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Digitalization accelerates the need of tourism and hospitality ecosystems to reframe business models in line with a data-driven orientation that can foster value creation and innovation. Since the question of data-driven business models (DDBMs) in hospitality remains underexplored, this paper aims at (1) revealing the key dimensions of the data-driven redefinition of business models in smart hospitality ecosystems and (2) conceptualizing the key drivers underlying the emergence of innovation in these ecosystems.

The empirical research is based on semi-structured interviews collected from a sample of hospitality managers, employed in three different accommodation services, i.e. hotels, bed and breakfast (B&Bs) and guesthouses, to explore data-driven strategies and practices employed on site.

The findings allow to devise a conceptual framework that classifies the enabling dimensions of DDBMs in smart hospitality ecosystems. Here, the centrality of strategy conducive to the development of data-driven innovation is stressed.

The study thus developed a conceptual framework that will serve as a tool to examine the impact of digitalization in other service industries. This study will also be useful for small and medium-sized enterprises (SMEs) managers, who seek to understand the possibilities data-driven management strategies offer in view of stimulating innovation in the managers' companies.

The paper reinterprets value creation practices in business models through the lens of data-driven approaches. In this way, this paper offers a new (conceptual and empirical) perspective to investigate how the hospitality sector at large can use the massive amounts of data available to foster innovation in the sector.

Climatic extreme events are predicted to occur more frequently and intensely and will significantly threat the living of residents in arid and semi-arid regions. Therefore, this study aims to assess climatic extremes’ response to the emerging climate change mitigation strategy using a marine cloud brightening (MCB) scheme.

Based on Hadley Centre Global Environmental Model version 2-Earth System model simulations of a MCB scheme, this study used six climatic extreme indices [i.e. the hottest days (TXx), the coolest nights (TNn), the warm spell duration (WSDI), the cold spell duration (CSDI), the consecutive dry days (CDD) and wettest consecutive five days (RX5day)] to analyze spatiotemporal evolution of climate extreme events in the arid Sahara-Sahel-Arabian Peninsula Zone with and without MCB implementation.

Compared with a Representative Concentration Pathways 4.5 scenario, from 2030 to 2059, implementation of MCB is predicted to decrease the mean annual TXx and TNn indices by 0.4–1.7 and 0.3–2.1°C, respectively, for most of the Sahara-Sahel-Arabian Peninsula zone. It would also shorten the mean annual WSDI index by 118–183 days and the mean annual CSDI index by only 1–3 days, especially in the southern Sahara-Sahel-Arabian Peninsula zone. In terms of extreme precipitation, MCB could also decrease the mean annual CDD index by 5–25 days in the whole Sahara and Sahel belt and increase the mean annual RX5day index by approximately 10 mm in the east part of the Sahel belt during 2030–2059.

The results provide the first insights into the impacts of MCB on extreme climate in the arid Sahara-Sahel-Arabian Peninsula zone.

This paper aims to address the following questions: What is the impact of the pandemic on the hospitality industry in South Africa? Which innovations and strategies are in place to rebuild hospitality in South Africa?

This article emanates from the resent pandemic situation, and it is structured to include conceptual information drawn from the literature, empirical study and industry observation. These were conducted in 2020 and 2021 using, concepts from the literature, online questionnaires and observation to gather data about the impact of COVID-19 on hospitality operations across South Africa.

Historically literature shows that the hospitality industry positively impacts the economy and employment However, the pandemic greatly affected these contributions. The findings reported in the empirical study revealed that the pandemic affected business operations and employment and caused financial hardship for the industry.

There are relatively few studies that report on the issues relating to the pandemic and the hospitality industry in South Africa. This paper contributes to the literature regarding a pre-COVID-19 overview, the impact of the pandemic and the innovations and strategies in place to rebuild the hospitality industry.

A leading characteristic of international tourists at every tourist destination is their role as foreign–income disseminator, and a large number of papers have been dedicated to exploring their behavior. In contrast, this paper aims to shed light on the supply-side of tourism through the study of a hotels’ ability to internationalize their businesses.

