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Drones have become an important element within hospitality and tourism. The purpose of this study is to identify the corpus of knowledge and create a research agenda that establishes appropriate guidelines for future study of drone application in hospitality and tourism.

This work has been undertaken using a mixed-methods approach that combines quantitative and qualitative research and includes a review of the literature related to the study of drone use in hospitality and tourism.

The mixed-methods review identified gaps in the research, potential areas of study to enhance the scientific literature and potential uses of drones in tourism and hospitality for researchers, consumers and industry professionals.

This study makes an original contribution by establishing an integrated framework, which led to a synthesis of the research corpus and provided a holistic conceptualisation of the relationship between tourism and drones. In addition, the research agenda proposed will help boost and consolidate this emerging field of research.

无人机已经成为接待和旅游中的一个重要元素。本研究的主要目的是确定知识库, 并建立一个研究议程, 为未来无人机在酒店和旅游业的应用研究建立适当的指导方针。

这项工作采用了混合方法, 将定量和定性研究结合起来, 包括对与酒店和旅游业中无人机使用研究有关的文献进行回顾。

混合方法审查确定了研究中的差距、加强科学文献的潜在研究领域, 以及研究人员、消费者和行业专业人士在旅游和酒店业的无人机应用潜力。

这项研究通过建立一个综合框架做出了原创性的贡献, 它综合合成了研究语料库, 并对旅游和无人机之间的关系提供了一个整体的概念化。此外, 提出的研究议程将有助于促进和巩固这一新兴的研究领域。

Los drones se han convertido en un elemento importante dentro de la hostelería y el turismo. El objetivo principal de este estudio es identificar el corpus de conocimiento y crear una agenda de investigación que establezca las directrices adecuadas para el estudio futuro de la aplicación de los drones en la hostelería y el turismo.

Este trabajo se ha realizado utilizando un enfoque de métodos mixtos que combina la investigación cuantitativa y cualitativa e incluye una revisión de la literatura relacionada con el estudio del uso de drones en hostelería y turismo.

La revisión de métodos mixtos identificó lagunas en la investigación, áreas potenciales de estudio para mejorar la literatura científica y potencial de las aplicaciones de los drones en el turismo y la hostelería para investigadores, consumidores y profesionales del sector.

Este estudio aporta una contribución original al establecer un marco integrado, que conduce a una síntesis del corpus de investigación y proporciona una conceptualización holística de la relación entre el turismo y los drones. Además, la agenda de investigación propuesta contribuirá a impulsar y consolidar este campo de investigación emergente.

This study aims at validating a scale for the perception of competences and attitudes of the Portuguese public administration employees. The sample of this study consists of 1,119 participants working in public administration and other labour sectors in Portugal. The psychometric qualities of this instrument were studied to assess its use in future studies.

An initial exploratory factor analysis showed that the scale is composed of one factor, with a Kaiser–Meyer–Oklin value of 0.83. The subsequent confirmatory factor analysis performed in AMOS 27 confirmed the existence of a single factor.

The analysis of the psychometric qualities of the scale allows concluding that it can be applied in the context of the Portuguese public administration.

Given the universality of the competences and attitudes adopted, it can be extended to other work and cultural contexts.

The purpose of this study is to understand how sustainability orientation influences economic, environmental and social sustainability performance and the moderating role of environmental hostility on these relationships. This study aims to deepen the consequences of the strategic commitment to sustainability of tourism firms located in the World Heritage Cities of Cusco, Lima and Arequipa in Peru.

The empirical analysis was conducted on a sample of 238 tourism firms. The authors implemented structural equation modelling technique to contrast the hypothesis.

The results shows that sustainability orientation has a positive effect on social and environmental performance mainly, but also on both financial and non-financial economic performance. The authors also detect a significant negative moderating effect of environmental hostility, which is accentuated in the case of social and economic-financial performance.

This study provides interesting practical implications in the tourism sector. Firms should develop a strategic commitment to sustainability, even in hostile environments, to improve their competitive position while reducing the negative impact of their activity on the natural and social environment. Institutions should encourage firms to commit to sustainability to achieve more sustainable and competitive urban tourism destinations.

This study advances the controversial debate on whether sustainability orientation of tourism firms leads to better economic performance. Moreover, from triple bottom line approach, it provides a holistic view of how sustainability orientation affects sustainability performance in all its dimensions. Finally, this paper delves into the complexities and challenges of sustainable urban tourism.

This paper aims to study, by means of an empirical approach, how monetary policy might affect the distribution of individual income.

After describing the channels through which monetary policy could impinge on income distribution, the authors carry out a panel analysis of 62 countries that control their monetary policy for the period 1996–2015.

Using two possible proxy variables for monetary policy (the monetary aggregate M3 and the real interest rates), the results reveal a significant positive relationship between real interest rates and income inequality measured through the market Gini coefficient and polarization ratios. The findings suggest that central bankers should be more aware of the redistributive effects of monetary policy.

It should be mentioned the major challenge of data limitation in the empirical investigation on the relationship between monetary policies and inequalities.

The empirical evidence presented in this paper supports the premise that central bankers should not ignore the unintended redistributive consequences of their actions. In this regard, it is worth noting that if, in addition to price stability, central banks are also responsible for financial stability; the rationale behind central bank independence needs to be reconsidered.

