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Using visual materials to understand a social object requires the researcher to know that object's purpose, and this is true whether the object is an artifact, a restricted event, a small social world, or something as massive as the modern city. I argue that the purpose of the city as a settlement is driven by the need to safely sleep in peace at night while satisfying other basic biophysical needs during the day as conveniently as possible. An examination of these needs identifies 10 functional prerequisites for human settlement, entangling its inhabitants in involuntary community with entities and events other than themselves, whether they like it or not. In addition, the rise of the modern city exacerbates the challenge of living in a reluctant community and pressures its inhabitants to come to terms with the consequences for how these relationships affect daily life. I highlight nine challenges posed as questions that have been particularly salient in American urban history since the mid-nineteenth century. How these challenges have been addressed indicates not only what it takes to make a modern city a settlement suitable for satisfying human needs, but also just how deeply invested its residents are in making the city work. Finally, the 10 functional prerequisites and nine moral challenges not only provide a framework for researching the city, but also suggest a coherent outline for imagining a “shooting script” or guide for conducting visual research.

The purpose of this study is to provide a detailed demonstration of how artificial intelligence (AI) can be used to potentially generate valuable insights and recommendations regarding the role of accounting in addressing key sustainability-related issues.

The study offers a novel method for leveraging AI tools to augment traditional scoping study techniques. The method was used to show how the authors can produce recommendations for potentially enhancing organisational accountability pertaining to seasonal workers.

Through the use of AI and informed by the knowledge base that the authors created, the authors have developed prescriptions that have the potential to advance the interests of seasonal workers. In doing so, the authors have focussed on developing a useful and detailed guide to assist their colleagues to apply AI to various research questions.

This study demonstrates the ability of AI to assist researchers in efficiently finding solutions to social problems. By augmenting traditional scoping study techniques with AI tools, the authors present a framework to assist future research in such areas as accounting and accountability.

This study aims to answer if inter-state migrants in India play a more active role than their intra-state counterparts in labor force participation and entrepreneurship.

A recursive bivariate probit model is used with an instrumental variable (IV) of the total of inter-state migrants in a city over their historical numbers to tackle the endogeneity issue of the migration decision of the migrants.

Inter-state migrants did a better job than their intra-state counterparts in labor force participation and female inter-state migrants did a better job than their counterparts in wage employment and being day laborers.

The data are from IPUMS and there is no updated nationwide data regrading migration and employment for recent years.

A randomized controlled trail can be carried out near the borders of two states where there are both significant amounts of inter-state and intra-state migrants.

The government and international organizations shall focus on cultivating the skills of the female migrants as well as encouraging the entrepreneurship of both types of migrants.

The study focus is on the comparison between intra- and inter-state migrants based on nationwide survey data and the usage of recursive bivariate model and an effective Instrumental Variable.

At present, the scale of China's floating population has reached 376 million people. Compared with the local inhabitants, the poverty problem of the floating population is more complex, and this problem should also attract the attention of all sectors of society. This paper aims to measure and analyze the multidimensional poverty of the floating population in China.

The data used in this paper are the data of the China Migrants Dynamic Survey (CMDS) in China. This survey is a large-scale national migratory population sampling survey organized by the China National Health Commission, covering 31 provinces (autonomous regions and cities) and other autonomous regions. This paper uses the dynamic monitoring and Alkire and Foster (A-F) method to study the multidimensional poverty problem of the floating population.

This study finds that income poverty is no longer the main type of poverty faced by the floating population. The multidimensional poverty of the floating population mainly occurs in the social security and education dimensions, of which social security has become the most severe poverty dimension of the floating population. From the perspective of group differences, compared with the floating population in urban areas, the multidimensional poverty of migrant workers is more serious. However, the poverty of migrant workers is mainly concentrated in one-dimensional poverty and two-dimensional poverty.

In the future, the authors should focus on the social security of the floating population in the place of influx and the education of the floating population.

Through the review of the existing literature, the authors find that the current research on the multidimensional poverty of the floating population is mainly concentrated on the migrant worker groups that move from rural areas to urban areas. However, insufficient attention is paid to the urban floating population groups moving between cities.

This study aims to examine how Chinese rural-urban migrant workers' socio-economic status was associated with their decent work.

