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Transforming spaces, shaping choices: The impact of room aesthetics on guest booking preferences 改造空间,塑造选择:客房美学对客人预订偏好的影响
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-18 DOI: 10.1016/j.ijhm.2025.104100
Luana Nanu , Veena Chattaraman , Imran Rahman
This study examines the impact of hotel room design, in terms of innovativeness and typicality, on guests' booking intentions within the upper-midscale hotel sector in the United States. Drawing from the Pleasure-Interest Model of Aesthetic Liking and the Most Advanced Yet Acceptable (MAYA) principle, the research explores how design aesthetics influence consumer pleasure and interest, affecting booking intentions. The study also delves into the moderating effects of travel goals (hedonic vs. utilitarian) and travel expertise (high vs. low) on the relationships. Findings indicate that a balance between innovativeness and typicality in hotel room design fosters favorable booking intentions, especially when aligned with utilitarian travel goals. Moreover, travel expertise moderates the impact of room design on booking intentions, suggesting that experienced travelers exhibit a stronger preference for the MAYA principle. The results offer insights into the optimal design strategy for upper midscale hotels, emphasizing the significance of a harmonious blend of innovativeness and typicality to cater to guests' functional and aesthetic preferences.
本研究考察了酒店客房设计的创新性和典型性对美国中高档酒店客人预订意向的影响。本研究从审美喜好的愉悦-兴趣模型和最先进但可接受(MAYA)原则出发,探讨设计美学如何影响消费者的愉悦和兴趣,进而影响预订意愿。研究还探讨了旅游目标(享乐主义vs功利主义)和旅游专业知识(高技能vs低技能)对这种关系的调节作用。研究结果表明,酒店客房设计的创新性和典型性之间的平衡能够促进良好的预订意向,尤其是在符合实用主义旅行目标的情况下。此外,旅游经验会缓和房间设计对预订意向的影响,这表明有经验的旅行者对MAYA原则表现出更强的偏好。研究结果为中高档酒店的最佳设计策略提供了见解,强调了创新性和典型性和谐融合的重要性,以满足客人的功能和审美偏好。
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引用次数: 0
AI-generated recommendations: Roles of language style, perceived AI human-likeness, and recommendation agent 人工智能生成的推荐:语言风格的角色、感知到的人工智能人类相似性和推荐代理
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-18 DOI: 10.1016/j.ijhm.2025.104106
Tae Hyun Baek , Hyoje Jay Kim , Jungkeun Kim
This research investigated the impact of linguistic styles on the acceptance of artificial intelligence (AI)-generated recommendations, using three experiments. Specifically, we considered the use of figurative versus literal language in ChatGPT. The findings of Study 1 indicated that figurative language positively affects visit intention, with imagery vividness serving as a mediator in the underlying process. Study 2 revealed that the effect of figurative language on ChatGPT recommendations was stronger for those who perceived the AI as human-like. Conversely, Study 3 showed that while the figurative language used by ChatGPT significantly boosted visit intention compared with literal language, this enhancement was less pronounced when recommendations were made by a human agent.
本研究通过三个实验调查了语言风格对人工智能(AI)生成的推荐的接受程度的影响。具体来说,我们考虑了ChatGPT中比喻语言与字面语言的使用。研究1的结果表明,比喻性语言对访问意向有正向影响,意象生动性在这一过程中起中介作用。研究2显示,对于那些认为人工智能与人类相似的人来说,比喻语言对ChatGPT推荐的影响更大。相反,研究3表明,虽然ChatGPT使用的比喻性语言与字面语言相比显著提高了访问意图,但当由人类代理提出推荐时,这种增强效果不那么明显。
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引用次数: 0
Exploring the relationship between emotional labour and work engagement through a three-phase framework, incorporating mediation and moderation analyses 通过三个阶段的框架,结合中介和调节分析,探索情绪劳动与工作投入之间的关系
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-18 DOI: 10.1016/j.ijhm.2025.104089
Chih-Hsing Liu , Wen-Pei Lin , Yen-Ling Ng
In the ever-evolving landscape of the hotel industry, the spotlight on both owners and employees has intensified due to heightened attention and fierce competition. This pressure turns the sector into a battleground where emotional labour and work engagement play pivotal roles. Consequently, delving into the intricacies of the emotional labour-to-work engagement transition has become a critical concern. This study adopts a meticulous approach, employing three phases of paired data collection. It conducts an integrated analysis, intertwining mediation and moderation techniques to unravel the true essence of the phenomena under scrutiny. The findings shed light on the mediating influence of shared language and value cocreation, elucidating their significant roles in the process. The study validates the multifaceted moderating roles of supervisor support and challenge stressors on the development trajectory of hotel employees' work engagement. The comprehensive insights from this research have both theoretical and practical implications for hotel industry managers.
