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This study aims to evaluate the relationship of corporate social responsibility (CSR) reporting with the financial performance of firms using various market and accounting-based parameters in a developing economy, India.

The study uses content analysis to develop a CSR reporting index for the Indian firms listed on the Bombay Stock Exchange. The two-step system generalized methods of moments has been used for the estimation of the panel data.

The results from the study suggest that the CSR reporting-based activities of the firms may impact the financial performance of the firms, but at the same time, the need of the hour is to create awareness among the investors and market players so that they realize the relevance of CSR reporting, which can further improve other dimensions of financial performance as well.

The study relies on Tobin’s Q and return on assets while measuring financial performance, though there are various other parameters that can be used to gauge the performance. The outcomes of this study have practical implications for the practitioners as well as policymakers, incentivizing them to integrate CSR aspects into their decision-making frameworks.

To the best of the authors’ knowledge, this is the first Indian study to develop a unique index for CSR reporting and linking it with financial performance. This study shall assist the researchers in broadening the scope of CSR studies in India and can be used to draw a systematic comparison with developed nations.

With growing environmental and social issues worldwide, sustainability disclosures and reporting have become a focal point of discussion. This study aims to investigate the role played by gender diversity in sustainability disclosures in the context of India, over a period of eight years.

The study devises a unique sustainability reporting quality index and employs the generalized ordered logit model, which ensures that results are parsimonious even if the assumptions under a logit model are violated.

The results suggest that with an increase in the percentage of women directors and the number of independent women directors on board, the sustainability reporting quality is likely to improve.

The results of the study shall play a significant role for the corporate houses established in India, as it encourages them to modify their directors' selection process and ensure that women are able to break the “glass ceiling” to reach the upper echelon in the firms.

The study gives an insight into the role played by women directors in sustainability reporting quality aspect, and therefore, the regulatory bodies, as well as policymakers of the Indian economy, shall formulate such regulations which can advance the presence of women on the board and in the decision-making process.

This study is among the first to investigate the relationship between gender diversity and sustainability reporting quality using the generalized ordered logit model which is an improvement over the previously used techniques. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.

This study aims to evaluate the impact of gender diversity on corporate boards on firms’ financial performance in the context of the Indian information and technology (IT) sector. The Companies Act 2013 brought forth mandatory provisions for the appointment of women directors for a certain class of companies. This study explores the case of board gender diversity in the Indian IT sector’s unique setting.

The study uses a fixed effect panel data regression model to achieve its objectives. Two widely used diversity measures, Blau Index and Shannon Index, have been used to enhance the robustness of the results.

The results of the study indicate an insignificant relationship between gender diversity and firms’ financial performance. Even the diversity indices portray insignificant results confirming the outcomes of the study. The study indicates that IT sector firms have not been able to leverage the benefits of board gender diversity.

The results of the study have important policy implications for the government, regulatory bodies and corporates. The outcomes point out that the benefits that could have accrued based on the diversity aspect could not be harnessed, as the women’s representation on corporate boards is extremely low. Policymakers and government shall focus on devising stringent laws so that better representation of women directors can be used for the interests of the firms.

The study is an attempt to fill the gap in the extant literature which has a scarce number of studies conducted in the unique setting of the IT sector (both in developed and developing economies). To the best of the authors’ knowledge, this is the first study on the influence of board gender diversity in the IT sector of a developing economy, backed by socio-cultural reasons.

This study aims to highlight the impact of introducing women directors to board committees, thereby empowering them to contribute to decision-making, and as a result, influence firms’ financial performance in an emerging economy.

This study uses a fixed-effects panel data regression model to test the impact of gender diversity on corporate boards as well as board committees on firms’ financial performance. Two widely used diversity measures, the Blau index and the Shannon index, have been used to enhance the robustness of the results.

The findings suggest that gender diversity on prominent board committees (remuneration committee and nomination committee) positively affects firms’ financial performance when measured by the market-based performance measure, but it is insignificant when measured through accounting-based performance indicator. Furthermore, the benefits of gender diversity accrue to the firms only when women are part of prominent committees and are engaged in governance mechanisms, rather than just being appointed on corporate boards as a means of tokenism.

This study is among the first to investigate the relationship between gender diversity and financial performance through the lens of committee assignments. Moreover, the unique cultural and institutional setting offered by India, which is an emerging economy, provides a fertile ground for understanding the role of women leaders in the workforce.

Differences in institutional environment and governance structures pave the way for heterogeneous nature of different businesses; this, in turn, shapes the way various sections of society act toward each other enacting their responsibilities. Taking into account the unique institutional environment and governance structures of firms in developing economies, this paper aims to build on the “stakeholder theory” to address the issue of the implementation of corporate social responsibilities (CSR) practices in these economies, particularly India. This paper also aims to uncover the saliency (legitimacy and power) of different stakeholder groups on different aspects of a firm’s CSR activities. Further, as most of the firms in developing economies are family-run firms, the paper examines role of organizational leadership in shaping firms’ CSR strategies.

Integrating literature on “stakeholder theory” and CSR, this paper examines the implementation of different CSR practices by family-run firms in India. This paper uses survey research to collect data from 80 privately held family firms operating in apparel and textiles industry in India. The data have been collected from respondents holding top leadership positions in the sample firms.

The findings indicate that pressure from primary stakeholders (i.e. customers, employees and shareholders) and CSR-oriented leadership belief significantly influence organizational implementation of CSR practices, whereas pressure from secondary stakeholder (i.e. community groups and non-governmental organizations) was found to be insignificant. Further, CSR-oriented leadership belief moderated the relationship between primary stakeholder pressure and organizational implementation of CSR practices. The findings equally highlighted lower saliency of secondary stakeholder’s legitimacy and power because of weak institutional mechanisms, while on the other hand, the primary stakeholders exert considerable power because of the direct nature of transactional legitimacy, further accentuated by the governance structure in family firms.

This paper is among the very few studies that address the issue of CSR among family-run businesses in developing economies. Existing frameworks on analyzing firm’s implementation of CSR practices does not recognize the inherent heterogeneity among different stakeholder groups. Recognizing that different stakeholders have different levels of influence over firms, this paper categorized the stakeholders’ groups into primary and secondary to analyze their differential impact over firms. Additionally, given the critical role of leadership belief in the implementation of CSR practices, this paper analyzed the moderated effect of CSR-oriented leadership belief toward developing a more robust model of CSR implementation.

The current natural language processing algorithms are still lacking in judgment criteria, and these approaches often require deep knowledge of political or social contexts. Seeing the damage done by the spreading of fake news in various sectors have attracted the attention of several low-level regional communities. However, such methods are widely developed for English language and low-resource languages remain unfocused. This study aims to provide analysis of Hindi fake news and develop a referral system with advanced techniques to identify fake news in Hindi.

The technique deployed in this model uses bidirectional long short-term memory (B-LSTM) as compared with other models like naïve bayes, logistic regression, random forest, support vector machine, decision tree classifier, kth nearest neighbor, gated recurrent unit and long short-term models.

The deep learning model such as B-LSTM yields an accuracy of 95.01%.

This study anticipates that this model will be a beneficial resource for building technologies to prevent the spreading of fake news and contribute to research with low resource languages.