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The long-term trend of sustained growth of tourism travel and activities, that has characterised the last decades, was forced to an abrupt halt at the beginning of 2020. This was due to the regulations that restricted mobility and tourism activities in many countries as a response to the hazard to health caused by the COVID-19 pandemic. Among the various possible scenarios proposed by the UNWTO and by other international organisations, the worst one characterised the decline of travel and tourism in 2020, with the exception of a short-lived increase in the summer months, mainly due to domestic tourism. This sector was the hardest hit by this pandemic emergency, requiring a response both by policy makers and by private organisations.

The present chapter provides a survey of the effects of the COVID-19 on the tourism market in the various world regions, pinpointing the similarities and heterogeneities among them. Moreover, it summarises the policy responses and the private schemes that have aimed at tackling this emergency. The analysis will consider both the initiatives related to travel and tourism demand and those addressed to the supply side of the market, assessing their likely long-term outcomes. Finally, it will discuss the future of tourism travel and the potential impact of COVID on that future.

With the current global downturn, companies must develop new and innovative approaches to ensure that economic sustainability is achieved. The purpose of this paper is to propose a Fit Manufacturing Framework (FMF), the adoption of which can help manufacturing companies to become economically sustainable and operate effectively in a global competitive market. This contribution extends the previous work by the authors and provides an evolution on the initial work through enhancing the development of Fit manufacture through developing a more robust framework and a more comprehensive functional testing of the framework.

The proposed FMF provides a new manufacturing management perspective and a new manufacturing management strategy for creating economically sustainable manufacturing organisations. It builds upon the principles of existing manufacturing paradigms, along with innovative management concepts, to set up the conditions necessary for sustainability. A pilot application of the framework in three SMEs shows positive initial results when assessed against four Measures of Performance.

Manufacturing strategies such as Lean and Agility allow companies to deliver bottom‐line savings in production terms, although their effectiveness depends upon the volume and demand profile of their products. The trend towards mass customisation requires companies to provide personalised products and services at mass production prices. This now places a further burden on companies and therefore a holistic manufacturing framework must be developed in order to ensure that the factory of the future is able to meet this new demand. This paper proposes a Fit manufacturing paradigm which integrates the manufacturing efficiencies achieved through Lean and Agility with the need to break into new markets through effective marketing and product innovation strategies to achieve long term economic sustainability. The small‐scale application of the approach in a case company shows the initial results to be positive when measured against key MOPs developed within this paper.

The development of a Fit paradigm aimed at tackling directly the issues of economic sustainability is proposed and is considered by the authors as one of a kind. Fit will also provide a framework for the implementation of sustainable manufacturing operations within organisations.

Different from most academic publications about tourism in Brazil, this paper provides an overarching and comprehensive perspective. Analysing key developments, and focusing on the period 2000–2019, this paper also considers long-standing structural issues that hinder tourism development. Although this viewpoint paper deals with Brazil, very similar issues can be identified for many countries worldwide.

This viewpoint paper is a combination of reflections by leading Brazilian tourism academics; most are members of ABRATUR, the International Academy for the Development of Tourism Research in Brazil. This paper uses secondary data from the grey (e.g. government reports) and academic literature to support this opinion paper. The tourism-related topics covered in this paper include economics, policy and planning, marketing, transport, nature-based tourism, gastronomy, hospitality and education, amongst others.

Brazil has missed several unique opportunities to place it as a destination of international renown. Since the 1990s, efforts to support regional tourism development have achieved only moderate success as political instability, violence and corruption have impacted tourism. A lack of a coordinated approach between the various levels of government, a shortage of tourism data and a long-term supra-government marketing campaign, among other factors, have meant Brazil has missed several critical opportunities in the 2010s to establish itself as a leading tourism destination in the global market.

From leading tourism academic experts in Brazil, a unique opinion paper offers an overview of the critical development issues in 2000–2019. The paper presents matters that have hindered potential tourism contributions to the largest nation in South America. While these matters may be specific to Brazil, many of these challenges are not dissimilar to those in other emerging (democratic) nations. The authors offer several public policies and technical recommendations to scaffold tourism development towards the 2030 agenda.

本篇观点论文是巴西前沿旅游学者们思考的集合, 其中大多数的学者是巴西旅游发展国际研究院ABRATUR的成员。这篇论文使用了诸如政府工作报告的二手数据和学术文献来支撑文章观点。其中涉及的与旅游相关的主题包括经济学, 政策和规划, 市场营销, 交通, 自然旅游, 烹饪学, 酒店, 教育等等。

与巴西大多数旅游研究的出版物不同, 本文提供了一个重要且全面的视角。文章重点分析了从2000-2009年的旅游业主要发展状况, 同时考虑了阻碍旅游业发展的长期结构性问题。尽管此观点论文涉及巴西, 但在世界许多国家都可以发现非常相似的问题。

