International Journal of Hospitality Management最新文献_第8页

AI disruption threat and employee outcomes: Role of technology insecurity, thriving at work, and trait self-esteem 人工智能破坏威胁与员工成果：技术不安全感、工作欣欣向荣和特质自尊的作用

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-12 DOI: 10.1016/j.ijhm.2024.104064

Aliana Man Wai Leong , Jing Yi Bai , Muhammad Imran Rasheed , Zahid Hameed , Fevzi Okumus

{"title":"AI disruption threat and employee outcomes: Role of technology insecurity, thriving at work, and trait self-esteem","authors":"Aliana Man Wai Leong , Jing Yi Bai , Muhammad Imran Rasheed , Zahid Hameed , Fevzi Okumus","doi":"10.1016/j.ijhm.2024.104064","DOIUrl":"10.1016/j.ijhm.2024.104064","url":null,"abstract":"<div><div>Although artificial intelligence (AI) has shown a crucial role in the digital transformation of hospitality businesses, our understanding of AI influence on employee performance outcomes has yet to be developed. We draw on self-determination theory (SDT) and aim to investigate when and how AI disruption threat influences employees’ service performance and innovative work behavior. Across a two-wave paper-pencil survey among 500 employees of an integrated resort in Macao, results reveal that AI disruption threat among hospitality workers is positively associated with technology insecurity but is negatively associated with thriving at work, which, in turn, has countervailing effects on service performance and innovative work behavior. In addition, trait self-esteem moderates these relationships, such that the negative indirect effects are attenuated when employees have high-level trait self-esteem. This study expands our understanding of the effects of AI adoption at work and offers practical insights into AI usage in hospitality and tourism businesses.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104064"},"PeriodicalIF":9.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Sustainability accounting and disclosures of responsible restaurant practices in environmental, social and governance (ESG) reports 可持续性会计和在环境、社会和治理（ESG）报告中披露负责任的餐厅做法

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-12 DOI: 10.1016/j.ijhm.2024.104051

Mark Anthony Camilleri

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The evolution of artificial empathy in the hospitality metaverse era 人工移情在酒店业虚拟时代的演变

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-12 DOI: 10.1016/j.ijhm.2024.104063

Ioannis Assiouras , Cornelia Laserer , Dimitrios Buhalis

{"title":"The evolution of artificial empathy in the hospitality metaverse era","authors":"Ioannis Assiouras , Cornelia Laserer , Dimitrios Buhalis","doi":"10.1016/j.ijhm.2024.104063","DOIUrl":"10.1016/j.ijhm.2024.104063","url":null,"abstract":"<div><div>As hospitality enters the metaverse era, artificial empathy becomes essential for developing of artificial intelligence (AI) agents. Using the empathy cycle model, computational empathy frameworks and interdisciplinary research, this conceptual paper proposes a model explaining how artificial empathy will evolve in the hospitality metaverse era. The paper also addresses customer empathy and responses towards AI agents and other human actors with in the hospitality context. It explores how metaverse characteristics such as immersiveness, sociability, experiential nature, interoperability, blended virtual and physical environments as well as environmental fidelity will shape computational models and evolution of artificial empathy. Findings suggests that metaverse enables AI agents to form a seamless cycle of detection, resonation, and response to consumers’ affective states, facilitating the evolution of artificial empathy. Additionally, the paper outlines conditions under which the artificial empathy cycle may be disrupted and proposes future research questions that can advance our understanding of artificial empathy.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104063"},"PeriodicalIF":9.9,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Conceptualization of dynamic digital coopetition: Evidence from hospitality platforms 动态数字合作的概念化：来自酒店平台的证据

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-09 DOI: 10.1016/j.ijhm.2024.104036

