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This study aims to acquire a better understanding about consequences of workplace incivility upon restaurant frontline service employees caused by customers, supervisors and coworkers. The moderating roles of perceived organizational support (POS) and emotion regulation ability (ERA) were also tested to determine the possibility for reducing the negative effect of workplace incivility upon the emotional exhaustion of restaurant frontline service employees.

Using data obtained from 239 restaurant frontline service employees, a 35-item instrument was used to assess workplace incivility and its effects upon emotional exhaustion, perceived service performance, POS and ERA. A structural equation model was used to test hypotheses. The multi-group approach was used to investigate the moderating effects POS and ERA have upon the relationships between workplace incivility, emotional exhaustion and perceived service performance.

Results documented that workplace incivility significantly increases emotional exhaustion and further leads to low levels of job service performance. Customer incivility was especially found to have the strongest power for increasing emotional exhaustion, followed by supervisor incivility. Also, results confirmed that POS and ERA play significant roles in moderating the relationships between workplace incivility, emotional exhaustion and perceived service performance. Based upon this study’s findings, theoretical and practical implications are offered for developing successful employee management strategies.

Results suggest specific practical management implications pertaining to restaurant frontline service employees. This study’s research findings recommend the development of more efficient support programs designed to diffuse potential situations involving workplace incivility. Findings further highlight the important role employee ERA has upon the effects of incivility and frontline service performance. Implications are provided with respect to specific strategic direction management should consider to recruit and select the most appropriate employees for restaurant frontline service positions.

The current study’s conceptual research was developed in an attempt to simultaneously address all three dimensions of workplace incivility to examine how they affect employee emotions and their job performance.

This study aims to investigate consumer choice motives for purchasing organic coffee by applying the Theory of Planned Behavior (TPB) approach and how those are influenced by different degrees of ethical concern and price sensitivity to gain a better understanding about consumer behavior related to the rapidly growing demand for this unique product.

Data were collected from consumers at cafés (n = 482) located in seven metropolitan cities in South Korea using a self-administered questionnaire. Data were analyzed using descriptive statistics, confirmatory factor analysis and structural equation modeling.

Results documented that health and environmental protection were predictors of purchase attitude and subjective norm. Environmental protection was found to be a predictor of perceived behavioral control. TPB antecedents were significantly related to purchase intention. Ethical concern and price sensitivity documented the significant moderating roles upon organic coffee purchasing behavior.

Findings further contribute to a better understanding about influential choice motives regarding organic coffee and their effect upon consumer purchase behavior.

Findings assist in understanding the roles ethical concerns and price sensitivity play upon consumer behavior issues specific to purchasing organic coffee. New research findings assist with marketing and promoting the social benefits associated with organic coffee while also offering pricing strategies for café and restaurant businesses to optimize their organic coffee sales revenue potential.

This study is one of the first to clarify consumer motives for purchasing organic coffee, and to ascertain whether consumer purchase attitudes and intentions regarding organic coffee are influenced by different degrees of ethical concern and price sensitivity.

The purpose of this study is to examine the theoretical relationship between event quality perceptions of an international sport event and the host city's destination image.

Reliability and validity of the measurement scale were established through a confirmatory factor analysis (CFA), Cronbach's alpha analyses, and intercorrelation analyses. A structural equation model (SEM) test with maximum likelihood estimation was performed to test the relationship among the research variables using 451 participants.

The results suggest that event quality perceptions, particularly intangible factors, positively influence the destination image. Theoretical and practical implications are discussed.

To date, there have been few empirical studies examining the relationship between international sport event quality and destination image. Consequently, understanding the role of event quality of an international sport event and the destination image in a tourist's decision‐making process, and their theoretical relationship, will make both scientific and practical contributions.

Since the introduction of martial arts in the global community through a variety of international sport events, the sport of Taekwondo (TKD) has grown rapidly. Although the magnitude of the TKD market has increased, few systematic studies have been conducted to understand TKD participants, particularly consumer variables associated with TKD events. The rapid growth of TKD as a global cultural product warrants a better understanding of event consumers and their decision‐making processes. Accordingly, the purpose of this paper is to investigate consumers' quality perceptions and satisfaction by focusing on their sport involvement and identification.

Research respondents (n = 215) were spectators of the 2007 US Open TKD Championship, an annual event held by USA Taekwondo Inc.

