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This paper aims to examine the effect of procedural justice on affective commitment, through the mediating of organizational trust and job satisfaction.

Data were collected from 305 executives working in eight large cement organizations through a standardized questionnaire. Confirmatory factor analysis, structural equation modelling and mediation analysis were performed to examine the relationship.

Procedural justice significantly influenced job satisfaction and organizational trust directly. Organizational trust and job satisfaction are partially mediated by organizational justice and affective commitment. Interestingly, procedural justice does not influence affective commitment directly.

Procedural justice and affective commitment are crucial aspects of an organization. Limited research has been conducted linking procedural justice, organizational trust, job satisfaction and affective commitment. This study was conducted in the South Asian country of India, where power-distance prevails

The purpose of this study is to determine the impact of distributive justice on normative commitment, both directly and indirectly through job satisfaction. Instead of integrating all the components of justice and commitment, distributive justice and normative commitment have been given prominence.

The data were collected through standardised scales from the 305 executives working in the top eight cement organisations located in the central part of the Indian subcontinent. Structural equation modelling (SEM) with bootstrapping was employed to evaluate the hypotheses.

The results proved that distributive justice helps increase normative commitment and affects job satisfaction positively. Additionally, job satisfaction acts as a mediator between distributive justice and normative commitment.

Due to the adaptation of self-reported questionnaires, the chances of method bias cannot be completely denied. However, the Harman’s single-factor analysis was conducted to handle it. Moreover, the data were obtained from a single source, i.e. the cement industry.

HR practitioners may use the outcomes of this study to promote distributive justice while allocating their sources. It also helps in implementing specific strategies to improve job satisfaction and commitment.

The study proposed a more complex linear model that included job satisfaction as a mediator. Moreover, the study is conducted in emerging economies, which addresses the research gaps in the existing body of literature.

This paper analyzed the effect of voluntary corporate disclosure on firm value and how audit quality and cross-border stock market listing moderate this relationship.

The paper analyzed S&P BSE index constituents’ 90 Indian enterprises for 2017–2019. The India Disclosure Index Report was used to fetch the voluntary disclosure scores. Further, the study was conducted in two parts using six different panel-data regression models in the framework of legitimacy, agency, signaling and market segmentation theory. First, the study investigated the direct impact of voluntary disclosures on return on assets (ROA) and Tobin’s Q. Second, the moderating effect of the “Big 4” was tested. Third, the paper also examined the moderating role of “cross-border stock market listing” in the direction of voluntary disclosure-firm value relationships.

Primarily, the results postulate a significant positive impact of voluntary disclosures on ROA and Tobin’s Q. A higher voluntary disclosure leads to a higher ROA and Tobin’s Q for firms. Moreover, the improvement effect of such disclosures on ROA and Tobin’s Q is more pronounced for companies “listed abroad” and audited by “Big 4.”

The findings will enhance managers’ learning about the financial impact of voluntary disclosures. The choice of a “Big 4” and “Cross border stock market listing” indicates firms’ future positive perspectives, strengthening investor trust in the market.

The results suggest that companies’ potential auditing, agency and litigation issues could be addressed through fairness in the information content of voluntary disclosures.

This examination presents a firm valuation model in which voluntary disclosure tackles an ethical issue, the resolution of which depends on the “audit quality” and “cross-border stock market listing.”

This article investigated whether the executives' compensation and corporate governance attributes are aligned with stakeholders' demands for higher corporate voluntary disclosures. Moreover, the study also examined the moderating role of the auditor's reputation in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

The study used a sample of S&P BSE index constituents' 90 Indian firms for 2017–2019. The voluntary disclosure scores were fetched from the India Disclosure Index Report published by FTI Consulting. This analysis was carried out in two parts by applying four panel-data regression models in the agency and signalling theories framework. First, the study examined the association between executive compensation, board strength, composition, gender diversity, and voluntary disclosures. Second, the article investigated the moderating role of the “Big 4” in the direction of association among executive compensation, corporate governance attributes, and voluntary disclosures.

