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This study aims to explain how the impact of COVID-19 on human mobility is affected by the perceived risk of the pandemic.

Using a statistical analysis and a geographic visualization technique, we investigate whether and how changes in people’s restaurant visiting patterns during COVID-19 vary with their level of risk perception.

The changes in people’s restaurant visiting patterns vary with their risk perception: the tendency to increase the number of visits to restaurants located in non-popular areas is related to the level of perceived risk.

This research confirms the importance of risk perception when examining the pandemic’s multi-dimensional impacts.

这项研究旨在解释 COVID-19 对人类流动性的影响如何受到大流行的感知风险的影响。

使用统计分析和地理可视化技术, 我们调查人们的餐厅是否以及如何变化COVID-19 期间的访问模式因他们的风险感知水平而异。

人们的餐厅光顾模式的变化随着他们的风险感知而变化：去位于非热门区域的餐厅的光顾次数增加的趋势与感知的风险水平有关。

这项研究证实了在检查大流行的多维影响时风险认知的重要性。

Mediante un análisis estadístico y una técnica de visualización geográfica, investigamos si los cambios en los patrones de visita a restaurantes de las personas durante COVID-19 varían en función de su nivel de percepción del riesgo y cómo lo hacen.

Esta investigación pretende explicar cómo el impacto de COVID-19 en la movilidad humana se ve afectado por el riesgo percibido de la pandemia.

Los cambios en las pautas de visita a restaurantes de las personas varían en función de su percepción del riesgo: la tendencia a aumentar el número de visitas a restaurantes situados en zonas no populares está relacionada con el nivel de riesgo percibido.

Esta investigación confirma la importancia de la percepción del riesgo a la hora de examinar los impactos multidimensionales de la pandemia.

The knowledge that is embedded within people, relationships, and organizational routines present key, but varied, sources of capabilities needed to compete. The value of this knowledge depends on the investment costs and benefits that come as employees draw on and utilize these different forms of knowledge to respond to global challenges. But something as intangible as knowledge can be a major source of misunderstanding and mismanagement. The purpose of this paper is to develop a framework that explores the underlying path of how knowledge assets might be configured to overcome misunderstanding and mismanagement.

The authors develop a framework to help scholars and organizations understand how to manage their different knowledge assets to ensure continual organizational effectiveness. To do this, the authors juxtapose three classes of knowledge assets – human capital, social capital, and organizational capital – against three types of learning – knowledge generation, transfer, and application.

The framework the authors develop provides both theoretical and practical insight into how organizations can manage their knowledge assets to overcome learning challenges.

The framework helps understand how organizations might align learning with their strategic challenges. It is useful in helping organizations develop a better understanding of the costs and benefits of different knowledge-management interventions according to the nature of the task and the learning needs of their organizations. When firms are confronted with challenges that present a great deal of uncertainty and they are in need of knowledge generation, transfer, and/or application, the framework could help them to identify which assets to invest in as well as the potential benefits of the investments.

This paper is unique in that it provides a framework linking knowledge assets with organizational learning in a way that has not been done before. It also outlines specific human resource approaches to managing these different configurations.

This paper aims to discuss the history of human migration till the present day.

The authors analyze the human movement from pre-hominid times, forming patterns of existence. Thus, ambient sun and water, weather and climate extremes, shelter, food supply, natural or human-made disasters gave rise to Homo sapiens’ wanderlust.

Despite obstacles, formidable barriers and even perilous deterrents, the species explored and exploited new soils and waters, whether beneficial or destructive of nature’s ample providence.

The authors treat societal as well as individual action, cultural behavior and the emergence of economic anthropology. Migratory legislation and regulation now risk transformation into resentment and then xenophobia.

This article addresses some of the most pressing issues related to climate change and its potential consequences, namely population migration in Southeast Asia. It sheds light on how slow-onset events interact with other variables to limit the ability of people to adapt to stressors through human mobility.

The study adopts an analytical methodology to evaluate the extent to which the planning policy framework addresses these issues within the context of achieving resilient development.

Climate stressors will force millions of people to move within their own countries, while others will be forced to cross international borders, leaving others stranded. Desertification, sea level rise, ocean acidification, air pollution, changing rainfall patterns and biodiversity loss are all examples of slow-onset processes that the author believes will be exacerbated by climate change.

