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Necessary conditions represent the factors that cannot be compensated but must be present to aim the desired outcome; if a necessary condition is absent, the outcome will not exist. This logic of necessity causality differs from the conventional logic that has been evaluated by the methods drawing the lines “through the middle of the data” (e.g., regression and SEM). The authors argue that the empirical investigation of necessity causality has been largely ignored in hospitality and tourism literature although the notion of necessary causes for achieving certain outcomes is widespread throughout the studies. Thus, the authors introduce “necessary condition analysis” (NCA) as a suitable analytical method to identify necessary conditions in hospitality and tourism research. This chapter provides details on the underlying logic, key advantages, and an illustrative example of NCA. The chapter concludes by offering a few recommendations for future NCA applications in hospitality and tourism research.

The global methods of generalized differential quadrature (GDQ) and generalized integral quadrature (GIQ) are applied to solve three‐dimensional, incompressible, laminar boundary layer equations. The streamwise and crosswise velocity components are taken as the dependent variables. The normal velocity is obtained by integrating the continuity equation along the normal direction where the integral is approximated by GIQ approach with high order of accuracy. All the spatial derivatives are discretized by a GDQ scheme. After spatial discretization, the resultant ordinary differential equations are solved by the 4‐stage Runge—Katta scheme. Application of GDQ—GIQ approach to a test problem demonstrated that accurate numerical results can be obtained using just a few grid points.

The multi‐domain generalized differential quadrature method is applied in this paper to simulate the flows in Czochralski crystal growth. The effect of interface treatment on the numerical solution is studied through four types of interface approximations. The performance of those four interface approximations is validated by a benchmark problem suggested by Wheeler. It is demonstrated in this study that the multi‐domain GDQ approach is an efficient method which can obtain accurate numerical solutions by using very few grid points, and the overlapped interface approximation provides the most accurate numerical results.

The data sample used in this study is composed of 2,638 Chinese tourists who have travel experiences to the South Pacific region. This study examines the effects of memorable tourism experiences, destination cognitive and affective images, and satisfaction on revisit intention and their mechanisms from a cognitive–affective perspective. Results show that destination cognitive image, destination affective image, and satisfaction, respectively, play a mediating effect on the relationship between memorable tourism experiences and revisit intention. Memorable tourism experience is the most important predictor of revisit intention, and it mainly affects the cognitive image of a destination. In line with previous studies, this research has shown that memorable tourism experiences have significant impact on the destination image and tourists' revisit intention, which can provide significant implications for tourism practitioners and destination managers in the South Pacific islands.

The purpose of this study is to provide new insights into the factors that influence cancellation behaviour with respect to hotel bookings. The data are based on individual bookings drawn from a hotel reservation system database comprising nine hotels.

The determinants of cancellation probability are estimated using a probit model with cluster adjusted standard errors at the hotel level. Separate estimates are provided for rooms booked offline, through online travel agencies and through traditional travel agencies.

Evidence based on 233,000 bookings shows that the overall cancellation rate is 8 per cent. Cancellation rates are highest for online bookings (17 per cent), followed by offline bookings (12 per cent) and travel agency bookings (4 per cent). Probit estimations show that the probability of cancelling a booking is significantly higher for early bookings, large groups that book offline, offline bookings during high seasons, bookings not involving children and bookings made by guests from specific countries (e.g. China and Russia). Among the factors, booking lead time and country of residence play the largest role, particularly for online bookings.

The analysis is based on individual-level booking data from one hotel chain in Finland, and therefore cannot be generalised for the total population of hotels in the country under observation.

The main contribution of this paper is a thorough investigation of the factors that influence cancellation behaviour at both the theoretical and empirical levels. Detailed and unique data from a hotel reservation system allow for new empirical insights into this behaviour.

The twenty-first century has been characterized by the intensification of concerns related to tourism safety and security. These issues are playing an increasingly significant role over recent years, due to the increase of terrorist attacks in several countries, political instability, natural disasters, epidemics and, more recently, the COVID-19 pandemic. Understanding tourist safety and security in the tourism context is, thus, critical to increasing the competitiveness and attractiveness of tourist destinations.

Through the bibliometric methods of performance analysis and science mapping, this study aims to contribute to the advancement of knowledge on tourist safety and security at the destination.

A total of 445 records published between 1989 and 2021, covering 191 academic journals and 1,000 authors from 91 different countries, were analysed.

The main findings show that this research field has attracted a substantial and growing interest of researchers, institutions, journals and countries. Opportunities for future research are related to decision making, tourist behaviour, risk perception, tourism safety, destination image, safety engineering and sustainable development.

In the post-pandemic context, this research field can be critical to providing a set of tailored strategies to improve tourists' safe destination environment and increase tourism destinations' competitiveness and attractiveness.

