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This study developed an extended model of self-congruity by integrating destination image, destination personality, self-congruity, revisit intention and gender.

Surveys were conducted with 645 Chinese tourists visiting New Zealand. Partial least squares structural equation modelling (PLS-SEM) was performed to estimate linkages between destination image, destination personality, self-congruity and revisit intention. To compare effects on revisit intention across male and female Chinese tourists, PLS-Henseler's multigroup analysis and PLS-permutation test were conducted to analyse gender as a moderator in the proposed framework.

Our results revealed positive direct effects among destination image, destination personality, self-congruity and revisit intention. Our findings indicated a highly significant difference in the effects of destination personality on ideal self-congruity across male and female Chinese tourists. The association between destination image and self-congruity identified through this model represents a crucial contribution to the tourism literature. This study also enriches tourism research by comparing male and female Chinese tourists' intentions to revisit New Zealand, having identified crucial heterogeneity within female tourists.

The practical implications from our research can improve destination marketing organization (DMO) officials' awareness of one-time and repeat Chinese tourists' experiences, which strongly trigger subsequent visits.

This paper is the first to examine the direct correlations among destination image, destination personality, self-congruity and revisit intention by considering whether gender might moderate these factors. Our study innovatively adopted PLS-SEM along with several advanced analytical approaches, such as multigroup analysis (MGA) of women and men, to examine our research model.

The relationship between sex and tourism remains ambiguous in the tourism literature. Few studies have examined the underlying motivations behind sex-driven travel, and little is known about factors inhibiting tourists' procurement of commercial sex when traveling. Therefore, this study explored male Chinese tourists' perceived constraints during decision-making and developed a comprehensive scale to assess constraints to commercial sex consumption overseas.

Data were obtained from male Chinese tourists purchasing commercial sex while traveling overseas. This study involved a four-stage process as recommended by Churchill (1979) for scale development research. In Stage 1, preliminary items were generated through a comprehensive review of the constraints literature and in-depth interviews with 16 sex tourists, which generated an initial 26 items. During the second stage to purify the measurement items, six items were eliminated, resulting in 20 items. Stage 3 involved exploratory factor analysis (N = 275) to extract the scale's underlying factor structure. Results revealed a five-factor structure with sufficient evidence of internal reliability given Cronbach's alpha coefficients between 0.722 and 0.843. The final stage included confirmatory factor analysis (N = 259) to verify the scale's reliability and validity.

Ultimately, 20 items were developed to measure sex tourists' perceived constraints toward engaging in commercial sex services overseas based on five factors: structural constraints, intrapersonal constraints, interpersonal constraints, value conflicts and service supply–related constraints.

This study advances the scope of sex tourism research by verifying how these five constraints are independent, generalized and can influence the procurement of sexual services overseas. This study is the first in sex tourism research to explore the difficulties facing sex tourists. Results offer marketers important insight on how to better address these constraints while providing a safe and legal sex tourism experience.

The 2019 novel coronavirus (COVID-19) outbreak is projected to have adverse consequences on the global tourism and hospitality industry. This paper aims to examine how the outbreak may alter Chinese tourists’ lifestyle choices, travel behaviour and tourism preferences in the short and long term.

This paper is based on the synthesis of news broadcasted by several media outlets to be supported by an overview of the related literature on tourism marketing, tourism management and tourist behaviour. The authors’ experiences investigating trends in tourism and hospitality at the local and international level have also contributed to the study.

This paper predicts that COVID-19 will likely affect Chinese travellers’ consumption patterns, such as the growing popularity of free and independent travel, luxury trips and health and wellness tourism. New forms of tourism including slow tourism and smart tourism may also drive future tourism activities. Such changes are likely to force businesses to reconsider their service designs and distribution channels.

While Chinese and other potential visitors rethink how they travel, professionals, too, should reflect upon how to bring positive or negative changes to the tourism industry following this pandemic. Subsequent research should also consider how to mitigate the effects of similar public health crises in the future.

Recommendations for industry practitioners and policymakers focus on tailoring travel arrangements to tourists’ backgrounds. The suggestions may help to alleviate outbreak-related stress, offer travellers newly enriching experiences and partially mitigate the effects of COVID-19 on the tourism and hospitality industry. These recommendations can also apply more broadly to global tourist markets.

The COVID-19 outbreak has already brought significant impacts to nearly every society and industry. Tourism scholars and practitioners should carefully consider this tragedy and how it may inform industry and social practices. This and other public health crises represent sterling opportunities to view the industry holistically in terms of its effects on the environment, climate and travellers themselves.