An outstanding feature of the paper is its sample size and the variety of countries included in the sample, which includes countries from all continents and with very different levels of economic development. Also, unlike papers based on forecasting modeling – e.g. Vector autoregression (VAR) or Structural vector autoregression (SVAR) models, the study follows an explanatory approach, including not only monetary variables, but also a series of regressors that may have a meaningful and significant impact on inequality, according to a wide literature.

This research aims to understand the learning with regard to didactic knowledge of an early childhood teacher who participated in a Lesson Study (LS) on the topic of patterns, as well as her perspective about LS as a teacher education process.

This is a qualitative case study of an early childhood teacher who participated in a LS alongside three other colleagues and a facilitator. Data collection was made by participant observation with elaboration of a research journal, audio recording of sessions and a collective interview. Data analysis was made by content analysis based on the conceptual framework.

This case study shows that early childhood teachers may become aware of the importance of working with their children mathematical ideas. It also shows that they may develop their didactic knowledge in several dimensions such as school mathematics, curriculum, children and their learning, and teaching practice and that they may appreciate LS as a means of professional development.

This study shows the potential of LS for the professional development of early childhood teachers, a scarcely researched area. It also shows that their learning may include dimensions related to specific curricular areas such as mathematics.

This paper aims to review the history of Roldós y Compañía, one of the oldest advertising agencies in the world and the oldest currently operating. This research aims to highlight the importance of this agency and its founder, Rafael Roldós Viñolas – the first documented advertising agent in Spain to this day – in shaping the emerging Spanish advertising industry at the end of the 19th century.

The methodology used in this paper is based on a review of period and contemporary literature, as well as on newspaper sources and documents from the private archive of Roldós, S.A.

In its early years, the agency’s participation in two of the most significant events for the modernization of the city of Barcelona, the Universal Exhibition of 1888 and the International Exhibition of 1929; as well as the ideation and implementation of several urban projects with the aim of finding new formulas and advertising media are factors that make it one of the most important in the country. In 1929, the alliance Roldós-Tiroleses, S.A. de Publicidad, the first great merger of advertising agencies in Spain, which lasted three years, was led. The outbreak of the Civil War and the subsequent post-war period marked a few years of business irregularities and advertising silences that gave instability to its activity. During the last third of the 20th century, the agency was immersed in the generalized advertising euphoria around the world. With the arrival of North American agencies in Barcelona and the consequent business movements, Roldós, S.A. specializes in the processing of advertisements and media planning. The 21st century began with important changes in the media planning sector, and the agency was forced to restructure its services and organizational structure. In 2022, it celebrates 150 years of uninterrupted activity, recognized by the country’s business sector.

This research aims to internationalize the history of the Roldós y Compañía agency, so that it can be studied together with other names of Anglo-Saxon advertising pioneers who were contemporaries of Rafael Roldós.

Scientific research on the history of advertising agencies, especially in Spain, is scarce, so this paper aims to help fill this gap.

This paper aims to analyse residents’ perceptions of tourism growth in Porto prior to the COVID-19 pandemic, aiming to determine the most appropriate strategies to mitigate negative tourism impacts. Studies on resident perceptions of tourism impacts are still scarce, particularly the ones addressing the topic in the context of Portuguese urban tourism areas.

Data was collected through an online survey, focusing on three categories of impacts: (i) economic, (ii) sociocultural (iii) and spatial-environmental, and the respective mitigation strategies, analysed from the perspective of Porto’s residents. Descriptive and bivariate statistics – T-test and Eta correlation – were used to analyse the collected data.

Respondents who live in the city centre experience specific tourism impacts more negatively, when compared to those living outside the inner-city area. Furthermore, no strong correlation is found between the said impacts and the respective mitigation strategies. However, creating awareness among tourists about acceptable behaviour in shared spaces is the strategy that stands out, as it has a medium correlation with all three impact categories. Most impact-strategy associations are weak, meaning that the defined strategies are not the most case-appropriate, which is something that policymakers should address.

To the best of the author’s/authors’ knowledge, this is the first study to adopt this approach in tackling the negative impacts of rapid tourism growth in Porto.

This study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging technologies (ETs) in public services delivery.

VOSviewer and SciMAT techniques were used for clustering and mapping the use of ETs in the public services delivery. Collecting documents from the DGRL v16.6 database, the paper uses text mining analysis for identifying key terms and trends in e-Government research regarding ETs and public services.

The analysis indicates that all ETs are strongly linked to each other, except for blockchain technologies (due to its disruptive nature), which indicate that ETs can be, therefore, seen as accumulative knowledge. In addition, on the whole, findings identify four stages in the evolution of ETs and their application to public services: the “electronic administration” stage, the “technological baseline” stage, the “managerial” stage and the “disruptive technological” stage.

The output of the present research will help to orient policymakers in the implementation and use of ETs, evaluating the influence of these technologies on public services.

The research helps researchers to track research trends and uncover new paths on ETs and its implementation in public services.

Recent research has focused on the need of implementing ETs for improving public services, which could help cities to improve the citizens’ quality of life in urban areas. This paper contributes to expanding the knowledge about ETs and its implementation in public services, identifying trends and networks in the research about these issues.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.