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1.
This research investigates how consumers assess hotels’ corporate social responsibility (CSR) practices when writing online reviews. The study explores the CSR discourse in online reviews over a 10-year period, highlighting how CSR’s social and environmental dimensions relate to the main hospitality topics (experience, amenities, location, transactions, value). Based on a longitudinal automated text analysis covering 480,000 reviews across six European cities, the findings reveal that hotel customers have gradually begun paying more attention to CSR factors, particularly to social and environmental ones. However, the aggregate results suggest that the overall CSR consumer discourse is still very limited, although it does have important implications in terms of consumer emotions and hospitality dimensions. 相似文献
2.
Investigating both the valence of online reviews and convention centers’ performance is an effective approach towards understanding convention center visitors’ needs, wants, and expectations. Understanding convention center experiences from the customer perspective can improve venue services and event products for both convention centers and event organizers in a business-to-business context. This study examined TripAdvisor online reviews using a combined automated and non-automated content analysis to explore the dynamic experiences of convention centers. The dual analysis of qualitative and quantitative characteristics resulted in the identification of key concepts, satisfaction/dissatisfaction factors, center-and event-related complaint issues, and tips/suggestions. 相似文献
3.
The amount of texts available on the web is growing continuously and making sense of this unstructured data efficiently and effectively, therefore, poses a demanding challenge for organizations. Although computer science community has developed many techniques, there is ample room for improvement on organizational utilization of such text data, especially when referring to decision-making support. In this article, we propose and validate a framework towards an effective use of text data inside hotel industry, bringing tourism sector to this discussion. We combined three text mining techniques for text classification, sentiment analysis and topic modeling in a novelty way to allows managers to analyze guests’ comments and compares competitors in hospitality industry based on SERVQUAL. Our objective is to present an automatized process involving text data collection and analysis, improving decision-making process. 相似文献
4.
This study illustrates that determinants of customer satisfaction in hospitality venues can be identified through an analysis of online reviews. Using text mining and content analysis of 42,668 online traveler reviews covering 774 star-rated hotels, the study found that transportation convenience, food and beverage management, convenience to tourist destinations and value for money are identified as excellent factors that customers booking both luxury and budget hotels consider important and for which the performance is much satisfactory to them. Customers paid more attention to, but were less satisfied with, bed, reception services and room size and decoration. Most determinants of customer satisfaction also showed a consensus over luxury versus budget hotels, except for factors referring to lobby and sound insulation. As per its findings, the article concludes by presenting theoretical and managerial implications. 相似文献
5.
Karolina Brazytė Dorothea Schaffner 《Journal of Quality Assurance in Hospitality & Tourism》2017,18(3):282-307
The purpose of this study was to investigate how guests respond to the sustainability efforts of sustainably managed hotels by discussing them in reviews posted online. Thus, an exploratory research design and the content analysis method were chosen for this study. The content analysis technique was used to analyze User Generated Content and to explore what attributes of sustainability are perceived as the most important by hotel guests in online reviews and whether they generate positive or negative feelings. An analysis of the reviews showed that hotel guests perceive sustainability positively: most indicators were discussed in a positive context, and reviews that contained sustainability attributes had higher guest ratings than other reviews. Explicit references to sustainability were found in only 6.8% of all customer comments. The most frequently encountered indicators in guest reviews were biodiversity, education and sustainable products. Customers mainly discuss attributes that have direct impacts on their experience or are observable at the hotel. Customers are likely to realize that a hotel’s commitment to sustainability can excuse the hotel for a suffered inconvenience. This finding implies that hoteliers should educate guests on their sustainability measures, as higher awareness may increase customer satisfaction. 相似文献
6.
The objective of this study was to identify the critical factors about which future visitors to attractions want information, based on online reviews. An NVivo-based content analysis was conducted using 4831 traveler reviews posted on Tripadvisor.com. In total, seven critical factors were identified: environment (e.g. hygiene and cleanliness); experience (e.g. being in good order, overcrowding); location and/or transportation (e.g. subways); price, purpose (e.g. taking photos); target group and suitability (e.g. with/without children); and time. The findings provide guidance for attraction managers on how to make an effective and efficient response to negative reviews on social media channels and how to identify and meet future customer needs. This study supports the attraction industry to improve service quality and attract more visitors in future. 相似文献
7.