Results suggest that identification and involvement positively influence event quality perceptions and satisfaction. Specifically, highly identified fans/competitors are highly satisfied and perceive service quality more positively. This study proceeds to a discussion of theoretical implications and future opportunities for event managers.

Until now, there has not been substantial research on these issues. It is anticipated that the results of this study may enhance the understanding of a particular TKD market in the USA and provide guidance for developing effective marketing strategies and maintaining current event successes. Therefore, the scholarly effort aimed at understanding these issues will make both scientific and practical contributions.

There is limited research on the behavior of different categories of space tourists as identified by different types of space tourism. To address this deficiency, the purpose of this study is to examine what factors make consumers participate in orbital and/or suborbital space tourism, along with three dimensions of motivation, constraint and artificial intelligence. To achieve this study’s goals, a comprehensive research model was developed that included three dimensions of intrinsic and extrinsic motivation, intrapersonal and interpersonal constraint and awareness of and trust in artificial intelligence, in comparing orbital and suborbital space tourism groups.

A questionnaire was carried out with respondents who wanted to participate in orbital (n = 332) and suborbital (n = 332) space tourism in the future. Partial least squares-structural equation modeling, fuzzy-set qualitative comparative analysis, multi-group analysis and deep learning were used to understand potential space tourist behavior.

Extrinsic motivation has the greatest positive impact on behavioral intention, followed by awareness of and trust in artificial intelligence, while intrapersonal constraint strongly negatively affects behavioral intention. Surprisingly, interpersonal constraint is insignificant by partial least squares-structural equation modeling but is still one of sufficient causal configurations by fuzzy-set qualitative comparative analysis. Interestingly, the two types of space tourism have very distinct characteristics.

This study created a comprehensive integrated research model with three dimensions of motivation, constraint and artificial intelligence, along with potential orbital and suborbital space tourist groups, to identify future consumer behavior. Importantly, this study used multi-analysis methods using four different approaches to better shed light on potential orbital and suborbital space tourists.

对不同类型太空旅游所识别的不同类别太空游客行为的研究有限。 为了解决这一缺陷, 这项工作研究了哪些因素使消费者参与轨道和/或亚轨道太空旅游, 以及动机、约束和人工智能三个维度。 为了实现研究目标, 在比较轨道和亚轨道太空旅游群体时, 开发了一个综合研究模型, 包括内在和外在动机、内在和人际约束以及对人工智能的认识和信任三个维度。

对希望在未来参与轨道 (n = 332) 和亚轨道 (n = 332) 太空旅游的受访者进行了问卷调查。 利用偏最小二乘法 (PLS)-结构方程模型 (SEM)、模糊集定性比较分析 (fsQCA)、多组分析和深度学习来了解潜在的太空游客行为。

外在动机对行为意图的积极影响最大, 其次是对人工智能的认识和信任, 而内在约束对行为意图有强烈的负面影响。 令人惊讶的是, 人际约束对于 PLS-SEM 来说是微不足道的, 但对于 fsQCA 来说仍然是充分的因果配置之一。 有趣的是, 这两类太空旅游具有非常鲜明的特点。

这项工作创建了一个全面的综合研究模型, 具有动机、约束和人工智能三个维度, 以及潜在的轨道和亚轨道太空旅游群体, 以确定未来的消费者行为。 重要的是, 这项研究采用了多种分析方法, 使用四种不同的方法来更好地揭示潜在的轨道和亚轨道太空游客。

existe una investigación limitada sobre el comportamiento de las diferentes categorías de turistas espaciales identificados por diferentes tipos de turismo espacial. Para abordar esta deficiencia, este trabajo examina qué factores hacen que los consumidores participen en el turismo espacial orbital y/o suborbital, junto con tres dimensiones de motivación, restricción e inteligencia artificial. Para lograr los objetivos del estudio, se desarrolló un modelo de investigación integral que incluía tres dimensiones de motivación intrínseca y extrínseca, restricción intrapersonal e interpersonal, y conocimiento y confianza en la inteligencia artificial, al comparar grupos de turismo espacial orbital y suborbital.

se realizó un cuestionario con los encuestados que querían participar en el turismo espacial orbital (n = 332) y suborbital (n = 332) en el futuro. Se utilizaron modelos de ecuaciones estructurales (SEM) de mínimos cuadrados parciales (PLS), análisis comparativo cualitativo de conjuntos borrosos (fsQCA), análisis multigrupo y aprendizaje profundo para comprender el comportamiento potencial del turista espacial.

