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In recent years, tourists have been progressively increasing their interest in the natural environment and its enjoyment. The objective of this study was: (1) identify the underlying variables or motivational dimensions in ecotourism; and (2) analyze the demand segmentation in ecotourism.

The empirical analysis was carried out in “Puntilla de Santa Elena” Fauna Production Reserve in Ecuador. The sample consisted of 369 surveys obtained in situ. For the data analysis, a factor analysis and a nonhierarchical K-media segmentation were performed.

The results show six motivational dimensions in ecotourism: “Self-development and Interpersonal relationships,” “Building personal relationships,” “Escape and ego-defensive function,” “Marine nature,” “Terrestrial nature” and “Rewards.” Also, according to their motivations, three segments of ecotourists emerged: “Reward and escape,” “Marine nature” and “Multiple motives.”

The limitation is the temporality with which the study was carried out. Another limitation was the number of the samples used. As future lines of research, it is proposed to investigate the offer related to ecotourism products and services adapted to the demand segments found.

Among the practical implications, operators and companies linked to the tourism sector can plan more efficient strategies, adapted to the specific needs of each segment to improve the satisfaction of tourists and the intentions of returning to the destination, providing greater benefit to the tourists, to the sustainable development of the destination and the community.

The findings of this research can help public institutions and private companies to improve the tourism supply, create sustainable plans and potentially develop more efficient marketing planning. Protected areas will benefit from information about demand. The communities will be able to elaborate products according to the motivations and found segments. Administrators will be able to create sustainable management plans for ecotourism.

As ecotourism grows, it is vital to understand the ecotourists' motivations and segmentation to improve each segment service offering. This study presents original results of the motivations and segmentation of the demand for ecotourism based on a reserve area for the production of coastal marine fauna. To obtain valid results, a study was carried out in Ecuador, this being a country with a great variety of flora and fauna ideal for ecotourism.

The hospitality industry values segmentation and loyalty programs (LPs), but there is limited research on new methods for segmenting loyalty program members, so managers often rely on conventional techniques. This study aims to use big data-driven segmentation methods to cluster customers and provide a new solution for customer segmentation in hotel LPs.

Using the k-means algorithm, this study examined 498,655 profiles of guests enrolled in a multinational hotel chain’s loyalty program. The objective was to cluster guests according to their consumption behavior and monetary value and compare data-driven segments based on brand preferences, demographic data and monetary value with loyalty program tiers.

This study shows that current tier-based LPs lack features to improve customer segmentation, and some high-tier members generate less revenue than low-tier members. Therefore, more attention should be given to truly valuable customers.

Hotels can segment LP members to develop targeted campaigns and uncover new insights. This will help to transform LPs to make them more valuable and profitable and use differentiated rewards and strategies.

As not all guests or hotel brands benefit equally from LPs, additional segmentation is required to suit varying guest behaviors. Hotel managers can use data mining techniques to develop more efficient and valuable LPs with personalized strategies and rewards.

High-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the semantic segmentation task challenging. In this paper, a bidirectional feature fusion network (BFFNet) is designed to address this challenge, which aims at increasing the accurate recognition of surface objects in order to effectively classify special features.

There are two main crucial elements in BFFNet. Firstly, the mean-weighted module (MWM) is used to obtain the key features in the main network. Secondly, the proposed polarization enhanced branch network performs feature extraction simultaneously with the main network to obtain different feature information. The authors then fuse these two features in both directions while applying a cross-entropy loss function to monitor the network training process. Finally, BFFNet is validated on two publicly available datasets, Potsdam and Vaihingen.

In this paper, a quantitative analysis method is used to illustrate that the proposed network achieves superior performance of 2–6%, respectively, compared to other mainstream segmentation networks from experimental results on two datasets. Complete ablation experiments are also conducted to demonstrate the effectiveness of the elements in the network. In summary, BFFNet has proven to be effective in achieving accurate identification of small objects and in reducing the effect of shadows on the segmentation process.

