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The purpose of the paper is to simulate the effect of clothing insulation and activity on the interaction between the human body and the environment.

A thermo-physiological model, integrated into a Fluent CFD software package is applied. The temperature of the skin surface, clothing surface and heat flux (dry and total heat flux) through layers of clothing with different insulation level are numerically investigated in function of the clothing insulation and the different activities performed indoors.

The increase of the clothing insulation leads to increase of both skin and clothing temperature. Higher temperature difference ΔT between the room temperature and skin temperature provokes more dynamic change of the skin temperature and decreases the thermal comfort of the person. The increase of the metabolic rate, however, leads to more uniform skin temperature, regardless the temperature difference ΔT. With the increase of the clothing insulation for a constant metabolic rate the total heat flux remains constant, but the dry heat flux decreases, while the evaporative heat flux increases.

The joint influence of clothing insulation and indoor activities on the thermal interaction between the body and the environment is assesses using a thermo-physiological model, integrated in a CFD software package.

The purpose of this paper is to integrate a thermophysiological human body model into a CFD simulation to predict the dry and latent body heat loss, the clothing, skin and core temperature, skin wettedness and periphery blood flow distribution. The integration of the model allows to generate more realistic boundary conditions for the CFD simulation and allows to predict the room distribution of temperature and humidity originating from the occupants.

A two-dimensional thermophysiological body model is integrated into a CFD simulation to predict the interaction between the human body and room environment. Parameters varied were clothing insulation and metabolic activity and supply air temperature. The body dry and latent heat loss, skin wettedness, skin and core temperatures were predicted together with the room air temperature and humidity.

Clothing and metabolic activity were found to have different level of impact on the dry and latent heat loss. Heat loss was more strongly affected by changes in the metabolic rate than in the clothing insulation. Latent heat loss was found to exhibit much larger variations compared to dry heat loss due to the high latent heat potential of water.

Unlike similar studies featuring naked human body, clothing characteristics like sensible resistance and vapor permeability were accommodated into the present study. A method to ensure numerical stability of the integrated simulation was developed and implemented to produce robust and reliable simulation performance.

The purpose of this paper is to introduce e-mindfulness as a tourism trend. Mindfulness meditation is becoming increasingly mainstream, which is reflected in a rapidly growing number of related technology applications. Such technology-assisted mindfulness is typically referred to as e-mindfulness. The e-mindfulness trend creates opportunities for the tourism industry but also implies changed consumer perspectives on tourist experiences.

The paper is based on a general review of academic literature, news reports and online resources regarding the offerings of related technologies.

Implications of e-mindfulness for consumers, tourism service providers and designers of future tourism experiences are outlined.

This is the first paper to conceptualize e-mindfulness as a tourism trend.

Scholars have increasingly researched on how the uprise of Technologies 4.0 will alter the way in which the tourism destinations, the hospitality and tourism sector will operate. Research points out to the fact that the massive digital transformation can lead to a human-centric experience design perspective which is against the principles of tourism sustainable development. In fact, one of today's challenges is predicting how destinations can use immersive digital experiences like metaverse to instill sustainable behaviours. Bearing that in mind, in this chapter, one first explores the concept of metaverse in general and after in the context of tourism destinations management organisations, showing that metaverse that seeks to turn imagination into reality using a panoply of technologies should be seen as the perfect mean for sustainable tourism.

The study proposes a conceptual framework to create an understanding of metaverse experiences envisioning sustainable practices.

Finally, one identifies research gaps and proposes an agenda with the potential of benefiting destination's management organisations. Furthermore, it was our intent to identify opportunities and challenges involving the use of metaverse with sustainable ends by tourism destination management organisations.

This study assumes that metaverse can be used by destination management organisations to educate potential ‘tourists’ by providing to them innovative educational environments where they can ‘live’ all sorts of non-human-centric sustainable experiences. With that intent, a model for the implementation of metaverse was created with its foundations on current experiments happening worldwide.

What does it mean to be a “smart” negotiator? Few scholars have paid much attention to this question, a puzzling omission given copious research suggesting that cognitive ability (the type of intelligence commonly measured by psychometric tests) predicts individual performance in many related contexts. In addition to cognitive ability, other definitions of intelligence (e.g., emotional intelligence) have been proposed that theoretically could influence negotiation outcomes. Aiming to stimulate renewed attention to the role of intelligence in negotiation, we develop theoretical propositions linking multiple forms of intelligence to information acquisition, decision making, and tactical choices in bargaining contexts. We outline measurement issues relevant to empirical work on this topic, and discuss implications for negotiation teaching and practice.