The paper aims to examine the effect of physical distancing control on the intention to travel during the pandemic and to assess the influence of knowledge, social concern and perceived risk on the theory of planned behavior (TPB).

A total of 1,068 Indonesian respondents through a purposive sampling approach, filled out online questionnaires during the pandemic. The collected data were analyzed using partial least squares-structural equation modeling.

The results indicated that subjective norm as the external factor of the TPB has a stronger effect than the internal factors; attitude and behavioral control. It appears that in a collectivist society, prohibition enforced by family and friends, as well as the government’s sanctions have a stronger influence on one’s decision to travel. The findings also suggested that knowledge, perceived risks and social concern effect tourists’ behavior. Uncertainty and inadequate knowledge will decrease the level of perceived risk, which leads to lower control in practicing physical distancing and increasing intention to travel during the pandemic.

The research has limitations in its use of a convenient sampling method. This method may not represent the whole population, causing the results to be difficult for generalization. There is also the need for extending the TPB model with different variables in the context of tourism and pandemic. This study enriches the existing tourism literature by applying TPB to examine tourists’ behavior during the Covid-19 pandemic, focusing on knowledge, social concern and perceived risk theory.

This paper offers useful insights for tourism planners in the government and private destination management levels. It is crucial for a destination management organization to understand the relationship between knowledge, perception and social concern with tourists’ behavior while traveling during pandemics. The understanding of tourist’s behavior when traveling during the pandemic will assist in developing and creating activities and designing health protocols at tourist attractions.

This study extended the TPB to analyze tourists behavior during the pandemic by applying knowledge, social concern and perceived risk elements.

本研究旨在解释疫情期间社交距离控制对出行意图的影响，并分析知识，社会意识和风险感知在计划行为理论中的作用。

在新冠肺炎疫情期间，通过目的性抽样的方法， 1,068名来自印度尼西亚的受访者参与了网络问卷调查。所获数据通过PLS-SEM分析。

结果表明，主观规范作为计划行为理论的外部因素比内部因素（态度和行为控制）具有更强的作用。在集体主义社会中，来自亲友的禁令以及政府的制裁似乎对旅行决策产生了更大的影响。研究结果还表明，知识、风险感知和社会关注会影响游客的行为。不确定性和知识不足将降低风险感知的水平，从而导致人们对距离控制的疏忽，并在疫情期间增加旅行意向。

该研究存在局限性在于使用了方便样本。此样本不能代表整个群体，因此研究结果可能不具有极高的普适性。未来关于疫情下出游的研究，需要继续延申计划行为理论，探讨该模型与其他变量的关联。本研究丰富了现有的游客研究，主要贡献针对计划行为理论在疫情下出游这一场景中的应用，和与知识、社会意识和风险感知的理论建构。

这项研究为公共与私人旅游区的管理做出了重要贡献。 目的地管理组织（DMO）必须了解在疫情期间的游客的行为与知识、风险感知和社会关注之间的关系。这些疫情下游客行为的理论建构能够帮助开发游客活动，并为疫情下旅游区游客健康守则提供设计参考。

这项研究是对计划行为理论的拓展，并且是对该理论模型在疫情下出游的具体应用；研究分析了此理论模型与知识、社会关注和风险感知的关联。

关键词：社交距离，疫情期间的出游，新冠肺炎疫情，计划行为理论，风险感知，社会关注

文章类型：研究论文

Este artículo analiza los efectos del control de la distancia física en la intención de viajar durante la pandemia y la influencia del conocimiento, la preocupación social y riesgo percibido en la teoría del comportamiento planificado (TPB).

A través de un sistema de muestreo por conveniencia, se obtuvo una muestra de 1.068 participantes de Indonesia que completaron la encuesta online durante la pandemia. La información recopilada fue analizada a través del PLS-SEM.

Los resultados indicaron que la norma subjetiva como factor externo de la teoría del comportamiento planificado ejerce un efecto superior al de los factores internos; actitud y control del comportamiento. Resulta que, en una sociedad colectivista, la prohibición reforzada por la familia y amigos, así como las sanciones del gobierno ejercen una influencia mayor en la decisión individual de viajar. Los resultados también sugieren que el conocimiento, los riesgos percibidos y la preocupación social afectan al comportamiento del turista. La incertidumbre y el desconocimiento disminuyen el nivel de riesgo percibido lo cual conduce a un menor control a la hora de cumplir con el distanciamiento físico y a una mayor intención de viajar durante la pandemia.

