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In developing countries such as India, start-ups play an essential role in “industrial output,” “Gross Domestic Product ” and “employment creation.” Evidence suggests that pandemics have risen over the last century due to rising global travel and assimilation, urbanization, alterations in land use, and significantly larger exploitation of the natural environment. These trends are likely to continue and intensify. These pandemic episodes affect businesses, especially start-ups. Supplier selection is among the vital critical elements that start-ups must include in start-ups' strategy procedures during the pandemic episodes. This study's focus is to “identify,” “analyze,” and “categorize” the factors affecting supplier selection in start-ups during frequent pandemic episodes like coronavirus disease 2019 (COVID-19).

Through “literature review” and “experts' opinion” from various start-ups in India, ten affecting factors were identified. Total Interpretative Structural Modeling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) were employed to analyze the interrelationship among the factors affecting the supplier selection on start-ups during frequent pandemic episodes, and these factors were ranked as “autonomous,” “independent,” “linkage,” and “dependent” factors.

The findings show that “performance history,” “service levels,” “technical capability,” and “financial stability” are the most critical factors affecting the supplier selection on start-ups during frequent pandemic episodes. The next importance should be safety and environmental concern” and “quality.”

The factors affecting supplier selection on start-ups during frequent pandemic episodes are the current focus of this study. This study is mainly performed on Indian start-ups and can be extended to other countries.

The start-ups can rely on this study to clearly understand the factors affecting the supplier selection on start-ups during frequent pandemic episodes.

There is no research regarding factors affecting supplier selection on start-ups during the COVID-19 emergencies. This research gap is filled by analyzing aspects linked to supplier selection in start-ups. This gap inspired the present study, which employs the “Total Interpretive Structural Modeling (TISM)” technique to uncover supplier selection determinants and investigate hierarchical interconnections among factors influencing/affecting supplier selection in start-ups during frequent pandemic episodes.

In this work, we estimated the impact that the US VIX, economic policy and epidemic uncertainty indexes had on leisure and recreation stocks. We extended the current literature in two ways: first, we estimated the smoothed probabilities of being in ‘normal’ ( s = 1 ), ‘distress’ ( s = 2 ) and ‘crisis’ ( s = 3 ) episodes in the Refinitiv global leisure and recreation index. Then, we estimated the influence that the VIX and uncertainty indexes had on the generation of distress and crisis episodes in these stocks. By using logit regressions, we found out that only the US Economic policy uncertainty index is a detonator of distress and crisis episodes. We also found that the pandemic (COVID-19) news uncertainty has no significant and direct influence on the smoothed probabilities. Finally, and complementary to the current literature, we found that the volatility spillover effect from the S&P 500 to these stocks generates extreme volatility (crisis) episodes. Our results could be of use for practitioners and scholars and could provide a model to forecast distress and crisis episodes among leisure and recreation stocks. This model could be used for potential portfolio management or economic (tourism) policy purposes.

There is little knowledge to date regarding the influence of the COVID-19 health crisis on tourists' intention to travel differently in the future. This paper addresses this and explores its determinants. The objective of the present study is to determine to what extent the Spanish tourists affected by COVID-19 may change the way they travel in the future, according to the perceived risk of travel in a pandemic context.

Between May and June 2020, the authors conducted a survey with a sample population of Spanish tourists who were resident in Spain during the COVID-19 pandemic, for the purposes of studying the role of attitudes and risk in the intention to change the way they want to travel in the future. Cluster analysis and one-way ANOVA were conducted to assess differences among the respondents. Finally, some models were built using the linear regression technique in order to evaluate the role of attitudes in the tourists' adaptive response to the perceived risk of travel.

Results confirm the formation of a new way of life influencing tourists' intentions to travel more sustainably. Accordingly, tourists with a previous environmental attitude are less interested in visiting mass tourism beach destinations in the future. However, changes in the way some tourists travel can also be read as an adaptive and temporary response to the perceived risk of contracting the disease, and do not point to a reduction of the vital importance of tourism in their lives.

