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The study aims to understand the phenomenon of workplace ostracism from multiple perspectives (target, perpetrator and observer). The understanding of the phenomenon is used to thematically analyse the antecedents of workplace ostracism and identify appropriate strategies for each antecedent.

The study findings are based on face-to-face semi-structured interviews with thirty-three senior and medium-level employees from various public and private sector organizations in India. The interview transcripts were systematically analyzed to identify antecedents of ostracism, which were inductively grouped together based on similarity.

The antecedents of workplace ostracism were grouped into four major heads: perceived non-alignment with organizational needs; emotional reaction; unconscious social processes and structural and demographic differences. Based on interview transcripts, strategies to reduce the effect of each of the broad antecedents of ostracism were identified.

Workplace ostracism has been linked with multiple negative outcomes including increased stress and turnover intention. The study provides managers with a framework that enables them to evaluate and understand incidences of ostracism among their subordinates. The study also equips managers with the knowledge of specific strategies for dealing with specific antecedents of ostracism.

The study answers the need to look at the phenomenon of ostracism through multiple perspectives. It identifies multiple potentially new antecedents and strategies to deal with workplace ostracism and groups them in a coherent manner. It is among the few studies on ostracism in India and extends the generalizability of the construct.

The present study tries to examine the relationship between financial inclusion and environmental quality as proxied by carbon emissions in India covering the period from 2008 to 2018.

A financial inclusion index has been composed using principal component analysis (PCA) based on three dimensions: access, penetration and usage. After testing for stationarity of the data, the authors adopted the autoregressive distributive lag model (ARDL) methodology.

The study found that financial inclusion and growth lead to increased carbon emissions in India and the government must resort to greener policies, whereas empirical results support that globalization reduced the pollutants emissions in both the long term and short period in India.

Based on the results, several policy prescriptions are rendered for policymakers: (1) need to move toward greener energy policies and (2) enhance the awareness of green financing instruments such as green bonds in India. Therefore, policymakers should be more proactive in accepting green and sustainable financial alternatives.

The present study contributes to the scant literature on the financial inclusion–emission nexus in India. This study considers three inclusion parameters that are not present in previous studies.

The present study aims to construct and compare Composite Environmental Sustainability Index (CESI) for 20 emerging countries for the period 1990–2020.

The study constructs CESI using the principal component analysis (PCA). Furthermore, for the preparation of index weights, varimax rotation is used to get component loadings.

The study finds that the overall CESI values lies between 2 and 4.8 for the 20 emerging countries considered in the study. This study depicts a diverse picture of environmental sustainability among emerging countries. The study also shows the trend of CESI values from 1990 to 2020. The bottom three countries whose CESI is very low compared to others are Iran, South Africa and Saudi Arabia. However, Brazil, Columbia and Chile are top three highest scorers in 2020.

The study contributes to the literature by constructing a composite index comprising of three sub-indices to measure the environmental sustainability of an economy. These sub-indices include seven indicators that are more inclusive and comprehensive. To the authors' knowledge, this is a pioneering attempt in the construction of the index for emerging countries.