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The literature review reveals that lake tourism and lake-destination areas (LDA) have been particularly absent from destination image (DI) studies over 45 years of research. In fact, there is a lack of research concerning the characteristics of lake tourism, particularly related to the attributes involved in the formation of lake-DI. Therefore, this paper aims to explore lake tourism and lake-DI based on the Alqueva Lake more thoroughly, it being the biggest man-made lake in Europe, as an emerging lake-destination area located in the south of Portugal.

Within this, the perceptions of stakeholders professionally involved with this type of destination were examined through 17 semi-structured interviews based on content-analysis as a qualitative technique. Framed by the important contribution of visual-based research in tourism studies, this study adopts two approaches: an attribute-based approach (textual data) and a photo-based approach (visual data), to strengthen the concept, characteristics and dimensions of lake tourism and image attributes applied to this type of destinations. Multiple techniques of extracting data were used, demonstrating the importance of using various techniques in obtaining image attributes as a first step in assessing DIs.

The findings revealed textual and pictorial attributes related to lake tourism and LDA, which confirms that although image attributes are universally important, depicting specific attributes is important considering particular types of tourism, such as lake tourism.

This is a very recent sub-field of DI studies, which justifies its investigation on a theoretical as well as on a practical management level.

The academic background of tourism marketing dates back to the 1960s. There had been a slight increase in its capacity until the early 1990s. However, since then, it has boomed, reaching thousands of scientific journal articles and tens of scientific books published only in English each year. Therefore, this study aims to present how tourism marketing has progressed academically within the past 60 years over four waves and how this progress may move forward as the next wave.

A bibliometric analysis grounds this study, which characterizes the past and present of tourism marketing research and anticipates the future. Content analysis, such as word clouds and social network analysis, was adopted to identify topic clusters and their connections. A total of 9,239 articles published between 1969 and 2024 were extracted from Scopus. Software packages such as VOSviewer were used to determine connections within topics.

The authors have assessed the findings broadly. Four waves were from the late 1960s to the first quarter of 2000. In spite of the limited size of papers at the early stage, the last wave saw a boom and a diversified number and category of subjects studied. In each wave, new subjects were added to broaden the picture.

The discussion of findings is based only on those scientific papers published in English since 1969 but excludes the whole list of textbooks. Subsequent research should also consider all papers and textbooks released in different languages to have the broadest picture assessment worldwide.

The study conveys various suggestions for industry practitioners and policymakers to focus on carefully assessing trends in marketing tourism services and how these may be shaped shortly. This may help practitioners and policymakers redesign their services and marketing strategies in light of future developments.

This study continues a recent study published by Kozak (2023) that has been elaborated, particularly from the industry perspective. The current study examines the academic profile of all subjects investigated in the case of tourism marketing, but mainly in an academic sense. Accordingly, this paper outlines the facts and trends researchers may follow throughout the research frame published in the past six decades.

旅游营销的学术背景可以追溯到20世纪60年代。在20世纪90年代初之前, 旅游营销的研究能力有所提升, 但增幅有限。然而, 自那时起, 旅游营销领域迅速发展, 每年仅用英文发表的期刊文章已达到数千篇, 出版的书籍也达到了数十本。因此, 本研究旨在展示过去60年内旅游营销研究在学术上的发展历程, 分为四个浪潮, 并探讨未来可能出现的下一个发展浪潮。

本研究以文献计量分析为基础, 描述了旅游营销研究的过去和现在, 并预测了未来的发展。采用内容分析方法, 如词云和社交网络分析, 确定了主题集群及其相互联系。从Scopus数据库中提取了1969年至2024年间发表的9,239篇文章, 并使用VOSviewer等软件包确定了主题之间的联系。

我们对研究结果进行了广泛的评估。从20世纪60年代末到2000年的第一季度, 共出现了四个浪潮。尽管早期阶段的论文数量有限, 但在最后一个浪潮中, 研究主题的数量和类别均呈现出爆炸式增长。在每个浪潮中, 均有新的研究主题被引入, 使得研究广度得以拓宽。

本研究的讨论结果仅基于自1969年以来用英文发表的科学论文, 不包括书籍。后续研究应考虑不同语言发布的所有论文和书籍, 以获得全球范围内最广泛的评估图景。

对行业从业者和政策制定者的建议集中在审慎评估旅游服务营销趋势及其未来可能的变化上。这可能有助于从业者和政策制定者在未来发展背景下重新设计其服务和营销策略。

本研究延续了Kozak（2023）最近发表的以行业视角为主的研究, 从学术角度全面考察了旅游营销领域内所有被研究主题的学术轮廓。具体而言, 本论文概述了过去六十年间已发表研究框架中的事实和趋势, 为研究人员提供可遵循的指导。

Los antecedentes académicos del marketing turístico se remontan a la década de 1960. Hasta principios de la década de 1990 se produjo un ligero aumento de su capacidad. Sin embargo, desde entonces ha experimentado un gran auge, alcanzando miles de artículos de revistas y decenas de libros publicados solo en inglés cada año. Por lo tanto, este estudio pretende presentar cómo ha progresado académicamente el marketing turístico en los últimos 60 años, a lo largo de cuatro oleadas, y cómo este progreso puede avanzar como la siguiente oleada en el futuro.

