International Journal of Hospitality Management最新文献_第10页

The effects of recovery experiences on hotel employees’ subjective well-being, organizational citizenship behavior, and task performance 恢复体验对酒店员工主观幸福感、组织公民行为和任务绩效的影响

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-06-03 DOI: 10.1016/j.ijhm.2024.103798

Lanlan Huang , Henry Tsai

引用次数: 0

From click to fork: An empirical analysis of system and food quality influences in online meal kit consumption 从点击到分叉：在线餐包消费中系统和食品质量影响因素的实证分析

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-30 DOI: 10.1016/j.ijhm.2024.103808

Hyeyoon Choi , Woojin Lee , Hwansuk Chris Choi , Alireza Zolfaghari

{"title":"From click to fork: An empirical analysis of system and food quality influences in online meal kit consumption","authors":"Hyeyoon Choi , Woojin Lee , Hwansuk Chris Choi , Alireza Zolfaghari","doi":"10.1016/j.ijhm.2024.103808","DOIUrl":"10.1016/j.ijhm.2024.103808","url":null,"abstract":"<div><p>This research explores the determinants and implications of brand attachment in the fast-growing online meal-kit industry. The objectives were to explore the components constituting the system and food quality, establish their impact on brand attachment, and examine the subsequent impact on consumer behavioral intentions. Utilizing big data analytics, the study analyzed real-time app content sourced from consumer reviews using a text mining technique and employed structural model analysis to validate a proposed model with five emerging factors from the consumer review data. The findings suggest that system quality parameters—perceived ease of use and perceived usefulness—significantly influenced food quality. Enhanced food quality cultivated brand love yet reduced brand hate. Notably, brand love and hate exhibited opposing correlations with negative electronic word-of-mouth and continuous usage intention. The outcomes secure crucial insights for ongoing engagement with online meal-kit services, significantly contributing to academic research and industry practice.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":11.7,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141187710","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

Investigating guest reactions to plate waste reduction strategies: A field experiment in a casual-dining restaurant 调查客人对减少餐盘垃圾策略的反应：一家休闲餐厅的实地实验

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-30 DOI: 10.1016/j.ijhm.2024.103805

Piyanart Junkrachang, Kenneth Butcher, Chachaya Yodsuwan

引用次数: 0

Generalist vs. specialist CEOs: Towards an understanding of CSR scheme in the restaurant industry 通才 CEO 与专才 CEO：了解餐饮业的企业社会责任计划

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-29 DOI: 10.1016/j.ijhm.2024.103797

Sungbeen Park , Bora Kim , Sujin Song

引用次数: 0

Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making 酒店和旅游业中的深度学习机制和大数据：为客户决策开发个性化餐厅推荐模型

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-28 DOI: 10.1016/j.ijhm.2024.103803

Sigeon Yang , Qinglong Li , Dongsoo Jang , Jaekyeong Kim

{"title":"Deep learning mechanism and big data in hospitality and tourism: Developing personalized restaurant recommendation model to customer decision-making","authors":"Sigeon Yang , Qinglong Li , Dongsoo Jang , Jaekyeong Kim","doi":"10.1016/j.ijhm.2024.103803","DOIUrl":"https://doi.org/10.1016/j.ijhm.2024.103803","url":null,"abstract":"<div><p>With the increasing ubiquity of booking restaurants through online platforms, the need for restaurant recommender systems that satisfy individual preferences has grown. Previous studies have found it challenging to reflect preferences in multiple aspects because customers' restaurant experiences were approached from a single aspect. This study proposes a novel personalized recommender system that uses the aspect-based sentiment analysis (ABSA) technique to derive granular customer preferences and recommend restaurants accordingly. The proposed model’s performance was empirically validated using customer review data from the global review platform Yelp. Initially, the ABSA technique was used to elaborately analyze sentiment scores for five major aspects of restaurants. Subsequently, aspect-specific sentiment scores were applied to a deep learning prediction model to learn the latent interactions between customers and restaurants. The proposed restaurant recommendation model demonstrated superior prediction compared to the five previous proposed recommendation model, especially yielding improved performance instead of models reflecting overall sentiment scores. Additionally, the impact of various aspect sentiments for the restaurant recommender system was empirically validated, and the results were presented from multiple perspectives based on the model configuration and parameters.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":11.7,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141163639","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

Workplace fun and employees’ service innovative behavior: The role of task crafting and manager support for fun 工作场所的乐趣与员工的服务创新行为：任务设计和管理者对趣味性的支持所起的作用

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-28 DOI: 10.1016/j.ijhm.2024.103799

Jie Yang , Fanfan Liu , Yong Huang , Haiyan Miao , Feng Tian

引用次数: 0

Decoding the future: Proposing an interpretable machine learning model for hotel occupancy forecasting using principal component analysis 解码未来：利用主成分分析为酒店入住率预测提出可解释的机器学习模型

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-27 DOI: 10.1016/j.ijhm.2024.103802

