高酒店盈利性。从酒店内部管理角度出发, 酒店经理应该着重人力资源的管理。

本论文是首个实证研究通过深度学习技术来预测酒店盈利性。此外, 这种研究方法也是首次在西班牙市场实证分析酒店盈利性。西班牙市场是理想的分析样本, 因为其由于季节性和海岸特点的酒店市场的多样性。