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This paper aims to examine the short-term market impact of the beginning of the military conflict between Russia and Ukraine (24 February 2022), the world’s largest oil and gas companies.

The authors examine the world’s 100 largest listed oil and gas companies at and around the beginning of the military conflict between Russia and Ukraine using an event study methodology.

The authors observe a positive and statistically significant stock price reaction at and around the military conflict. These results are consistent with the asset pricing perspective. Conversely, the stock market returns of Russian oil and gas companies, as well as those companies that were “forced” to divest in Russia due to corporate activism, exhibit a negative and statistically significant impact from the conflict. These reactions are reinforced or mitigated by company-specific characteristics such as size, profitability and institutional ownership. Finally, the findings indicate that companies engaged in oil and gas exploration and production report abnormally higher returns compared to firms in the other two subsectors of the industry.

The effect of the war on stock markets has been relatively little examined in the financial theory. This study intends to fill this gap in the literature.

This paper examines the short-term market impact of the beginning of the military conflict between Russia and Ukraine (February 24, 2022) on the world’s largest defense firms.

The authors examine the world’s 100 largest listed defense firms at and around the beginning of the military conflict between Russia and Ukraine using an event-study methodology.

We observe a positive and statistically significant stock price reaction at and around the beginning of the military conflict. These results are consistent with the asset-pricing perspective/expected cash flow hypothesis. Consistent with the captured regulator theory, we find superior market returns for the two portfolios with a greater weight of defense sales. Superior market returns are also found for defense firms with higher R&D and capital expenditure intensity. Finally, these reactions are reinforced or mitigated by other firm-specific characteristics such as size, profitability and institutional ownership.

The effect of the war on stock markets has been relatively little examined in the financial theory. This study intends to fill this gap in the literature.

Hotels provide high-quality guest experiences to generate perceived value for money (PVM), positively influencing word-of-mouth (WOM) and electronic word-of-mouth (eWOM) communication. This study aims to (1) verify the impacts of the perceived quality by the guests about their experiences in hotels on their PVM; (2) inspect the influence of guests' perception of hotel prices on PVM; (3) examine the impacts of guest PVM on their hotel experiences on WOM and eWOM and (4) investigate the consequences of the hotel guests' behavioural engagement on social networking sites (HGBE-SNS) on eWOM.

This quantitative and descriptive study consists of a survey with 371 guests who evaluated their experiences at three hotels in Brazil. PLS-SEM tested the hypothetical model that resorted to the stimulus-organism-response theory (S-O-R), proposed by Mehrabian and Russell (1974). Cluster Analysis compared the PVM, WOM and eWOM of groups of hotel guests with different levels of social media engagement.

Perceived quality by hotel guests positively impacts PVM. Perceived price negatively influences PVM. PVM had a positive and robust impact on WOM. PVM impacts and explains weakly eWOM. In contrast, HGBE-SNS affects and better explains eWOM than PVM.

This unprecedented investigation concomitantly exhibits the relationships between perceived quality, price, PVM, WOM, eWOM and HGBE-SNS. Hotels must offer high perceived quality experiences to influence PVM and WOM positively. PVM is unable to stimulate eWOM strongly. HGBE-SNS is pivotal for guests to share their hotel experiences through eWOM. This study suggests marketing strategies for hospitality companies to amplify customer engagement on SNS.

Hotels offer high-quality guest experiences to positively impact their emotions, satisfaction, perceived value, word-of-mouth (WOM) and electronic word-of-mouth (eWOM). This study aims to investigate the impacts of the quality perceived by hotel guests on their positive emotions, negative emotions, perceived value and satisfaction; verify the impacts of the price on perceived value and satisfaction; examine the impacts of satisfaction on WOM and eWOM; and test the moderating effect of hotel guests’ behavioural engagement on social networking sites (HGBE-SNS) on the relationship between satisfaction and eWOM.

This survey included 371 guests who assessed their experiences at three Brazilian hotels. Structural equation modelling tested the hypothetical model supported by the stimulus-organism-response (S-O-R) theory (Mehrabian and Russell, 1974).

The quality perceived by hotel guests (stimulus) positively impacts perceived value, positive emotions and satisfaction and negatively affects negative emotions (organism). Price (stimulus) negatively impacts perceived value but does not affect satisfaction. Perceived value positively impacts satisfaction. Satisfaction positively impacts WOM and eWOM (responses). The HGBE-SNS moderates the relationship between satisfaction and eWOM.