Although online hotel reviews (OHR) help consumers in better decision–making, and service providers in better service design and delivery, they are hard to manage due to their high volume, velocity, and veracity. This paper focuses on the drivers of helpfulness of textual OHR, for which we have used text-mining techniques to find the sentiment content, polarity, and emotions; we have also used econometric and machine learning techniques to explain and predict its helpfulness. We found that content and title polarity lead to OHRs being less helpful, whereby this negative relationship gets accentuated with higher sentiment content. On the other hand, while negative emotion with low arousal makes OHR helpful, high arousal makes it less helpful. It has also been noted that after controlling for polarity, sentiment, and emotions, longer reviews are less helpful. Higher quantitative rating, recency of OHR and a reviewer’s past expertise make a review more helpful. Additionally, machine-learning techniques have been found to predict ‘review’ helpfulness marginally better than econometric techniques. This study contributes to OHR literature in terms of its performance, and would also help decision makers in OHR management strategy. 相似文献
8.
Consumer-generated content has provided an important new information medium for tourists, throughout the purchasing lifecycle, transforming the way that visitors evaluate, select and share experiences about tourism. Research in this area has largely focused on quantitative ratings provided on websites. However, advanced techniques for linguistic analysis provide the opportunity to extract meaning from the valuable comments provided by visitors. In this paper, we identify the key dimensions of customer service voiced by hotel visitors use a data mining approach, latent dirichlet analysis (LDA). The big data set includes 266,544 online reviews for 25,670 hotels located in 16 countries. LDA uncovers 19 controllable dimensions that are key for hotels to manage their interactions with visitors. We also find differences according to demographic segments. Perceptual mapping further identifies the most important dimensions according to the star-rating of hotels. We conclude with the implications of our study for future research and practice. 相似文献
9.
当前,酒店受收益最大化的驱使,透过电商平台更加频繁地对价格进行动态调整,而借助互联网,顾客获取价格信息的渠道也越来越多,对价格歧视的感知更明显,动态定价策略势必会对顾客情绪和购后行为产生影响。因此,以携程旅行网3256条酒店在线评论为分析文本,运用内容分析法中的词频分析、情绪分析以及社会语义网络分析进行研究。词频分析结果显示高频词集中于动态定价类、情绪类以及顾客行为类;情绪分析结果显示顾客情绪中消极情绪占据主导地位,其次是积极情绪,最后是中性情绪;结合编码方法总结出顾客购后行为有:自我保护、报复、顾客忠诚、利他四类;社会语义网络分析中顾客对动态定价总体表现出“核心层—次核心层—边缘层”的层级结构。最后根据研究结论,文章提出了相应的管理建议。 相似文献
10.
Edwin N. Torres Dipendra Singh 《International Journal of Hospitality & Tourism Administration》2013,14(4):472-489
ABSTRACTScholars and practitioners recognize that spreading word-of-mouth can play an important role in the formation of a hotel’s image. However, the relationships among various measures of online customer engagement are relatively unknown. The present study analyzes the relationships and quantifies the impacts of various measures of online engagement including the number of online reviews, overall rating, and relative ranking. The researchers used path analysis on a sample of 178 hotels to study the relationships among relevant variables and build a model to explain the impact of such measures (Figure 2). The results reveal there is a positive direct effect of the number of reviews on a hotel’s TripAdvisor rating. A negative direct effect was found between TripAdvisor rating and a hotel’s comparative ranking. Finally, the researchers discovered that TripAdvisor rating fully mediates the relationship between the number of reviews and a hotel’s comparative ranking. This article concludes with a discussion of both the theoretical and practical implications of such findings. 相似文献
11.
Selena Aureli Enrico Supino 《International Journal of Hospitality & Tourism Administration》2017,18(1):84-109
This study aims to understand current Italian hotel managers’ practices in monitoring online reviews included on travel websites and online travel agencies. Results obtained by a web survey indicate what hotel managers monitor (rating, rankings, guest comments regarding different service elements) and managers’ orientation in replying to customer reviews. Findings may support online reputation management tools providers and consulting firms by highlighting the degree of hoteliers’ interest in UGC monitoring and providing insights on possible factors that differentiate current management practices and should be considered in order to offer technical solutions coherent with the distinctiveness of Italian context. 相似文献
12.
网络Web 2.0时代,游客在预订酒店时常常通过查询先前住客点评内容来了解酒店情况。住客生成的网络点评内容是影响口碑效果的重要因素,但点评内容正负性和详略性的作用现有研究还存在一些争议。以调节焦点理论为基础研究酒店预订中住客点评的说服效果,通过2×2×2实验研究发现,负向酒店点评对预防焦点个体的说服效果更优,正向酒店点评对促进焦点个体的说服效果更优,详尽的酒店点评内容对预防焦点个体的说服效果更大,简略的酒店点评内容对促进焦点型个体的说服效果更大。 相似文献
13.