Yuanzhi Nan , Martin J. Liu , Jun Luo , Dandan Ye

{"title":"Conceptualization of dynamic digital coopetition: Evidence from hospitality platforms","authors":"Yuanzhi Nan , Martin J. Liu , Jun Luo , Dandan Ye","doi":"10.1016/j.ijhm.2024.104036","DOIUrl":"10.1016/j.ijhm.2024.104036","url":null,"abstract":"<div><div>In the digital platform landscape, hotels, as complementors, unavoidably participate in dynamic coopetition. Prior work on dynamic coopetition has primarily focused on the role of platform owners, who command considerable power in orchestrating coopetitive dynamics. However, the way in which power-disadvantaged complementors engage in such coopetition has been neglected. Through a qualitative multiple-case study of a hospitality platform, we find that hotels can engage in dynamic coopetition under asymmetric relationships with digital platforms to survive, supported by digital innovation. We conceptualize the “dynamic digital coopetition”, and elucidate three mechanisms underlying this: phygital expanding, loose-coupled bridging, and instant shifting. These mechanisms cover spatial, relational, and temporal levels. This conceptualization represents our primary contribution, as we unveil how complementors as power-disadvantaged actors step into dynamic coopetition in digital platforms to survive. We offer practical guidance to complementors from traditional sectors to embrace digital platforms.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104036"},"PeriodicalIF":9.9,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The role of intelligence, trust and interpersonal job characteristics in employees’ AI usage acceptance

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-06 DOI: 10.1016/j.ijhm.2024.104032

Cheng-Chieh Allan Lu, Chu-Chen Rosa Yeh, Chih-Chien Steven Lai

{"title":"The role of intelligence, trust and interpersonal job characteristics in employees’ AI usage acceptance","authors":"Cheng-Chieh Allan Lu, Chu-Chen Rosa Yeh, Chih-Chien Steven Lai","doi":"10.1016/j.ijhm.2024.104032","DOIUrl":"10.1016/j.ijhm.2024.104032","url":null,"abstract":"<div><div>To address a research gap on employees as AI users, this study proposed and tested a moderated mediation model investigating several key drivers of employees’ acceptance level of using AI for work. Specifically, this model investigated the direct effect of employees’ perceived intelligence of AI on their acceptance level of using AI for work, as well as the mediating effect of trust between these two factors, with two interpersonal job characteristics (i.e., dealing with others and friendship opportunity) serving as moderators on the relationship between trust and employees’ acceptance level of using AI for work. Employees from businesses which have integrated or about to integrate AI technology into the business operation in Taiwan were the target sample. A total of 398 responses were collected through an online self-administrated questionnaire. Analysis using SPSS PROCESS confirmed the mediating effect of trust, however, the two interpersonal job characteristics, although significant, strengthened instead of weakened the moderated relationships as hypothesized. This study made an important theoretical contribution establishing trust as a key link between perceived intelligence of AI and employees’ acceptance of using AI for work. Suggestions as to why interpersonal job characteristics enhance employees’ trust and thereby usage of AI were also discussed.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104032"},"PeriodicalIF":9.9,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143101566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Corporate culture and financial stability: A study of US hotel firms 企业文化与财务稳定：对美国酒店企业的研究

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-06 DOI: 10.1016/j.ijhm.2024.104041

Nghia Trong Phung, Lan Thi Mai Nguyen

引用次数: 0

Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers 酒店业中的人工智能：从交易压力角度看酒店业员工的心理健康

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-05 DOI: 10.1016/j.ijhm.2024.104029

Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait

{"title":"Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers","authors":"Jiaqi Yan , Qijie Xiao , Stephen X. Zhang , Priyanko Guchait","doi":"10.1016/j.ijhm.2024.104029","DOIUrl":"10.1016/j.ijhm.2024.104029","url":null,"abstract":"<div><div>The rapid technological development of Artificial Intelligence (AI) in the hospitality industry significantly influences the mental health of hospitality workers. Based on the transactional theory of stress and coping (TTSC), we examined how AI awareness among hospitality workers may influence their mental health symptoms (e.g. depression and anxiety as measured by the PHQ-4). We collected data from 258 hotel workers by using a time-lagged design with a one-month interval. Results showed that AI awareness contributed to depression and anxiety through role conflict. Furthermore, the AI-enabled human resource (HR) analytics and HR management (HRM) system strength moderated the relationship between AI awareness and role conflict. The moderating effect of AI-enabled HR analytics is facilitated by HRM system strength. Our model, which elucidates the complex mechanisms involved in how AI shapes workers’ mental health, carries important implications for understanding how hospitality organizations can effectively manage technological transformation while supporting workers’ mental health.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104029"},"PeriodicalIF":9.9,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Human-robot collaboration in service recovery: Examining apology styles, comfort emotions, and customer retention 服务恢复中的人机协作：道歉风格、安慰情绪和客户保留的检验

