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Remote work has been intensifying in organizations, and the recent pandemic forced an immediate increase in it, ignoring its effect on the family. The purpose of this study was to analyze the work and personal-family life balance of Colombian workers during the lockdown and the effects on post-pandemic times.

Quantitative correlational study with a non-probabilistic sample of 1,069 participants: 349 (32.64%) men and 720 (67.35%) women.

A total of 44.8% of the participants reported that their work interfered with their personal life; 61.6% reported that their work exceeded their habitual time; 72.2% felt comfortable with the remote work; and women perceived more affectation, as did participants with children. No interaction was present between these variables. There are more interruptions for workers with children younger than 12 years.

There is satisfaction with remote work. However, there are difficulties regarding work-personal life balance that must be addressed to improve quality of life, with an emphasis on women and workers with children, especially younger children.

This study provides empirical evidence for the foundation of public and organizational policies aimed at managing remote work and the work-personal life balance to reduce the risk of loss of female labor force and effects on the quality of life of workers.

Studies on the work-personal life balance with Latin American samples are scarce. This research contributes to the literature about satisfaction with working from home modality and the work-personal life balance during COVID-19 confinement, with a look at the differences by gender and the evaluation of the family conditions of Colombian workers, contributing to a regional perspective.

The purpose of the present study is to explore the factors that influence the residential location choice of households in the Indian context.

Two sub-urban towns of Kolkata, i.e. Biddhanagar Municipal Corporation and Rajarhat Newtown, are taken as case studies. In total, 34 variables are considered related to the household's socioeconomic background (10), dwelling (3), travel (2) and level of importance of neighborhood characteristics (19). A revealed preference household survey is conducted, which resulted in the collection of 390 samples. Firstly, 19 level of importance variables are deduced to 3 latent factors using exploratory and confirmatory factor analysis. After that, a utility function is estimated using a multinomial logit regression to identify significant factors.

The results indicate the significance of car ownership, work travel time, work mode, monthly income, proximity to work, proximity to family/relative/friends, proximity to quality schools, quality of physical infrastructure such as water availability, power availability and housing typology among others in the residential location choice of households.

Kolkata, a major metropolitan area in eastern India, has been experiencing space constraints to cater to the housing demand of the ever-increasing population. Although satellite towns are being developed, the infrastructure landscape in such towns is uneven, resulting in more housing demand in one area than another. The study furnishes significant findings to develop more informed policies to attract households in low-demand areas and manage high-demand areas to achieve sustainable planning.

Considering the importance of geographical context, it is the first study on residential location choice, providing a perspective of household behavior from eastern India. It also shows the importance of physical infrastructure attributes in residential location choice for developing countries, which is seldom employed in the current practice. Moreover, previous studies (although few) done in India consider the objective value of location characteristics. The present study focuses on subjective value or the level of importance perceived by respondents.

Energy-related financial literacy (ERFL) which consists of energy literacy, financial literacy and lifecycle cost literacy, can play an instrumental role in addressing climate change by ensuring efficient energy consumption (macro level benefit) and promoting financial well-being (micro level benefit) of households. This study aims to highlight the ERFL level and its effect on the energy consumption of the sample households in the state of West Bengal, India.

The study used primary data on 155 sample households from the two districts, i.e. Hooghly and North 24 Parganas in West Bengal, India, surveyed from September 2022 to November 2022 using a structured questionnaire. The study used the conceptual framework suggested by Blasch et al. (2018) to measure the ERFL. Pertinent statistical techniques and the ordinary least square regression method were used to attain the objectives of the study.

The outcome of the study showed that the average ERFL score was found to be moderate (63%). The findings of the study also indicated that the ERFL exerts a positive influence on reducing energy consumption among the sample households in India.

There is a dearth of research studies on the topic of ERFL around the globe. The very few studies so far conducted are mostly in the context of European economies and Nepal. Perhaps, to the best of the our knowledge, this is the first study on the issue of ERFL in the Indian context. Therefore, the present study will make an original contribution to the small but growing scholarship on ERFL.