随着移动互联网的飞速发展和普及,越来越多的在线平台为了更好的满足消费者需求,为消费者提供了对产品进行自由、匿名的评价模式。基于此,各大线上平台已拥有大量的产品评价信息,对此类信息数据的研究和分析能够为企业的运营和管理服务带来新的价值。文章以tripadvisor.cn第三方平台中杭州高星级酒店的点评信息为研究数据基础,采用贝叶斯网络构建各维度和对应因素之间的相互关系,确定顾客满意度影响因素,并建立相应的杭州高星级酒店顾客满意度评价体系。研究表明,基于在线评论文本构建的顾客满意度评价体系较传统的方式更为精准、科学,更有利于酒店对顾客满意度做出准确的评价。 相似文献
14.
ABSTRACTThis study aims to explore the typology of hotel crime and how it is related to guests’ fear of crime based on a cause-and-consequence model. A total of 873 TripAdvisor reviews were content-analyzed to develop a typology of hotel crime. High-class hotels experienced more theft, fraud, and burglary while low-class hotels encountered more prostitution and drug-related activities. Hotel guests generated a higher fear of crime when crime occurred inside guest rooms, especially in cases of burglary, theft, or fraud. Reviews mentioning crimes were perceived to be more helpful. Managerial implications and best practices of crime prevention are provided for hotel practitioners. 相似文献
15.
Different from traditional hotels, hosts' affinity is an essential feature of homestays. This study uncovers how Airbnb hosts demonstrate their affinity online through the data from 114,310 listings, and examines the relationship between hosts' affinity and the number of reviews, as well as the moderating role of hosts' affinity in the associations among sub-ratings, host listings count, and the number of reviews. The findings indicate a positive link between hosts' affinity and the number of reviews. Guests tend to assign higher overall scores to homestays with poor performance but high affinity, and may alter their homestay attribute requirements in future reservation decisions. Hosts' affinity from guest reviews has greater direct and moderating effects on the number of reviews than hosts' self-statements. Interestingly, hosts' affinity from guest reviews can reduce the guests' requirements for homestay attributes of multiple listings. Meanwhile, hosts’ affinity displayed by host self-statements exhibits the opposite moderating effects. 相似文献
16.
The diverse characteristics of customers and hotels have been identified as relevant to online customer satisfaction at the individual level. In this study, a comprehensive examination is conducted, through the use of a multilevel, nested model and secondary data set. The results show that both online review experience and management response frequencies can positively affect customer satisfaction. Additionally, hotel managers need to pay more attention to customers who have less online review experience when they carry out targeted response strategies. The findings have various implications for both academic researchers and hotel operators. 相似文献
17.
The hospitality industry is highly vulnerable to pandemics. However, little is known about how pandemics alter travelers' evaluations of hospitality services. Therefore, this study investigates the changes in travelers' expectations and perceptions of hotel services during different stages of the novel coronavirus 2019 (COVID-19) pandemic. 98,163 Chinese hotel reviews were collected and scrutinized via text mining and sentiment analysis techniques to derive new implications for service optimization. The results reveal shifts in consumers’ evaluations well beyond hygienic requirements. Insights obtained from this research can help guide hospitality practice in organizing its priorities during acute pandemic situations and adjusting to possibly longer-lasting shifts in consumer preferences. 相似文献
18.
网络点评是影响民宿顾客住宿意愿的重要因素。本研究以信任理论为基础,从顾客需求视角探讨民宿顾客对网络平台的信任和对民宿主人的信任在网络点评和民宿顾客住宿意愿之间的作用。研究发现:(1)网络点评对民宿顾客住宿意愿的直接影响效应显著;(2)顾客信任的二维度(对网络平台的信任和对民宿主人的信任)在网络点评和民宿顾客住宿意愿之间起串联中介作用,但是顾客信任的两个维度不能单独在网络点评和民宿顾客住宿意愿之间起中介作用。本研究揭示了网络点评对民宿顾客住宿意愿的作用路径,为民宿营销提供了新视角。 相似文献
19.
Avner Arbel 《International Journal of Hospitality Management》1983,2(2):83-87
Energy cost impact on demand for the restaurant services is examined using a broad base multi-variable regression model with special attention given to the lag structure and timing of the effects. The results reveal no negative impact of higher energy costs on demand. On the contrary, a slight positive delayed impact is evident over the short-run suggesting that, on margin, eating out may have been used as a compensatory recreational activity as a temporary substitute to other, more energy intensive, recreational activities. 相似文献
20.
Jaemin Cha Carl P. Borchgrevink 《International Journal of Hospitality & Tourism Administration》2013,14(1):19-37
This study focused on identifying the most relevant dimensions of service climate in restaurant settings. A series of confirmatory factor analysis were performed to check the construct validity of the service climate using data collected in a field survey of 452 frontline employees working in 31 different foodservice establishments. Four dimensions of service climate were identified: service vision, service training, supervisor support, and reward and recognition. The validated 22-item scale of service climate can be used as a potential tool for evaluating the service climate in foodservice establishments. 相似文献