The exploratory nature of the study and the lack of similar international analyses does not allow the authors to contrast its results at a global level, though it offers a starting point for future research in other countries. There are also methodological limitations, since the field work was carried out between the first and second waves of the disease, at a time when the pandemic was in remission, possibly affecting the orientation of some responses, given the desire to recover normalcy and “normal” travel, and this may have influenced the priority given to tourism.

This study gives new insights into the debate on the social transformation of the collective consciousness. Despite some signs of change, part of the Spanish tourists are still anchored in traditional tourism practices embedded in cultural factors, which can hinder sustainability in the Spanish tourism industry. The experience of the COVID-19 crisis has not been sufficient to change the declared travel habits of Spanish tourists. Therefore, progress towards the definition of a new tourism system that implies the effective transformation of demand will require applying policies and promoting institutional innovation and education to create paths that facilitate transformative experiences.

The study is focused on the analysis of the relationship between attitudes and risk perception, including novel elements that enrich the academic debate on social progress in the transformation of tourism and the possibilities of promoting a reset from the demand side. Moreover, it incorporates, for the first time, the COVID-19 as it was experienced as an explanatory variable to analyse the changing travel attitudes in a post-COVID-19 era. The analysis of the psychosocial mechanisms of risk offers a good opportunity for a better assessment of post-pandemic demand risk perception. Finally, the study offers empirical evidence on how Spanish tourists are reimagining their next and future holidays, which can be highly valuable for destination managers.

The sudden outbreak of COVID-19 shook up the Global tourism and threatened many tourism destinations. After the first wave of COVID-19, the invention of vaccines prevented the spread of virus and the industry started healing itself. However, the second wave of the pandemic disrupted the recovery plans and polices of many tourism companies and planners. Tourism and Hospitality industry has faced many challenges in the past. But pandemic of this magnitude was unexpected. The impact is much deeper and complete end of such virus is unpredictable. The need of the hour is to take actions to unpack and reduce such recurring repercussion of COVID-19 and rethink and repackage tourism for restoring the demand. This foregrounds a framework to identify the impact of COVID-19 on Odisha Tourism and formulate a strategic approach for the restoration and survival of the tourism industry in Odisha. The study is both exploratory and descriptive in nature, based upon a qualitative research approach and includes collection of both primary and secondary data. Results of the study reveal that lockdown/shutdown and other restrictions due to pandemic have impacted the key tourism stakeholders in Odisha leaving them under financial instability. The study emphasises on promotion of domestic tourism in a big way. The study focuses on alternative tourism development and improved infrastructure relating to the screening, sanitisation and social distancing of the visitors will build confidence among the visitors and recreate interest in travel. IATA Travel Pass/Vaccination certificate should be a mandatory travel document for safe travel practice.

Early evidence suggests that coronavirus disease 2019 (COVID-19) caused a sharp deterioration in fiscal accounts worldwide. This paper empirically assesses the fiscal impact of previous pandemics and epidemics.

Using a large sample of 170 countries from 2000 to 2018, this study relies on Jordà's (2005) local projection method to trace pandemics' short- to medium-term dynamic impact on several fiscal aggregates.

This paper shows that (qualitatively) similar responses to those observed more recently with COVID-19 have characterized the effects of previous pandemics. While the fiscal effect has been economically and statistically significant and persistent, it varies; pandemics affect government expenditures more strongly than revenues in advanced economies, while the converse applies to developing countries. The author also finds that asymmetric responses depend on whether a country is characterized as a chronic fiscal surplus or deficit type. Another factor that generates an asymmetric fiscal response is the prevailing phase of the business cycle the economy was in when the pandemic shock hits.

This paper's findings provide a lower bound to what the current COVID-19 pandemic will inflict on countries’ fiscal situation. That said, the set of pandemics and epidemics used in this paper are geographically more concentrated and did not affect all countries in such a systemic and synchronized manner as did COVID-19 more recently.