Un análisis bibliométrico fundamenta este estudio, en el que se caracteriza el pasado y el presente de la investigación en marketing turístico y se anticipa el futuro. Para identificar los grupos temáticos y sus conexiones se adoptaron análisis de contenido, como nubes de palabras y análisis de redes sociales. De Scopus se extrajeron nueve mil doscientos treinta y nueve artículos publicados entre 1969 y 2024. Se utilizaron paquetes de software, como VOSviewer, para determinar las conexiones dentro de los temas.

Hemos evaluado los resultados a grandes rasgos. Hubo cuatro oleadas, desde finales de los años sesenta hasta el primer trimestre de 2000. A pesar del limitado número de trabajos de las primeras oleadas, en la última se produjo un auge y una diversificación del número y la categoría de los temas estudiados. En cada oleada se añadieron nuevos temas para ampliar el panorama.

El análisis de los resultados se basa únicamente en los artículos científicos publicados en inglés desde 1969, pero excluye toda la lista de libros de texto. En futuras investigaciones deberían incluirse todos los artículos y libros de texto publicados en otros idiomas para ofrecer un panorama lo más amplio posible a nivel mundial.

Las recomendaciones para los profesionales del sector y los responsables políticos se centran en evaluar con detenimiento las tendencias en la comercialización de los servicios turísticos y en cómo pueden evolucionar en un futuro próximo. Esto puede ayudar a los profesionales y a los responsables políticos a rediseñar sus servicios y estrategias de marketing teniendo en cuenta la evolución futura.

Este estudio se basa en uno anterior, publicado recientemente por Kozak (2023), que se desarrolló específicamente desde la perspectiva de la industria. El presente estudio examina el perfil académico de todos los sujetos estudiados en el caso del marketing turístico, pero principalmente desde una perspectiva académica. En consecuencia, en este trabajo se esbozan los hechos y tendencias que los investigadores pueden seguir a lo largo del marco de investigación publicado en las últimas seis décadas.

Considering the importance of the content created by the host for Airbnb consumers while making purchasing decisions, this study aims to analyze how the Airbnb hosts promote their properties by revealing the predominant attributes considered by hosts when advertising them.

The unstructured textual content of online Airbnb accommodations advertisements (property descriptions) is analyzed through a longitudinal text mining approach. This study defines a pipeline based on a topic modeling approach that allows not only to identity the most prevalent text attributes but also its distribution through time.

This research identifies and characterizes the attributes most advertised over time, on about 30,000 accommodations posted monthly over two years, between 2018 and 2020. Five main topics were identified in the data reflecting only pull motivations. Noteworthy is the slight changes in properties’ descriptions topics along the two years, suggesting that “service” is increasingly being perceived by hosts as an important attribute of Airbnb guest experience.

Through a text analysis, this study provides an insight into peer-to-peer accommodation on the key attributes that hosts consider in the description of their properties to leverage the attractiveness of Airbnb. In the light of existing research, which has predominantly focused on the trustworthiness and attractiveness of the Airbnb advertisement, this research differentiates by analyzing the main attributes in text over time. Given the Airbnb’s changes since its inception, a longitudinal view is relevant to clarify how hosts advertise their properties and how it evolves in the light of these changes.

The purpose of this study is to develop and test a practical model to identify a developing destination’s assets. Using the existing destination branding concepts and theories in the research, this study aims to identify how the assets of a developing destination differ from those of a developed destination.

The study followed the “practical model for determining destination assets” proposed in the article. The first stage includes collecting the information on the tourism potential of the destination. In the second stage, in-depth interviews were carried out with information carriers of a developing destination and analyzed by highlighting keywords in the responses. The following stages include the questionnaire survey, factor analysis and segmentation analysis.

The following conclusions can be drawn from the results of the study. First, the assets of a developing destination, recreation areas, attractive visitor facilities and obligatory additional services are rational. Second, the assets used for destination branding are based on their unique character. According to the analysis results, the Almaty region’s unique character is associated with natural resources. The direction of recreation in the Almaty region boils down to two components: cognitive tourism and sports tourism.