The originality of the paper is the proposal of a BFFNet based on multi-scale and multi-attention strategies to improve the ability to accurately segment high-resolution and complex remote sensing images, especially for small objects and shadow-obscured objects.

This study attempts to identify and explicate the unique segmentation of the increasingly growing virtual reality (VR) user market based on the user experience. Consequently, it collects five hundred forty-five online survey questionnaires through the Prolific platform and deploys cluster analysis to identify mutually exclusive groups of VR users. The research variable, user experience, contains 16 indicators explained by four dimensions. As a result, this study is able to unveil three mutually exclusive markets which are labeled as (1) beginner, (2) aficionado, and (3) utilitarian. The unique features of these three groups are further compared based on their VR tour behaviors. In the conclusion section, it offers managerial implications for devising novel marketing strategies.

The study aims to explore the intellectual structure of wellness tourism (WT) research by performing a two-phase methodological approach.

Citation and co-citation analysis were performed on 209 articles published up to October 2021 in Scopus, and the results were visualised with the VOSviewer software. Furthermore, to assess clusters in-depth, qualitative thematic content analysis was used.

The findings indicate that the main articles of WT research examine the demand side of WT. Five clusters were explored by co-citation analysis. Each cluster is discussed by presenting the main theme, key theoretical framework, and characteristic methodological perspective. Accordingly, no dominant theory stands out in research on wellness tourism. Most of the study has been done through cross-sectional surveys.

The authors anticipate that by the recommendations outlined in this study, WT research will progress and provide significant insights to WT practitioners in the coming years to meet tourist expectations.

Via this research, which shows the discovery of the intellectual structure of WT and its holistic picture, the deficiencies in the picture will be seen, and practitioners will be provided information based on evidence.

With rapidly changing marketing landscape, nowadays, the formulation of various marketing strategies is increasingly focused on how consumers tend to make decisions. To meet the highly demanding consumer expectations, market segmentation can be used as an important marketing strategy. Due to gender marketing concept familiarity in the contemporary world, gender difference is one of the reference features in the process of market segmentation for marketers. This research is aimed to examine various determining factors that foster consumer purchase decision-making and the differences between consumers of different genders while making shopping and purchase decisions with special reference to an emerging economy, i.e. Pakistan.

Based on a cross-sectional sample of 367 consumers, the study adapted Sproles and Kendall's (1986) Consumer Style Inventory (CSI) to scrutinize the decision-making of both genders in Pakistan. For data analysis, the exploratory and confirmatory factor analysis in addition to the structural equation modeling has been used.

The study emphasized that, with the exception of quality awareness, brand consciousness, fashion consciousness, option overload and price consciousness greatly affect buying decisions. In addition, when it comes to consumer purchase decision-making, significant gender variations were discovered for both fashion consciousness and price consciousness.

Drawing upon the distinctive cultural characteristics of Pakistan and its people, in-depth research was conducted on purchasing behaviors of Pakistani consumers and the decision-making characteristics of customers of different genders were summarized. The outcomes are expected to make a significant contribution to the field of gender marketing by organizations.

This paper seeks to understand the interrelationships between destination attractiveness, satisfaction, attachment and visitors' loyalty and to determine the potential moderating effect of generational cohorts. Using expectancy disconfirmation and generational cohort theories, the paper explains how visitors' cognitive knowledge and motivation factors influence international visitors' attraction and maintenance and their behavioral/attitudinal loyalty.

Data were collected from 390 international visitors to South Africa during the Southern Hemisphere's summertime via a quantitative research method. A two-stage approach of structural equation modeling was used to analyze the hypothesized model.

There was no relationship between visitors' loyalty and destination image or destination image and destination trust. However, destination image has a significant effect on visitors' satisfaction. Additionally, visitors' experience had a positive effect on satisfaction and loyalty, while destination trust and destination attachment were positively related.