The purpose of this paper is to provide trilogy in the emerging market for the establishment of business, economy and environment which is the new word for the development of any nation to attain sustainable development. This research explores the prospective crowdshipper's willingness to participate in crowdshipping services through a motivational factor.

To understand the trend and future of this concept, Google Trends Analysis (GTA) has been used. The theoretical model has been validated empirically using a survey of 287 Indian (Generation Y and Z) urban participants, but focused is on Generation “Z” participants and subsequent analysis have been carried out using structural equation modelling.

A theoretical framework has been developed connecting the various factions of the crowdsourcing process thus providing an overall view of the process strategy for logistics start-ups. This conceptual framework of sharing economy in emerging market can benefit the prospective suppliers and their target receivers. Particularly trust in crowdshipper plays a significant mediating role between subject factors and next generation user willingness to participate in crowdshipping services for sustainable last-mile delivery.

The present theoretical foundations and frameworks have been studied to get an idea of the main aspects of the field. It has the potential to provide the impetus for collaboration with the various stakeholders thus achieving the sustainable development process. The practical inference of this study is the usability in terms of the plugin application for e-retailer in emerging markets.

The purpose of this paper is to study the experiences of middle-class working mothers from the ITES (Information Technology Enabled Service) sector in India during the COVID-19 pandemic. Their experiences of work from home are studied in the backdrop of the ideal worker model at work and the adult worker model at home. Further, the study aims to identify the need for sustainable, inclusive practices for working mothers in Indian organizations to break the male breadwinner model in middle-class households.

A qualitative approach to collect data from 39 middle-class mothers working in MNCs in four metro cities in India. The semi-structured, in-depth interviews focused on their experiences of motherhood, care and work before, during and after the COVID-19 pandemic.

The pandemic made it evident that the ideal worker model in organizations and the adult worker model at home were illusions for working mothers. The results indicate a continued obligation of the “ideal worker culture” at organizations, even during the health crisis. It made the working mothers realize that they were chasing both the (ideal worker and adult worker) norms but could never achieve them. Subsequently, the male breadwinner model was reinforced at home due to the matrix of motherhood, care and work during the pandemic. The study concludes by arguing the reconstruction of the ideal worker image to make workplaces more inclusive for working mothers.

The study is placed in the context of Indian middle-class motherhood during the pandemic, a demography less explored in the literature. The paper puts forth various myths constituting the gendered realities of Indian middle-class motherhood. It also discusses sustainable, inclusive workplace practices for mothers from their future workplaces' standpoint, especially in post-pandemic times.

This study aims to use 67 developing countries to examine the role of financial inclusion as an “empowering tool” for renewable energy uptake and to improve environmental sustainability in developing countries.

Using a battery of econometric models, including the generalized method of moment-panel vector autoregression (GMM-PVAR), impulse response function, Granger causality, fully modified ordinary least squares and dynamic ordinary least squares, the study proposed and tested three hypotheses.

The results from various estimations indicate that financial inclusion has a positive effect on renewable energy consumption and environmental sustainability improvement in developing countries. The findings suggest that financial inclusion can improve environmental sustainability by increasing access to financing to fund renewable energy projects, support sustainable businesses and promote sustainable practices.

This study suggests that policymakers prioritize financial inclusion to promote renewable energy consumption and environmental sustainability. Policies should enhance access to financial services, offer financial incentives and subsidies, provide affordable loans through microfinance institutions and fintech companies and promote sustainable businesses and green technologies.

This paper aims to critically evaluate the impact of empowering leadership on safety behavior and safety climate during safety monitoring at a nuclear power plant (NPP) in the United Arab Emirates (UAE).

Data were collected using questionnaires filled out by 500 participants from the UAE nuclear sector. The relationships among the variables were analyzed using structural equation modeling.

The results indicated that empowering leadership has a positive impact on safety behavior, and a positive safety climate leads to increased levels of safety behavior (compliance and participation). The results also showed that safety climate partially mediates the relationship between empowering leadership and safety behavior.