la motivación extrínseca tiene el mayor impacto positivo en la intención de comportamiento, seguida de la conciencia y la confianza en la inteligencia artificial, mientras que la restricción intrapersonal afecta negativamente la intención de comportamiento. Sorprendentemente, la restricción interpersonal es insignificante por PLS-SEM, pero sigue siendo una de las configuraciones causales suficientes por fsQCA. Curiosamente, los dos tipos de turismo espacial tienen características muy distintas.

este trabajo creó un modelo de investigación integral integral con tres dimensiones de motivación, restricción e inteligencia artificial, junto con posibles grupos de turistas espaciales orbitales y suborbitales para identificar el comportamiento futuro del consumidor. Es importante destacar que este estudio empleó métodos de análisis múltiple utilizando cuatro enfoques diferentes para arrojar mejor luz sobre los posibles turistas espaciales orbitales y suborbitales.

This study aims to explain how the impact of COVID-19 on human mobility is affected by the perceived risk of the pandemic.

Using a statistical analysis and a geographic visualization technique, we investigate whether and how changes in people’s restaurant visiting patterns during COVID-19 vary with their level of risk perception.

The changes in people’s restaurant visiting patterns vary with their risk perception: the tendency to increase the number of visits to restaurants located in non-popular areas is related to the level of perceived risk.

This research confirms the importance of risk perception when examining the pandemic’s multi-dimensional impacts.

这项研究旨在解释 COVID-19 对人类流动性的影响如何受到大流行的感知风险的影响。

使用统计分析和地理可视化技术, 我们调查人们的餐厅是否以及如何变化COVID-19 期间的访问模式因他们的风险感知水平而异。

人们的餐厅光顾模式的变化随着他们的风险感知而变化：去位于非热门区域的餐厅的光顾次数增加的趋势与感知的风险水平有关。

这项研究证实了在检查大流行的多维影响时风险认知的重要性。

Mediante un análisis estadístico y una técnica de visualización geográfica, investigamos si los cambios en los patrones de visita a restaurantes de las personas durante COVID-19 varían en función de su nivel de percepción del riesgo y cómo lo hacen.

Esta investigación pretende explicar cómo el impacto de COVID-19 en la movilidad humana se ve afectado por el riesgo percibido de la pandemia.

Los cambios en las pautas de visita a restaurantes de las personas varían en función de su percepción del riesgo: la tendencia a aumentar el número de visitas a restaurantes situados en zonas no populares está relacionada con el nivel de riesgo percibido.

Esta investigación confirma la importancia de la percepción del riesgo a la hora de examinar los impactos multidimensionales de la pandemia.

Textual information about restaurants, such as online reviews and food categories, is essential for consumer purchase decisions. However, previous restaurant recommendation studies have failed to use textual information containing essential information for predicting consumer preferences effectively. This study aims to propose a novel restaurant recommendation model to effectively estimate the assessment behaviors of consumers for multiple restaurant attributes.

The authors collected 1,206,587 reviews from 25,369 consumers of 46,613 restaurants from Yelp.com. Using these data, the authors generated a consumer preference vector by combining consumer identity and online consumer reviews. Thereafter, the authors combined the restaurant identity and food categories to generate a restaurant information vector. Finally, the nonlinear interaction between the consumer preference and restaurant information vectors was learned by considering the restaurant attribute vector.

This study found that the proposed recommendation model exhibited excellent performance compared with state-of-the-art models, suggesting that combining various textual information on consumers and restaurants is a fundamental factor in determining consumer preference predictions.

To the best of the authors’ knowledge, this is the first study to develop a personalized restaurant recommendation model using textual information from real-world online restaurant platforms. This study also presents deep learning mechanisms that outperform the recommendation performance of state-of-the-art models. The results of this study can reduce the cost of exploring consumers and support effective purchasing decisions.