巴西已经错失了作为国际知名旅游目的地的几个独特机会。二十世纪九十年代以来, 因为政治动荡, 暴力和腐败对旅游业的影响, 支持区域旅游业发展的努力仅仅取得了有限的成功。各级政府之间缺乏协调方式, 旅游数据短缺和长期的跨政府营销活动等因素, 已经意味着巴西在二十一世纪前十年已经错失了将自己在全球市场中确立为领先旅游目的地的几个重要机会。

这篇来源于一些巴西学术旅游届的领头羊的独特观点论文概述了从2000年到2019年巴西旅游业发展的关键问题。本文介绍了那些已经阻碍南美洲最大旅游国家潜在旅游业贡献的重要事项。尽管这些事项可能是巴西独有的, 但是其中许多问题与其他新兴的（民主的）国家也没有什么不同。我们提供了一些公共政策和技术建议, 以支持旅游业向2030年议程迈进。

Este artículo de opinión es una combinación de reflexiones de destacados académicos brasileños del turismo, la mayoría miembros de ABRATUR, la Academia Internacional para el Desarrollo de la Investigación en Turismo en Brasil. Se utilizan fuentes secundarias (por ejemplo, informes gubernamentales) y literatura académica para respaldar este artículo. Los temas relacionados con el turismo que se tratan en este documento incluyen economía, política y planificación, marketing, transporte, turismo basado en la naturaleza, gastronomía, hotelería, y educación, entre otros.

A diferencia de la mayoría de las publicaciones académicas sobre el turismo en Brasil, este artículo ofrece una perspectiva global e integral. Al analizar los desarrollos clave y centrarse en 2000–2019, este documento también considera problemas estructurales de larga data que obstaculizan el desarrollo del turismo. Aunque este documento trata de Brasil, se pueden identificar problemas muy similares en muchos otros países del mundo.

Brasil ha perdido varias oportunidades únicas para colocarse como un destino de renombre internacional. Los esfuerzos realizados desde la década de 1990 para apoyar el desarrollo del turismo regional solo han logrado un éxito moderado debido a que la inestabilidad política, la violencia y la corrupción han impactado al turismo. La falta de un enfoque coordinado entre los distintos niveles de gobierno, la escasez de datos turísticos, una campaña de marketing supra gubernamental a largo plazo, entre otros factores, han significado que Brasil haya perdido varias oportunidades críticas en la década de 2010 para establecerse como un destino turístico líder en el mercado global.

Un artículo de opinión único de destacados expertos académicos en turismo en Brasil, que ofrece por primera vez una visión general de los problemas críticos del desarrollo desde la década del 2000. El documento presenta asuntos que han obstaculizado las posibles contribuciones del turismo a la nación más grande de América del Sur. Si bien estos asuntos pueden ser específicos de Brasil, muchos de estos desafíos no son diferentes a los de otras naciones (democráticas) emergentes. Ofrecemos diversas recomendaciones técnicas y de políticas públicas para impulsar el desarrollo turístico hacia la agenda 2030.

This chapter provides information on the development of Vietnamese education under the influence of global forces based on the analysis of relevant education research and policies using Wolhuter’s frameworks. In the process of coming up with ways to develop education in the face of different influences of globalization, besides having reactions with patterns commonly found in countries around the world, Vietnam also has responses that reflect its own political, sociocultural and economic characteristics. The state still plays a controlling role in education at all levels and many culture-related features that have existed throughout the country’s history have hardly changed, namely aspects related to teachers, learners and teaching and learning methods. To sustain its education in the globalized era, Vietnam must make more efforts in various aspects such as the link between education and employment, the logic of education objectives, the feasibility and appropriateness of curricula, quality of education, especially of higher education and equality in education for underprivileged groups.

Information sharing is one of essential collaboration methods for building effective system-level disruption responses and communication for supply chain resilience. However, supply chain members are often reluctant to share the members' business information for fear of losing competitiveness. To facilitate the cooperation among these members, the supply chain members' should be made aware of the value of information. As a result, the purpose of this paper is to quantify the benefit of information sharing and evaluate its magnitude under various factors.

In this paper, information sharing is measured in a two-stage supply chain containing a manufacturer and a retailer. A demand function is constructed as a linear combination of a first-order autoregressive [AR(1)] process, the retail and reference prices. The values of information sharing are quantified for four scenarios: (1) no information sharing, (2) full information sharing, (3) limited information sharing and (4) partial information sharing. Based on the four scenarios, the conditions for valuable information sharing are determined. In addition, the impact of several demand parameters on the usefulness of information sharing is analyzed.

When the demand function is a pure AR(1) process (i.e. there is no impact from the retail and reference prices), information sharing is always valuable regardless of the autoregressive coefficient. Under the influence of the retail price and consumer behavior via the reference price, information sharing is not always beneficial. The boundaries for useful information sharing are analytically constructed. In addition to full information sharing, this study also quantifies the value of information under a partial sharing scheme. The results indicate that the information is more valuable as long as the information is inducible.

This study highlights several specific conditions for a beneficial information sharing agreement in consideration of consumer behaviors. These conditions enable supply chain members to design a sustainable partnership.