在不断变化的酒店业中,由于高度关注和激烈的竞争,业主和员工都受到了越来越多的关注。这种压力使该行业变成了一个战场,情绪劳动和工作投入在其中发挥着关键作用。因此,深入研究从情绪劳动到工作投入的复杂转变已成为一个关键问题。本研究采用细致的方法,采用三个阶段的配对数据收集。它进行了一个综合的分析,交织调解和节制技术,以揭示在审查下的现象的真正本质。研究结果揭示了共同语言和价值共同创造的中介作用,阐明了它们在这一过程中的重要作用。本研究验证了主管支持和挑战压力源对酒店员工工作投入发展轨迹的多重调节作用。本研究的综合见解对酒店业管理者具有理论和实践意义。
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引用次数: 0
Generative AI inspiration and hotel recommendation acceptance: Does anxiety over lack of transparency matter? 生成式人工智能的灵感和酒店推荐的接受:对缺乏透明度的焦虑重要吗?
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-18 DOI: 10.1016/j.ijhm.2025.104112
GuoQiong Ivanka Huang , IpKin Anthony Wong , Chen Jason Zhang , Qilin Liang
The advent of generative AI, such as ChatGPT, not only emulates the efficiency of standard AI chatbots in generating content at a faster pace, but it also excels in autonomously producing innovative content for business purposes. However, how Gen AI will inspire people to make decisions in the field of tourism and hospitality remains understudied. Drawing on theories of customer inspiration and fear acquisition, our study analyzed 424 questionnaires and found that the advanced ability of Gen AI to generate creative content can inspire customers and increase their willingness to accept its hotel recommendations. Nevertheless, the process of customer inspiration may face challenges due to anxiety arising from a lack of transparency. Theoretical and practical implications of leveraging Gen AI in the hospitality field are discussed.
ChatGPT等生成式人工智能的出现,不仅模仿了标准人工智能聊天机器人以更快的速度生成内容的效率,而且在为商业目的自主生成创新内容方面也表现出色。然而,新一代人工智能将如何激励人们在旅游和酒店领域做出决定仍有待研究。根据顾客激励和恐惧获取理论,我们的研究分析了424份问卷,发现Gen AI产生创意内容的先进能力可以激励顾客,提高他们接受其酒店推荐的意愿。然而,由于缺乏透明度而产生的焦虑,客户灵感的过程可能会面临挑战。讨论了在酒店领域利用新一代人工智能的理论和实践意义。
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引用次数: 0
How do organizational emotion resources enhance Gen Z person-job fit in hotels? Roles of career adaptability and diversity management
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-18 DOI: 10.1016/j.ijhm.2025.104095
Xiaoman Zhou , Shuo (Sure) Wang , Xinyuan (Roy) Zhao , Karthik Namasivayam
Improving the career adaptability of Gen Z, who now constitute a large proportion of the hospitality industry workforce, has taken on added significance. Following the precepts of the broaden-and-build theory of positive emotion, this study explores the relationships among organizational emotional capability, career adaptability, diversity management, and person-job fit of Gen Z employees. Data were collected from 391 Gen Z employees in China through a survey and a scenario-based experiment, which were utilized to test the hypotheses. The results revealed that organizational emotional capability, as a positive organizational resource, enhances career adaptability and supports Gen Z adaptation to the workplace, leading to higher person-job fit. Moreover, diversity management moderates the relationship between career adaptability and person-job fit. This study enriches the literature on the antecedents of career adaptability and provides valuable insights for hospitality human resource management practices aimed at Gen Z employees.
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引用次数: 0
Unlocking the power of employee advocacy: The role of internal communication and engagement in five-star hotels
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-17 DOI: 10.1016/j.ijhm.2025.104086
Yao Sun , Rupam Konar , Chia Kei Wei
Employee advocacy on social media is an effective way to expand the organic reach of a company’s messaging. Yet the ethical practices driving employees’ intrinsic motivation to advocate in hospitality industry remains understudied. This study aims to fill in the gap by examining the influence of internal communication factors on employee social media advocacy and how employee engagement mediates relationships in China. This study also investigates the moderating effects of gender and age on the association of employee engagement and social media employee advocacy. The findings showed a significant positive effect of transformational leadership and supervisor-subordinate guanxi on employee engagement and social media employee advocacy. Only transformational leadership has an indirect effect on social media employee advocacy through employee engagement. Engaged younger and male employees have stronger intentions to advocate on social media than older and female employees. The findings provide guidelines for improving employees’ voluntariness in social media advocacy, and the managerial interventions for each demographic group.