关于餐厅的文本信息, 如在线评论和食品分类, 对于消费者的购买决策产生至关重要。然而, 先前的餐厅推荐研究未能有效利这些文本信息去预测消费者喜好。本研究提出了一种新颖的餐厅推荐模型, 以有效估计消费者对多个餐厅属性的评估行为。

我们从 Yelp.com 收集了来自25,369名消费者对 46,613 家餐厅的 1,206,587 条评论。利用这些数据, 我们通过结合消费者身份和在线消费者评论生成了消费者偏好向量。然后, 我们结合了餐厅身份和食品分类来生成餐厅信息向量。最后, 考虑到餐厅属性向量, 本研究调查了消费者偏好和餐厅信息向量之间的非线性交互关系。

我们发现, 所提出的推荐模型相比于之前最先进的模型表现出更优秀的性能, 这表明结合消费者和餐厅的各种文本信息是预测消费者喜好的基本因素。

据我们所知, 这是第一项利用来自真实在线餐厅平台的文本信息开发个性化餐厅推荐模型的研究。本研究还提出了胜过最先进模型的深度学习机制。本研究的结果可以降低探索消费者行为的成本并支持有效的购买决策。

The purpose of this study is to investigate the relationships among determinant (ease of use), extrinsic (usefulness) and intrinsic motivations (enjoyment), attachment and usage intention regarding seniors’ use of mobile devices for tourism. In addition, this study examines the moderating role of knowledge in these relationships.

The researchers collected data via online surveys to reach the target population of this study, 55 years and older adults who had used mobile devices for tourism. The researchers used the partial least squares approach for this study.

The results reveal that ease of use has significant effects on extrinsic and intrinsic motivations. The motivations of usefulness and enjoyment significantly affect attachment, which, in turn, influences usage intention. The relationships between ease of use and usefulness, ease of use and enjoyment and enjoyment and attachment were stronger for the high-knowledge group than for the low-knowledge group. The relationship between usefulness and attachment was stronger for the low-knowledge group than for the high-knowledge group.

The findings of this study provide compelling implications for academics and practitioners in the senior tourism field.

The compelling insight of this study is the development of a research model that combines an emergent construct of attachment as a mediator and knowledge of technology as a moderator.

The purpose of this study is to investigate the moderating role of CEO duality on the geographic diversification–firm performance relationship in the US lodging industry.

To examine the individual effect of geographic diversification and the moderating effect of CEO duality, this study adopts random effects regression. Additionally, to appropriately address the endogeneity issue, this study uses random effects regression with the instrumental variable method. The sample period spans 1990-2015 and 258 firm-year observations are included.

This study finds that geographic diversification has a positive and significant effect on firm performance. Also, the result shows a positive and significant moderating role of CEO duality, which implies that the magnitude of the impact of geographic diversification on firm performance is significantly greater when CEO duality exists.

Although it has a limitation of applying the results of this study to privately held lodging firms in other countries, US public lodging firms are encouraged to consider a corporate governance structure incorporating CEO duality to maximize the effect of geographic diversification on firm performance.

This study contributes to the hospitality literature by providing a unique dimension that the influence of geographic diversification is contingent on the adoption of CEO duality. And, the results of this study provide practical guidelines for the lodging firms’ implementation of geographic diversification.

Presence of innumerable sensors, complex deduction of contexts from sensor data, and reusability of contextual information impose the requirement of middleware for context aware computing. Smart applications, hosted in myriad devices (e.g. PDA, mobile, PCs), acquire different contexts from the middleware and act intelligently based on the available contexts in a context‐aware computing environment. As the system grows larger, scalable delivery of contexts from the middleware to numerous context‐aware applications will be inevitable. However, pure unicast based or pure broadcast‐based dissemination cannot provide high scalability as well as low‐average latency. The purpose of this paper is to present a scalable context delivery mechanism for the middlewares to facilitate the development of larger context‐aware computing systems.

The proposed scheme is based on hybrid data dissemination technique where the most frequently requested data (e.g. HOT contexts) are delivered through multicast and the rest (e.g. COLD contexts) are delivered through unicast to reduce network traffic. The paper dynamically prioritizes and classifies the HOT and COLD context data depending on the number of requests and longest waiting time. Moreover, the division of bandwidth between the delivery of HOT and COLD contexts reduces average latency. Polling traffic is decreased by incorporating leasing mechanism. Extensive simulation is conducted to evaluate the proposed scheme.

The mechanism dynamically prioritizes and classifies the hot and cold context data depending on the request rate and longest waiting time. The solution addresses the push popularity problem that occurs in the passive as the passive clients access data without sending explicit requests. The leasing mechanism is incorporated to reduce the periodical requests (polling) for better performance.

The paper is of value in presenting a scalable context delivery mechanism for the middlewares to facilitate the development of larger context‐aware computing systems and also in presenting implementation details of a prototype that is developed using Jini framework and Java reliable multicast service (JRMS) library.