The findings show that the tourism sector could reap greater benefits from international tourists if a deeper understanding of different generational cohorts was obtained. There was a varying effect of destination marketing organizations' efforts on different generational cohorts' attraction, trust, satisfaction, feelings and expectations. This study proposes that direct marketing organizations should focus on building brand trust, as it is key to attracting different generational cohorts. Lastly, the study found that generational cohort segmentation accrues many benefits and creates and enhances superior advantages.

The paper provides evidence that more than a destination's attractiveness is required to achieve loyalty; segmenting and understanding different generational cohorts' cognitive, affective and motivation aids in generating better response actions to tourists' changing needs and meeting their demands.

Catering services play important role in the Spanish economy, accounting for 6.2% of GDP in 2021. To overcome the adverse economic impacts of COVID-19, catering services are considered one of the drivers to stimulate economic growth. Hence, the main aim of this paper is to analyse the sociodemographic profile of the family's main breadwinner who allocates most of his expenditure budget on different catering services before and during the pandemic caused by the COVID-19 in Spain.

The official Family Budget Survey in Spain was used. This offers information on expenditure by families in 2019 and 2020. CHAID multivariate analysis was employed. This has proved a valuable tool in predicting expenditure, as well as determining the cause–effect relationship of this expenditure.

Findings establish the main breadwinner's expenditure on catering services based on predictors such as “year” affected by the pandemic; “type of employment contract”; “gender”; and “age”. A gender “pub-gap” in consumption in bars and cafes has been revealed, and families with a male breadwinner, on a permanent contract, between the age of 40 and 60 spent the most on catering services.

This research presents a new interdisciplinary approach to family breadwinners as a company whose spend on catering is shaping the economic recovery and leading to new answers for hospitality management. Identified factors can lead to improved decision-making and contextualisation of economic models for food service providers in a post-pandemic future.

Utilizing boundary theory as a guiding framework, this study aims to explore facets of work–life balance (WLB) that women entrepreneurs experience in the context of the United Arab Emirates (UAE). It sheds light on strategies women entrepreneurs use to manage and shape boundaries between their personal and professional lives.

In this qualitative study, we conducted in-depth interviews with 50 women entrepreneurs to gain a deeper understanding of their WLB challenges.

Integration is a boundary management approach used by most women in our sample, facilitated by the thin work–life boundary inferable from their entrepreneurial careers. Integration has all the hallmarks of being imposed on women entrepreneurs because of family role challenges and societal expectations, on top of their entrepreneurial obligations. Women are reactors; they shoulder societal, family and entrepreneurial roles while having little control over events and circumstances.

Boundary theory suggests two roles must be interconnected to coexist successfully. Women entrepreneurs can benefit from the synergy between their personal and professional lives. As their roles tend to be more complex, it is essential to consider the consolidation of both spheres as an ongoing process to maximize their benefits.

Today’s independent forms of working are contingent on flexible work arrangements, work intensification and wireless communication. Understanding how women entrepreneurs find balance amid boundarylessness adds to our limited knowledge of people in comparable environments.

This paper aims to classify tourist accommodation using data from Booking.com and TripAdvisor and analyse the extent to which the different segments identified differ in terms of being adults-only.

In total, 1,535 properties located in nine Spanish sun and beach destinations were examined using a latent class cluster analysis (LCCA). The bias-adjusted three-step approach was used to investigate the differences between belonging to adults-only accommodation or not among the identified clusters.

Results show that adults-only accommodation tends to belong to the cluster with higher online ratings. In small Spanish islands, adults-only hotels account for a large share (more than 25%) of hotels.

It was not possible to analyse whether the higher rating was due to the accommodation being better or due to the tourists being more satisfied with their stay.

In urban destinations, the model is not widely used. However, in coastal destinations, it is becoming more than a novelty or a new trend.

In small Spanish islands, people traveling with children are becoming a minority. Families may feel discriminated against and express dissatisfaction with this situation in the future.

This study covers the gap in the academic literature on this growing hotel segment.