The willingness of executives to share private information with stakeholders depends on the compensation they receive from their employer. The higher compensation paid to executives leads to a higher “tone from the top,” which is better aligned with stakeholder interests. Further, the research also found that bigger board sizes, a higher proportion of independent and woman directors (indicators of good governance), and an auditor's reputation are associated with increased voluntary disclosure.

The findings showed that the executives' compensation and corporate governance attributes are aligned with stakeholders' demand for higher voluntary information from firms. Moreover, the study also found that the “Big 4” play a moderating role in this direction. The choice of a reputed auditor indicates the firms' long-term positive future perspectives, which strengthens investor confidence in the financial market.

The study suggests that fair executive compensation can address the agency problem.

This research furnishes managers and different stakeholders with significant implications of executives' compensation, corporate governance, and auditor's reputation in the best interests of a firm through reducing potential risks of information asymmetry.

The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following the second round of COVID-19 in India.

A cross-sectional study was carried out using an online questionnaire. In total, 505 individuals participated through convenience sampling. To measure anxiety, depression and stress, the Depression Anxiety Stress Scale (DASS-21), a 21-statement self-reported questionnaire, was used.

Multiple regression analyses were performed to evaluate the sociodemographic characteristics associated with depression, stress and anxiety. Results indicated salary/allowances reduction and alcohol consumption were associated with depression. Multiple regression also indicated that salary/allowances reduction, smoking status and alcohol consumption were associated with stress. In addition, this research also showed that chronic disease, salary/allowances reduction, smoking status and alcohol consumption were associated with anxiety.

During the second COVID-19 wave in India, various individuals were affected. Anxiety, depression and stress were common among Indians after the second wave of COVID-19. Along with other actions to restrict the development of COVID-19, the Indian Government and mental health specialists must pay close attention to the inhabitants' mental health. More large-scale studies on various occupations should be conducted, and new mental health factors should be included.

This study provides empirical insights related the sociodemographic factors and stress, anxiety and depression.

This study aims to understand the role of university incubation centers (UICs) in fostering startup growth within an academic ecosystem, focusing on enhancing their effectiveness.

Data was collected from startups and incubation centers in Karnataka, India. Warp partial least squares 6.0 was used for path analysis to examine the relationships between institutional pressures, startup performance and resource acquisition.

UICs in India effectively support startup growth. Mimetic isomorphism positively influences resource munificence, while normative isomorphism enhances monitoring and assistance. Coercive pressures negatively impact startup performance.

The research is limited to India. Future studies in other developing countries would help validate and extend these findings, offering a more comprehensive understanding of incubation center dynamics globally.

This study offers insights on optimizing UIC operations to better support startups. By integrating institutional theory, it highlights the significance of legitimacy, professional standards and strategic location in enhancing incubation center effectiveness.

UICs play a crucial role in bolstering the startup ecosystem, essential for employment generation and economic development in India. Effective incubation centers drive innovation and entrepreneurship, contributing to broader societal benefits.

This study fills a gap by focusing on South Asia, providing insights into the unique challenges and opportunities faced by UICs in developing countries and enhancing understanding of incubation practices in these regions.

COVID entered the world in 2019 as a pandemic and the intensity of this health crisis is only increasing in several regions. Therefore, it is critical to study and detect the public's frame of mind, government and economists' perception regarding the COVID crisis, as well as the primary worries that the public has expressed, and how this evolves over time. Responsive measures towards COVID-19 from the Indian economy have been explored as a key objective. Moreover, efforts have been made to explore recovery in India through economists and policymakers. Data have been explored through online interviews of key economists which were published in leading newspapers and covered through media channels such as NDTV, CNBC, etc. Moreover, various newspapers and reports were explored to understand government initiatives to address COVID-19 in India. The study's findings show how essential economic recovery from the second wave is in India, and how it may be achieved by strong fiscal and monetary policies, as well as specific attention to impoverished households, small and micro-businesses and increased employment. The short-term focus of the developing economic strategy must be on giving crisis relief to the most unprotected segments of society since long-term system stimulation is impossible.

