Search results

The purpose of this study is to propose four experiential components of e-servicescape that influence customers’ pleasure emotions, satisfaction with bed and breakfast (b&b) websites and behavioral intentions in the context of the b&b industry.

This study is based on a cross-sectional, self-administered online survey from b&b customers.

This study identifies that both perceived enjoyment and social presence represent positive effects on customers’ pleasure emotions and satisfaction with b&b websites. However, flow experience only influences customers’ pleasure emotions, and interactivity only affects customers’ satisfaction with b&b websites. Results from this study confirm that customers’ pleasure emotions influence their satisfaction with b&b websites and their behavioral intentions.

This paper incorporates the roles of experiential factors of e-servicescape in the context of the b&b industry.

This study aims to examine determinants of perceived website quality and associations among consequences of perceived website quality. Adopting the framework of loyalty development, causal links are investigated among the website quality, customers’ perceived service quality, their satisfaction, return intention and loyalty in the context of the lodging industry.

An online field survey is conducted with internet bookers. A confirmatory factor analysis and a parameter estimate analysis using structural equation modeling are adopted to analyze the data.

The progression of the phases of loyalty proceeds in a linear fashion on a lodging website. Mediation effects of customer satisfaction and return intention are detected. Moderation effects of gender were also detected in the relationships among website service quality and consequences of website service quality.

Caution is advised in generalizing findings of this study due to convenience sampling, although findings of the study do confirm results of previously conducted studies.

This study provides practical tips for website development for hospitality management to understand the e-loyalty formation process so that appropriate marketing strategies can be established to accommodate the type and degree of individual customer’s loyalty as well as gender-specific expectations from prospective customers.

This study demonstrates that customer loyalty formation in both physical and online environments has identical processes in the context of the lodging industry. The male group, compared to the female group, appears to be more sensitive in perceiving the effects of functionality of a lodging website, tends to develop customer satisfaction when perceiving website service quality and inclines to develop customer loyalty when having return intention.

This study aims to provide an in-depth understanding of the complex nature of Airbnb user experience by analyzing the pattern and sentiment of online reviews and assessing the relationships among review scores.

Big data analysis is conducted using Airbnb users’ online reviews of 16 US cities; correlation is run on review scores.

The key themes of Airbnb users’ online reviews are “clean,” “location,” “stay,” “home,” “place,” “host,” “neighborhood” and “recommend” and users have positive Airbnb experiences in general. The score of “cleanliness” significantly affects the “overall review” score.

This study is exploratory in nature; mixed methods should be used in the future to measure the relationship between user experience and extracted themes. As the context is in the USA in the current study, comparisons of review patterns across different countries and regions are necessary for later studies. Furthermore, future studies should consider Airbnb users’ demographics, personality and lodging preferences.

It is important for Airbnb hosts to maintain a clean and accessible property. Both Airbnb hosts and hoteliers should enhance the attributes that generate positive customer reviews. Each city should develop different strategies based on the performance of “cleanliness” and “overall review.”

This study supplements the existing literature in Airbnb user experience by analyzing online reviews in 16 US cities via Leximancer 4.0.

分析Airbnb网络评论：论美国16城市的用户体验

本论文旨在深入了解Airbnb用户体验的复杂属性, 通过分析网络评论以及网络评分之间的关系来找寻规律和判断用户情感偏差。

本论文采用大数据方式, 样本为美国16个城市的Airbnb用户网络评论; 本论文还对网络评分做出相关性分析。

研究结果表明, Airbnb用户网络评论的关键主题为“清洁性”、“地理位置”、“居住体验”、“家”、“地点”、“招待主人”、“邻里”、以及“推荐”和用户总体来说对Airbnb有着积极体验。“清洁度”分数对“整体评论”有显著影响。

本论文属于开拓性研究作品; 未来项目可以采用混合方法来衡量用户体验与主题的关系。本论文的研究背景是美国, 未来研究可以做不同国家和区域的评论模式对比分析。此外, 未来研究还应该考虑Airbnb用户的统计数据指标、个性、以及住宿设施偏好。

对于Airbnb住宿提供者来说, 保持设施的清洁和可使用性是非常重要的。对于Airbnb住宿主人和酒店经营者来说, 加强服务属性来提高网络好评是非常重要的。每个城市都应该基于“清洁度”和“整体评论”来开发不同的战略。

本论文补充了现有Airbnb用户体验的文献, 通过Leximancer 4.0 软件来分析美国16个城市的网络评论

Given the importance of performance consistency of chain hotels in customers’ decision-making and service evaluation, this study aims to explore how consistently chain hotel brands offer quality service and carry out their performance from the eyes of customers through online reviews on TripAdvisor of the top five US hotel chains (i.e. Choice, Hilton, InterContinental, Marriott and Wyndham) and their brands.

