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While research evidences how customers’ emotions can influence their consumer experience, understanding of how employees’ displayed emotions affect the customer service experience is more limited. Drawing on affect transfer theory, the authors test for the mediating role of attitude towards the employee, which is proposed to mediate the effect of employees’ displayed emotion on customers’ satisfaction with recovery. As service recovery entails a critical service experience in which emotions can easily rise, this paper aims to highlight the pivotal role of employee-displayed emotions during service recovery.

A scenario-based experiment in the context of an airline service failure recovery (3 × 2 between-subjects design) manipulates frontline employees’ emotions (anger vs happiness vs no specific emotion) and the quality of the solution (bad vs good).

Employees’ displayed emotions directly affect attitude towards the employee and indirectly affect service recovery satisfaction. Moreover, attitude towards the employee is affected more by the employee’s displayed emotion when the solution offered is bad compared to good.

Employees’ emotions displayed during service recovery can enhance or damage service recovery strategies. Employees should control for negative emotions in the case of service failure, especially when unable to provide a good solution.

Emotions displayed by employees can influence the customer’s service recovery evaluations. There is an interesting interaction between the quality of the solution and employees’ displayed emotions. Additionally, the mantra of “service with a smile” may not be valid in the case of service recovery: rather, employees should avoid displaying negative emotions.

A pesar de que la literatura ha demostrado la importancia que tienen las emociones en los consumidores, se sabe poco acerca de cómo influyen las emociones de los empleados. Basándonos en la teoría de la transferencia de afecto, testamos el papel mediador de la actitud hacia el empleado. Ésta se propone como mediadora del efecto que tiene la emoción mostrada por el empleado en la satisfacción del cliente. Este trabajo resalta el papel fundamental de las emociones mostradas por el empleado durante la recuperación del servicio.

Experimento (3x2 entre sujetos) basado en el fallo de una aerolínea. Se manipulan las emociones del empleado (enfado vs alegría vs ninguna emoción específica) y la calidad de la solución (mala vs buena).

Las emociones mostradas por los empleados afectan directamente a la actitud hacia el empleado e indirectamente a la satisfacción con la recuperación del servicio. La actitud se ve más afectada por la emoción mostrada por el empleado cuando la solución ofrecida es mala.

Las emociones mostradas por los empleados pueden contribuir o dañar las estrategias de recuperación del servicio. Los empleados deben controlar las emociones negativas, especialmente cuando no pueden ofrecer una buena solución.

Las emociones mostradas por los empleados influyen en la recuperación del servicio. Existe interacción entre la calidad de la solución y la emoción del empleado. Además, la consigna de “atender al cliente con una sonrisa” puede no ser válida en este contexto, siendo más relevante que los empleados no muestren emociones negativas.

虽然研究证明了顾客的情绪如何影响他们的消费体验, 但对员工所表现出的情绪如何影响顾客服务体验的理解却比较有限。借鉴情感转移理论, 我们测试了对员工态度的中介作用, 提出了员工表现出的情绪对客户对服务补救满意度影响的中介作用。由于服务补救涉及情绪容易上升的关键服务体验, 本文强调了员工表现出的情绪在服务补救过程中的关键作用。

在航空公司服务故障补救的背景下, 一个基于场景的实验（3x2主体间设计）操纵了一线员工的情绪（愤怒vs快乐vs无特定情绪）和解决方案的质量（差vs好）。

员工表现出来的情绪直接影响顾客对员工的态度, 间接影响对服务补救的满意度。此外, 当所提供的解决方案质量是差的, 而不是好的, 顾客对员工的态度受员工所表现的情绪的影响更大。

员工在服务补救过程中表现出来的情绪可以增强或破坏服务补救策略。在服务失败的情况下, 员工应该控制消极的情绪, 特别是在无法提供一个好的解决方案时。

员工表现出来的情绪会影响顾客的服务补救的评价。解决方案的质量和员工表现的情绪之间存在着有趣的互动。此外, “微笑服务 “的口号在服务补救的情况下可能是无效的：相反, 员工应该避免表现出负面情绪。

The purpose of this study is to examine the role of consumption emotion in the digital food-ordering experience by comparing the performances of the three digital ordering methods in an experimental design.

A research model was developed based on the Feelings-as-Information (FaI) theory and the expectancy-disconfirmation theory. A 3 × 2 between-subjects lab experiment was conducted to compare the three digital ordering methods (online, mobile or chatbot) in two different types of restaurants (quick-service or full-service).

The results indicate that the chatbot ordering method evoked more negative emotions and less positive emotions than the other two methods. The online ordering method worked the best for quick-service restaurants, whereas the mobile ordering method was most suitable for full-service restaurants. Both positive and negative emotions (comfort and annoyance) significantly mediated the relationships between the ordering method and internal responses (satisfaction and behavioral intention). Only one negative emotion (anger) significantly mediated the relationship between the ordering method and order amount.