This is the first paper to explore the fiscal side of this type of health-related shocks, as most of the literature has focused on the more traditional macroeconomic effects.

American federalism permits the states a good deal of latitude for action, and, at the same time, the federal government can exercise control through both mandates and the use of its financial powers. During the COVID-19 pandemic, the federal relationship was strained not only because of the sheer magnitude of the crisis but also because of political conflicts between the federal government and some of the states. During the Trump administration, the federal government initially denied the importance of the pandemic, and then (except for encouraging the development of vaccines) did little to support the states or citizens in fighting the virus. The Biden administration, on the other hand, was active in distributing the vaccine and in supporting other responses to the pandemic. The pandemic also exposed the underlying weaknesses in the public health system of the United States and the extent to which years of conflict between levels of government have reduced effective cooperation, even in times of crisis.

The purpose of this paper is to review the techniques for versatile advancements in contact tracing for the coronavirus disease 2019 (COVID-19) positive cases in this pandemic and to introduce the way of using the mobile location information collected within the country India. As the method, an exploratory review of current measures was conducted for confirmed COVID-19 contact tracing after understanding the current situation of the world. This paper has examined the way of using free locational information in an innovative way to reduce the spread of COVID-19 spread.

COVID-19 pandemic is the utmost global economic and health challenge of the century. One powerful and consistent procedure to slow down the spread and decrease the effect of COVID-19 is to track the essential and auxiliary contacts of confirmed COVID-19 positive cases by using contact-tracing innovation.

Although it takes the information from various clients, there are numerous odds in the information. The sincere measures were taken by the authors to avoid the abuse of information by any kind. A portion of the tips for keeping information from getting abused is on the whole, the information ought to be with just higher specialists, and they ought not to have the authorization to impart information to anybody.

This paper helps to track the COVID-19 positive cases as of now by using the field information assortment and outbreak examination stages. At the same time, mobile location information used inside the current guideline, rules for information handlers must incorporate measures to reduce the abusing of information.

This study aims to confirm the expected impact of coronavirus (COVID-19) related to perceived travel risk on the likelihood of tourists to visit a destination. It then aims at identifying the key predictors of perceived travel risk in the aftermath of the COVID-19 pandemic. A theoretically grounded framework is proposed which can be further improved to understand and predict international travel behaviours within the context of global pandemics.

A mixed-methods design is adopted. In the first phase referred to as Study 1, a cross-sectional design is used based on a sample of 217 international outgoing tourists surveyed at the Mauritian International Airport and data is analysed using hierarchical regression. In Phase 2, referred to as Study 2, a purposive sample of tourists around the world are interviewed and data is analysed using the thematic analysis technique.

The results show that amongst those tourists who are willing to travel in the aftermath of the COVID-19 crisis, the related perceived risk is likely to influence their travelling intention. Several key predictors of perceived travel risks are uncovered, those are categorised as COVID-19 status; transportation services; national sanitary measures; health-care services; accommodation services; ecotourism facilities. Moreover, the potential effects of those factors on perceived COVID-19 related travel risk are likely to be moderated by the trustworthiness of the information.

The implications of the study are important for researchers and policymakers to better understand and predict travellers’ behaviour in times of pandemics. These implications are also important to tourism marketers and transport and hospitality service providers to more effectively manage and mitigate the effect of such events.

The study provides an original comprehensive model grounded in the social cognitive theory and protection motivation theory to understand the predictors of perceived travel risks in relation to COVID-19 at a destination.