The research objectives were achieved through methodological triangulation: business intelligence, data visualization analytics and statistical analyses. First, the data collection and pre-processing of consumer-generated media (CGM) (i.e. TripAdvisor online reviews) were performed using business intelligence for further analyses. Using data visualization analytics (i.e. box-and-whisker plot by region and brand), the geographic patterns of performance attributes (i.e. online review ratings, including location, sleep, cleanliness, room and service) were depicted. Using a series of analyses of variance and regression analyses, the results were further assessed for the impacts of brand performance inconsistency on consumers’ perceived value, sentiment and satisfaction.

The empirical results demonstrate that there are significant performance inconsistencies in performance attributes (location, sleep, cleanliness, room and service) by brands throughout the six regions in the US hotel market. More importantly, the findings confirm that brand performance consistency significantly influences consumers’ perceived service quality (i.e. perceived value, satisfaction and sentiment).

This study is one of the first attempts to empirically explore hotel brand performance consistency in the US hotel market from customer reviews on CGM. To measure hotel brand performance in the US hotel market, this study collected and analyzed user-generated big data for the top 5 US hotel chains through business intelligence, visualization analytics and statistical analysis. These integrated and novel research methods would help tourism and hospitality researchers analyze big data in an innovative data analytics approach. The findings of the study contribute to the tourism and hospitality field by confirming hotel brand performance inconsistency and such inconsistent performance affected customers’ service evaluations.

This study demonstrates the significant impact of hotel brand performance consistency on consumers’ perceived value, emotion and satisfaction. Considering that online reviews are perceived as a credible source of information, the findings suggest that the hotel industry pays special attention to brand performance consistency to improve consumers’ perceived value, emotion and satisfaction.

This study examined relationships among e-stimuli and customers’ behavioral intentions and identified whether customers’ hedonic or utilitarian orientation moderation effects of e-stimuli on a bed and breakfast (B&B) website’s flow experience.

The proposed hypotheses were tested by using structural equation modeling. Two group comparisons were conducted to test moderating effects in the relationships between stimuli and flow experience.

This study determined e-stimuli affected customers’ flow experiences and causal relationships among emotions, satisfaction and behavioral intentions. It also found moderating effects of hedonic/utilitarian motivation.

Findings from this study could help B&B operators develop online marketing strategies.

This study developed a framework of e-stimuli in a B&B website setting to address customers’ psychological behaviors to understand the practical needs of the B&B industry and customers’ expectations.

本论文检验了网络刺激与消费者行为意向之间的关联, 并且指出具体消费者享乐主义动机和功利主义动机在网络刺激对民宿网站的整体感受之间的调节作用。

本论文采用SEM对提出的假设进行验证, 并且采用两组对比分析针对刺激源和整体感受之间的调节作用

研究结果确定了网络刺激对消费者整体感受的作用力, 以及情感、满意度、与行为意向之间的因果关系。此外, 研究结果还发现享乐/功利动机的调节作用。

本研究结果帮助民宿业主开发在线营销策略。

本论文开发一个民宿网站的网络刺激模型, 来解决消费者的心理行为, 以了解民宿产业的实际需求和消费者期望。

To explore the impact of luxury hotel brands’ technologies on guests’ perceived value enhancement and its consequences, this study aims to examine how task–technology fit (TTF) and luxury–technology fit (LTF) affect luxury hotel guests’ perceived value enhancement, satisfaction and brand loyalty.

A scenario-based online survey was conducted with existing and potential luxury hotel guests. The relationships among TTF, LTF, value enhancement, satisfaction and loyalty were examined using partial least square structural equation modeling. Moreover, the respondents were asked their preferred service agent (human staff vs technology) in a luxury hotel to further understand luxury hotel guests’ perception toward technological services in a luxury hotel setting.

The results reveal that both TTF and LTF have significant impacts on the luxury hotel’s value enhancement, and the impacts of TTF and LTF on value enhancement are moderated by the guests’ technology optimism. The findings of this study suggest that the luxury hotel brands must consider the fit between the image of their brand and the technology to increase guests’ perceived value enhancement, satisfaction and loyalty.

Applying categorization theory, this study extended the concept of brand extension to technology implementation. The findings advance the current understanding of how technology affects luxury hotel consumers’ perceived value enhancement, and how consumers’ optimism influences the impacts of TTF and LTF on value enhancement.

By examining the effects of TTF and LTF on luxury hotel guests’ perceived value enhancement, this study would shed light on luxury hotel brands’ technology implementation strategies. By understanding how TTF and LTF affect consumers’ perceived value enhancement, luxury hotel brands will be able to better design their technology implementation plans.

Even though luxury hotel brands are well known for offering high-level and personalized services through interpersonal interactions between employees and consumers, they have been actively implementing a variety of technologies to enhance guest experience and satisfaction. This study investigates the role of technological innovations in a luxury hotel setting. Particularly, this study examines how technologies improve guests’ perceived value of a luxury hotel and lead to satisfaction and loyalty.

This study aims to cross-validate the technology experience (TE) scale and examine the potential differences in consumer TE across three different sectors.

Across three separate studies, the TE scale and its psychometric properties and consequences were examined across three distinctive hospitality and tourism (H&T) sectors: accommodations (n = 640), food and beverage (n = 615) and tourism (n = 592).

