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This exploratory study aims to identify the main risk reduction strategies when individuals suffer from coeliac disease (CD) or non-coeliac gluten sensitivity (NCGS) travel. Based on Yeung and Yee's (2013; 2019) model, the paper offers a new framework for analysing the main travel risk reduction strategies for people with specific food needs. The empirical work focuses on the perspectives of different stakeholders (CD and NCGS community, restaurant managers/service providers and nutritionists).

A qualitative approach based on thematic analysis is adopted. The results of 32 semi-structured in-depth interviews reveal different stakeholders' perspectives in order to understand the various strategies.

The findings confirm the high level of consensus that the main food risk reducers are: travel information, staff training in safety assurance, legislation and risk prevention protocols. The findings also show significant limitations in the information offered by restaurants, organisations and tourist destinations and the negative repercussions on the tourist experience and the reputation on a particular destination.

The results will help hospitality business managers and destination management organisations develop food risk reduction strategies to solve some of the most important food-related problems when people in this market segment travel.

This work contributes to the literature by providing a new framework on travel risk reduction strategies for people with specific food needs. The novelty of this research is mainly found in the study of risk reduction strategies related to the travel decision-making process for those with CD and NCGS from different perspectives.

The purpose of the paper is to present a service design (SD)-based methodology developed to help small and medium enterprises (SMEs) undertake organisational change.

This research used the design science research methodology, which enabled the creation of the Service Design for Organisational Change (SD4OCh) methodology. A real case study of a small service company specialised in neuropsychological disorders was used for the definition and validation of SD4OCh.

The main outcome of this study is the SD4OCh methodology, which is based on three key stages: diagnosis (knowing where to begin by detecting the organisation's strengths and weaknesses), innovation (improving the structure/processes and designing/redesigning services by employing a customer-centric approach), and implementation (enabling the definition of the route towards organisational change). There is also a transversal evaluation stage, which quantifies the organisational changes.

This study adds valuable knowledge to the service science research field and contributes to the awareness of the usefulness of SD theory within companies, especially those which are small and medium-sized, since those companies lack the tools and methods required to tackle organisational change, signifying that the challenges the companies confront are different to those of larger companies.

Although this is a SD-based research, the SD4OCh methodology was developed in order to enable companies to make holistic changes, namely, to innovate their services, structure, and processes, thus supporting and guiding organisational change.

The aim of this paper is to define which characteristics of a hotel and staff organization determine successful revenue management (RM) implementation in urban hotels.

Multiple linear regression analysis was used to determine whether the characteristics of the hotel and the staff member in charge of RM are explanatory variables for the degree of RM implementation.

The findings show that hotel category, chain affiliation and the existence of qualified full-time staff are the determinants for successful RM implementation. The creation of the revenue manager position alone is not determinant in the degree of RM implementation, but his/her qualification and dedication are fundamental variables.

Given that this survey was confined to the region of Madrid, it would be interesting to carry out similar research nationwide.

This study provides researchers and professionals guidance for the satisfactory implementation and use of RM, tailored to the characteristics of any given establishment. Therefore, this paper states that the creation of a qualified, on-site, full-time revenue manager position is crucial.

To the best of the authors’ knowledge, this is the first paper to conduct a formal statistical analysis of the relationship between hotel characteristics, staff organization and the degree of RM implementation. The greatest contribution of this research is the empirical demonstration that having a qualified full-time staff in charge of RM leads to better results in terms of RM implementation as opposed to not having one, having one part-time or having one at the corporate level. Therefore, this paper states that the creation of the professional revenue manager position within hotels is fundamental. Thus, the reported results provide a significant contribution to the literature related to the characteristics and organization of RM in hotels.

This study proposes an extension of the theory of planned behaviour (TPB) model to understand international travellers' intentions to visit Spain. This study aims to compare whether the predictive variables of the intention to travel differ depending on nationality. The extension includes: perceived risk, loyalty to the destination, past travel experience, public opinion climate and electronic word-of-mouth (eWOM).

A multiple-indicator, multiple-cause (MIMIC) model was developed as a structural equational model to predict the 1,978 participants' intention to travel. The structural model was used to determine the theoretical model for the total sample and by nationality (Germans, Britons and those from other European countries).

The extended models fitted the data well, explaining 64%–68% of the total variance, while differences depending on tourist nationality were also found. The MIMIC model indicated that German people's intention to travel to a holiday destination was influenced by their perception of risk, eWOM and loyalty to the country. In the British group, only the TPB variables were relevant. For those of other European nationalities, loyalty and eWOM were also significant. Travel experience, used as a variable in previous studies, was shown not to be significant. Overall, these results offer insights into how people from diverse countries and cultures embrace the aforementioned constructs when making travel decisions.

