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This study aims to identify the structural relationships among the drivers of lovemarks (mystery, sensuality, intimacy, trust, reputation and performance), lovemarks (brand love and brand respect) and loyalty of a name-brand coffee shop.

To this end, a self-administered questionnaire survey was conducted, and after eliminating the outliers, a total of 401 data were analyzed using the SPSS and AMOS statistical packages.

The results of the current study indicate that both customers’ brand love and respect are positively related to their brand loyalty and sensuality, intimacy, trust among drivers of lovemarks directly affecting their brand loyalty, suggesting that the theory of lovemarks is useful to understand the process of generating brand loyalty. Moreover, it was revealed that reputation and performance are significant antecedents of brand respect, while mystery, sensuality and intimacy are important to explain brand love.

The present research informed that effectively dealing with two constituents of lovemarks (brand love and brand respect) are of utmost importance in building patrons’ brand loyalty. In addition, patrons’ cognitive and emotional experiences should be improved to boost the level of loyalty for a name-brand coffee shop.

This study made a contribution to the literature by conceptually and empirically evaluating lovemarks’ dimensions simultaneously in the name-brand coffee shop environment. In addition, this research was the first attempt to explicate loyalty formation for a name-brand coffee shop by using the lovemarks theory.

This study investigates relationships among components of the marketing communication mix, brand identification, brand image, brand love and brand loyalty. The focus of this study is advertisement spending, customers' attitudes toward the advertisement, monetary promotion and non-monetary promotion as marketing communication mix elements.

Proposed relationships are investigated with 683 previous coffee shop customers, based on a cross-section, online, self-administered survey in South Korea.

Results identify advertising spending, attitude toward the advertisement, monetary promotion, and non-monetary promotion play key roles in influencing brand identification; however, they do not influence brand image. Both brand identification and brand image further influence brand love on brand loyalty.

This study is the first to investigate the marketing communication mix elements in a coffee shop context.

Coffee shops are becoming more aware that brand loyalty can be an effective strategy for securing a competitive edge in business. To supplement current understanding of the importance of coffee shop branding, this study investigates the role of personality traits and congruity in the formation of brand loyalty. This study finds that personality traits have direct effects on congruity and customer satisfaction, the two defining factors of brand loyalty. Overall, our results suggest that the interaction of personality traits, congruity, and satisfaction is essential to the process of influencing coffee shop customers’ brand loyalty.

Nowadays, the agricultural business environment is expended to the whole world. Transaction records in point of sales and customer relationship management (CRM) systems can be large-scale data for long-established global chain businesses. Thus, the purpose of this paper is to using a proposed data mining approach to discover valuable markets/customers of urban coffee shop industry (retailer) in current environment of Taiwan, which can implement the industry's data-driven marketing strategy on a CRM system.

In this research approach, Ward's method, C5.0 decision tree and a proposed model are applied for discovering valuable markets and mining useful customer rules.

These found markets and discovered rules can be applied on marketing information or CRM system for identifying valuable customers and target markets.

In this study, the CRM system can be the media for the data-driven marketing strategy in environment of Taiwan. The approach of this research can be applied on other businesses for their data-driven marketing strategies as well.

The main aim of this research was to explore specialty coffee experience dimensions and what drives revisit intentions through experiencescapes. The theoretical framework on experience co-creation in food and wine consumption by Carvalho et al. (2021) was employed to explore the dimensions of specialty coffee shop experiences and specialty coffee consumer revisit intentions.

Using the interpretivist epistemology, this research explored these factors from the perspectives of customers, coffee shop baristas, and managers and owners to better understand consumer behaviour in the context of urban coffee shops. In-depth interviews were employed to collect data to obtain first-hand, emic perspectives.

The notion of specialty coffee and its experiencescape were examined in the context of a region of tea-dominated landscapes. This research highlighted the significance of baristas as agents of coffee connoisseurship, being able to introduce the beans and the art of coffee making to customers in active ways. The findings amplified that olfactory encounters triggering a myriad of senses are crucial to the specialty coffee experiencescape.

This is among the first studies to explore the driving factors for customer visits and revisit intentions to urban coffee shops. The findings point to greater sophistication and engagement in-person and online for urban coffee shops. More importantly, the olfactory encounters differed for solo and group customer.

This study aims to explore the hidden connectivity among words by semantic network analysis, further identify salient factors accounting for customer satisfaction of coffee shops through analysis of online reviews and, finally, examine the moderating effect of business types of coffee shops on customer satisfaction.

Two typical major procedures of big data analytics in the hospitality industry were adopted in this research: one is data collection and the other is data analysis. In terms of data analysis, frequency analysis with text mining, semantic network analysis, CONCOR analysis for clustering and quantitative analysis with dummy variables were performed to dig new insights from online customer reviews both qualitatively and quantitatively.

Different factors were extracted from online customer reviews contributing to customer satisfaction or dissatisfaction, and among these factors, the brand-new factor “Sales event” was examined to be significantly associated with customer satisfaction. In addition, the moderating effect of business types on the relationship between “Value for money” and customer satisfaction was verified, indicating differences between customers from different types of coffee shops.