The study was conducted during the COVID-19 pandemic. First, given that external tourism faced significant constraints during the pandemic, we must acknowledge that a study of destination branding may be more appropriate before or after the pandemic. Second, the survey was conducted online in connection with the introduction of quarantine measures. Third, the assets of a developing destination were selected based on the results of the interviews. In future studies, including other attributes may allow the identification of new assets for branding.

The practical destination branding model presented in the study has practical implications for destination authorities. Using the proposed model, assets of other destinations can be identified. In addition, the results of the analysis of the Almaty region as a developing destination will be effective for destination authorities in developing their tourism programs. Recreation areas, attractive tourism facilities and obligatory additional services can be used in destination branding.

This study drew on the experience of the population’s ambassador activity. The in-depth interview was obtained from the destination’s tourism informants, and the survey aimed to identify public opinion. The residents who participated in the interview and survey perform an ambassadorial function in strengthening the identified assets of the destination and implementing tourism programs. Accordingly, there is a growing sense of pride in being a resident of the destination.

The study has both theoretical and practical significance with the following results. First, it provides insights on enhancing public participation from the beginning of the destination branding process and respecting the continuation of its ambassadorial activities, provided that the identified destination assets are rational. Second, destination asset associations for developing destinations are presented. Third, the study creates a realistic picture of the Almaty region as a destination for visitors and destination authorities.

This study aims to identify residents’ perceptions of the impacts of Airbnb through an exploratory study that accounts for 94 residents in Lisbon, Portugal, in neighbourhoods with a high number of accommodations listed on the Airbnb platform.

A quantitative research was conducted. A questionnaire was designed and administered within the selected neighbourhoods. Factor analysis using the principal component methods is used to reduce the items evaluated.

The study reveals that residents have perceptions of both agreement and disagreement towards the impacts of the sharing economy in economic, environmental and sociocultural aspects. Positively perceived impacts refer to interactions with tourists, natural preservation and increase in business and job opportunities. Conversely, the growth of rent prices, the increase in noise issues, the change in the local culture and the threat of losing authenticity and traditions are the dimensions that may lead to negatively perceived impacts towards Airbnb.

In spite of being the largest network for sharing accommodation, Airbnb is not the only one. Research on individual perceptions analyses the understandings of each person, which can be built and shaped by the context. In spite of the potential of the Likert scale, qualitative research should be added to enrich future studies.

This study identified several challenges for Airbnb and other sharing platforms, including residents’ concerns over noise, the threat of losing identity, changes in the local culture and rise in rent prices.

The study is dedicated to analyzing the host community residents and identifying their perceptions of impacts of the sharing economy. The use of residents’ perceptions provides useful insights that may be considered when planning, developing and implementing local policies.

Music festivals offer new opportunities for leisure and tourist experiences in Portugal. Some tourists and residents, the so-called festival goers, participate and come back to these events, whereas others, the non-goers, never participate and are not willing to do so. The aim of this research is to understand the decision to participate or not based on facilitators and constraints to participate or not in a music festival, dismantling residents and tourists' attitudes.

Data were collected from 1,178 music festival goers and non-goers in Portugal. Content analysis was undertaken to depict the most important determinants of their decisions. Those determinants were categorized according to the three dimensions of factors of ecological systems theory, considering festival goers and non-goers as well as tourists and residents.

The results suggested that although constraints are not as often voiced as facilitators, both influence decisions that are expressed as delaying, postponing, avoiding or complying with others by participating in these events. Furthermore, the results suggested that the decision to participate or not depends on the social contexts of the festival goers or non-goers, and that these social contexts may invert their decision, be it by facilitating or constraining their participation.

This research is limited to festivals in Portugal and used a qualitative analysis that may be confirmed in other countries with quantitative methods. Nevertheless, this research opens paths to discuss facilitators and constraints through ecological system theory and gives insights into this industry.

The results provide important insights for festival organizers to retain and build long-term relationships with festival goers. The results also provide insights into how to overcome the resistance which non-goers demonstrated.

This research offers an in-depth and insightful understanding of individuals' attitudes towards music festivals, allowing festival demand to be better understood. Furthermore, this research proves that attendance of music festivals is mostly a socially driven behaviour.

By eliciting facilitators and constraints of the decision to participate in music festivals, considering residents and tourists, festival goers and non-goers, this study provides a deeper understanding of the decision to participate, through a theoretical framework which is rarely applied in this field.