This is the first study that attempts to explore and compare consumers’ emotional responses resulting from restaurant digital ordering experiences in the context of the three food-ordering methods. The use of the FaI theory strengthens the theoretical foundation of research on emotion in the hospitality field. This study also pioneers the application of chatbot technology in the restaurant industry.

本论文旨在研究消费情感在线上点菜体验中的作用, 采用实验设计中的三种线上点菜方式。

本论文基于情绪即信息（Fal理论）和期望-不一致理论创建了研究模型。实验设计为3×2被试间设计来比较三种线上点菜方式（在线、手机、或聊天机器人）在两种不同餐厅类型（快餐vs全服务餐厅）

研究结果表明, 聊天机器人点菜方式相比较其他两种方式, 将带来更多负面情绪和较少的正面情绪。在线点菜方式最适用于快餐类型的饭店, 手机点菜方式最适合全服务餐厅。正面和负面情绪（舒服和烦恼）都对点菜方式和情绪反应（满意度和行为意图）之间的关系起到中介作用。只有一种负面情绪（愤怒）对在线方式和点菜量之间存在显著的中介作用。

本论文是首篇探索和对比消费者面对三种点菜方式, 在餐厅线上点菜体验的情绪反应。本论文使用Fal理论巩固了酒店管理领域中情感研究的理论深度。本论文还探索了饭店中对聊天机器人应用的科研。

Since the opening of China (aka, reform and opening-up), a great number of rural residents have migrated to large cities in the past 40 years. Such a one-way population inflow to urban areas introduces nontrivial social conflicts between urban natives and migrant workers. This study aims to investigate the most discussed topics about migrant workers on Sina Weibo along with the corresponding sentiment divergence.

An exploratory-descriptive-explanatory research methodology is employed. The study explores the main topics on migrant workers discussed in social media via manual annotation. Subsequently, guided LDA, a semi-supervised topic modeling approach, is applied to describe the overall topical landscape. Finally, the authors verify their theoretical predictions with respect to the sentiment divergence pattern for each topic, using regression analysis.

The study identifies three most discussed topics on migrant workers, namely wage default, employment support and urban/rural development. The regression analysis reveals different diffusion patterns contingent on the nature of each topic. In particular, this study finds a positive association between urban/rural development and the sentiment divergence, while wage default exhibits an opposite relationship with sentiment divergence.

The authors combine unique characteristics of social media with well-established theories of social identity and framing, which are applied more to off-line contexts, to study a unique phenomenon of migrant workers in China. From a practical perspective, the results provide implications for the governance of urbanization-related social conflicts.

The purpose of this paper is to identify salient topic categories and outline their evolution patterns and temporal trends in microblogs on a public health emergency across different stages. Comparisons were also examined to reveal the similarities and differences between those patterns and trends on microblog platforms of different languages and from different nations.

A total of 459,266 microblog entries about the Ebola outbreak in West Africa in 2014 on Twitter and Weibo were collected for nine months after the inception of the outbreak. Topics were detected by the latent Dirichlet allocation model and classified into several categories. The daily tweets were analyzed with the self-organizing map technique and labeled with the most salient topics. The investigated time span was divided into three stages, and the most salient topic categories were identified for each stage.

In total, 14 salient topic categories were identified in microblogs about the Ebola outbreak and were summarized as increasing, decreasing, fluctuating or ephemeral types. The topical evolution patterns of microblogs and temporal trends for topic categories vary on different microblog platforms. Twitter users were keen on the dynamics of the Ebola outbreak, such as status description, secondary events and so forth, while Weibo users focused on background knowledge of Ebola and precautions.

This study revealed evolution patterns and temporal trends of microblog topics on a public health emergency. The findings can help administrators of public health emergencies and microblog communities work together to better satisfy information needs and physical demands by the public when public health emergencies are in progress.

The purpose of this paper is to understand the subjects contained in the Dunhuang mural images as well as their relation structures.

This paper performed content analysis based on Panofsky’s theory and 237 research papers related to the Dunhuang mural images. UNICET software was also used to study the correlation structures of subject network.

The results show that the three levels of subject have all captured the attention of Dunhuang mural researchers, the iconology occupy the critical position in the whole image study, and the correlation between iconography and iconology was strong. Further analysis reveals that cultural development, production, and power and domination have high centralities in the subject network.

The research samples come from three major Chinese journal databases. However, there are still many authoritative monographs and foreign publications about the Dunhuang murals which are not included in this study.

The results uncover the subject hierarchies and structures contained in the Dunhuang murals from the angle of image scholarship which express scholars’ intention and contribute to the deep semantic annotation on digital Dunhuang mural images.