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This study aims to assess the nutritional status and physical fitness status of school children among major ethnic and Dalit populations, in Rajshahi, Bangladesh.

Data were collected through structured questionnaires administered to mothers or caregivers of the children, followed by physical fitness assessments. Anthropometric indicators were used to evaluate nutritional status, including body mass index-for-age, height-for-age, and weight-for-height, based on Centre for Disease Control guidelines. Physical fitness was assessed through tests for flexibility, abdominal, muscular, speed, and lower limb strength. Statistical analysis was performed using SPSS.

Approximately 45% of boys and 55% of girls had normal nutritional status. However, the study also identified varying percentages of children with stunted, underweight, wasted, and mixed nutritional issues, highlighting the prevalence of malnutrition among this population. Boys consistently outperformed girls in terms of physical fitness across all age groups, with 84% to 90% of boys meeting established fitness criteria. Girls face a 1.8-fold and 2.2-fold increased risk of wasted and underweight conditions compared to boys. Lower-income group children exhibit a 2.6-fold and 1.6-fold increased risk of wasted conditions and underweight conditions. Children consuming meals twice a day have a 2.1-fold and 2.5-fold elevated risk of wasted and underweight conditions compared to others.

This study highlights the need for interventions and strategies to improve the nutritional and health status of ethnic children in Rajshahi, Bangladesh, considering their diverse dietary habits and lifestyles. By addressing these issues, the authors can empower these communities to actively contribute to the social and economic development of the region.

This study aims to examine the co-creation of customer experiences at different levels in service ecosystems, analyzing the case of a tourist destination.

A questionnaire was designed based on previously validated scales. The questionnaire was distributed through the social media platforms Facebook and Instagram. The survey yielded 1,476 valid responses for three types of destinations. Structural equation modeling and multigroup analysis were performed to test the hypotheses.

Aggregate service experience and memorable customer experience (MCE) in service ecosystems are determined by customer experiences at a dyadic level. Service experience at the ecosystem level is formed from ordinary experiences at the actor level, while MCE is formed from extraordinary experiences at the dyadic level. The type of ecosystem moderates the relationships between the variables but does not alter the importance of each of them.

The relationship between the co-creation of customer experiences at different levels of service ecosystems (dyadic vs aggregate) is addressed. A relationship is established between the ordinary and extraordinary character of experiences and their memorability at the ecosystem level.

The study aims to investigate how pregnant and nursing mothers’ stories have been neglected in writing about gender, security and spaces.

The study chronicles Agogo Traditional Area’s pregnant and nursing mothers’ resistance and survival in this conflicted environment. The author used photo voices in a participatory photography design to give conflict-area women a voice. Interviews and observations supported this. Pregnant and nursing mothers were sampled using the purposive and snowball sampling techniques. The data analysis considered narrative analysis, photographic and inductive approaches.

The findings highlighted how these mothers in vicious settings experienced healthcare access and problems, societal issues including gender dynamics, food insecurity, and emotional and psychological well-being.

The findings in this study expand the socio-cultural narratives of pregnant and nursing mothers in violent spaces.

After completion of the case study, the participants would be able to understand the challenges in building a sustainable homestay tourism business; develop a positioning statement for La Pinekonez which builds a unique competitive advantage; and outline elements of the business strategy to profitably sustain and grow a sustainable tourism homestay in terms of service offering, pricing, marketing and operations.

La Pinekonez Homestay, located in the beautiful region of Himachal Pradesh, India, is the subject of this case study, which explores both its successes and its difficulties. In August 2022, Arvind, the dedicated sole proprietor of La Pinekonez, grappled with multifaceted challenges, the first being the foray of established hotel chains into the homestay business. As the protagonist, was is in dilemma of preserving La Pinekonez’s unique identity amidst corporate competitors, particularly with regards to differentiating from the expanding hotel chains. The clash between customer expectations for hotel-like amenities and the homestay’s commitment to sustainable tourism presented a crucial challenge. Negative reviews questioning the authenticity of La Pinekonez’s green initiatives heightened the complexity. Adding to Arvind’s predicament were the seasonal fluctuations in tourist inflow and his aspiration to embrace immersive tourism trends. This case study facilitates exploration of strategic positioning, sustainability management and marketing strategies in the dynamic and competitive hospitality industry. It also offers insights into the complexities of balancing differentiation, customer satisfaction and sustainability while navigating the evolving landscape of tourism trends.

This case study is suitable for students of tourism and hospitality management at postgraduate level. The case study can be discussed once the basic concepts of hospitality management and service dimensions are covered.

Teaching notes are available for educators only.

CCS 12: Tourism and hospitality.

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

Purpose: Students’ transition from education to employment is influenced by factors like the length and calibre of their education, demography, labour market conditions, and the general state of the economy. Regardless of the economy, education systems should seek to ensure that students have the skills required for the labour market. This will help them better transition from school to work. This study examines the work skills that companies require for entry-level positions in Romania.

Need for Study: Previously, text analysis studies treated the job market only for the IT industry in Romania. To understand the demand-side opportunities and restrictions, assessing the employment opportunities for young people in the Romanian labour market is necessary.