This paper presumably represents a frontier study, critically examining the possible impacts of COVID-19 on Chinese travellers’ consumption patterns and how the tourism and hospitality industry may respond to such changes in the future.

预计2019年新型冠状病毒（COVID-19）爆发将对全球旅游和酒店业产生不利影响。本文预测, COVID-19可能会影响中国旅客的消费方式, 例如自由行, 豪华旅行以及健康与养生旅游的普及。包括慢速旅游和智能旅游在内的新型旅游形式也可能推动未来的旅游活动。这种变化可能促使企业重新考虑其服务设计和分销渠道。针对行业从业者和政策制定者的建议着重于根据游客的背景和需求量身定制旅行安排。我们的建议可能有助于减轻与疫情暴发导致的压力, 为旅行者提供全新的丰富体验, 并从一定程度减轻COVID-19对旅游业和酒店业的影响。这些建议还可以更广泛地应用于全球旅游市场。

COVID-19, 生活方式 旅游行为 灾后 集体主义倾向 中国

El impacto del COVID-19 se prevé importante en la actividad turística global y en la industria de la hostelería. Este artículo predice que el COVID-19 afectará con probabilidad alta los patrones de consumo de los viajeros chinos, incluyendo los cada vez más populares viajes comprados directamente por los consumidores chinos, en el segmento del lujo, y el turismo de salud y belleza. Nuevas formas de turismo, incluyendo el slow tourism, y el turismo responsable pueden convertirse en importantes tendencias de futuro igualmente. Dichos cambios llevarán con cierta seguridad a la industria a reconsiderar y adaptar su oferta de servicios en este sector, en particular su diseño y los canales de distribución utilizados. Las recomendaciones para la industria y los responsables de la política turística se alinean con una mayor proximidad de la oferta a los gustos cambiantes del consumidor. Dichas acciones ayudarán a reducir fricciones y fallos en la definición del negocio turístico, ofreciendo a los viajeros nuevas y enriquecedoras experiencias, así como podrán mitigar en parte los efectos adversos estimados del COVID-19, los cuales son relevantes a día de hoy. Así mismo, dichas recomendaciones son aplicables de una manera más global a la industria del turismo y la hospitalidad en el mercado mundial.

COVID-19, Estilo de vida, Conducta del viajero, Post-desastre, Orientacion collectivista, China

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.

This study determines the nexus between spiritual leadership and psychological safety (PS). The authors explore the mediating role of PS and knowledge sharing to offer insights on how spiritual leadership can be advanced to better understand and support intellectual capital.

Data were collected using convenience sampling from the Pakistani automobile manufacturing industry. SPSS statistical software was used for descriptive analysis and hypotheses were tested by using the partial least square-structural equation modeling method.

The results demonstrate that spiritual leadership has a significant positive impact on PS; PS has a positive impact on knowledge sharing (KS) and KS has a positive impact on intellectual capital. Furthermore, PS mediates between spiritual leadership and KS. KS mediates between PS and human, social and organizational capital. Spiritual leadership also affects outside the boundaries of the organization and builds strong social relations with suppliers, buyers, etc.

This study provides a deeper understanding of spiritual leadership in the context of KS and intellectual capital in the automobile sector of Pakistan.

This study encourages managers to nurture a philosophy of altruistic love that exerts a positive influence on employees. It will enrich their experience and promote a culture of KS.

This study has social implications for organizations seeking to situate their inclusive goals in society. The findings of this study can help promote harmony as employees who feel psychologically safe are more willing to spread it in society.

This study theoretically contributes the big picture that how spiritual leadership contributes to intellectual capital and adds to the literature on the topic.

Velocity slipping model, based on the stratification theory (the film in inflatable support area of aerostatic guide way was divided into near wall layer, thin layer and continuous flow layer in the direction of height), was established, and the model was combined with viscosity changes in each layer.

Simulated and analyzed by LAMMPS and two-dimensional molecular dynamics method, some relevant conclusions were drawn.

At a high temperature, viscosity is low, velocity slipping is large and velocity gaps in near-wall layer and thin layer are large. When the temperature is constant, the dimensionless slipping length and Kn number are linear.

The effect of the equivalent viscosity on gas slipping model is proposed. viscosity is smaller, gas velocity slipping is greater, temperature is higher, gas velocity slipping is greater, velocity gap of near wall layer and thin layer is larger. When the temperature is constant, the dimensionless slipping length ls and Kn number are linear.

The global model of lubricating film velocity slipping between plates was established, and mathematical expression of slipping model in each layer, based on the stratification theory, was presented.

Using a qualitative approach, this cross-disciplinary study integrating modern slavery, tourism and marketing expertise outlines Chinese outbound tourists' perceptions of and reactions to issues related to child sex tourism.

