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The number of female managers in the hotel industry is increasing worldwide. What does it take for female hotel managers to succeed? Do they face different types of barriers between entry into management and upward mobility within management? This paper presents the general profile of female hotel managers in Singapore and examines barriers that may prevent middle‐level female managers from moving up to the executive positions. The findings suggested that female managers in Singapore hotels have “given up” some family life in order to get ahead. Whereas strong credentials and skills have proven to be important in female advancement into middle‐level management, they have not helped them to attain executive positions. An interesting finding is that the barriers to advancement for female managers are due to neither corporate practices nor policies, but rather seem to be a function of cultural and societal sanctions.

With limited research on help-seeking in the social marketing domain, this research takes a unique perspective through the lens of McGuire’s psychological framework examining the intrinsic and extrinsic motivations (or perceived help-seeking benefits) influencing help-seeking attitudes and behaviour in at-risk gamblers. This paper aims to examine the role that response efficacy has on the relationship between perceived help-seeking benefits and help-seeking behavioural intentions.

Study 1 used focus groups to explore the positive influence of help-seeking in at-risk gamblers. Studies 2 and 3 used online surveys to further test the direct and indirect impacts of perceived help-seeking benefits on attitudes and behavioural intentions. Structural equation modelling with multi-group analysis (low/high response efficacy) tested the hypotheses.

Both cognitive and affective psychological motives manifest as distinct intrinsic (well-being, self-esteem and self-control) and extrinsic motivators (social influence) that influence at-risk gamblers’ help-seeking attitudes and intentions to seek professional services. These perceived benefits influence help-seeking intentions directly (for those high in response efficacy) and indirectly via serial attitudinal mediators.

The results provide a guide for practitioners to enhance the promotion of professional help. Practitioners should develop marketing communication messages centred on the specific psychological needs of at-risk gamblers to encourage help-seeking behaviour including an emphasis on assertion, affiliation, independence, utilitarian, tension reduction, ego defence and consistency.

This research is the first, to the knowledge, to examine the psychological motivations that encourage help-seeking in at-risk gamblers, demonstrating that both preservation and growth motives influence help-seeking attitudes and the decision to act.

The aim of this study is to offer valuable insights to businesses and facilitate better understanding on transformer-based models (TBMs), which are among the widely employed generative artificial intelligence (GAI) models, garnering substantial attention due to their ability to process and generate complex data.

Existing studies on TBMs tend to be limited in scope, either focusing on specific fields or being highly technical. To bridge this gap, this study conducts robust bibliometric analysis to explore the trends across journals, authors, affiliations, countries and research trajectories using science mapping techniques – co-citation, co-words and strategic diagram analysis.

Identified research gaps encompass the evolution of new closed and open-source TBMs; limited exploration across industries like education and disciplines like marketing; a lack of in-depth exploration on TBMs' adoption in the health sector; scarcity of research on TBMs' ethical considerations and potential TBMs' performance research in diverse applications, like image processing.

The study offers an updated TBMs landscape and proposes a theoretical framework for TBMs' adoption in organizations. Implications for managers and researchers along with suggested research questions to guide future investigations are provided.

This study aims to use big data analysis and sheds light on key hotel features that play a role in the revisit intention of customers. In addition, this study endeavors to highlight hotel features for different customer segments.

This study uses a machine learning method and analyzes around 100,000 reviews of customers of 100 selected hotels around the world where they had indicated on Trip Advisor their intention to return to a particular hotel. The important features of the hotels are then extracted in terms of the 7Ps of the marketing mix. This study has then segmented customers intending to revisit hotels, based on the similarities in their reviews.

In total, 71 important hotel features are extracted using text analysis of comments. The most important features are the room, staff, food and accessibility. Also, customers are segmented into 15 groups, and key hotel features important for each segment are highlighted.

In this research, the number of repetitions of words was used to identify key hotel features, whereas sentence-based analysis or group analysis of adjacent words can be used.

This study highlights key hotel features that are crucial for customers’ revisit intention and identifies related market segments that can support managers in better designing their strategies and allocating their resources.

By using text mining analysis, this study identifies and classifies important hotel features that are crucial for the revisit intention of customers based on the 7Ps. Methodologically, the authors suggest a comprehensive method to describe the revisit intention of hotel customers based on customer reviews.

This volume is the outcome of the 33rd European International Business Academy (EIBA) conference held at the Faculty of Political Science of the University of Catania (Italy). This conference brought together more than 300 scholars from around the world to discuss theoretical and empirical issues in international business (IB), as well as their consequences and challenges to IB scholars and policy-makers. Organized around 10 thematic tracks, the conference is the annual forum for discussing major research issues in the IB realm. This volume is a collection of the best papers, which, selected through a blind refereeing process for presentation at the conference, make significant contributions by providing fresh new perspectives on a variety of relevant topics.