To the best of the authors’ knowledge, this study is the first that simultaneously demonstrates the relationships between perceived quality, price, perceived value, positive and negative emotions, satisfaction, WOM, eWOM and HGBE-SNS. Hotels must offer their guests high-quality services to positively impact’ perceived value, positive emotions, satisfaction and WOM. Low prices boost the perceived value but do not directly increase guest satisfaction. Satisfied hotel guests share their experiences via WOM, but high HGBE-SNS is crucial to boost eWOM.

Los hoteles ofrecen experiencias de alta calidad a sus huéspedes para influir positivamente en sus emociones, satisfacción, valor percibido, boca a boca (WOM) y boca a boca electrónico (eWOM). Este estudio tiene como objetivo a) investigar el impacto de la calidad percibida por los huéspedes del hotel en sus emociones positivas, emociones negativas, valor percibido y satisfacción; b) verificar el impacto del precio en el valor percibido y la satisfacción; c) examinar el impacto de la satisfacción en el WOM y eWOM; d) probar el efecto moderador del compromiso conductual de los huéspedes del hotel en las redes sociales (HGBE-SNS) en la relación entre satisfacción y eWOM.

En esta encuesta participaron 371 huéspedes que evaluaron sus experiencias en tres hoteles brasileños. La modelización de ecuaciones estructurales puso a prueba el modelo hipotético apoyado en la teoría estímulo-organismo-respuesta (S-O-R) (Mehrabian y Russell, 1974).

La calidad percibida por los clientes del hotel (estímulo) influye positivamente en el valor percibido, las emociones positivas y la satisfacción, y negativamente en las emociones negativas (organismo). El precio (estímulo) afecta negativamente al valor percibido, pero no a la satisfacción. El valor percibido afecta positivamente a la satisfacción. La satisfacción afecta positivamente al WOM y al eWOM (respuestas). El HGBE-SNS modera la relación entre satisfacción y eWOM.

Este estudio es el primero que demuestra simultáneamente las relaciones entre calidad percibida, precio, valor percibido, emociones positivas y negativas, satisfacción, WOM, eWOM y HGBE-SNS. Los hoteles deben ofrecer a sus clientes servicios de alta calidad para influir positivamente en el valor percibido, las emociones positivas, la satisfacción y el WOM. Los precios bajos aumentan el valor percibido pero no incrementan directamente la satisfacción de los huéspedes. Los huéspedes satisfechos comparten sus experiencias a través del WOM, pero un alto nivel de HGBE-SNS es crucial para impulsar el eWOM.

酒店提供高质量的宾客体验, 对宾客的情绪、满意度、感知价值、口碑（WOM）和电子口碑（eWOM）产生积极影响。本研究旨在 a) 调查酒店客人感知到的质量对其积极情绪、消极情绪、感知价值和满意度的影响; b) 验证价格对感知价值和满意度的影响; c) 检验满意度对 WOM 和电子口碑的影响; d) 检验酒店客人在社交网站上的行为参与（HGBE-SNS）对满意度和电子口碑之间关系的调节作用。

本次调查包括 371 位客人, 他们对自己在巴西三家酒店的入住体验进行了评估。结构方程模型检验了由刺激-组织-反应（S-O-R）理论（Mehrabian 和 Russell, 1974 年）支持的假设模型。

酒店客人感知到的质量（刺激因素）对感知价值、积极情绪和满意度有积极影响, 而对消极情绪（有机体）有消极影响。价格（刺激因素）对感知价值有负面影响, 但不影响满意度。感知价值对满意度有积极影响。满意度对 WOM 和 eWOM（反应）产生积极影响。HGBE-SNS 可调节满意度与网络口碑之间的关系。

本研究首次同时展示了感知质量、价格、感知价值、积极和消极情绪、满意度、WOM、eWOM 和 HGBE-SNS 之间的关系。酒店必须为客人提供高质量的服务, 才能对 “感知价值"、"积极情绪"、"满意度 “和 “WOM “产生积极影响。低价会提升感知价值, 但不会直接提高客人满意度。满意的酒店客人会通过 WOM 分享他们的体验, 但高 HGBE-SNS 对促进 eWOM 至关重要。