This study aims to investigate the effect of monetary policy transmission on the use-based classification of manufacturing industries in India, an integral aspect influencing the overall economic growth of the nation.

The empirical study applies a panel autoregressive distributed lag model to examine the relationship/association between monetary policy transmission mechanism and the output of manufacturing industries in the long run and short run.

In the long run, the findings reveal a negative association between money supply and manufacturing industries’ output, indicating that an increase in money supply corresponds to a decrease in manufacturing output. Conversely, a positive relationship is observed between manufacturing industries’ output and banks’ credit, indicating that an increase in bank credit leads to a corresponding increase in manufacturing output. In the short run, the results highlight a significant positive relationship between manufacturing output and monetary policy transmission variables, including money supply, statutory liquidity ratio, real exchange rate and foreign direct investment. The use-based classification of manufacturing industries such as primary goods, capital goods and intermediate goods exhibits greater responsiveness to monetary policy shocks than consumer durables and non-durables goods.

Policymakers are advised to regulate credit expansion to support the industry without risking financial instability, with key recommendations including stimulating consumer demand and adopting sector-specific policies to promote sustainable growth across diverse manufacturing sectors.

India, being a developing economy, efficient monetary policy transmission is crucial for boosting manufacturing output and employment. Nevertheless, there has been a scarcity of research concentrated on this pivotal intersection. This study aims to fill that gap, providing fresh insights into how monetary policy affects the growth of the manufacturing industry.

The purpose of this paper is to identify and rank the various barriers of the CSR implementation in Indian manufacturing companies. Further, this paper also studies interaction of different barriers.

The study was carried out using an interpretive structural modeling (ISM) approach to analyze the interaction among different barriers for corporate social responsibility (CSR) implementation in manufacturing companies in the Indian context.

In the present study, ten CSR implementation barriers were identified through an extensive literature review followed by the expert’s opinion. The present study outlines that lack of money and consumer’s passive attitude towards CSR are the major barriers in CSR implementation in Indian manufacturing companies. On the other hand, top management commitment, lack of knowledge about CSR and lack of skills for CSR implementation are barriers which occur due to the investment required in term of time and consumer’s passive attitude.

The present study is helpful to both academicians and practitioners by providing a model of CSR barriers. This study is important in the context of India which is a developing economy and this development is exerting pressure on the corporations to adopt CSR in their practices. This ISM-based model of barriers of CSR implementation in the manufacturing sector will help practitioners and managers to have enhanced knowledge about these barriers and to concentrate on important barriers to implement CSR activities in their organizations in an efficient manner.

The purpose of this chapter is to analyze disaster exceptionalism in India, focusing on the case of Kosi river floods in the State of Bihar and their impact on Dalit communities. Data were gathered through document analysis and a qualitative approach based on interviews with national and local leaders and activists of NGOs and Dalit organizations. The main finding is that there are no second-generation social movements related to disasters in India, mainly in what concerns Dalit discrimination. The Disaster Management Act of 2005 reinforced the centralized and top-down nature of the Indian state concerning disasters. On the other hand, national Dalit organizations like National Confederation of Dalit and Adivasi Organisations (NACDAOR) and National Dalit Watch do not possess the expertise to alter the approach to disasters from a contingent and exceptional one to a more structured and long-term perspective.

The chapter shows how extreme events and permanent hazardous situations tend to increase the legitimacy of state intervention, often involving the suspension of social and economic norms, creating a state of exception, which indicates the inevitable presence of the state. The abyssal line that separates those individuals and groups that are integrated from those defined as disposable and invisible crosses through both the Global South and the little colonies of the North, reinforcing the logic of states that want to be bigger and stronger than their own citizens.