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The purpose of this article is to aid conceptualization of social well-being at work by identifying its components in a contemporary office context, so adequate measures can be developed to monitor social well-being and to assess the impact of interventions in the workplace.

This study used existing interview data from recent post-occupancy evaluations of two large activity-based flexible offices in the Dutch public sector. Data-driven concept mapping of 182 different employees' statements on social aspects of well-being was used to find communalities in their perceptions.

From the data 14 key concepts emerged referring to employees' social needs, reactions to (anti-)social behaviour of others and perceived social affordances of the work environment. Contrary to established theory, social well-being appeared to be a context-bound phenomenon, including components of both short-term hedonic and long-term eudaimonic well-being.

The findings serve as an inductive source for the further development of adequate measures of social well-being at work. Limitations concern the specific (cultural) setting of the cases and the use of existing data.

Preliminary suggestions for fostering social well-being include change management, participatory design, being alert of the identified risks of activity-based offices and supporting privacy regulation, identity marking and a sense of community, as well as a diversity of informal face-to-face interactions balanced with quiet spaces.

This article contributes to the conceptualization of social well-being in contemporary offices by discussing established social well-being theory and analysing real-world data, using a method novel to management research.

The ideal-typical entrepreneur presents him/herself in the neoliberal iconography as an autonomous and pro-active individual who is highly engaged with his/her vocation. Nevertheless, empirical research on the actual work engagement of the self-employed is scarce. In addition, phenomena like “necessity self-employment” and “economically dependent self-employment” raise concerns about the potential eudaimonic well-being outcomes of these self-employed. In this study, it was therefore investigated to what extent necessity self-employment and economically dependent self-employment are associated to work engagement and whether this relation is mediated by intrinsic job resources.

The authors used data from the 2015 European Working Conditions Survey (EWCS) involving 5,463 solo self-employed participants. For analyzing the data, structural equation modeling (SEM) with the Lavaan package was used.

Both necessity self-employment and economically dependent self-employment were linked to poor work engagement, however, intrinsic job resources mediated both effects.

While previous studies have shown differences in hedonic well-being between opportunity/necessity entrepreneurs, and economically (in)dependent entrepreneurs, this study considers their distinct profiles regarding eudaimonic well-being. Eudaimonic well-being was deemed particularly relevant because of its implications for other outcomes such as life satisfaction, psychological well-being, ill-health, business performance and persistence in self-employment.

In cities with high density, heat is often trapped between buildings which increases the frequency and intensity of heat events. Researchers have focused on developing strategies to mitigate the negative impacts of heat in cities. Adopting green infrastructure and cooling pavements are some of the many ways to promote thermal comfort against heat. The purpose of this study is to improve microclimate conditions and thermal comfort levels in high-density living conditions in Seoul, South Korea.

This study compares six design alternatives of an apartment complex with different paving and planting systems. It also examines the thermal outcome of the alternatives under normal and extreme heat conditions to suggest strategies to secure acceptable thermal comfort levels for the inhabitants. Each alternative is analyzed using ENVI-met, a software program that simulates microclimate conditions and thermal comfort features based on relationships among buildings, vegetation and pavements.

The results indicate that grass paving was more effective than stone paving in lowering air temperature and improving thermal comfort at the near-surface level. Coniferous trees were found to be more effective than broadleaf trees in reducing temperature. Thermal comfort levels were most improved when coniferous trees were planted in paired settings.

Landscape elements show promise for the improvement of thermal conditions because it is much easier to redesign landscape elements, such as paving or planting, than to change fixed urban elements like buildings and roads. The results identified the potential of landscape design for improving microclimate and thermal comfort in urban residential complexes.

The results contribute to the literature by examining the effect of tree species and layout on thermal comfort levels, which has been rarely investigated in previous studies.

Clinical staff working in mental health services experience high levels of work-related stress, burnout and poor well-being. Increased levels of stress, burnout, depression and anxiety and poorer mental well-being among health-care workers are associated with more sick days, absenteeism, lower work satisfaction, increased staff turnover and reduced quality of patient care. Virtual reality (VR) relaxation is a technique whereby experiences of pleasant and calming environments are accessed through a head-mounted display to promote relaxation. The purpose of this paper is to describe the design of a study that assesses the feasibility and acceptability of implementing a multi-session VR relaxation intervention amongst mental health professionals, to improve their relaxation levels and mental well-being.

The study follows a pre–post-test design. Mental health staff will be recruited for five weeks of VR relaxation. The authors will measure the feasibility and acceptability of the VR relaxation intervention as primary outcomes, alongside secondary outcomes evaluating the benefits of VR relaxation for mental well-being.

The study aims to recruit 20–25 health-care professionals working in both inpatient and specialist community mental health settings.

Research indicates the potential of VR relaxation as a low-intensity intervention to promote relaxation and reduce stress in the workplace. If VR relaxation is shown to be feasible and acceptable, when delivered across multiple sessions, there would be scope for large-scale work to investigate its effectiveness as an approach to enable health-care professionals to de-stress, relax and optimise their mental well-being. In turn, this may consequently reduce turnover and improve stress-related sick leave across health-care services.

The purpose of this paper is to understand the nomological network of associations between collective mindfulness and big data analytics in fostering resilient humanitarian relief supply chains.

The authors conceptualize a research model grounded in literature and test the hypotheses using survey data collected from informants at humanitarian aid organizations in Africa and Europe.

The findings demonstrate that organizational mindfulness is key to enabling resilient humanitarian relief supply chains, as opposed to just big data analytics.

This is the first study to examine organizational mindfulness and big data analytics in the context of humanitarian relief supply chains.

South Africa’s wool industry plays an important role in the agricultural sector. The wool industry provides a valuable source of income for farmers who practice sustainable farming practices. However, wool farmers face numerous challenges, such as wool contamination, dirty wool and producing good-quality wool. Good-quality wool is determined by fibre diameter, clean yield, vegetable matter and staple length. This study aims to address these challenges.

A multiple regression analysis of price (R/kg) of White wool and Merino wool was applied to four variables fibre diameter: vegetable matter, clean yield and staple length. The analysis was based on the data for the 2009–2019 data from Cape Wools auctions.

Fibre diameter, clean yield and staple length, with exception of vegetable matter, made a statistically significant contribution to the determination of wool price after all other independent variables were controlled for (p < 0.05). A one-unit (micron) increase in fibre diameter resulted in a 0.404-unit decrease in wool price (R/kg). A one-unit (mm) increase in staple length resulted in a 0.022-unit increase in wool price (R/kg). There was no statistically significant association between vegetable matter and wool price. A one-unit increase in clean yield was associated with a 0.111-unit increase in wool price (R/kg).

Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool.

Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool.

In a developing country such as South Africa, this study is important for the following reason. It is understanding the wool characteristics that have the most significance influence on the determination of wool price for Merino wool and White wool might effectively help the wool farmers to adapt their production systems to improve the wool characteristics that determine wool price.

This study identified a need for a study to be conducted on all wool classes.