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Middle-aged and elderly users become an important group on short-video platforms, however, the research on determinants of their video-creating intention is limited. Based on lifespan development theories, this study examines the impact of aging experiences on their video-creating intention, considering internal generative motivations as mediators and age as a moderator.

To test this study’s hypotheses, survey data from 321 Chinese middle-aged and elderly short-video users were collected and partial least square-structural equation modelling (PLS-SEM) approach was used to analyze these data.

Middle-aged and elderly users' aging experiences of social loss and personal growth are positively related to their video-creating intention. Aging experiences (i.e. physical loss, social loss, and personal growth) are positively related to internal generative motivations (i.e. need to be needed and symbolic immortality), and need to be needed is positively related to video-creating intention. Via the mediation of need to be needed, physical loss and personal growth are indirectly positively related to video-creating intention. Personal growth strengthens the relationship between physical loss and symbolic immortality, but weakens the associations of social loss with need to be needed and symbolic immortality. Age weakens the relationship between symbolic immortality and video-creating intention.

This study is the first wave to introduce and integrate lifespan theories such as selective optimization with compensation model, socioemotional selectivity theory, and generativity theory to explore the impacts of aging experiences on middle-aged and elderly users' video-creating intention by considering generativity motivations as mediators and age as a moderator.

The purpose of this paper is to study how customers’ social ties can be performed as one kind of switching costs, which can affect customer loyalty and have a moderate effect on the relationship between customer satisfaction and customer loyalty, and to improve the typology study of switching costs and give suggestions for companies about how to strengthen customer loyalty.

An empirical research is implemented to prove the effectiveness of the study model, using factor analyses, regression analyses and structural equation model analyses as data analyses approaches.

The research results prove the direct and moderate effect of social ties loss costs, and the effectiveness and reasoning of the new typology of switching costs.

According to the research results, companies can take measures to enhance customers’ social ties loss costs properly so as to strengthen their loyalty.

This research comes up with a new kind of relational switching costs, social ties loss costs and proves its effects, thus improving the typology of switching costs, and makes practical suggestions for companies.

The purpose of this study is to contrast the effects of four exit barriers on word of mouth activities. Monetary, service loss, social and convenience exit barriers are compared. The differential effects of these four barriers on the valence of word of mouth (positive, negative), the type of word of mouth recipient (weak tie, strong tie) and the motives (catharsis, company sabotage) for spreading word of mouth are studied.

The data for empirically addressing a set of hypotheses were collected from 185 consumers. The hypotheses were analyzed using ANOVA models along with post hoc tests.

The results suggest that the type of exit barrier matters. Exit barriers, with respect to word of mouth activities, seem to fall on a continuum. On one extreme, the most detrimental barriers are monetary hurdles, and on the other end, the least detrimental barriers are convenience hurdles. Monetary barriers are responsible for the most negative word of mouth and company sabotage. Social and convenience barriers lead to significantly less.

The implications for erecting exit barriers are discussed. In particular, the value of monetary barriers is questioned. The benefits of such involuntary customer retention methods may be offset by the sabotage they invite through negative word of mouth.

The paper provides insights into word of mouth activities of dissatisfied customers that are trapped by various exit barriers. The word of mouth activities investigated include valence, recipient type and motives. The study contrasts monetary, service loss, social and convenience exit barriers.

This paper analyzes the welfare implications of the unequal distribution of wealth amongst the social and religious groups by studying the segregation of these groups across different occupations.

The authors use measures suggested by Alonso-Villar and Río (2017) and del Río and Alonso-Villar (2018) to compute the well-being of social groups (based on caste system prevalent in the Indian subcontinent) and religious groups due to their segregation across different regions (urban and rural) and occupations and social welfare loss of the society due to the segregation. Here social groups comprise of ST: Scheduled Tribe, SC: Scheduled Caste, OBC: Other Backward Caste and Others: other remaining castes; while, religious groups comprise of followers of Hinduism, Islam, Christianity and other religious groups.

The result shows that SC and ST groups are worse; while, the “others” group is better off due to the segregation of social groups across both regions and occupation. Similarly, in the case of religious groups, the analysis reveals that followers of Christianity are better off due to the segregation across region and occupation. It further shows that followers of Hinduism are negatively impacted while followers of Islam and other religious groups were better off due to the segregation across the regions.

Various researchers have studied the wealth inequality and unequal distribution in India over the years but did not dive further into the welfare implications of segregation of social and religious groups from wealth perspectives in India.

