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This study aims to use a multi-stage scale development process to identify the dimensions of philanthropic corporate social responsibility (PCSR) in India’s fast-moving consumer goods (FMCG) sector.

The authors conducted a study to develop a comprehensive, reliable and valid scale for measuring PCSR based on the customer perception of FMCG product manufacturers. This research adopted a comprehensive and detailed scale development process using multi-stage sampling for scale development. This final study was conducted on a sample of 402 respondents from the city of Jaipur, India.

The results have underlined the multi-dimensional aspect of PCSR; these dimensions are: altruism towards society, volunteering for local community development, generosity towards ecology, benevolent spirit and problem-solving charity.

This study gives valuable insights into philanthropic scale development in the FMCG sector that can immensely help domestic and international marketers to formulate CSR as a strategy. This research provides insights into a wide range of scales which can be base for future research studies that aim to explore different organizational settings.

PCSR and CSR are important for developing strategies for sustainable businesses across the globe. Dimensions of PCSR will be useful for practitioners and researchers in developing second-order constructs for future studies.

This study aims to discover the complex relationships between individual factors (IF), organizational culture (OC) and leadership styles that impact employee mental health (MH) in the post-pandemic age. Considering the changing nature of the workforce, which has been made worse by the COVID-19 epidemic, the research attempts to clarify the complex interactions between these components.

This research uses the structural equation modeling (SEM) methodology. The authors collected data from 383 information technology sector employees and used the partial least squares SEM tool to analyze. The SEM analysis models the relationships between IF, OC and organizational leadership (OL), examining how these factors collectively influence employee MH. In addition, the study explores the mediating effects of organizational interventions (OI) to assess the pathways through which these interventions impact the observed relationships.

OL and OC significantly impact employees’ MH. Also, OI plays a role in mediating variables in fortifying this relationship; one of the viable explanations for this may be that unlike IF, OL and OC are more comprehensive in coverage and influence the overall organization.

The present study suggests the crucial role of OL and the OC in ensuring better employee MH, emphasizing how organizations navigate these transformative shifts, which are critical for realizing their full potential professionally and personally.

The purpose of this paper is to investigate the impact of mandatory corporate social responsibility (CSR) expenditure on the firm’s financial performance in the aftermath of insertion of Section 135 in the Companies Act, 2013 for Indian listed companies.

The paper uses independent sample t-test, one-way ANOVA, fixed effect panel regression model and principal component analysis on a data set of 153 non-financial companies listed in BSE-500 companies for a period of 2015–2019.

The empirical results of the paper suggest that the mandatory CSR expenditure negatively impacts the company’s profitability.

The study has important implications for regulators and listed companies. Firstly, the mandatory CSR expenditure acts as a burden onto the on-going activities of the firms. CSR activities, therefore, should be integrated with the existing skillsets and expertise of the firms. Secondly, the government can encourage CSR activities by making the expenditure tax deductible. Moreover, the Schedule VII list of activities has a scope to become more inclusive rather than the present exhaustive list.

The paper highlights the gap in the expectation and actualisation of the CSR mandate by studying the recent data of the sample companies of the BSE-500 index. The paper adds to the CSR literature in the emerging market context.

Addressing probable complexities of climate change on rural livelihoods, food security, and poverty reduction, requires mainstreaming of cross-sectoral interventions and adaptations into existing frameworks. Indigenous communities due to their isolation, reluctance to current practices, and knowledge deprivation are difficult to reach by many developmental programs. The purpose of this paper is to identify relevant adaptations from indigenous rural Jharkhand (India), applicable to improving livelihoods through integrated natural resource management (NRM). Prospects of rainwater harvest and management for supporting local rural livelihoods were also examined.

Tested and applicable models of participatory research methods widespread in sociological research were used. Focussed group discussions and structured interviews were conducted for primary data collection from micro-watershed units of this study.

In-situ soil and water conservation methods showed increased availabilities of freshwater both for food and non-food consumption in the area. Construction of rural infrastructure and land husbandry practices improved agricultural productivity and resulted in subsequent reductions in women's drudgeries. Culture fishery provided ample scope for livelihood diversification, food and nutrition security of households. Overall, micro-watershed area developmental approach improved food and nutrition securities, generated employment opportunities, improved agricultural productivity, diversified livelihoods and were widely accepted by communities.

Creating greater sense of ownership among grass-root communities was an important thrust behind the success of this particular project. By entrusting tribal communities with fund management, rural planning, and execution of various interventions, a successful replicable model was produced, which has wider community implications extending beyond societies and geographies.

This paper aims to examine the impact of announcements related to 77 interventions by 46 listed Indian pharmaceutical firms during COVID-19 on the abnormal returns of the firms. The study also finds the variables which explain cumulative abnormal returns (CARs).

This study uses standard event methodology to compute the abnormal returns of firms announcing pharmaceutical interventions in 2020 and 2021. Besides this, the multilayer perceptron technique is applied to identify the variables that influence the CARs of the sample firms.

The results show the presence of abnormal returns of 0.64% one day before the announcement, indicating information leakage. The multilayer perceptron approach identifies five variables that explain the CARs of the sample companies, which are licensing_age, licensing_size, size, commercialization_age and approval_age.

The study contributes to the efficient market literature by revealing how firm-specific nonfinancial disclosures affect stock prices, especially in times of crisis like pandemics. Prior research focused on determining the effect of COVID-19 variables on abnormal returns. This is the first research to use artificial neural networks to determine which firm-specific variables and pharmaceutical interventions can influence CARs.

The purpose of this paper is to study Indian aspects of policy convergence in the context of budgetary linkage of two nationalized flagship programs – Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) and Integrated Watershed Management Program (IWMP). Therefore, in lieu of inter-departmental convergences; issues related to water resource development of Jharkhand’s (India) rain-fed areas were addressed.

Centered on policy convergence strategy, present study applied comprehensive review and analysis approach for formulation of research base. A conceptual framework was thus designed for analytical purposes and therefore advancing toward conjectural knowledge base.

Application of inter-departmental policy convergence strategy suggested ample opportunities for optimal water resource development. Presence of abundant wage labor, rich indigenous water management techniques, tested replicable models, under-harvested rainwater potential, etc., appeared as catalysts of policy convergence. Yet, State’s lack of inter-departmental coordination and grass-root institutional framework will continually challenge policy convergences in absence of good governance.

An initiative of Indian government; MGNREGA has received international attention due to its wider coverage including natural resource management, besides guaranteed wage employment. Targeted at freshwater management discourse of Jharkhand; present paper reviewed prospective inter-departmental policy convergence strategy within various arena of MGNREGA, by exploring associated scopes and challenges. Similarly for cost effectiveness, related to maintenance and lift-irrigation demands of rain-fed area development; the present study suggested optimum utilization of inter-departmental funding linkages for development of sustainable water resources.