The present study broadened the research directions of coffee shops by adopting online customer reviews through relative analytics. New dimensions such as “Sales event” and detailed categorization of “Coffee quality”, “Interior” and “Physical environment” were revealed, indicating that even new cognition could be generated with new data source and analytical methods. The industry professionals could develop their decision-making based on information from online reviews.

The present study used online reviews to understand coffee shop costumer experience and satisfaction through a set of analytical methods. The textual reviews and numeric reviews were concerned simultaneously to unearth qualitative perception and quantitative data information for customers of coffee shops.

本研究的目的在于通过网络评论分析了解网络评论中关键词之间的隐含联系, 然后探究影响咖啡店顾客满意度的因素, 最后验证不同咖啡店经营类型的调节作用。

本研究使用文本挖掘的频率分析、语义网络分析、聚类分析和通过虚拟变量进行的定量分析, 从网络评论中挖掘对咖啡店行业的新见解。此外, 还检验了咖啡店经营类型的调节作用。

从网络评论中提取影响顾客满意度的不同因素, 探索出“销售活动”对顾客满意度的显著影响。同时, 相较于连锁咖啡店, 独立经营咖啡店对“物有所值”到顾客满足度的关系具有调节作用。  

本研究通过使用相关的分析方法对顾客网络评论进行分析, 拓宽了咖啡店研究的方向。研究结果发现“销售活动”和“咖啡品质”的细分等新方面, 揭示了利用新的数据源和分析方法可以为相关产业提供全新的认知。本研究的研究结果表明行业从业者可以根据顾客网络评论来制定相应的营销策略。

本研究利用网络顾客评论及相关分析方法, 了解顾客咖啡店体验及满意度。本研究同时利用文本评论和数字评论来挖掘和分析咖啡店顾客的定性感知和定量数据信息。

关键词咖啡店 在线顾客评论 文本挖掘 语义网络分析 经营类型

文章类型： 研究型论文

Este estudio intenta explorar las relaciones encubiertas de palabras, mediante el análisis de redes semánticas, pero aún más, identificar los factores destacados que explican la satisfacción de los clientes de las cafeterías a través del análisis de reseñas online y, por último, examinar el efecto moderador de los tipos de negocios de cafeterías en la satisfacción al cliente.

En esta investigación se adoptaron dos procedimientos principales de análisis de “Big Data” en la industria hotelera, uno es la recopilación de datos y el otro es el análisis de datos. En términos de análisis de datos, se efectuó un análisis de frecuencia con minado de texto (text mining), análisis de red semántica, análisis CONCOR para agrupamiento y análisis cuantitativo con variables ficticias para extraer nuevas perspectivas de las reseñas de los clientes online, tanto cualitativa como cuantitativamente.

Diferentes factores fueron extraídos de las reseñas de clientes online que contribuyen a la satisfacción o insatisfacción de estos y, entre estos factores, se examinó que el nuevo factor “Evento de Ventas” está significativamente asociado con la satisfacción al cliente. Además, se verificó el efecto moderador de los tipos de negocios entre la relación de “Valor por Dinero” y la satisfacción del cliente, indicando las diferencias entre los clientes de distintos tipos de cafeterías.

El presente estudio amplia la perspectiva de investigación de las cafeterías, al adoptar las reseñas de clientes online a través de un análisis relativo. Se revelaron nuevas dimensiones como “Evento de Ventas” y la categorización detallada de la “Calidad del Café”, “Interior” y “Entorno Físico”, lo que indica que se podría generar una nueva cognición con una nueva fuente de datos y métodos analíticos. Los profesionales de la industria podrían llevar a cabo la toma de decisiones en función de la información obtenida a través de las reseñas en línea.

El presente estudio utilizó reseñas de clientes online para comprender la experiencia y satisfacción de los clientes de las cafeterías a través de un conjunto de métodos analíticos. Las revisiones numéricas y de texto se tomaron en cuenta simultáneamente para revelar la percepción tanto cualitativa como cuantitativa de la información de los clientes de las cafeterías.

Cafetería, Reseñas de clientes online, Minado de texto, Análisis de redes semánticas, Tipos de negocios

Trabajo de investigación

The purpose of this paper is to investigate the interrelationships among coffeehouse brand experiences, customer satisfaction and perceived value in generating patrons’ repeat purchase intention.

The survey sample consisted of 379 coffeehouse patrons who visited an international chain coffeehouse in a metropolitan city of South Korea.

The results of the structural equation modeling revealed that a coffeehouse brand experience exerted a significant influence on customer satisfaction and perceived value. The repurchase intention was found to be a significant and positive function of customer satisfaction and perceived value. Moreover, the result of the metric invariance test demonstrated a significant moderating impact on the relationships between coffeehouse brand experiences and customer satisfaction, coffeehouse brand experiences and perceived value, and customer satisfaction and repurchase intention.