Based on each hotel’s input data, its efficiency was estimated by a data envelopment analysis approach. Then, the hotel’s intensity of demand from foreign guests was regressed against hotel efficiency along with firm’ control variables.

Results from Heckman correction model indicate that ordinary least squares regression would be subject to selection bias, and the results from the correction model strongly indicate a positive linkage between the hotel’s efficiency level and its foreign to total guest ratio, especially in the sub-sample of hotels located in non-tourist destinations. In addition, the results also reveal that the availability of certain services and facilities at hotels are positively related to the number of foreign guests, namely, a spa service and swimming pools.

Therefore, the main implications from this study are twofold. First, if a hotel’s target market is international travelers, a swimming pool and the availability of a spa service are essential features for hotels in Thailand. Second, policies to improve productivity in hotels should be simultaneously implemented along with tourist-destination-promotion campaigns to optimize the economic impact of international tourist arrivals.

There is a gap in understanding with regards to the discrimination and prejudice experienced by gay entrepreneurs. To address this, an intersectional perspective is adopted to facilitate a better understanding of how lesbian and gay entrepreneurs may experience heterosexism.

This qualitative study uses semi-structured interviews to explore the experiences of 14 lesbian and gay entrepreneurs as they navigate homophobia and heterosexism.

The study contributes novel insights to the field of entrepreneurship, extending the study of lesbian and gay entrepreneurs to include gender and a fine-grained analysis of the experience of heterosexism. Its inclusion of an intersectional perspective of the lesbian-female entrepreneur expands the emerging body of literature examining intersectional identities of minority entrepreneurs.

The authors provide a more nuanced understanding of the impact of heterosexism on LGBT+ entrepreneurial activities. This is facilitated by the authors' adoption of an intersectional perspective which shows how the different axes of identity influenced gender identity performance in relation to the model of perceived neutrality in LGBT+ entrepreneurship. The authors also make an original contribution to minority stress literature through the authors' exploration of one facet of minority entrepreneurship, namely the impact of heterosexism on LGBT+ entrepreneurial activities.

This chapter focuses on clarifying the cooperation and convergence between tourism and audiovisual (AV) sectors in Hamburg and Riga. In light of increasingly easier and more accessible travel, the tourism sector is a growing trend in most countries and regions. To what extent does this affect cooperation with the AV sector? The chapter gives an overview of different types of cooperation in these regions and brings out the main obstacles for innovation. When describing the innovation systems, focus is put on institutional frameworks in these two regions. We end by arguing that raising the demand for innovation in the tourism sector is a real challenge and demonstrating that the public sector plays an important role in driving the cross-innovation processes between the observed sectors.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

The purpose of this paper is to investigate the potential effects of the so-called sharing economy on growing city tourism as well as on urban property markets.

Official statistical data and a geo-information system (GIS) are used on a small scale in order to identify concentration processes among overnight visitors and the potential concomitant conflicts with other interest groups.

Currently, the effects of the sharing economy on housing markets and city tourism are barely measurable and are limited to a few central locations. However, a growing demand can be discerned in housing-like accommodation concepts which can be operated via booking platforms. As there is likely to be strong future growth in this area, continuous market observation (monitoring) is urgently advised.

Official statistics only allow an analysis of overnight guests staying with larger accommodation providers. Booking platforms for holiday homes and other temporary accommodation options have such little interest in data transparency that the overall phenomenon of city tourism can be addressed only in part.

Associating various data within the GIS enables municipal administrators and urban planners to identify potential sources of conflict within the property markets in good time and effectively counteract these where possible.

Increases in property prices directly attributable to growing city tourism may lead to the displacement of less financially secure members of the established population as well as businesses.

The sharing economy is a relatively new research topic which will become increasingly important in future. The identification of potential sources of conflict due to tourist accommodation has therefore not yet been comprehensively carried out on a small scale.

This paper aims to investigate the interplay of memorable tourism experiences (MTE) dimensions in driving behavioral intentions of heritage tourists through the mediating role of satisfaction.

Empirical data were collected from tourists in the heritage city of Kashan, Iran. Partial least squares-structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were applied to analyze the data.