While the growth of emerging technologies like Blockchain has created significant market opportunities and economic incentives for firms, it is valuable for both researchers and practitioners to understand their creation mechanisms. This paper aims to discuss the aforementioned objective.

Based on the knowledge search perspective, this study examines the impact of search boundary on innovation novelty and quality. Additionally, innovation targets, namely R&D innovation and application innovation, are proposed as the moderator of the knowledge search effect. Using a combination of machine learning algorithms such as natural language processing and classification models, the authors propose new methods to measure the identified concepts.

The empirical results of 3,614 Blockchain patents indicate that search boundary enhances both innovation novelty and innovation quality. For R&D innovation, the positive impact of search boundary on innovation quality is enhanced, whereas for application innovation, the positive effect of search boundary on innovation novelty is improved.

This study mainly contributes to the growing literature on emerging technologies by describing their creation mechanisms. Specifically, the exploration of R&D and application taxonomy enriches researchers' understanding of knowledge search in the context of Blockchain invention.

Sustainable mobility and collaborative consumption are debated issues in the literature. In this field, car sharing (CS) represents a growing tendency that attracts interest by academicians for its potential positive impact on sustainability. This study aims to understand the main drivers of CS usage, unveiling the role of service quality and the possible inhibitors.

Based on theoretical assumptions in the literature, the authors developed a theoretical framework that aims at understanding the main antecedents of CS usage. An empirical investigation involving the city of Rome (Italy) was performed. The study presents a qualitative and quantitative survey, while the proposed theoretical model has been tested through structural equation modelling statistical techniques.

The findings show that usefulness positively affects the intention to use CS services. Moreover, the green attitude and expected service quality indirectly influence the intention to use CS services impacting perceived usefulness. The results show that the expected service quality has a strong influence on usefulness, whereas green attitude has a weaker influence on usefulness. The intention to use CS services is directly influenced by the usefulness and inhibitors that affect it negatively.

The originality of this paper lies in the fact that this study discloses the main antecedents of the intention to use CS services, emphasizing the role of service quality. This study provides fruitful insights to policy and decision-makers to understand how to improve the CS usage in the urban transport system of the city of Rome. It suggests developing a higher level of service quality in the vehicles, suitable technological applications and effective communication as well as on overcoming its main inhibitors.

Online consumer reviews have become increasingly important for consumer decision-making. One of the most prominent examples is the hotel industry where consumer reviews on websites, such as Bookings.com, TripAdvisor and Venere.com, play a critical role in consumers’ choice of a hotel. There have been a number of recent studies analyzing various aspects of online reviews. The purpose of this paper is to investigate their effects in terms of hotel occupancy rates.

This paper measures through regression analysis the impact of three dimensions of consumer reviews (i.e. review score, review variance and review volume) on the occupancy rates of 346 hotels located in Rome, isolating a number of other factors that might also affect demand.

Review score is the dimension with the highest impact. The results suggest that after controlling for other variables, a one-point increase in the review score is associated to an increase in the occupancy rate by 7.5 percentage points. Regardless the review score, the number of reviews has a positive effect, but with decreasing returns, implying that the higher the number of reviews, the lower the beneficial effect in terms of occupancy rates is.

The findings quantify the strong association of online reviews to occupancy rates suggesting the use of appropriate reputational management systems to increase hotel occupancy and therefore performance.

A major contribution of this paper is its comprehensiveness in analyzing the relation between online consumer reviews and occupancy across a heterogeneous sample of hotels.

This paper aims to explore the interplay between international experiences and male and female top managers' career paths, taking into consideration gender differences. Furthermore, the research investigates the specific job and personal demands and resources related to the different types of international work experiences.

This study provides an in-depth subjective reconstruction of the international professional experience of 37 male and female top managers employed in Italy, using semi-structured interviews.

Participants highlighted the benefits of their international assignments (IAs) in terms of the development of managerial, soft and cross-cultural skills. Family issues and cultural differences were frequently cited as challenges by the top managers interviewed. Culture shock and perceived difficulty in managing multicultural teams were reported by both women and men. Men reported experiencing long periods of separation from their family more often than women and cited the support of their partner as a valuable resource. In addition to the support of a partner, women also indicated that certain job resources and welfare policies played a crucial role. Moreover, women appear to be more interested in work-family management issues, thus suggesting that the traditional division of roles between men and women continues to persist in Italy.

This study provides an insight into the extrinsic factors linked to career success, as well as the challenges and the resources associated with different forms of global work other than traditional expatriation. It takes into consideration a specific country, Italy, where a traditional family paradigm persists, providing an insight into better understanding the link between IA experiences and gender roles in global mobility. Managerial implications are also discussed.