This study contributes to the existing knowledge regarding empowering leadership, safety monitoring, behavior and climate. Because limited information is available on this topic, this study extends the research on the relationship between empowering leadership and safety research at an NPP. Specifically, it outlines that safety monitoring partially mediates the relationship between empowering leadership and safety behavior. This research enables NPPs worldwide to incorporate empowering leadership to enhance safety monitoring and ensure better safety behavior and climate.

This study aims to develop an extended social attachment model for expatriates, integrating a multiple stakeholder perspective, to understand evacuation decisions during disasters.

Through interviews with 12 Tokyo-based expatriates who experienced the 2011 Tohoku earthquake, tsunami and nuclear disasters, this study collects the lived experiences of a diverse set of expatriates. This data is analyzed abductively to map relevant evacuation factors and to propose a reaction typology.

While the 2011 Tohoku disasters caused regional destruction and fears of nuclear fallout, Tokyo remained largely unscathed. Still, many expatriates based in Tokyo chose to leave the country. Evacuation decisions were shaped by an interplay of threat assessment, location of attachment figures and cross-cultural adjustment. The study also discusses the influence of expatriate types.

Disaster planning is often overlooked or designed primarily with host country nationals in mind. Expatriates often lack the disaster experience and readiness of host country nationals in disaster-prone regions in Asia and beyond, and thus might need special attention when disaster strikes. This study provides advice for how to do so.

By unpacking the under-researched and complex phenomenon of expatriate reactions to disasters, this study contributes to the fields of international human resource and disaster management. Specifically, seven proposition on casual links leading to expatriate evacuation are suggested, paving the way for future research.

This article tackles the intersection of mothering and labor through the author's own experience as a feminist mother/manager from Istanbul, Turkey. It aims to revisit the first years of motherhood, exploring the struggle to invent a peculiar maternal subjectivity in opposition and negotiation with the patriarchal institution of motherhood, the new definition of maternal labor in a highly digital, neoliberal context and the issue of marital fairness in a dual-income heterosexual marriage.

The article presents an autoethnographic, retrospective and introspective inquiry into the first seven years of the author's mothering experience in order to offer an in-depth exploration of the various aspects of contemporary maternal labor.

The article shows how maternal labor has shifted in nature and expanded in scope in a contemporary non-Western context. It investigates the dissolution of the spatial, temporal and sensorial boundaries between the managerial labor dedicated to the workplace, and to the family. Highlighting the similarities of the two forms of labor, the article manifests the materiality, tangibility and visibility of maternal labor.

Further intersectional studies shall be beneficial to redefine maternal labor in different contexts.

Departing and diverting from the terms “invisible labor” and “mental load”, the article suggests a shift in terminology to stress the multifaceted medley of managerial tasks mothers undertake today.

The article provides an original take on maternal labor through the first-hand experience of a middle-class, professional mother from Istanbul, Turkey.

This strategy significantly reduces the computational overhead and storage overhead required when using the kernel density estimation method to calculate the abnormal evaluation value of the test sample.

To effectively deal with the security threats of botnets to the home and personal Internet of Things (IoT), especially for the objective problem of insufficient resources for anomaly detection in the home environment, a novel kernel density estimation-based federated learning-based lightweight Internet of Things anomaly traffic detection based on nuclear density estimation (KDE-LIATD) method. First, the KDE-LIATD method uses Gaussian kernel density estimation method to estimate every normal sample in the training set. The eigenvalue probability density function of the dimensional feature and the corresponding probability density; then, a feature selection algorithm based on kernel density estimation, obtained features that make outstanding contributions to anomaly detection, thereby reducing the feature dimension while improving the accuracy of anomaly detection; finally, the anomaly evaluation value of the test sample is calculated by the cubic spine interpolation method and anomaly detection is performed.

The simulation experiment results show that the proposed KDE-LIATD method is relatively strong in the detection of abnormal traffic for heterogeneous IoT devices.

With its robustness and compatibility, it can effectively detect abnormal traffic of household and personal IoT botnets.