本文采用了混合的研究方法设计。在研究1的第一阶段中, 本文采用了横向比较研究设计, 对在毛里求斯国际机场进行调查收集的217名国际出境游客样本, 使用分层回归分析了数据。在第二阶段（研究2）中, 采用了立意取样的抽样方法, 采访了来自世界各地的旅游者, 并使用主题分析技术对数据进行了分析。

这项研究证实了与COVID-19相关的感知旅行风险对游客访问目的地的可能性的预期影响。然后, 它旨在确定COVID-19大流行后感知的旅行风险的关键影响因子。

结果表明, 在COVID-19危机之后愿意旅行的那些游客中, 相关的感知风险很可能会影响他们的旅行意图。感知的旅行风险的几个关键影响因素分为：COVID-19状况; 运输服务; 国家卫生措施; 医疗服务; 住宿服务; 生态旅游设施。而且, 这些因素对与COVID-19相关的感知旅行风险的潜在影响可能会受到信息的可信度的调节影响。

该研究对于研究人员和决策者更好地了解和预测大流行期间旅客的行为, 以及旅游营销人员以及运输和酒店服务供应商提供有效管理和减轻此类事件的影响具有重要意义。

该研究提供了一个原创且全面的模型, 以了解与目的地COVID-19相关的感知旅行风险的影响因素。

Se adopta un diseño de métodos mixtos. En la primera fase, denominada estudio 1, se adopta un diseño transversal basado en una muestra de 217 turistas internacionales encuestados salientes del Aeropuerto Internacional de Mauricio y los datos se analizan mediante regresión jerárquica. En la segunda fase, denominada estudio 2, se entrevista a una muestra intencional de turistas de todo el mundo y se analizan los datos mediante la técnica de análisis temático.

Este estudio confirma empíricamente el impacto esperado de la percepción del riesgo de viaje relacionado con COVID-19 sobre la probabilidad de que los turistas visiten un destino. A continuación, tiene por objeto identificar los principales factores de predicción del riesgo percibido de los viajes tras la pandemia de COVID-19.

Los resultados muestran que entre los turistas que están dispuestos a viajar tras la crisis de COVID-19, es probable que el riesgo percibido relacionado influya en su intención de viaje. Se han descubierto varios predictores clave de los riesgos percibidos de los viajes, que se clasifican como: Situación de COVID-19; servicios de transporte; medidas sanitarias nacionales; servicios de salud; servicios de alojamiento; instalaciones de ecoturismo. Además, es probable que los posibles efectos de esos factores en la percepción de los riesgos de viaje relacionados con COVID-19 se vean moderados por la fiabilidad de la información.

Las repercusiones del estudio son importantes para que los investigadores y los encargados de formular políticas comprendan y prevean mejor el comportamiento de los viajeros en épocas de pandemia y también para que el mercado turístico y los proveedores de servicios de transporte y hostelería gestionen y mitiguen más eficazmente el efecto de esos acontecimientos.

El estudio proporciona un modelo original y completo para comprender los predictores de los riesgos percibidos en los viajes en relación con COVID-19 en un destino.

Tourism and health outbreaks share a symbiotic history (Hall, Scott, & Gössling, 2020; Ozbay, Sariisik, Ceylan, & Çakmak, 2021). Pandemics, epidemics, and endemics have transformed the perception of tourists. Previous outbreaks were geographically limited, resulting in the substitution effect (Prideaux, 2005; van der Veen, 2014). However, the COVID-19 pandemic urged the authorities to cease mobility worldwide. Evidently, mobility-oriented businesses like tourism have received immediate impacts from the pandemic. From shutdown to the minimum clearances, under strict restrictions, the tourism industry suffered atypical outcomes. Heat check-meters, contactless check-ins and check-outs, automotive service trays and counters, and reduced carrying capacity have been introduced to curb the impact of the pandemic on tourism. Tourism requires, throughout its cycle—before, during, and after the trip—the use of artificial intelligence, virtual reality, augmented reality, the internet of things, and geotargeting (Buhalis & Amaranggana, 2015). The usage of technology has been assured to be compatible with the prerequisites of restrictive and compliance measures (Lau, 2020). Moreover, in the supply sector, a competitive environment has also been created to market these new modified products and services. This chapter pursues the investigation of new offerings in a different normal, concerned with health issues, ethical behaviors, and trips with a social purpose to contribute to local development. Secondary data analysis has been performed to achieve this goal. This study implicates the new offerings duly implemented during the new normal.