Las limitaciones de esta investigación tienen su origen en el sistema de muestreo de conveniencia utilizado en esta investigación. Este método puede no representar al total de la población, lo cual provoca dificultad en la generalización de los resultados. También existe la necesidad de ampliar el modelo de la teoría del comportamiento planificado (TPB) incorporando variables propias del contexto turístico y de la pandemia. Este estudio supone una aportación a la literatura existente en turismo al aplicar la teoría del comportamiento planeado al análisis del comportamiento de los turistas durante la pandemia del covid-19, con un enfoque en el conocimiento, la preocupación social y la teoría del riesgo percibido.

Esta investigación es de utilidad para los responsables de la planificación de la actividad turística tanto a nivel gubernamental como privado. Es crucial para que las organizaciones responsables de la gestión del destino (DMO) comprendan la relación existente entre conocimiento, percepción y preocupación social, con el comportamiento de los turistas cuando viajan en tiempos de pandemia. La comprensión del comportamiento de los turistas cuando viajan durante la pandemia ayudará a desarrollar, crear actividades y diseñar protocolos de salud en las atracciones de los turistas.

Este estudio extiende la teoría de comportamiento planificado al análisis del comportamiento de los turistas durante la pandemia a través de la aplicación del conocimiento, preocupación social y elementos de riesgo percibido.

The purpose of this paper is to apply the lattice Boltzmann method (LBM) to simulate mixed flow, which combines natural convection for temperature difference and forced convection for lid driven, in a two‐dimensional rectangular cavity over a wide range of aspect ratios (A), Rayleigh numbers (Ra) and Reynolds numbers (Re).

The LBM is applied to simulate the mixed flow. A multi‐relaxation technique was used successfully. A scale order analysis helped the understanding and predicting the overall heat transfer.

In the considered lid driven cavity, the Richardson number emerges as a measure of relative importance of natural and forced convection modes on the heat transfer. An expression of the overall heat transfer depending on the cavity slender (A) is deduced. The validity of the obtained expression was checked in mixed convection under the condition of low Richardson number (Ri) and the limitation condition was deduced.

This paper has implications for cooling system optimization and LBM technique development.

This paper presents a new cooling configuration, avoiding critical situation where the opposing effect induce weak heat transfer; and a stable and fast LBM approach allowing complex geometry treatment.

Since early 2020, the world has faced a pandemic that has caused a disruption in our lives, the likes of which have never been seen before. The COVID-19 pandemic changed the way we live, work, communicate, socialize, travel and even plan our future life. The lockdowns and civilian and travel restrictions imposed by countries worldwide have drastically affected citizens' daily routines and mobility. In consequence, all sectors are currently struggling with an unprecedented crisis, as health-related concerns have substantial effects on travel industry at the local, national and global level. The current increase in mortality rate caused by the new coronavirus has affected individuals' risk and safety perceptions and consequently their travel behaviour.

A quantitative research methodology using an online questionnaire was implemented in Portugal, and a sample composed of 1900 answers collected during one year allowed to analyze the impact that the current pandemic has on people's safety and risk perceptions and how it is affecting their daily life and travel behaviours and their willingness to accept civilian and travel restrictions. The results confirmed that the pandemic had a strong impact on Portuguese residents' safety perceptions and their travel and tourism plans. Also, it was possible to conclude that those perceptions have changed over the course of three pandemic waves.

The discussion focuses on the kind of implications this situation may have for tourism destination management and marketing. Study limitations and guidelines for future research are also forwarded.

The purpose of this paper is to determine the causal relationship between talent management dimensions such as perceived organisational support (POS), human capital index and its influence on the turnover intentions of Generation Y employees in Indian hotel industry. This research will also examine how the intension of hotel employees to quit relates to the talent management practices (TMP) in the Indian hotel establishments.

This research will suggest an integrated conceptual model based on earlier literature where the significant relationships between the relevant constructs will be confirmed. For data collection, a cross-sectional survey plan will be used to collect data from the Generation Y employees working in the 5-star hotels across India. This technique is appropriate for the descriptive and predictive functions associated with correlation research and for measuring the inter-relationship amongst several variables used in the study.

Pearson correlations was applied which exhibited a practically substantial positive relationship between the organisation’s TMP and POS. It was also found that the perceived supervisor support does not mediate the relationship between TMP and intention to quit. The results of this research also approve that employees’ perception regarding the organisation’s actions has direct consequence on their perception of support from their supervisors. The research also found essentially significant negative association between POS and the employee’s intention to quit, where high levels of POS is associated with a reduced employee’s intention to quit the hotel organisation.

This study confirmed a causal relationship amongst the relevant construct, i.e. perceived TMP, the POS, the supervisory support and the Generation Y’s intention to quit. It also provided an understanding for the management to comprehend upon the perceptions regarding TMP and support and how it influences an employee’s intent to leave the organisation in the Indian hotel industry.