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引用次数: 0
Unveiling negative memorable experiences of hotel guests: An innovative algorithmic analysis 揭示酒店客人的负面难忘体验:一种创新的算法分析
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-17 DOI: 10.1016/j.ijhm.2025.104087
Khadija Althubiti , Abdulaziz Alhamadani , Mahmood Khan , Md Gaffar Hossain Shah
This research is innovative in exploring the factors contributing to the creation of negative Memorable Hotel Experiences (MHEs). The study analyzes extremely negative experiences that tend to stick in guests’ memories and influence future decisions. The framework selected aims to effectively identify and extract memorable experiences from online customer reviews using a large language model (LLM) to generate previously unexplored experiences. The investigation unveiled three classifications of negative MHEs, encompassing a wide spectrum of hotel guests’ encounters, ranging from those causing only moderate inconvenience to significant disruption, ultimately reaching the extreme distress threshold. The increasing significance of negative memorable experiences and their consequential impact would help managers to identify the root causes of these experiences and implement corrective measures to prevent their recurrence.
本研究在探索造成负面难忘酒店体验(MHEs)的因素方面具有创新性。该研究分析了那些往往会留在客人记忆中并影响未来决定的极其负面的经历。所选择的框架旨在使用大型语言模型(LLM)从在线客户评论中有效识别和提取难忘的体验,以生成以前未探索的体验。调查揭示了负面mhe的三种分类,涵盖了酒店客人所遇到的各种情况,从只造成适度不便到严重干扰,最终达到极端痛苦的阈值。令人难忘的消极经历及其后续影响的重要性日益增加,将有助于管理人员确定这些经历的根本原因,并采取纠正措施防止其再次发生。
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引用次数: 0
Customer evangelists: Elevating hospitality through digital competence, brand image, and corporate social responsibility 客户传道者:通过数字能力、品牌形象和企业社会责任提升酒店服务水平
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-17 DOI: 10.1016/j.ijhm.2025.104085
Mahnaz Mansoor , Justin Paul , Tariq Iqbal Khan , Rawan Abukhait , Dildar Hussain
In the contemporary digital landscape, the frontline employees' proficiency in forging relationships holds immense strategic importance for organizational success. This study examines the impact of frontline employees' digital competence, proactive assistance, and relationship-building on customer brand evangelism with the mediating role of brand image and the moderating role of perceived corporate social responsibility. The research utilizes a time-lagged data collection approach, employing a multistage random sampling method to gather data from patrons visiting both five and four-star hotels. The data collection spans two points in time, separated by a four-week interval. This study employs Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS v. 4 to analyze the proposed relationships, ensuring robust analysis for complex models. Findings suggest that the digital competence, proactive support, and interpersonal skills of frontline staff significantly contribute to the emergence of brand evangelists directly and through the mediation of corporate image. This study highlights the pivotal function of frontline employees within the domain of sales and marketing, particularly in the context of hospitality management, in influencing customer perceptions and cultivating brand evangelism.
在当今的数字环境中,一线员工在建立关系方面的熟练程度对组织的成功具有巨大的战略重要性。本研究考察了一线员工数字化能力、主动协助和关系建设对客户品牌传播的影响,其中品牌形象的中介作用和企业社会责任感知的调节作用。本研究采用时间滞后的数据收集方法,采用多阶段随机抽样的方法,从光顾五星级和四星级酒店的顾客中收集数据。数据收集跨越两个时间点,间隔四周。本研究采用偏最小二乘结构方程建模(PLS-SEM),使用SmartPLS v. 4来分析所提出的关系,确保对复杂模型进行稳健分析。研究结果表明,一线员工的数字能力、主动支持和人际交往能力直接或通过企业形象的中介对品牌传播者的出现有显著的促进作用。这项研究强调了一线员工在销售和市场营销领域的关键作用,特别是在酒店管理的背景下,在影响客户观念和培养品牌传播方面。
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引用次数: 0
Attributes influencing peer-to-peer accommodation performance: Classification and the future pathways 影响点对点住宿表现的属性:分类和未来路径
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-17 DOI: 10.1016/j.ijhm.2025.104093
Feng (Zoey) Huang , Wai Tsz Serene Tse , Zhicai Wu , Dimitrios Buhalis
This study identifies attributes influencing Peer-to-Peer (P2P) accommodation performance before and after COVID-19. It systematically reviewed the literature on factors determining P2P profitability and competitiveness. The review involved 117 papers published before and 126 papers after the COVID-19 pandemic, from 2009 to 2023. Customer satisfaction was among the most studied themes across the pre- and post-pandemic literature. Specifically, 10 pre-pandemic key attributes from a value co-creation perspective, and 14 post-pandemic key attributes falling within a social systems framework were identified. Hosts’ focus on creating positive, hygienic, memorable experiences and guest trust in the platforms has become paramount since COVID-19. This research is the first to aggregate and compare the performance-related attributes from pre- and post-pandemic research. It contributes to theory by providing guidelines for further studies and offers implications to help practitioners analyze business performance, facilitating the sustainable development of this sector.