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-05 DOI: 10.1016/j.ijhm.2024.104028

Hong Ngoc Nguyen , Ngoc Tran Nguyen , Murat Hancer

{"title":"Human-robot collaboration in service recovery: Examining apology styles, comfort emotions, and customer retention","authors":"Hong Ngoc Nguyen , Ngoc Tran Nguyen , Murat Hancer","doi":"10.1016/j.ijhm.2024.104028","DOIUrl":"10.1016/j.ijhm.2024.104028","url":null,"abstract":"<div><div>This research employs a serial mediation model to explore how different levels of human-robot collaboration, apology styles, and emotional responses affect customer intentions after a service failure, based on a scenario-based experiment with 311 participants, analyzed using MANCOVA and PROCESS Macro Model 6. Our findings reveal that human-robot collaboration configurations where robots play a significant role, either augmenting or replacing humans, are more effective. Economic apologies are more impactful when the robot leads the recovery, while social apologies work best when human staff are involved. Comfort emotions and robot continuance usage sequentially mediate the relationship between human-robot collaboration and behavioral intentions. This is the first paper to integrate frontline technology with traditional recovery methods, highlighting the effectiveness of human-robot collaboration in enhancing customer retention. Practically, this research provides essential guidance for robot and AI designs in services, enabling service managers to effectively manage human-robot task allocation and customer loyalty in a robot-mediated service recovery.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104028"},"PeriodicalIF":9.9,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Combating implicit racial bias against hosts in peer-to-peer marketplaces: Insights from availability bias and self-disclosure theory 打击点对点市场中针对房东的隐性种族偏见：来自可用性偏见和自我披露理论的见解

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-04 DOI: 10.1016/j.ijhm.2024.104038

Soona Park , Jiyun Kang

引用次数: 0

Unpacking the impact of AI vs. human-generated review summary on hotel booking intentions 分析人工智能与人工生成的评论摘要对酒店预订意向的影响

IF 9.9 1区管理学

International Journal of Hospitality Management Pub Date : 2024-12-04 DOI: 10.1016/j.ijhm.2024.104030

Shizhen (Jasper) Jia , Oscar Hengxuan Chi , Christina G. Chi

{"title":"Unpacking the impact of AI vs. human-generated review summary on hotel booking intentions","authors":"Shizhen (Jasper) Jia , Oscar Hengxuan Chi , Christina G. Chi","doi":"10.1016/j.ijhm.2024.104030","DOIUrl":"10.1016/j.ijhm.2024.104030","url":null,"abstract":"<div><div>This study investigates the impacts of the source of hotel review summary (AI-generated vs. human-generated) on customers' trust, information processing, and booking intentions through three scenario-based experiments involving 764 participants. Study 1 reveals that human-generated (vs. AI-generated) summaries lead to a higher level of trust, which boosts booking intentions. Study 2 finds that with negative reviews, there's no significant difference in booking intentions between AI and human-generated summaries, suggesting trust isn't the sole mediator. Study 3 proposes that information processing effort is a potential mediator. The findings confirm that when review valence is negative, customers invest more cognitive effort when reading AI-generated compared to human-generated summaries. The results challenge the assumption that human-generated reviews are inherently more persuasive. This research addresses critical gaps in understanding AI-generated content's impact on customer behavior in the hospitality industry, offering both theoretical contributions and practical insights for integrating AI technologies in customer communication strategies.</div></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":"126 ","pages":"Article 104030"},"PeriodicalIF":9.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0