Methodology: A text mining approach from 842 unstructured data of the existing job positions in October 2022 for fresh graduates or students is used in this chapter. The study uses data from LinkedIn job descriptions in the Romanian job market. The methodology involved is focused on text retrieval, text-pre-processing, word cloud analysis, network analysis, and topic modelling.

Findings: The empirical findings revealed that the most common words in job descriptions are experience, team, work, skills, development, knowledge, support, data, business, and software. The correlation network revealed that the most correlated pairs of words are gender–sexual–race–religion–origin–diversity–age–identity–orientation–colour–equal–marital.

Practical Implications: This study looked at the job market and used text analytics to extract a space of skill and qualification dimensions from job announcements relevant to the Romanian employment market instead of depending on subjective knowledge.

Stemming from the resource-based view (RBV) approach, this article overcomes the limits of the conventional strengths, weaknesses, opportunities and threats (SWOT) analysis, setting the basis for the model actual–potential, positive–negative, internal–external (APPNIE). This paper enacts a new framework demonstrating how strengths, weaknesses, opportunities and threats of SWOT can be replaced by actual or potential, positive or negative elements, considered in a dynamic way.

The traditional SWOT analysis provides only a partial view of the environment and adopts incorrect terminology that can confuse the user, preventing a clear understanding of the factors affecting the organisation’s situation. The authors developed a new tool to help managers in their decision-making processes.

This study proposes a new tool for assessing the quality of management, resources and environment, which is useful in understanding the economic and social scenario in which a firm is embedded. From a practical point of view, the new tool is applied in the case study, and it shows how managers and students can use it while choosing between alternative options (different strategies, markets, technologies, etc.).

The APPNIE model introduces a new dimension that the SWOT analysis does not consider. Moreover, for each element of the new matrix, the authors propose a plan of action, which is another valuable benefit of the APPNIE model.

The primary objective of this study is to explore the nuanced interplay of conspicuous consumption, ethical label purchasing and the ensuing dynamics of civic virtue and cynicism within the luxury foodservice context.

Grounded in a theoretical understanding of solidarity within the context of product consumption, this research employs a two-pronged approach involving secondary data analysis and scenario-based experimental studies. The initial phase involves analyzing firm-level data from the Euromonitor database in 2019 and 2021. The main study employs a between-subjects experimental design with a cohort of 316 participants sourced from an online panel.

The results reveal a consistent pattern in the consumption of luxury foodservice and underscore a distinct upward trajectory in consumer demand for ethically labeled food. Notably, these findings underscore the moderating role of ethical label purchasing in the relationship between conspicuous consumption and consumers civic virtue. Additionally, ethical label purchasing moderates the impact of conspicuous consumption on consumer cynicism, both directly and indirectly through emotional solidarity related to both communal and equitable principles.

This study holds significance for both luxury food service researchers and market design practitioners. It provides valuable insights into how ethical labeling interacts with consumers conspicuous consumption, all facilitated by emotional solidarity.

Following the increasing trend of artificial intelligence (AI) research in hospitality literature, this critical reflection paper aims to identify AI-assisted mindfulness as a critical yet under-investigated issue and to contribute feasible directions for future research.

The authors first conceptualize a framework explaining the effects of mindfulness design in AI interventions on improving human mindfulness. The authors then identify opportunities for interventions in AI-assisted mindfulness for the tourism, hospitality and events industries. Finally, the authors propose potential themes for AI-assisted mindfulness research.

This study contributes three major conceptual works. First, we conceptualize a framework of AI-assisted mindfulness, showcasing that the scope of AI-assisted mindfulness spans from AI interventions to state mindfulness and then to trait mindfulness. Second, the authors offer two approaches to strategic thinking, one from mindfulness (i.e. mindfulness-focused niche markets and activities) and one from AI applications (i.e. AI-facilitated devices and platforms), to identify opportunities for AI-assisted mindfulness interventions. Third, for both management- and marketing-oriented AI-assisted mindfulness research, the authors propose 18 themes.

This critical reflection paper offers directions for future knowledge creation in AI-assisted mindfulness in the tourism, hospitality and events industries.

To the best of the authors’ knowledge, this critical reflection paper serves as the first in hospitality and tourism literature to systematically propose the research issue of AI-assisted mindfulness, offering directions and themes for future research.

The purpose of this paper is to present a model depicting the relationship between the behavioral intention of tourists in the conditions prevailing during a pandemic and other variables.

In constructing the research procedure, two measurements of tourist behavioral intention were taken into account, which were taken far apart in time. In verifying the developed model, the results of surveys of 1,615 people carried out in June 2021 and 917 people carried out in December 2021 were considered.

As a result of the habituation process, tourists show greater acceptance of the restrictions.

Information on the basis of which companies make management decisions plays a significant role in the creation of company value. In the tourism sector, the information concerns primarily consumer behavior.

Changes over time in risk perception, health protection motivation, and reactance due to perceived pandemic-related restrictions were taken into account in the context of behavioral intention towards tourism.