This study also has practical implications for policymakers in holiday tourism destinations, such as Spain. In particular, this study provides a better understanding of Britons' and Germans' travel intentions and could be beneficial for guiding policies for the recovery of the tourism industry in major tourism destinations.

Previous studies have applied various extended TPBs to one specific country or made comparisons between Asian countries. This study’s proposal makes a comparison of the variables used to predict the intention to visit a holiday destination among the European countries.

本研究提出了计划行为理论 (TPB) 模型的扩展, 以了解国际旅行者访问西班牙的意图。目的是比较旅行意图的预测变量是否因国籍而异。扩展包括：感知风险、对目的地的忠诚度、过去的旅行经历、舆论氛围和电子口碑（eWOM）。

开发了一个多指标、多原因 (MIMIC) 模型作为结构方程模型来预测 1,978 名参与者的旅行意图。结构模型用于确定总样本和国籍（德国人、英国人和来自其他欧洲国家的人）的理论模型。

扩展模型很好地拟合了数据, 解释了总方差的 64%–68%, 同时还发现了取决于旅游国籍的差异。 MIMIC 模型表明, 德国人前往度假目的地的意愿受到他们对风险、eWOM 和对国家忠诚度的认知的影响。在英国组中, 只有 TPB 变量是相关的。对于其他欧洲国家的人来说, 忠诚度和 eWOM 也很重要。旅行经验, 在以前的研究中用作变量, 被证明并不重要。总体而言, 这些结果提供了有关来自不同国家和文化的人们在做出旅行决定时如何接受上述结构的见解。

以前的研究已经将各种扩展的 TPB 应用于一个特定的国家或在亚洲国家之间进行了比较。我们的建议对用于预测欧洲国家旅游目的地意图的变量进行了比较。

Este estudio propone una extensión del modelo de la teoría del comportamiento planificado (TPB) para comprender las intenciones de visitar España de los viajeros internacionales. El objetivo es comparar si las variables que predicen la intención de viajar difieren según la nacionalidad. Esta extensión del modelo incluye variables como: riesgo percibido, lealtad al destino, experiencia de viaje anterior, clima de la opinión pública y el boca a boca electrónico (eWOM).

Se desarrolló un modelo de indicadores y causas múltiples (MIMIC) como modelo de ecuaciones estructurales para predecir la intención de viajar de los 1978 participantes. El modelo estructural se utilizó para comprobar el modelo teórico para la muestra total y por nacionalidades (alemanes, británicos y otros países europeos).

Los modelos ampliados propuestos se ajustaron bien a los datos, explicando entre el 64% y el 68% de la varianza total, si bien se encontraron diferencias en función de la nacionalidad del turista. El modelo MIMIC indicó que la intención de los alemanes de viajar a un destino de vacaciones estaba influenciada por su percepción de riesgo, el eWOM y la lealtad a España. En el grupo británico, solo las variables TPB resultaron relevantes. Para el grupo de otras nacionalidades europeas, la lealtad y el eWOM también fueron significativas. Sin embargo, la experiencia de viaje, utilizada en estudios previos, se mostró no significativa en todos los grupos. En general, estos resultados ofrecen información sobre cómo las personas de diversos países y culturas adoptan los constructos antes mencionados cuando toman decisiones de viaje.

Estudios previos han aplicado varios TPB extendidos a un país específico o han comparado los resultados entre países asiáticos. Nuestra propuesta hace una comparación de las variables utilizadas para predecir la intención de visitar un destino vacacional entre países europeos.

This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.

This study aims to examine how dynamic pricing impacts customer perceptions of restaurants and sentiment toward prices via online reputation metrics. In addition, to deepen the debate on dynamic pricing, a novel definition is drawn by exploring the specific forms of discrimination that can manifest in different industries.

Leveraging a comprehensive data set of restaurant reviews sourced from TripAdvisor, the study focuses on restaurants affiliated with one of the largest groups of restaurants in Spain. We used a quasi-experimental method (difference-in-differences), to study how dynamic pricing strategies influence customers’ perceptions of value based on numerical ratings. Meanwhile, we used a Bidirectional Encoder Representations from Transformers model on the textual component of reviews to dissect the emotional nuances of dynamic pricing.

Results did not reveal a causal impact of dynamic pricing strategies on customers’ perceptions. Moreover, the sentiment analysis shows no heightened negative view after introducing dynamic pricing in restaurants compared to the control group. Contrary to what previous literature suggests, our findings indicate that implementing dynamic pricing does not adversely affect customers’ perceptions or sentiments regarding prices in restaurants.