The findings consistently show that TE is a second-order formative construct with nine dimensions. Furthermore, the factor structure of consumer TE is consistent across the focal sectors, enhancing the TE scale’s generalizability. While the dimensions consisting of TE were identical across the three sectors, the composites of TE were formed differently across the sectors, demonstrating the differences in consumers’ TE across the three sectors.

This research offers practical implications to the H&T industry regarding the different impacts of various TE dimensions on consumers’ overall experiences, thereby creating overall satisfaction and behavioral intentions.

To the best of the authors’ knowledge, this research was the first attempt to examine the differences in consumers’ TE across the sectors of the H&T industry. By identifying the different impacts of TE dimensions on consumers’ overall experience, this research provides theoretical and practical contributions by confirming the distinct characteristics of the sectors under the H&T industry.

This study aims to advance the understanding of the relationships between employee engagement (EE), satisfaction and turnover intention (TI) beyond their known linear functions by providing a set of significant empirical evidence on nonlinear functions including quadratic, cubic and interactive effects.

This study used four 2 × 2 between-subjects experiments sampling 640 hospitality sales professionals through online data collection methods. EE and employee satisfaction (ES) were examined in disaggregation into personal and organizational dimensions. Residual regression models controlling for age and gender as covariates were the main approaches for analyzing data for nonlinear effects.

Both EE and ES consistently have significant negative quadratic and positive cubic effects on employees’ TI. EE and ES have a negative interaction effect, that is, complementing each other, on TI such that the effect is more pronounced at higher levels than lower levels of EE and satisfaction.

Organizations need to understand some threshold phenomena that may exist in the widely believed linear effects of EE and satisfaction on TI. Doing so may help allocate resources more effectively for EE and satisfaction.

This study examined the nonlinear as well as interactive nature of the relationships between EE and TI and ES and TI to expand our understanding of these relationships beyond the known linearity and add new empirical evidence to the literature.

This paper aims to explore how emotional expressions embedded in online hotel reviews influence consumers’ helpfulness perceptions. In particular, this study develops and tests hypotheses analyzing empirical data with a text-mining method in the context of hotels to investigate how review valence influences the perceived helpfulness of online hotel reviews and to examine the role of negative emotional expressions embedded in online consumer reviews with respect to perceived helpfulness.

This study collected 520,668 online reviews involving 488 hotels in New York City (NYC) on Tripadvisor.com. Of these reviews, 69,202 reviews (13.29 per cent) that had received helpfulness votes were analyzed by a text mining method and negative binomial regression.

This study demonstrates that negative reviews are considered more helpful than positive reviews when potential customers read online hotel reviews for their future stay. However, when intensively negative emotions were expressed, the degree of helpfulness regarding negative reviews was diminished.

While emotional expressions prevail in online consumer reviews, surprisingly little attention has been devoted to the consequences of emotional expressions in consumers’ information processing and decision-making. Due to the nature of service, given the inseparability of production and consumption, which often hinders the execution of flawless service, consumers tend to be more dependent on reviews to minimize any potential failures they may encounter later on. Therefore, this study fills a gap by demonstrating that negative reviews and emotional expressions play a more crucial role in consumers’ information processing and decision-making.

Creating memorable experiences for customers at the individual property is one of the primary goals in hotel management across all segments. Adopting the concept of the ingredient branding, this study aims to attempt to identify the effects of bathroom amenity brands on customers' attitudes toward the hotel brand image and their behavior intentions toward a hotel brand. Specifically, this study assesses the importance of bathroom amenities on customer experience. It also examines the effects of bathroom amenity and their sustainable practices on hotel brand image and behavior intentions. Lastly, it provides suggestions for hoteliers in selecting right and appealing bathroom amenities while enhancing customers' hotel experience.

This study employed a 3 (hotel service level: economy, midscale, vs luxury) × 2 (bathroom amenity brand: luxury vs general) × 2 (bathroom amenity packaging: bottle vs dispenser) between-subjects experimental design. A total of 557 useable surveys were obtained to test the study's hypotheses.

The results reveal that customers had a better hotel image when high-end brand bathroom amenities in a bottle were offered. Specifically, when economy hotels provided high-end brand bathroom amenities, customers had a better hotel image, which lead to strong return intentions. Typically, bathroom amenities in the bottle were perceived better than those in the dispenser when it came to the hotel image.

The findings of this study reconfirm that the level of hotel service, bathroom amenity brand and bathroom amenity packaging jointly affect hotels' overall image. Specifically, the generic bathroom amenity in the dispenser somewhat degrades the image of the hotel for economy hotels; however, the image of hotel is not significantly affected by the type of bathroom packaging when the hotel has luxury bathroom amenities. Thus, hotel management should pay more attention to selecting the bathroom amenity brand, which can offer more memorable experience for customers.

Little research has been documented on the effects of hotel bathroom amenity brands on customers' attitudes toward hotel brand image and their psychological behaviors in the hotel industry, lacking rigorous theoretical examinations. The current study provides several important contributions not only to the body of knowledge but to the hotel industry.