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Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

This study developed a theoretical model to test the relationship between digital capability and Industry 4.0 (I4.0) and its effect on innovation performance in small and medium-sized enterprises (SMEs).

The proposed theoretical model was evaluated using partial least-squares structural equation modeling and fuzzy-set qualitative comparative analysis. The data were obtained from a sample of 536 SMEs in Chile.

The proposed model presented two dimensions of digital capability: management and information and communication technologies (ICTs). Management models composed of enterprise resource planning and customer relationship management systems are essential for optimizing organizational management. Meanwhile, ICTs facilitate the smooth flow of information within an organization, leading to improved efficiency in production processes. I4.0 is encouraged by exposing SMEs to base technologies such as data analytics. These results confirm that I4.0 influences innovation performance.

SME managers should encourage the development of digital capabilities to transition toward I4.0, as this can make SMEs more competitive and innovative in changing and dynamic scenarios.

I4.0 adoption and the development of digital capabilities can directly affect employment and national economic growth.

Most studies focus on the organizational factors affecting SMEs’ I4.0 adoption. They do not, however, address the role played by current digital capability in I4.0 technology adoption and its effect on firms’ innovation performance.

Este estudio desarrolló un modelo teórico para probar la relación entre la capacidad digital y la Industria 4.0 (I4.0) y su efecto en el desempeño de la innovación en pequeñas y medianas empresas (PYME).

El modelo teórico propuesto se evaluó mediante el uso de modelos de ecuaciones estructurales de mínimos cuadrados parciales y análisis comparativo cualitativo de conjuntos difusos. Los datos se obtuvieron de una muestra de 536 pymes de Chile.

El modelo propuesto presenta dos dimensiones de la capacidad digital: la gestión y las tecnologías de la información y la comunicación (TIC). Los modelos de gestión compuestos por sistemas de planificación de recursos empresariales y de gestión de relaciones con los clientes son esenciales para optimizar la gestión organizacional. Por su parte, las TIC facilitan el flujo fluido de información dentro de una organización, lo que conduce a una mejora de la eficiencia en los procesos de producción. La I4.0 se fomenta exponiendo a las PYME a tecnologías de base como el análisis de datos. Estos resultados confirman que la I4.0 influye en el rendimiento de la innovación.

La mayoría de los estudios se centran en los factores organizativos que afectan a la adopción de la I4.0 por parte de las pymes, pero no abordan el papel que desempeña la capacidad digital actual en la adopción de la tecnología I4.0 y su efecto en el desempeño innovador de las empresas.

Los gestores de las PYMES deben incentivar el desarrollo de capacidades digitales para realizar la transición hacia la I4.0, ya que esto puede hacer que las PYMES sean más competitivas e innovadoras en escenarios cambiantes y dinámicos.

La adopción de la I4.0 y el desarrollo de capacidades digitales pueden afectar directamente al empleo y al crecimiento económico nacional.

This study aims at understanding how higher education institutions (HEIs) can contribute to sustainable development, by designing their programmes for bringing about a transformative impact on communities and students, and also to examine what alternative pedagogical approaches could be used for that. In the past decades, HEIs have increasingly created social innovation (SI) programmes, as a way to achieve United Nations Sustainable Development Goals. These community-oriented and field-based programmes are difficult to ally with conventional classroom education. This study explores how these programmes could integrate the participatory approach and what would be the benefits. It also investigates the effectiveness of the experiential learning approach for teaching sustainability.

A case study method is used to document SI projects initiated by an HEI programme in rural India.

It was found that the participatory approach contributes to empowering communities and also benefits the students in terms of academic, professional and personal growth. Empirical findings show that experiential learning is an efficient method to teach sustainability. Ultimately, both pedagogical approaches are found to be mutually beneficial.

This study fills a gap in the literature, by providing empirical evidence on how HEI can implement innovative educational strategies such as participatory approach and experiential learning in their programmes towards teaching sustainability. A conceptual model for HEI interested in developing similar programmes is also proposed. To the best of the authors’ knowledge, this study is one of the first studies focusing on the context of Indian HEI.

The literature on the potential benefits of art investing has yet to consider the effects of categorizing world regional art markets (e.g. Latin American art) by artistic styles or movements (e.g. Latin American surrealism, Latin American conceptual art, etc.). We propose that such categorization should be carried out and analyze the Latin American art market as an example.

Eleven artistic style price indices within the Latin American art market (30,288 artworks created by 293 artists and sold at auction between 1970 and 2014) are estimated using hedonic regressions: Abstract-geometric, abstract-informal, conceptual, costumbrismo, cubism, figurative, muralism, landscape, surrealism, nineteenth century and avant-garde. We find that several variables that rely on the corresponding Latin American art movement index have a significant relationship with painting prices.

There is significant variation in the financial performance of the various price indices for Latin American art styles: the conceptual (10.33% annual real return), abstract geometric (1.97%), cubism (0.97%) and costumbrismo (0.91%) movements overperformed a market that exhibited an aggregate negative cumulated real return of 0.9% during the sample period. The average correlation between each of the styles was only 0.12. The estimated price index for paintings sold at Christie's and Sotheby's clearly outperformed the index estimated for the other auction houses, and we also found that paintings created by Latin American women artists yielded higher returns.