An examination of the moderating role of switching costs demonstrated that the relationships between coffeehouse brand experiences and customer satisfaction, between coffeehouse brand experiences and perceived value and between customer satisfaction and repurchase intention differed across switching costs groups. More specifically, the relationship strength was greater for the high group of switching costs than for the low group.

The present study provides coffeehouse management with a better understanding of the underlying mechanism of patrons’ repurchase decision generation process.

The purpose of this study is to gain a more nuanced understanding of the relationship between a national product (coffee) and gastronomy. Moreover, incorporating the resource-based view of the firm framework, the importance of coffee is examined, as is the extent and potential to “marry” coffee and gastronomy into a tourism activity, and the need to develop such potential.

Semi-structured, face-to-face and online interviews were used to gather the viewpoints of 79 chefs and coffee shop owners/managers operating in Vietnam, the world’s second-largest coffee producer and home to a vibrant coffee shop industry.

The selected inductive analysis identified 11 dimensions, including “coffee infrastructure”, “coffee-based innovation”, “coffee-trigger” and “coffee resources”, emerged. These dimensions reveal a strong potential for a coffee and local gastronomy “marriage”. Furthermore, nine of the 11 dimensions provide direct guidance concerning the importance, the potential for “marriage”, coffee tourism development and what is needed to fulfil this potential.

The study affords understanding of Vietnam’s coffee industry, in particular its resources, and how these can be leveraged to combine with the nation’s gastronomy and produce more fulfilling food and beverage experiences.

Gastronomy, hospitality and tourism represent a well-defined partnership that can result in memorable consumer experiences. While the strength of this partnership is recognised, little is known about the potential to “marry” a national product such as coffee and local gastronomy. The study breaks new ground in this area and concludes with various theoretical and practical implications that contribute to more understanding of the coffee–gastronomy relationship.

This study aims to develop a theoretical model to identify the importance of brand modernity with the moderating role of human baristas and robot baristas.

A total of 333 samples were collected from a coffee shop where robots provide the services, and 354 samples were collected in a coffee shop where people provide the services.

The data analysis showed that brand modernity has a positive effect on brand attitude, which in turn positively affects brand attachment and brand loyalty. In addition, there is a moderating role in regard to the type of employee in the relationship between brand modernity and brand attachment and brand attitude and brand loyalty.

This study is different from the previous studies, because it used two types of employees, which included a human barista and a robot barista, as a moderating variable with the formation of brand attitude, brand attachment and brand loyalty.

本研究开发了一个理论模型, 以通过人类咖啡师和机器人咖啡师的调节来确定品牌现代性的重要性。

本研究从机器人提供服务的咖啡店收集了 333 个样本, 在员工提供服务的咖啡店收集了 354 个样本。

数据分析表明, 品牌现代性对品牌态度有积极影响, 进而对品牌依恋和品牌忠诚度产生积极影响。此外, 员工类型在品牌现代性与品牌依恋、品牌态度和品牌忠诚度的关系中具有调节作用。

本研究不同于以往的研究, 因为它使用了两种类型的员工, 包括人类咖啡师和机器人咖啡师, 作为调节变量参与品牌态度、品牌依恋和品牌忠诚度的形成。

The purpose of this study examined the effect of the eight dimensions of consumer innovativeness on brand satisfaction. In addition, this study investigated how brand satisfaction affects brand preference and brand loyalty. Lastly, how brand preference plays to form brand loyalty was also explored.

A survey was conducted via an online platform with the participants using an online firm in South Korea to evaluate the proposed research model. The data was collected from 326 people who used a coffee shop where robots provide the services.

The data analysis results indicated that the five dimensions of consumer innovativeness, which include novelty seeking, openness, quality experience seeking, hedonic experience seeking and social distinctiveness, aid to enhance brand satisfaction. Furthermore, it was discovered that brand satisfaction plays an important role with the formation of brand preference and brand loyalty.

There are few studies which focus how coffee consumers assess the value of a coffee brand. Thus, it would be meaningful to examine what impacts of consumer innovativeness exist in regards to robotic barista services that are related to brand satisfaction, brand preference and brand loyalty.

本研究考察了消费者创新性的八个维度对品牌满意度的影响。此外, 本研究还调查了品牌满意度如何影响品牌偏好和品牌忠诚度。最后, 还探讨了品牌偏好在形成品牌忠诚度方面的作用。

本研究通过在线平台在韩国进行了一项调查, 参与者使用一家提供机器人服务的咖啡店进行评估。数据收集自326名在该咖啡店使用服务的顾客。

数据分析结果表明, 包括新奇寻求、开放性、品质体验寻求、享乐体验寻求和社交独特性在内的五个消费者创新性维度有助于提高品牌满意度。此外, 品牌满意度在品牌偏好和品牌忠诚度的形成中起着重要作用。

目前很少有研究关注咖啡消费者如何评估咖啡品牌的价值。因此, 对于与品牌满意度、品牌偏好和品牌忠诚度相关的机器人咖啡师服务消费者创新性影响的研究具有重要意义。