This will exacerbate many existing humanitarian issues, and more people may be forced to flee their homes as a result. This research helps improve the understanding of migration’s social, economic and environmental implications.

The research offers a novel perspective and analysis of the unique migration challenges arising from climate change in the Southeast Asian context.

‘Planned relocation’ has emerged in the international climate policy arena as an ‘adaptation’ solution with the potential to enhance resilience, address underdevelopment and debunk age-old narratives around migration as a risk to peace and security. In 2018, Fiji became one of the first countries to develop Planned Relocation Guidelines, with upwards of 80 villages thought to require relocation over the coming years due to the impact of climate change. Through interviews carried out with representatives from organisations involved in planning for community relocations in Fiji, this chapter explores the creation of planned relocation as a form of climate change adaptation and development. Looking specifically at the value-based challenges of implementation in Fiji, this research provides insight into what happens when dominant international policy narratives play out in practice. Through the presentation of culturally nuanced ways of understanding the problem of climate-induced migration, this chapter invites policymakers to seek out these voices when devising displacement solutions.

The spread of COVID-19 from Wuhan to the global countries has a direct association with human mobility. Perhaps, human mobility increases the hazards of COVID-19 due to its communicable characteristic of human-to-human transmission. Thus, the volume of migrants and migration may have a significant role in the outbreaks of COVID-19 in any country. Given that India homes more than 45 crores of migrants, the present study aims to examine the linkages between migration flows and COVID-19.

The present study has used secondary sources such as data sharing portals, census, news and media reports and Web sources. The updated COVID-19 data was retrieved from the www.covid19india.org, whereas migration rates were analysed from the D-series of census 2011.

Nearly 23% of total inter-state migration occurred for the livelihood only. The numbers of cases have raised much earlier and faster in migrant's destination states than in migrant's origin states. Further, as shown in the scatterplots, that positive association between “COVID-19 and in-migration” is found to be more robust than “COVID-19 and gross-migration”. On the other hand, the migrant's origin states are also experiencing a rapid increase of COVID-19 cases due to large numbers of returning migrants. These return-migration flows have created major administrative, social and public health challenges, particularly in the origin states, and as a whole in India.

This paper has potential to help policy planners to identify the COVID-19 vulnerability of various states in respect to the migration perspectives. Moreover, it also enhances the understanding to establish the linkage between COVID-19 outbreaks and migration.

Worldwide academia is going through a major transformation because of Open Science and Recognition and Rewards movements that are linked to big societal challenges such as climate change, digitalization, growing inequality, migration, political instability, democracies under threat and combinations of these challenges. The transformations affect the human resource management (HRM) and talent management of universities. The main focus of this chapter is on collaborative innovation and the way universities participate in coalitions and strategic alliances on national and international levels. These platforms not only discuss the transformations and support the academic changes but also act as talent pools and talent exchange. This chapter provides an overview of the current state of affairs with respect to Open Science and Recognition and Rewards in academia. Next, a theoretical foundation is presented on the concepts of collaborative innovation, coopetition and HRM innovation in general. The leaders or leading organizations in the HRM innovation models often can’t make it happen on their own, in particular in highly institutionalized contexts such as academia. The legitimacy of transformations requires coalitions of the willing and therefore strategic alliances on different levels. The coalitions in academia can also contribute to academic talent management through sectoral transformations (see Recognition and Rewards) and through the way these coalitions operate.

This study aims to comprehend the smart city–built environment’s (SCBE) effect on citizens’ quality of life in the smart cities of a developing country such as India. This study also sought to investigate the moderating effect of technological anxiety on the association, as mentioned earlier.

This study’s hypotheses were tested using data from 494 sample respondents who lived in the top five smart cities of India using partial least square-based structural equation modeling.

This study validated five dimensions of an SCBE, including smart governance, smart economy, smart people, smart transportation, smart environment and smart living, and demonstrated a favorable connection between a SCBE quality of life. This study confirmed that technology anxiety strongly moderates the relationship between the built environment of smart cities and citizens’ quality of life.

This study is a pioneering effort that explores the relationship between SCBE and the quality of life of its residents and the moderating effect of technology anxiety on this relationship.