Daniele Contessi , Luciano Viverit , Luís Nobre Pereira , Cindy Yoonjoung Heo

{"title":"Decoding the future: Proposing an interpretable machine learning model for hotel occupancy forecasting using principal component analysis","authors":"Daniele Contessi , Luciano Viverit , Luís Nobre Pereira , Cindy Yoonjoung Heo","doi":"10.1016/j.ijhm.2024.103802","DOIUrl":"https://doi.org/10.1016/j.ijhm.2024.103802","url":null,"abstract":"<div><p>Accurate hotel occupancy forecasting is vital for optimizing hotel revenue, yet interpretable machine learning tools lack extensive research. This paper presents a two-step approach utilizing historical and advanced booking data. Principal Components Analysis (PCA) groups similar patterns in booking curves, followed by a pickup forecasting model to predict occupancy. Evaluating the approach using real booking data from three European hotels (2018–2022), it outperformed two benchmarks: classical additive pickup and clustering-based pickup methods. Empirical results demonstrate the superiority of PCA-based methods across all hotels and forecasting horizons. Additionally, incorporating Average Daily Rates into PCA enhances daily hotel demand forecasts, offering potential for enhanced predictions with business operational information in a low-dimensional space.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":11.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0278431924001142/pdfft?md5=2df30447315a85001f918c9f30dfe9be&pid=1-s2.0-S0278431924001142-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141163638","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

Autonomous delivery robots on the rise: How can I cut carbon footprint for restaurant food deliveries? 自动送餐机器人正在崛起：如何减少餐厅送餐的碳足迹？

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-25 DOI: 10.1016/j.ijhm.2024.103804

Jiyoon (Jennifer) Han , Soobin Seo , Hyun Jeong Kim

{"title":"Autonomous delivery robots on the rise: How can I cut carbon footprint for restaurant food deliveries?","authors":"Jiyoon (Jennifer) Han , Soobin Seo , Hyun Jeong Kim","doi":"10.1016/j.ijhm.2024.103804","DOIUrl":"https://doi.org/10.1016/j.ijhm.2024.103804","url":null,"abstract":"<div><p>This study examines customers’ intentions to select an autonomous delivery robot (ADR) for off-premise restaurant delivery services, in response to the growing concerns about carbon emissions. Drawing upon Valence-Instrumentality-Expectancy theory, this study demonstrates how knowledge of transport emissions, awareness of carbon emissions, the perceived environmental performance of ADRs, and ADR usage intentions are interrelated. This study also explores differences between two groups: ADRs as high risk versus low risk. Using PLS-SEM and PLS-multigroup analysis with data from 418 participants, the study results show that more knowledge of transport emissions and higher awareness of carbon emissions are associated with more positive perceptions of ADRs' environmental performance and greater intentions to use ADRs. This study highlights the importance of ADRs’ reliability, which should be prioritized alongside environmental concerns. This study has theoretical contributions and practical implications, including policymaking, for stakeholders in the food delivery business.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":11.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141095559","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

Investigating the effects of digital platform participation on B&B performance: An organizational learning perspective 调查数字平台参与对民宿绩效的影响：组织学习视角

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-25 DOI: 10.1016/j.ijhm.2024.103806

Jiaying Lyu , Huan Huang , Zhenxing Mao , Xili Zhang , Huamin Li

{"title":"Investigating the effects of digital platform participation on B&B performance: An organizational learning perspective","authors":"Jiaying Lyu , Huan Huang , Zhenxing Mao , Xili Zhang , Huamin Li","doi":"10.1016/j.ijhm.2024.103806","DOIUrl":"https://doi.org/10.1016/j.ijhm.2024.103806","url":null,"abstract":"<div><p>Previous research has yet to fully explore the mechanisms through which digital platforms shape the performance of tourism small and medium enterpirses (SMEs). This study, guided by the organizational learning theory, hypothesizes that engagement with digital platforms impacts tourism SMEs' business outcomes primarily through the enhancement of capabilities, specifically marketing and innovation. This study conducted an online survey involving 316 Bed and Breakfast (B&B) owners and supplemented it with semi-structured interviews of 21 owners. The findings reveal that both the intensity of participation (measured by the allocation of human resources to digital platform management) and the diversity of participation (indicated by the number of platforms used) positively correlate with business performance, specifically, revenue per available room. This effect is mediated by marketing capability. Additionally, our results emphasize the valuable role of social media platforms in elevating B&Bs' competitiveness. We provide both theoretical perspectives and practical suggestions based on our findings.</p></div>","PeriodicalId":48444,"journal":{"name":"International Journal of Hospitality Management","volume":null,"pages":null},"PeriodicalIF":11.7,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141097835","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

Satisfaction with mobile food delivery app (MFDA) usage and the moderating role of perceived COVID 19 risk 对使用移动食品配送应用程序（MFDA）的满意度以及感知到的 COVID 19 风险的调节作用

IF 11.7 1区管理学

International Journal of Hospitality Management Pub Date : 2024-05-24 DOI: 10.1016/j.ijhm.2024.103807

M. Humbani , E. Higueras-Castillo , F. Liébana-Cabanillas

引用次数: 0