How do citizens who live in municipalities that are in ‘news deserts’ find out about what is happening where they live? Developed in the United States and investigated in Brazil and the United Kingdom, the concept of ‘news deserts’ has aroused the curiosity of scholars and agents involved in the development of public policies in Europe, with the mapping of such areas being the target of a European Commission Call for Proposals to support local media in news-poor communities. The phenomenon of news deserts results from a systemic and wide-ranging crisis that journalism as a whole is facing, with profound effects on the local media. A ‘news desert’ is defined as a community without a local newspaper and also a community whose inhabitants face significantly reduced access to news that feeds the foundation of local democracy. One of the first mappings carried out in Europe, the News Deserts Europe 2022: Portugal Report, revealed that 25.3% of Portugal's municipalities did not have media outlets based in the municipality about which they produced contents, a phenomenon linked to more isolated communities with lower economic activity and smaller. But people somehow obtain information in these news deserts. Studies show that much of the local information in those regions is accessed through social media, such as Facebook pages and groups, which can be sources of disinformation and manipulation. When there is no media covering local affairs, communities are left without a point of reference.

The purpose of this study is to investigate the mediating influence of three digitalization antecedents on the links between digitalization and survival. It addresses the roots of digitalization to discover different patterns and foundations that contribute to higher survival rates. The article explores whether a learning strategy can attain survivability on its own or whether digitalization facilitates the function of learning in survival.

The study uses partial least squares structural equation modeling to analyze data from 483 firms to assess this study’s hypothesis. Additionally, necessary condition analysis (NCA) is used to specify the necessary conditions of survivability.

The authors find a positive relationship between digitalization and business survival, as well as evidence of the strong mediating effect of resilience and learning in survivability. In addition, the study reveals that digitalization can serve as a sufficient condition for survival but not a necessary one, as it may be replaced by the mediating variables.

The research offers insights into digitalization’s impact on business survival but faces limitations such as geographic focus and reliance on self-reported data. Despite this, it contributes to theory and practice by exploring how digitalization, organizational capabilities and resilience intersect.

This study provides insights into the required parameters for survival and the elimination of outliers in NCA.

This work provides insights into different antecedents of digitalization and business survival.

The repercussions of Portugal's colonialism are not widely discussed. The marks of colonialism in the public space are still present in the urban landscape of Portuguese cities. Despite the growing activity of the Black movement's in the country, they are still not being systematically considered in the design of public policies. Moreover, the Portuguese census does not include any data collection on ethnic belonging. Therefore, it is difficult to deepen the knowledge of the Black communities. The Black community has been growing in Porto, the second-largest city in Portugal and it remains highly invisible. Starting from a collaborative project between Portuguese and American professionals, acting in the fields of sociology and socially engaged curatorial and contemporary art practices, an experimental approach was developed to map and cocreate with the Black community in Porto. By using digital tools while collecting, analyzing, and sharing data, and by applying an ethnographic approach and techniques of exploration from documentary photography, the team developed a collaborative project side by side with the community. An exchange between disciplinary knowledge and “various subject positions,” with all participants engaging in an exploration of how to begin decolonizing the city through those tools took place at the project TRAVESSIA. This chapter explores how the Black nonelite is expressing and questioning race and ethnic inequalities in Porto by discussing the results of this collaborative project.

This study aims to assess the online presence of three Portuguese low-density territories and analyze the communication strategies employed by public and private entities within each municipality. The alignment between public and private entities within each municipality is also examined as a potential factor that could impact the effectiveness of digital communication strategies.

A qualitative methodology that employed content analysis and interviews to gather data from selected public and private entities in each of the municipalities under study was used.

Despite the widespread availability of digital communication tools, the municipalities under study are yet to fully exploit their potential to promote and publicize their offerings. This could be attributed to several factors such as a lack of knowledge and/or resources and a defective strategic approach to digital communication.

The major obstacle in maximizing the potential of digital communication tools in low-density destinations was not solely a result of restricted access. Rather, it was largely due to insufficient knowledge and resources required for their effective utilization, coupled with a lack of aligned vision among various stakeholders.

The competitive landscape in which tourist actors operate has transformed significantly because of the widespread adoption of digital communication led by social networks. However, studies exploring digital communication in low-density territories are still scarce. This study adds new insights into the main factors that hinder the efficient use of digital communication in these regions.

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.