The results of PLS-SEM showed that three dimensions of MTE as follows: local culture, involvement and knowledge, significantly directly or indirectly influence tourists’ behavioral intention toward a destination. However, the results of fsQCA identified greater heterogeneity among the respondents by highlighting the positive effects of hedonism and novelty on satisfaction and revisit and word-of-mouth intentions.

This study enriches the empirical evidence on MTE by constructing a composite picture of the memorability of tourists’ experiences within a heritage tourism context. This study is one of the first to investigate the effects of dimensions of MTE on behavioral intentions using both symmetric (PLS-SEM) and asymmetric approaches to identify the more significant dimensions of MTE, as well as sufficient combinations of dimensions to predict behavioral intentions.

本文旨在研究难忘旅游体验 (MTE) 各维度通过满意度这个中介变量来驱动遗产旅游游客行为意图的机制

实证数据是从伊朗遗产城市卡尚的游客那里收集的。本研究采用偏最小二乘结构方程模型（PLS-SEM）和模糊集定性比较分析（fsQCA）对数据进行分析

偏最小二乘结构方程模型的研究结果表明，难忘旅游体验（MTE）的三个维度：当地文化、参与度和熟悉程度，显著地直接或间接地影响游客对目的地的行为意向。然而，模糊集定性比较分析的研究结果表明受访者间存在更大的异质性，其结果凸显了享乐主义和新鲜感对满意度、重游意向和口碑(WOM)意向的正效应

本研究通过构建遗产旅游背景下游客体验难忘性的相互影响机制，丰富了关于难忘旅游体验（MTE）的实证研究证据。本研究是第一个同时使用对称方法（PLS-SEM）和非对称方法（fsQCA）来探究MTE各维度对行为意向的影响的研究之一，通过这种方式可以识别出MTE各维度中更为重要的维度以及维度组合，以此来预测行为意向

Este artículo investiga la influencia de las dimensiones de las experiencias turísticas memorables (ETM) en el fomento de las intenciones de comportamiento de los turistas del patrimonio a través del papel mediador de la satisfacción.

Se recogieron datos empíricos de turistas en la ciudad patrimonial de Kashan, Irán. Para analizar los datos se aplicaron las técnicas partial least squares – structural equation modeling (PLS-SEM) y fuzzy-set qualitative comparative analysis (fsQCA).

Los resultados que proporcionó el análisis PLS-SEM mostraron que tres dimensiones de las ETM: cultura local, implicación y conocimiento, influyen significativamente, de forma directa o indirecta, en la intención de comportamiento de los turistas hacia un destino. Sin embargo, los resultados del enfoque fsQCA identificaron una mayor heterogeneidad entre los encuestados al destacar los efectos positivos del hedonismo y la novedad sobre la satisfacción y las intenciones tanto de volver a visitar el destino como de realizar una comunicación de boca a boca (WOM).

Este estudio enriquece la evidencia empírica sobre las ETM al construir una imagen combinada del carácter memorable de las experiencias de los turistas dentro de un contexto de turismo patrimonial. Este estudio es uno de los primeros en investigar los efectos de las dimensiones las ETM en las intenciones de comportamiento utilizando enfoques simétricos (PLS-SEM) y asimétricos para identificar las dimensiones más significativas las ETM, así como para determinar las combinaciones necesarias de dimensiones para predecir las intenciones de comportamiento.

Homestay is an alternative product to mass tourism where tourists are accommodated with local family allowing the tourist to learn local culture and lifestyle. The changing tourists' preferences influence the phenomenon of this accommodation trend for unique experiences, increasing competition in the market, and the rapid development in communication technology. This paper aims to observe the current state of the homestay situation in Brunei. This research utilized qualitative in-depth semi-structured interviews with a total sample of 23 respondents consisting of homestay operators, local community and tourism officers. The findings are that homestay in Brunei experienced issues with licensing and standards due to unending bureaucracy and unclear instructions, an elusive search of successors for long-term sustainability, and issues on participatory management within the community. This paper contributes valuable insights to developing strategies for the sustainability of homestay tourism, particularly for the stakeholders involved, such as homestay operators, policymakers and tourism practitioners.