Our results have practical applications for investors, collectors, auction houses and policymakers.

This is the first paper to highlight the need to decompose art price indices by artistic movements at the regional level.

Police were key to enforcing and managing COVID-19 emergency orders, but many police services were not prepared for such an emergency. In Ontario, Canada, each service was responsible for crafting its own procedures for responding to the pandemic. This study synthesizes changes documented by Ontario-based services.

We conducted a qualitative thematic analysis of COVID-19-related documents (e.g. emails, guides and recommendations, orders, directives, policies and procedures, questionnaires and checklists and strategic plans) produced by 14 municipal police services across Ontario, Canada.

The documents reveal ways that police services were affected by the pandemic. These changes are organized into four themes: intra-organizational changes, officer wellness, inter-agency coordination and collaboration and community-police relations.

The study works with data from multiple police services to document the range of ways that policing changed to adapt to the pandemic. Understanding how police services navigated the pandemic facilitates preparedness for future civil emergencies.

This study aims to identify the key attributes of esports venues as perceived by spectators. Using the stimulus-organism-response framework, it also examines how these attributes influence customer experience, satisfaction and re-attendance intentions.

This mixed-methods research comprises two main stages. In the qualitative stage (Stage 1), we conducted a literature review, interviews with live esports event attendees and observations at two esports events to identify key esports venue attributes from spectators’ perspectives. In the quantitative stage (Stage 2), we recruited 564 esports game attendees at two live events to validate a measurement scale developed from the qualitative procedures. We also examined the relationships between venue attributes and the three spectator outcomes by using structural equation modeling.

Five key perspectives of esports venue attributes emerged from the qualitative analysis: (1) stage and stage lighting, (2) Internet infrastructure, (3) visibility of display screens, (4) concourse layout and (5) seating comfort. These dimensions were validated through exploratory and confirmatory factor analyses and were found to directly influence spectator experience and satisfaction, but not re-attendance intentions.

This study provides pioneering insights into the specific esports venue attributes that drive spectator outcomes. The findings offer valuable directions for future esports research and practical strategies for esports venue management.

The purpose of this paper is to examine community based, trauma informed to support refugee mental health and wellbeing, recognising that refugee status is met through forced displacement in which refugees have experience of personal human rights abuses and have survived atrocities in which family and community have been lost.

A co-production approach was taken to review existing literature and policy to produce a position statement on how to better meet the needs of people who experience mental distress who are refugees. The co-production was between refugee and mental health researchers and refugee representatives.

Understanding the mental health needs of refugees has conventionally focused on incidence of mental illness such as post-traumatic stress disorder and depression. If mental health and illness are understood as a continuum, diagnosis of mental illness indicates a significant problem, and furthermore access to services is predicated on risks associated with mental illness. When accessing mental health services, refugees have an added issue in a lack of communication availability and recognition of the trauma that they have survived.

In this paper, a different position is advocated, that understanding the mental health of refugees can be framed more effectively as a process of recovery from trauma that emerges during resettlement, and over a long period of time before people are able to talk about the trauma they experienced. Community-based responses that enable recovery from trauma are more readily able to meet the mental health and wellbeing needs of refugee communities.

The purpose of this study is to qualitatively explore the impact of family separation and transnational parenthood on Haitian migrant women’s mental health living in Santiago, Chile.

Sixteen in-depth interviews were conducted with Haitian men and women living in Santiago de Chile, and based on an inductive perspective, a thematic analysis was performed.

The process of family reunification has been specifically hard in the past years, therefore, almost no one has been able to bring their children to Chile despite having a permanent visa. An important aspect of their testimonies is that they feel guilty about having someone else taking care of their children, even though sometimes they are the ones financially supporting the entire extended family.

This study’s findings show how family separation, ransnational parenthood, and migration experiences particularly affect Haitian igrant women’s mental health and provides relevant information on its onsequences for their quality-of-life. However, it is surprising that having plans to move out was a protective factor against symptoms of depression.

This paper examines the application of the latest iteration of the Uppsala model to digital products by empirically investigating the role of app updates in an app’s internationalization.

We align the evolution of apps through updates in a foreign market with the evolutionary process anchored in the latest Uppsala model and empirically test the model using our data of 410 non-Korean apps launched in South Korea. Particularly, we estimate the effect of app updates on an app’s foreign market performance. For the analysis, we employ a multiple fixed-effects regression model utilizing our panel data.

We present empirical support for the application of the latest Uppsala model to digital products in the context of apps and demonstrate a positive association between app evolution through updates and successful internationalization. We find that one additional app update is associated with a 6.2% increase in the number of monthly active users in the foreign market. We further show that this effect is conditional on time since entry and cultural distance.

This paper is the first to empirically test the latest Uppsala model in a digital context. Specifically, our work contributes to the emerging literature studying the impact of digitization on internationalization. We also provide empirical evidence supporting the strategic use of app updates to facilitate internationalization.