The purpose of this study is to define a model of social technology diffusion, comprising constructs that explain guests’ likelihood of recommending their hotel loyalty program to their peers.

The diffusion effect is explained by commitment-trust, satisfaction with user-to-user interactivity, satisfaction with user identifiability and word of mouth. A total of 2,812 usable responses were obtained through an online questionnaire sent to guests with two or more transactions with the loyalty program.

The results suggest that commitment and trust and word of mouth are crucial to enact social diffusion. As such, hotel loyalty programs need to be leveraged through enacting social diffusion.

Tourism and hospitality practitioners dealing with loyalty programs should create and post new trustworthy content that might be beneficial for the hotel loyalty program in their efforts to provide a more valuable experience for guests.

The paper provides empirical evidence that the likelihood of sharing with other guests or the intention to belong to a hotel loyalty program community exists and then goes on to offer a range of possible responses based upon four relational mediators.

This paper aims to understand the most efficient hotel system and why efficiency varies across years and between the two differing types of hotel businesses in Turkey.

A data envelopment analysis (DEA) analysis was used to characterise the efficiency of all-inclusive (AI) and bed and breakfast (B&B) hotel businesses with one output (total revenue) and three inputs (labour, food and capital costs). The Malmquist approach is then used to discern changes in total efficiency (TTE) and intertemporal shifts in the efficiency frontier (technological change (Tch)).

The results reveal that the AI hotel operates at 100% efficiency in the summer and year-round. The B&B hotel business operates at 89.6% with variable constant returns to scale during the summer and with 100% efficiency. The results of the Malmquist approach indicate that the total factor productivity grew in the years 2015, 2016, 2018 and 2019, while the other years were marked by inefficiency. Such increases were due to technical efficiency change (TEch) and Tch, which means that managerial and allocative efficiency (AE) were barely achieved. Slight differences were noted in the two time periods (all year and summer), suggesting that the scale of hotel businesses is prepared to operate all year round, and this calls for strategies to mitigate seasonality.

As to avenues for future research, the limitations of this study are threefold. First, the hotel businesses are not parallel in terms of the duration of their service offerings. Future research may consider including an AI hotel business that is in operation for the whole year. Second, businesses in Turkey are sceptical about sharing their data as it is considered confidential. However, to better generalise the results and encourage hoteliers to consider the positive outcomes of such analysis, the number of observations could be increased by considering more hotel businesses in both categories. Third, a mixture of data representing businesses operating in various countries may reflect if the efficiency scores vary internationally.

Overall, AI hotel businesses are more attractive but less efficient than B&B. Furthermore, the external crisis impacts the efficiency of hotel businesses meaning that hotel managers could keep on exploring AI, perhaps educating their hosts not to waste or not offer huge quantities. Hotel managers may also need to enlarge their seasonal activities to ensure more efficiency.

Despite the intentions of AI hotel businesses to increase their profitability with a lower level of service quality, this study shows that the AI hotel business is very attractive but not so efficient due to the higher propensity of guests to consume food and beverages in excess that compromises the definition of efficiency as zero waste. AI is very attractive for family groups or those seeking the pleasure of relaxation at seaside resorts and is also very popular in Turkey. On the other hand, the B&B hotel business is more efficient but less attractive.

The contributions of this paper are threefold. First, the authors analysed the efficiency and inefficiency of hotel businesses within nine years of operations. During this period, Turkey experienced first a tourism boom (2011–2014) followed by stagnation and subsequently a sharp decline due to political instability resulting in an (in)direct impact on tourism (2015–2019). Second, the authors compared the efficiency and inefficiency of AI and B&B hotel businesses. Third, the authors examined the effects of hotel management factors to ensure efficiency.

This paper aims to study the decision‐making processes of Portuguese tourists traveling to South America and Africa destinations by developing a conceptual framework that focuses on information sources, motivations, perceptions, satisfactions, and behavioral intentions.

The study applies a structural model that looks to explain the factors behind decision making and the relationships present. The relationships are observed in detail through the application of a categorical principal component analysis.

The results of the empirical study show that behavioral intentions precede emotional and cognitive satisfaction, which in turn, are explained through perceptions and motivations. Tourists perceive tourism destinations as places of leisure although little information is available on existing facilities and core attractions.

The study has the restriction of being limited to the Portuguese tourists. However, these findings open paths for further investigation, namely extending to other destinations and to tourists with different motivations.

This study contributes to the overall understanding of the decision‐making processes of tourists. Specifically, the decision processes is assess by considering two stages: the pre‐purchase stage and the post‐purchase stage. These two phases were analyzed in order to understand how people decide to travel to a certain destination.