The quasi-experimental setting of the study presents inherent challenges in establishing causality that require further investigation using controlled experimental settings. Nevertheless, our study reveals that restaurant customers do not perceive dynamic pricing as unfair. This finding is critical for restaurant managers when considering the implementation of dynamic pricing and revenue management strategies. In addition, our study highlights the importance of considering not only numerical ratings but customer sentiment analysis as well. This more holistic approach to assessing the impact of pricing strategies can give restaurant managers a deeper understanding of customer reactions. In addition, a more rigorous definition of dynamic pricing is provided, clarifying its nature and its distinction in using different price discrimination.

This study contributes to the evolving understanding of dynamic pricing strategies’ impact on customers’ perceptions and sentiments in the restaurant industry. It aims to fill the gap in understanding customer reactions to algorithmically determined prices (via revenue management systems such as DynamEat) in this industry. The combination of causal inference and sentiment analysis offers a novel perspective, shedding light on the nuanced connections between dynamic pricing implementation and customers’ emotions.

本研究考察动态定价如何通过在线声誉指标影响顾客对餐厅的感知和对价格的情绪。此外, 为了深化对动态定价的讨论, 通过探索不同行业中可能表现出的具体歧视形式, 提出了一个新的定义。

利用从TripAdvisor获取的餐厅评论的全面数据集, 研究聚焦于与西班牙最大的餐厅集团之一相关联的餐厅。我们采用了准实验方法（差异中的差异）, 研究动态定价策略如何根据数值评分影响顾客对价值的感知。同时, 我们运用BERT模型对评论的文本成分进行分析, 以解析动态定价的情感细微差别。

结果没有揭示动态定价策略对顾客感知产生因果影响。此外, 情绪分析显示, 在餐厅引入动态定价后, 与对照组相比, 没有增加消极观点。与以往文献所述相反, 我们的发现表明, 实施动态定价并不会对顾客对价格的感知或情绪产生负面影响。

研究的准实验设置存在确立因果关系的固有挑战, 需要通过控制实验设置进一步调查。尽管如此, 我们的研究揭示了餐厅顾客不认为动态定价不公平。这一发现对餐厅经理在考虑实施动态定价和收入管理策略时至关重要。此外, 我们的研究强调, 考虑顾客情绪分析和数值评分的重要性。这种更全面的方法评估定价策略的影响, 可以让餐厅经理更深入地理解顾客反应。此外, 提供了一个更严格的动态定价定义, 澄清了其性质及其在使用不同价格歧视中的区别。

本研究对于理解动态定价策略对餐厅行业顾客感知和情绪影响的不断发展有所贡献。它旨在填补对客户对算法确定的价格（通过收入管理系统（RMS）例如DynamEat）在此行业中反应的理解空白。因果推断与情绪分析的结合提供了新的视角, 揭示了动态定价实施与顾客情绪之间微妙的联系。

Este estudio examina cómo la fijación dinámica de precios impacta en las percepciones de los clientes de los restaurantes y en el sentimiento hacia los precios a través de métricas de reputación en línea. Además, para profundizar en el debate sobre la fijación dinámica de precios, se propone una definición novedosa explorando las formas específicas de discriminación que pueden manifestarse en diferentes industrias.

Utilizando un conjunto de datos exhaustivo de reseñas de restaurantes obtenidas de TripAdvisor, el estudio se centra en los restaurantes afiliados a uno de los mayores grupos de restaurantes en España. Empleamos un método cuasiexperimental (diferencias en diferencias) para estudiar cómo las estrategias de precios dinámicos influyen en las percepciones de valor de los clientes basándonos en las calificaciones numéricas. Mientras tanto, empleamos un modelo BERT en el componente textual de las reseñas para desentrañar los matices emocionales de la fijación dinámica de precios.

Los resultados no revelaron un impacto causal de las estrategias de precios dinámicos en las percepciones de los clientes. Además, el análisis de sentimiento no muestra una visión negativa aumentada después de introducir la fijación dinámica de precios en los restaurantes en comparación con el grupo de control. Contrariamente a lo que sugiere la literatura previa, nuestros hallazgos indican que la implementación de precios dinámicos no afecta negativamente las percepciones o los sentimientos de los clientes respecto a los precios en los restaurantes.

La configuración cuasiexperimental del estudio presenta desafíos inherentes para establecer la causalidad que requieren una investigación más profunda utilizando entornos experimentales controlados. Sin embargo, nuestro estudio revela que los clientes de restaurantes no perciben la fijación de precios dinámica como injusta. Este hallazgo es crítico para los gerentes de restaurantes al considerar la implementación de la fijación de precios dinámica y estrategias de gestión de ingresos. Además, nuestro estudio resalta la importancia de considerar no solo las calificaciones numéricas sino también el análisis del sentimiento del cliente. Este enfoque más holístico para evaluar el impacto de las estrategias de precios puede dar a los gerentes de restaurantes una comprensión más profunda de las reacciones de los clientes. Además, se proporciona una definición de fijación de precios dinámica más rigurosa, aclarando su naturaleza y su distinción en el uso de diferentes discriminaciones de precios.