本研究确定了影响COVID-19前后P2P住宿绩效的属性。它系统地回顾了关于P2P盈利能力和竞争力决定因素的文献。该综述涉及2009年至2023年COVID-19大流行之前发表的117篇论文和之后发表的126篇论文。在大流行前后的文献中,顾客满意度是研究最多的主题之一。具体而言,从价值共同创造的角度确定了大流行前的10个关键属性,以及属于社会系统框架的大流行后的14个关键属性。自2019冠状病毒病以来,房东专注于创造积极、卫生、难忘的体验和客人对平台的信任已成为重中之重。这项研究首次汇总和比较了大流行前后研究中与绩效相关的属性。它通过为进一步研究提供指导方针来促进理论,并为帮助从业者分析业务绩效提供启示,促进该部门的可持续发展。
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引用次数: 0
Does consumers’ reveal engagement behaviours in artificial intelligence (AI)-based technologies? The dynamics of perceived value and self-congruence 消费者是否在基于人工智能(AI)的技术中揭示了参与行为?感知价值和自我一致性的动态
IF 9.9 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Pub Date : 2025-01-17 DOI: 10.1016/j.ijhm.2024.103989
Raouf Ahmad Rather
Although tourism service-environments have increasingly used artificial intelligence (AI), limited research has explored the dynamics of AI-related factors on consumer engagement and behaviours in AI-based hotel service environment. Responding this gap, following Stimulus-Organism-Response (SOR)-perspective, this research analyzes the effects of consumers’ AI-perceived performance-expectancy, effort-expectancy, perceived-trust and anthropomorphism on perceived-value, consumer-engagement-behaviours (CEBs) and adoption intention in hotel context. Using online-survey, data has been collected from Indian hotel-consumers, who had previously adopted AI-technologies/services, examined through partial least squares-structural equation modeling. First, results exposed significant impact of AI-perceived performance expectancy, effort-expectancy, trust and anthropomorphism on perceived value. Second, results uncovered that perceived value’s positive influence on CEBs and adoption intention. Third, perceived value mediated the relationship among proposed factors. Finally, findings showed a positive moderating interaction-effect of self-congruence between perceived-value and CEBs/adoption intention. This research offers key theoretical and managerial contributions to AI-related factors, AI-technologies/services, perceived value and CEBs in hospitality industry.
尽管旅游服务环境越来越多地使用人工智能(AI),但在基于人工智能的酒店服务环境中,人工智能相关因素对消费者参与和行为的动态影响研究有限。为了弥补这一差距,本研究遵循刺激-有机体-反应(SOR)的观点,分析了消费者的人工智能感知绩效期望、努力期望、感知信任和拟人化对酒店环境下感知价值、消费者参与行为(ceb)和采用意愿的影响。通过在线调查,从以前采用人工智能技术/服务的印度酒店消费者那里收集数据,并通过偏最小二乘结构方程模型进行检验。首先,结果揭示了人工智能感知绩效期望、努力期望、信任和拟人化对感知价值的显著影响。第二,研究结果发现,感知价值对ceo行为和采纳意愿有正向影响。第三,感知价值在被提议因素之间的关系中起中介作用。最后,研究发现自我一致性在认知价值与ceb /采纳意向之间具有正向调节作用。本研究为酒店业的人工智能相关因素、人工智能技术/服务、感知价值和ceb提供了关键的理论和管理贡献。
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引用次数: 0
期刊
International Journal of Hospitality Management
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