Grounded in the psychology of working theory (PWT), this study tested the path from rural-urban migrant workers' socio-economic status to decent work via work volition, with this path moderated by environmental uncertainty and trade union support. 470 rural-urban migrant workers from four manufacturing enterprises were investigated.

Results indicated that rural-urban migrant workers' socio-economic status was positively associated with rural-urban migrant workers' decent work through work volition. In addition, environmental uncertainty weakened the impact of socio-economic status on work volition while trade union support strengthened the relationship between socio-economic status and work volition.

The study contributes to the growing research on the PWT by testing its utility among rural-urban migrant workers in the Chinese context. The study also identifies the crucial effects of environmental uncertainty and trade union support, which are distinctive characters of contemporary China, in the formation process of rural-urban migrant workers' decent work. A detailed explanation of the results and implications is discussed in the end.

This study aims to analyse in the health access of Indonesian illegal migrant workers in Malaysia, during which time they were not covered by Indonesia’s national social health insurance.

This study adopted a sociolegal approach, the research approach is conducted to understand the effect of a law, policy and regulation on access to health-care access among Indonesian migrant workers working illegally in Malaysia. This research involved 110 respondents who work illegally in Malaysia. The research explored the perceptions of respondents concerning to health access services of illegal migrant workers.

The study demonstrated the weakness of provisions intended to guarantee the health access to health care of migrant workers from Indonesia illegally working in Malaysia. A decline in health status was observed, but it was not significant. Bilateral cooperation between Indonesia and Malaysia is necessary to provide a framework for Indonesia providing health care to its citizens working in Malaysia, regardless of their legal status.

This paper concerns on the Indonesia illegal migrant workers experiencing illness and the access to the health service in Malaysia, and also the implementation of international regulation to protect Indonesian illegal migrant workers in Malaysia under ASEAN Consensus on the Protection and Promotion of the Rights of Migrant Workers.

This paper presents a cross-sectional study that assessed the impact of the COVID-19 pandemic on rural migrants in Bihar. The primary objective of this study was to evaluate the overall impact of the pandemic on migrants and examine their livelihoods, with a focus on identifying measures that can mitigate the economic consequences.

This study used a telephonic survey to collect primary data from 419 respondents. Descriptive statistics were used to analyze the data, and three indices were constructed: fear and worries, trust and prevention.

The findings provide insights into the psychological well-being of migrant workers and highlight the challenges they face in sustaining their livelihoods amidst the pandemic. This study concludes by suggesting potential measures to alleviate the economic impact and enhance the resilience of this vulnerable population.

This study may be limited by the representativeness of the sample as well as the potential for social desirability bias. The study may also be limited by the reliability and validity of the measures used to capture the fear and worries, trust and prevention indices.

Numerous studies have examined the impact of the COVID-19 pandemic on rural migrants. However, there are limited studies that estimate the impact of the proposed study based on the challenges faced by rural migrants in Bihar during the pandemic.

This paper aims to explore the determinants of the livelihoods of return migrant workers in Vietnam. The findings will help authorities updating their regulations on migration, thus grasping the economic benefit from documented but low-skilled return migrant workers.

The sample is collected when the COVID-19 pandemic hit the Vietnamese economy severely. The author considers six issues of income and employment, including total income, stable income, financial pressure experiences, unemployment, stable job and time to find a job. For this purpose, through a pre-structured questionnaire, the primary data is collected from 258 Vietnamese return migrant workers in various foreign countries. Notably, all respondents in the sample are documented but low-skilled return migrant workers. The author uses various empirical regression analyses to conclude that personal traits, family characteristics and their characteristics before and after migration play a critical role in determining the livelihood of migrants returning to Vietnam.

The author finds that personal traits, family characteristics and their characteristics before and after migration play a critical role in determining the livelihood of migrants returning to Vietnam.

The findings are critical for Vietnamese authorities in finalizing and updating their regulations on migration, thus grasping the economic benefit from documented but low-skilled return migrant workers.

To the best of the author’s knowledge, this is the first study to exploit the drivers of the livelihoods of return migrants in Vietnam, a rich, two-wave panel survey of respondents in Vietnam aimed at characterizing the history of migration of low-skilled and documented migrants back to Vietnam and to use these histories to gain insight into Vietnamese return migrants’ economic status, access to financial, welfare and health insurance benefits and employment prospects.