Este estudio contribuye a la comprensión en evolución del impacto de las estrategias de fijación de precios dinámicos en las percepciones y sentimientos de los clientes en la industria restaurantera. Su objetivo es llenar el vacío en la comprensión de las reacciones de los clientes a los precios determinados algorítmicamente (a través de sistemas de gestión de ingresos (RMS) como DynamEat) en esta industria. La combinación de inferencia causal y análisis de sentimientos ofrece una perspectiva novedosa, arrojando luz sobre las conexiones matizadas entre la implementación de la fijación de precios dinámicos y las emociones de los clientes.

The purpose of this study is to explore the paranormal tourist experience on ghost tours, taking into account the participants’ perceptions and their prior knowledge of the paranormal, in order to determine the principal components of the future of paranormal tourist experience.

The study is divided into two phases. The first phase is based on participant observation during a ghost tour. The second phase is based on a previously published framework for paranormal tourism. It introduces a qualitative adaptation of the orchestra model to look in-depth at how experiences with paranormal tours might shape the future of tourism as a major subtype.

Paranormal tourism has external (situational-enchantment, historical, mystical, ghostly and unsolved mysteries) and internal (affective, cognitive, sensory, behavior and relationship) components that are inter-linked. Future paranormal tourist experiences (FPTEs) must be focused on enhancing these aspects in order to offer an immersive experience.

Consequently, this paper proposes the FPTE model.

This paper aims to analyse the open data business models (ODBMs) as a source of knowledge and innovation to generate economic and social value. A framework for understanding ODBMs is presented. First, the knowledge structure of the ODBMs literature is identified. Second, a conceptual model for analysing the ODBMs is proposed. And finally, the future trends in ODBMs research are discussed.

In this paper, co-word analysis is performed to identify the topics related with ODBMs.

The ODBMs structure of knowledge is articulated in five themes: business model, smart city, business ecosystem, decision-making and innovation. Based on these results, a five-step model for analysing ODBMs is proposed. Finally, a discussion of the future trends of ODBMs focussed on a knowledge management perspective, open data ecosystems and business intelligence is presented.

The paper presents a picture of what, where, for whom and for what ODBMs have been studied and develops a new model to explain the value creation process of ODBMs. Taking a step further, applying the principles and models of knowledge management and business intelligence to ODBMs is also recommended in order to transfer and transform open data into valuable knowledge that can be used for developing apps. In that context, the importance of encouraging collaboration between different agents in the so-called open data ecosystem is presented.

The purpose of this paper is to analyse the future of the implementation of artificial intelligence (AI) technologies in services experience provided by cultural institutions (e.g. museums, exhibition halls and cultural centres) from experts’, cultural tourists’ and users’ point of view under the Industry 5.0 approach.

The research was conducted using a qualitative approach, which was based on the analysis of the contents obtained from two roundtable discussions with experts and cultural tourists and users. A thematic analysis using NVivo was done to the data obtained.

From a futuristic Industry 5.0 approach, AI is considered to be more than a tool – it as an integral part of the entire experience. AI aids in connecting cultural institutions with users and is beneficial since it allows the institutions to get to know the users better and provide a more integrated and immersive experience. Furthermore, AI is critical in establishing a community and nurturing it daily.

The most important contribution of this research is the theoretical model focused on the user experience and AI application in services experiences of museums and cultural institutions from an Industry 5.0 approach. This model includes the visitors’ and managers’ points of view through the following dimensions: the pre-experience, experience and post-experience. This model is focused on human–AI coworking (HAIC) in museums and cultural institutions.

The purpose of this paper is to examine the effects of the #MeToo movement in the work environment of professional football organizations in Spain. It also explores the current situation of the professional career of women working in this industry to know if the opportunities are equal for men and women to reach management or executive positions.

From a gender approach and considering gender as a social structure (Risman, 2004), the authors are going to analyse men and women’s professional careers in football organizations from a three-dimensional gender perspective (individual, interactional and institutional). The objective is twofold: to know the effect of the #MeToo movement in these organizations; and also to know the opinion of both men and women of these organizations concerning gender influence for women’s career progression. The methodology implemented in this investigation is qualitative; 24 in-depth interviews (12 men and 12 women) have been carried out with professionals from different executive positions in both football clubs and organizations.

The gender approach improves current knowledge about women’s roles in the football industry. The exploratory analysis of the results shows that although the #MeToo phenomenon is relatively known it has had an indirect impact in Spanish football, where its consequences have not been as visible as in other sectors.

The paper provides an exploratory approach by analysing the effects of the #MeToo movement in the football sector, an area where almost no previous research has been done. Also, it presents the main factors that influence women’s professional careers in this sector and the significance of the recent #MeToo phenomenon in the football industry.