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Background: The current global outbreak caused by COVID-19 has produced a unique situation with severe health and financial consequences. The fast and quick global impact called for an immediate response. A key public health action was the decision to amend the law to allow employees to work from home (WFH) whenever it was possible. In response to public health restrictions to stop the spread of COVID-19, organizations quickly switched to WFH without fully comprehending the effects of continued WFH on mental and physical health. Working from anywhere and at any time has made the separation between business and personal life more difficult. These modifications may cause employees' workdays to be longer and to experience greater work-life conflict. Overwork and work addiction provide a greater risk to the public's health and can harm various facets of mental and physical health, such as depression, anxiety, and sleep difficulties. There hasn't been much research on the underlying processes that link workaholism to poor mental health, especially among Indian academics. Purpose: There is a rise in the number of people who are worried about their mental health in academic settings. The primary purpose of this study is to determine whether academicians in India can potentially have a healthy work-family balance, which may mitigate the negative impacts of workaholism and poor mental health especially due to the Work from Home system. Methodology: A population-based study was conducted on academicians (n = 456) at private and public universities in Delhi NCR, India. Workaholism, work-family balance, and mental health difficulties were all measured using self-reported scales in the study. By using path analysis, the proposed mediation model was evaluated. The survey responses had an accuracy rate of 80%. Based on the conceptual research framework, PLS-SEM path modeling is used to find the causal connection between the indicators and latent components. Findings: The findings indicated that workaholism has been associated with mental health in two different ways: directly and through work-family balance. The path analysis found a statistically significant relationship between work from home and mental health through workaholism and work-family balance. Increased levels of anxiety, depression, stress, headaches, exhaustion, and reduced job satisfaction were some of the mental health consequences of Work from Home. Practical implication: This study provides real-world guidance to human resource managers on how to prioritize composite-level interventions at all levels of the university to create highly satisfied employees, provide a good working environment, and improve employees' mental health. Originality/value: Many researches have been done on the relationship between work-from-home and employee mental health, but relatively few have looked at how work-life balance and workaholism play a role in how work-from-home affects employees' mental health. This study fills a need in the academic and practitioner literature by investigating the relationship between work-from-home from home and employee mental health as well as the mediating function of work-family balance and workaholism with regard to Indian higher education institutions. [ABSTRACT FROM AUTHOR]

Electronic waste is one of the most challenging waste streams to manage. It has become a significant concern in developing countries due to the ever-increasing volume of generation coupled with deficient growth in collection and processing infrastructure. For the various stakeholders, it is of paramount importance to adopt a robust and sustainable collection method for hazard mitigation. The prevalent e-waste collection methods are categorized under four major heads, namely take-back, retail store, door-to-door and curbside collection. The e-waste collection problems are analysed from various perspective, based on literature that cited developing country-specific survey and data that includes India. Economic sustainability and potential risk are included as attributes in the evaluation scheme. We attempt to establish a decision-making model. Discussion with the field experts and decision-makers (DMs) provided the weights for various attributes and sub-attributes. A fuzzy linguistic scale is used to take care of ambiguity in DMs' opinion. Fuzzy- Analytical Hierarchy Process (FAHP) is used to determine the importance of various attributes and sub-attributes, while Fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) is used to determine the rank of the alternatives. Based on the analysis, 'take-back collection' and 'retail store based collection' are found the most suitable options for urban and rural regions respectively. The attributes, social awareness and economical sustainability are found to have the highest significance in both cases. Implementation of a collection method is an expensive activity, and the proposed Fuzzy-Multi Attribute Decision Making attempts to capture various attributes and their complex interplay to arrive at a decision on optimum e-waste collection option(s) in a specific locality. [ABSTRACT FROM AUTHOR]

The design of an e-waste collection policy is challenging, especially for a country like India, where the economy is a developing state, and there is a large diversity in socio-economic factors. The e-waste collection policy impacts the various stakeholders such as the manufacturer, the raw material producers, the assemblers, the retailers, the generator (households and bulk consumers), the scrap dealers, the smelters, the recyclers, and the regulators. The design of an e-waste collection policy needs to consider the appropriate set of Critical Success Factors (CSFs), which will maximise the e-waste collection providing business sustainability to the stakeholders while satisfying the environmental regulations in the operating locations. Twenty-three CSFs identified and categorised in six implication dimensions for the e-waste collection policy framework based on a literature survey and experts committee view. The fuzzy DEMATEL approach is employed to analyse the CSFs to design an e-waste collection policy in India from a comprehensive perspective. Cause and effect interrelationship is established among the CSFs, and also their impacts are evaluated to segregate the CSFs into cause group (prominent influencing and independent) and effect group (influenced and dependent). The CSFs such as technology involvement, green practices, environmental program, certification and licensing, public ethics and stakeholder's awareness for circular economy are prominent influencing CSFs for e-waste collection policy in India. The current study is expected to provide a platform for policymakers to design the e-waste collection policy. [ABSTRACT FROM AUTHOR]

This study focuses on the organization-wise financing pattern of small and medium scale industries (SMEs). It attempts to assess the relationship between forms of business and sources of capital financing among SMEs in India, one of the developing markets in Asia. Employing factor analysis technique, the study finds that the capital needs of the entrepreneurs are met with the bank loans, money lenders, account payable and friends and relatives. These sources of capital are not easily accessible by different business organizations to fulfill their capital requirement. In addition, analysis of secondary data reveals that industrial credit carries certain banking restrictions, which needs to be identified to help in promoting the SME sector by providing some suggestions required for the new economic policy regime. [ABSTRACT FROM AUTHOR]

Introduction: The polymorphic variants of endothelial nitric oxide synthase (eNOS) gene have been implicated in endothelial dysfunction and are highly relevant to macroangiopathies. We investigated the relationship between eNOS gene T-786C, G894T, intron 4a/b polymorphisms and coronary artery disease (CAD) in South Indian type 2 diabetic (T2DM) individuals., Methods: We screened 283 T2DM patients, inclusive of 160 with angiographically defined CAD, 73 with myocardial infarction (MI), 89 without MI and 121 T2DM individuals with no evidence of CAD for eNOS gene polymorphisms., Results: There appeared to be a significant difference in the genotype and allele distribution of eNOS T-786C polymorphism between T2DM groups with and without CAD (p=0.004), albeit no significant association with MI was observed. The frequencies of TC and CC genotypes and -786C allele were considerably higher in patients with triple vessel disease (TVD) as compared to those without CAD (p=0.003), thereby associating this polymorphism with severity of CAD. Genotype and allele distributions of G894T and intron 4a/b polymorphisms were not significantly different between T2DM subjects with and without CAD/MI. Significant linkage disequilibrium was observed between intron 4a/b and T-786C polymorphisms. Multiple logistic regression analysis revealed a significant and independent association of eNOS T-786C polymorphism and other putative risk factors with CAD/TVD in T2DM individuals., Conclusions: These findings reveal a significant association between eNOS T-786C polymorphism, CAD/TVD and coincident putative risk factors in T2DM individuals in South Indian population., (Copyright © 2013 Elsevier Inc. All rights reserved.)