This study aims to examine the relationships among fear of COVID-19, job stress, job commitment and intention to quit. It also investigates the boundary conditions of the impact of fear of COVID-19 on job stress and intention to quit, a research gap that has not been addressed yet.

This research focused on full-time frontline hotel employees who have been working in four- and five-star hotels in Ho Chi Minh City, Vietnam. A pilot test was performed before collecting formal data. The survey was conducted face-to-face on site so that any potential confusion could be clarified right away. 487 valid responses were analyzed using SPSS 28 and SmartPLS 4.

The majority of hypotheses were supported, with the results suggested that supervisor support contributes to reducing the tendency of hotel employees to quit their job and their job stress. Besides, government support is necessary to make staff feel secure during the pandemic.

This study contributes to pointing out central priorities in making decisions by hotel managers when facing crises. Managers need to focus more on measures to help their employees feel secure and should be available for guidance and feedback when nedeed. Additionally, supportive policies from the government, especially financial support, can provide hotel employees with resources they need to maintain a basic level of living in the face of a severe drop in their income. The study provides the hotel industry not only in Vietnam but also in countries with comparable settings with strategies to cope with unexpected events.

Research on intention to quit a job has mainly focused on a complex interplay of internal factors. However, the influence of fear of COVID-19 on intention to quit a job has not been studied in the context of Vietnamese hotel industry yet. During the COVID-19 pandemic, a number of hotels in Vietnam had to close due to a lack of visitors, which had a negative impact on human resources. Accordingly, fear, stress, commitment and intention to quit a job are the issues faced by staff.

This paper aims to analyze the development of global human resource development (HRD) articles published in journals indexed in the Scopus database since 1960s until present time.

A publication collection of 1,905 articles collected from the Scopus database was downloaded and analyzed by using bibliometric techniques available in the VOSviewer and Biblioshiny software.

Three different development stages of HRD research have been identified: a seeding stage between 1962 and 1989, a growth stage between 1990 and 2007 and a development stage from 2008 onward. The USA and the UK were the biggest contributors who participated to 30.02% and 12.55% of articles in the collection and received 43.82% and 19.54% of the total number of citations, respectively. Scholars with the most publications and citations are mostly from the USA and the UK, and nine over ten most cited articles having first author’s affiliation located there. Emerald Group is the most popular publishing house, as five over ten most popular journals belong to this publishing house.

After six decades of development, it is necessary to examine the evolution of HRD research, its characteristics and its intellectual framework as this type of analysis is not yet available in the literature. This study helps scholars better understand this research field, as well as better prepare for future work in HRD.

Data crawling in e-commerce for market research often come with the risk of poor authenticity due to modification attacks. The purpose of this paper is to propose a novel data authentication model for such systems.

The data modification problem requires careful examinations in which the data are re-collected to verify their reliability by overlapping the two datasets. This approach is to use different anomaly detection techniques to determine which data are potential for frauds and to be re-collected. The paper also proposes a data selection model using their weights of importance in addition to anomaly detection. The target is to significantly reduce the amount of data in need of verification, but still guarantee that they achieve their high authenticity. Empirical experiments are conducted with real-world datasets to evaluate the efficiency of the proposed scheme.

The authors examine several techniques for detecting anomalies in the data of users and products, which give the accuracy of 80 per cent approximately. The integration with the weight selection model is also proved to be able to detect more than 80 per cent of the existing fraudulent ones while being careful not to accidentally include ones which are not, especially when the proportion of frauds is high.

With the rapid development of e-commerce fields, fraud detection on their data, as well as in Web crawling systems is new and necessary for research. This paper contributes a novel approach in crawling systems data authentication problem which has not been studied much.

Distribution network design involves a set of strategic decisions in supply chains because of their long-term impacts on the total logistics cost and environment. To incorporate a trade-off between financial and environmental aspects of these decisions, this paper aims to determine an optimal location, among candidate locations, of a new logistics center, its capacity, as well as optimal network flows for an existing distribution network, while concurrently minimizing the total logistics cost and gas emission. In addition, uncertainty in transportation and warehousing costs are considered.

The problem is formulated as a fuzzy multiobjective mathematical model. The effectiveness of this model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network with 22 products and a planning horizon of 20 periods. The model is solved by using the min–max and augmented ε-constraint methods with CPLEX as the solver. In addition to illustrating model’s applicability, the effect of choosing a new warehouse in the model is investigated through a scenario analysis.

For the applicability of the model, the results indicate that the augmented ε-constraint approach provides a set of Pareto solutions, which represents the ideal trade-off between the total logistics cost and gas emission. Through a case study problem instance, the augmented ε-constraint approach is recommended for similar network design problems. From a scenario analysis, when the operational cost of the new warehouse is within a specific fraction of the warehousing cost of third-party warehouses, the solution with the new warehouse outperforms that without the new warehouse with respective to financial and environmental objectives.

The proposed model is an effective decision support tool for management, who would like to assess the impact of network planning decisions on the performance of their supply chains with respect to both financial and environmental aspects under uncertainty.