Job loss and long-term unemployment can have pervasive negative impacts on well-being. At its most extreme, unemployment is accompanied by feelings of shame, humiliation, insecurity, and worthlessness, as well as damage to cherished identities and narratives of self. Scholars have investigated how the unemployed attempt to repair these damaged identities, but little is known about how network members participate in the identity reconstruction process. Social support has been shown to ameliorate the negative psychological effects of unemployment, but studies have also found that the unemployed are reluctant to ask for assistance and often perceive network members as a source of stress rather than as a source of support. To understand why social support can be experienced both positively and negatively by the unemployed, we draw upon 84 in-depth qualitative interviews with men and women who experienced unemployment during the extended economic downturn associated with the Great Recession. We find that social support ameliorates unemployment when it bolsters identities important to recipients, and exacerbates unemployment when it undermines such identities. We also show how the unemployed respond to identity-threatening support: by avoiding it, rejecting it, or reframing it as reciprocity. Our analysis contributes new insights into the relationship between social support and identities, as well as a deeper understanding of the noneconomic costs of the slow economic recovery following the Great Recession.

All too often tragedy and disaster strike the world around us, and when they do, people often are left speechless and powerless. In schools, there is no subject as uniquely situated to helping children develop an understanding of social events as the social studies; as history is filled with instances of loss, tragedy, and death (i.e. war, conflict, natural disasters, etc.). During these difficult times, teachers often encounter important questions from inquisitive children on these challenging topics. This manuscript discusses how an elementary social studies teacher leveraged the assets of children’s literature to assist her students in learning to grapple with the death of their beloved classroom pet. Parents and educators are provided literary resources and strategies to assist students in grappling with the concepts of loss or death.

Multiutility tunnel (MUT) has been recognised as a more sustainable method to place underground utilities than the traditional directly buried (DB) method. However, the implementation of MUT is hindered because of high initial construction costs and the difficulty to demonstrate its benefits, especially social benefits that are hard to be quantified. To address the limitation, this paper aims to quantify and compare both economic costs and traveller loss (i.e. an important part of social costs) of the MUT and DB method.

An agent-based model (ABM) is developed, which considers attributes and actions of vehicles, interactions between vehicles and interactions between vehicles and the road network. The ABM is used to estimate traveller loss by comparing traveller time when the MUT and DB method is adopted, respectively. The traveller loss is combined with economic costs to estimate and compare the LCC of the MUT and DB method. To verify the ABM-based approach, it is implemented in an MUT project in Shanghai, China.

Results of the study indicate: (1) When the DB method is adopted, periodic E&Rs cause severe traffic congestion and substantial traveller loss. (2) When traveller loss is not included in the LCC estimation, the DB method has a lower LCC in most scenarios. (3) When traveller loss is included, the relative LCC of MUT and the time it takes to cover the LCC of the MUT and DB method is largely reduced. Thus, when social costs are considered, MUT will bring more benefits than the DB method.

Previous studies on comparing the MUT and DB method focus on investigating economic costs, while other costs, e.g. social costs, are not well addressed quantitatively. Besides, current studies of traveller loss estimation lack consideration of factors such as unique attributes, actions and interactions of vehicles and the network. Hence, this paper applies an ABM-based approach to involve these factors and produce more reliable estimation of traveller loss than existing approaches. Moreover, by integrating traveller loss into LCC analysis, this paper helps to understand the benefits of MUT thus assisting decision-making in selecting utilities placement methods.

Consumer risk perception plays an important role during periods of food safety concern because it shapes the behaviour of consumers. Multi‐dimensional analysis helps to provide a thorough understanding of consumer‐perceived risk. A survey of 172 respondents was carried out to investigate the importance of individual loss components and the differences between sociodemographic characteristics regarding microbiological risk in chicken meat. The results suggest that health loss is the most important component followed by psychological, financial, time and taste losses. All these loss components were found to be significantly different between degree and non‐degree holders, while long‐term health and social losses were different within gender and age groups respectively. The findings in the study of microbiological risk in chicken meat are likely to be applicable to other food safety related risks.

By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).

The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.

By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.

This paper explores some gendered impacts of resettlement in the Lesotho Highlands Water Project (LHWP). Based on 13 months of ethnographic fieldwork in Lesotho, Southern Africa, I use a feminist political ecology framework to analyze the ways host and settler communities negotiate development-induced resettlement and how resettlement conditions (re)produce gendered social interests in the context of the LHWP. While material losses are typically compensated during resettlement, the non-material, psycho-social aspects of loss do not get compensated. After resettlement, however, it is the unpaid, uncompensated community work of women that offers opportunities for adjustment into the new communities.