In total, 27 in-depth interviews were conducted, and data were analysed. Manual coding was chosen as an efficient method to process qualitative interview data given the relatively small sample size in this study.

Three main themes emerged from analysis: (1) tourists' negative perceptions of child sex tourism; (2) tourist boycotts against child sex tourism destinations and activities as reactions to this socially deviant and illegal phenomenon and (3) tourist advocacy to enhance public awareness of child sex tourism. These themes suggest that tourists, as key tourism stakeholders, have difficulty accepting that child sex tourism occurs and would like to identify solutions to end illegal activities. Tourist boycotts would positively affect sustainable tourism development by eliminating illegal businesses, including those involving child prostitution, from the tourism industry. The qualitative method is applied here to develop a conceptual framework explaining tourists' perceptions of and reactions to child sex tourism.

A conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Although this framework takes child sex tourism as its focus, it can also be applied to better understand tourists' perspectives of other socially deviant or illegal behaviours within the tourism industry. The findings of this study provide valuable implications for various tourism stakeholders.

The current study makes significant theoretical and practical contributions to an under-researched topic – child sex tourism. A conceptual framework of Chinese individuals' perceptions of and reactions to child sex tourism has been devised using a qualitative approach. Findings from this study may inspire campaigns to protect children from being drawn into sex tourism. Efforts should also be undertaken to rescue children who have already been victimised by illegal businesses.

This paper aims to evaluate employee’s perception regarding information pollution and determined the factors that lead to perceived infollution. In the case of this study, a four-dimensional scale of perceived infollution is presented. In addition, this study quantified information pollution in contrast to using the measurement tools of information quality.

A sequential exploratory mixed-method design was used to validate the measurement scale. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. In this study, a four-dimensional second-order scale of perceived information pollution with a total of 19 items or sub-dimensions managed to be developed using exploratory factor analysis and confirmatory factor analysis.

The measurement scale confirmed that perceived information pollution in the context of workplace environment consisted of four dimensions, namely, intrinsic PIP, accessible PIP, contextual PIP and representational PIP where PIP stands for Perceived Information Pollution.

Management may use the four dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing.

This is the first attempt of exploring the dimensions and validating the measurement scale of perceived infollution.

A zero-day vulnerability is a complimentary ticket to the attackers for gaining entry into the network. Thus, there is necessity to device appropriate threat detection systems and establish an innovative and safe solution that prevents unauthorised intrusions for defending various components of cybersecurity. We present a survey of recent Intrusion Detection Systems (IDS) in detecting zero-day vulnerabilities based on the following dimensions: types of cyber-attacks, datasets used and kinds of network detection systems.

Purpose: The study focuses on presenting an exhaustive review on the effectiveness of the recent IDS with respect to zero-day vulnerabilities.

Methodology: Systematic exploration was done at the IEEE, Elsevier, Springer, RAID, ESCORICS, Google Scholar, and other relevant platforms of studies published in English between 2015 and 2021 using keywords and combinations of relevant terms.

Findings: It is possible to train IDS for zero-day attacks. The existing IDS have strengths that make them capable of effective detection against zero-day attacks. However, they display certain limitations that reduce their credibility. Novel strategies like deep learning, machine learning, fuzzing technique, runtime verification technique, and Hidden Markov Models can be used to design IDS to detect malicious traffic.

Implication: This paper explored and highlighted the advantages and limitations of existing IDS enabling the selection of best possible IDS to protect the system. Moreover, the comparison between signature-based and anomaly-based IDS exemplifies that one viable approach to accurately detect the zero-day vulnerabilities would be the integration of hybrid mechanism.

This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.

Aiming at the multiphysical mechanism of the discharge ablation process, a multiphysical field model based on plasma energy deposition is established to analyze the discharge characteristics of the power cable bellows. The electrostatic field, plasma characteristics, energy deposition and temperature field are analyzed. The discharge experiment is also carried out for result validation.

The physical mechanism of the bellows ablative effect caused by partial discharge is studied. The results show that the electric field intensity between the aluminum sheath and the buffer layer easily exceeds the pressure resistance value of air breakdown. On the plasma surface of the buffer layer, the electron density is about 4 × 1,019/m³, and the average temperature of electrons is about 3.5 eV. The energy deposition analysis using the Monte Carlo method shows that the electron range in the plasma is very short. The release will complete within 10 nm, and it only takes 0.1 s to increase the maximum temperature of the buffer layer to more than 1,000 K, thus causing various thermal effects.

Its physical process involves the distortion of electric field, formation of plasma, energy deposition of electrons, and abrupt change of temperature field.