Building on recent smart hospitality systematic reviews and extensive literature analyses, this paper aims to explore recent developments, themes and issues within smart hospitality. It synthesises existing knowledge, extrapolating forward and contributes to the future development of smart hospitality by serving as a reference to enrich academic/industry discussions and stimulate future research.

The research examined 8 recent review articles on smart hospitality and tourism and extracted 145 articles in peer-reviewed sources from Web of Science focussed on smart hospitality. These publications supported in-depth analysis to explore the body of knowledge and develop foresight for the future of smart hospitality within business ecosystems at tourism destinations. It synthesises knowledge and provides the basis for the development of a comprehensive in-depth research agenda in smart hospitality innovations as well as the formulation of agile hospitality ecosystems.

This paper illustrates that smart hospitality introduces disruptive innovations that affect the entire hospitality ecosystem. Smart hospitality takes advantage of smart cities and smart tourism towards establishing agile business ecosystems in networked destinations. Having reviewed the existing literature, the study developed a conceptual framework and introduced a comprehensive future research agenda. This includes the drivers of smart hospitality, namely, customer-centricity, personalisation, individualisation and contextualisation; marketing-driven hospitality excellence and metaverse; as well as operation agility, asset strategy, talent management and supplier interoperation. It also identified the foundations that provide the infostructure for smart hospitality, including ambient intelligence, big data, processes and sustainability, providing the capability blocks to co-create value for all stakeholders in the hospitality ecosystem.

This study conceptualises smart hospitality as a disruptive and innovative power that will affect the competitiveness of hospitality and tourism organisations as part of a comprehensive ecosystem. It identifies the key stakeholders and explores how they can take advantage of emerging developments. This paper proposes the drivers and foundation for future research on smart hospitality. The research provides a conceptual synthesis of the literature and the concepts that have been elaborated. The foundations are effectively the infostructure that enables the drivers to add value to different stakeholders. Key issues are identified to stimulate further research on the area to support smart hospitality development and adoption.

Building on a TripAdvisor data for five Mediterranean destinations, namely, Greece, Croatia, Italy, France and Spain, this study analyses the constituents of restaurants' online reputation and their interrelation with destination competitiveness, in particular two Travel and Tourism Competitiveness Index (TTCI) pillars, namely, Prioritisation of Travel and Tourism and Price Competitiveness.

The analysis has revealed that restaurants' online reputation is positively influenced by two factors, namely, Core elements, i.e. cooking, service and price-quality ratio, and Price. Furthermore, the restaurants' online reputation does not influence destination competitiveness (TTCI) directly, but indirectly throughout its main constituents, i.e. service and price. Price is the only variable with significant influence on overall TTCI. Within the sample of these destinations, Balkan countries, i.e. Greece and Croatia, perform very well in terms of their restaurants' online reputation. On the other hand, considering the overall TTCI rating, their competitive positions are substantially lower than those of Italy, France and Spain.

The study provides new insights into the relationship between gastronomic offer and destination competitiveness, and valuable practical implications for destination and hospitality management. Moreover, this study addresses various gaps in existing research on this topic. Specifically, it validates the reputation elements presented online using TripAdvisor data and analyses the impact of electronic Word of Mouth (eWOM) not only as the outcome variable of other constructs, as is the case in the literature, but also as a central construct of the analysis. In doing so, it extends current research on this topic and fills the gap regarding the inclusion of the supply-side stakeholder perspective, which has long been recognised as necessary in any attempts to measure competitiveness.

Emotional intelligence (EI) has been embraced by many practitioners and academicians without clear empirical support for the construct. In this rejoinder and extension of an earlier comment, I highlight the importance of using methodologically defensible scientific criteria for conducting or evaluating research. I review literature demonstrating that EI models are beset with problems concerning their validity and show that support for the EI construct may be based more on tangential speculation than on empirical findings. Although I find some common positions with EI researchers such as Prati et al., I underline contradictions and inconsistencies which may cast doubt on the necessity of EI for understanding and predicting leadership effectiveness.