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This study introduces influential-female-directors as a board-gender-diversity variable that captures not only the female representation on the board but also their position on the informal-boardroom-hierarchy. Further, this study investigates whether such directors have a significant influence on the dividend-payout-decisions of leading firms in an emerging economy, India, where concentrated ownership is prevalent and explores the moderation effect they exert on dividend–ownership relationship.

This study uses generalized methods of moments (GMM) to tackle the issues put forth by the sample of 450 firm-year observations.

This study finds that influential-female-directors have a significant influence on the dividend-payout-decisions of the firm. Additionally, the presence of female directors in the audit-committee makes the board more vigilant and encourages foreign institutional investors to expect more dividends. Furthermore, domestic institutional investors expect a return on their investments through share price appreciation rather than dividends, and the influence of promoters in dividend-payout-decisions is reduced in the presence of such directors.

This study pioneers the use of influential-female-directors as a board-gender-diversity metric and carries an in-depth analysis of the influence and moderation effect they exert on the dividend-payout-decisions of the board and the dividend expectations of different institutional investors, respectively.

This paper aims to analyze the stock price reaction because of dividend reduction (DR) announcements in the Indian equity market, controlling for share repurchases.

The sample comprises National Stock Exchange (NSE) 500 companies listed in the NSE Ltd. covering a time span from year 2009 to 2019. Using the event study methodology, the authors measure the impact of DR announcements on security prices around the event day. The authors also examine the price response to DRs at the interim stage versus the final stage and identify the factors that drive the decision to reduce dividends at the interim level versus final level.

The authors find that overall DR announcements negatively impact abnormal returns. Firms that experience stronger adverse price reaction following DR announcements resort to share repurchase in the same year to boost stock prices. The authors find that interim DRs create more negative price reactions than final DRs. Finally, firms experiencing lower levels of prior year earnings, firms with smaller sizes and overvalued firms tend to reduce dividends at the interim level instead of postponing the reduction to the final level.

This paper examines stock price reaction because of DR announcements of Indian firms. The sample comprises firms that reduce dividends with contemporaneous share repurchases as well as firms that reduce dividends without contemporaneous repurchase activity. To the best of the authors’ knowledge, studies on substitution effect of dividends with buyback in the context of Indian equity market are rare. Further, investigating the difference in stock price movement because of DRs at the interim level versus the final level is the unique contribution of this paper.

Indian and Chinese businesses are slowly making advances in each other’s markets. The purpose of this study was to understand factors that influence the business environment of a country and how does it compare between India and China.

The study uses firm-level survey data from the World Bank’s Enterprise Surveys. The study considered survey data for 2,700 Chinese firms and 9,281 Indian firms. Exploratory factor analysis and structural equation modeling were used to analyze the factors that drive the business environment in both countries and why differences appear.

The data set reveals different factor structures for India and China. Across both the countries, infrastructure support and governance play a major role in shaping the business landscape, though in the case of India, regulatory dynamics play a crucial role. The study concludes that these differences drive the basic difference in business environment across both countries.

The study considers only the formal sector, and informal businesses have been left out because of paucity of data. The dynamics of informal business sector can be considered for future studies.

While making market entry or investment decisions globally, businesses can analyze country-specific environmental factors through this framework. As the study is based on the perceptions of businesses, policy-makers can also focus on these factors to attract businesses to specific countries or regions.

The study is an original research study. The study adds to the existing academic literature and is expected to help policy-makers and senior managers in focusing on specific aspects of business environment when developing policies or taking market entry decisions.

The COVID-19 pandemic compelled the education system to switch over to emergency learning-teaching that is organised remotely. The present study investigated the experience of emergency remote learning (ERL) provided to higher-education learners. The study explores learners' perceived experience regarding the quality of learning resources, the effectiveness of teaching in a virtual climate and the scope of interaction in ERL.

Utilising a snowball sampling method, data were obtained from 470 Indian students of higher education through a cross-sectional online survey using a questionnaire through social media platforms. Data were analysed with relevant statistics.

The majority of students agreed that they had benefited from ERL. The overall impression of the ERL is positive; nevertheless, the students are perplexed and lack confidence in many aspects of the ERL. The Quality of ERL Resources, Teaching Effectiveness, Peer Interaction and Workloads were found to be significant factors in determining the quality of ERL.

Learning from the crisis of a pandemic is paramount for the education system. The education system could not go back to what was considered normal before the pandemic; rather it is time to assess and finalise strategies from the experience during this pandemic that could be taken by the higher-education institutions to make the ecosystem better equipped to create 21st-century learning climate. Accommodating the components of remote learning-teaching and engaging technology towards hybridisation are the needs of the time. Hence, assessing the quality of ERL from the learner's perspective might contribute to redesigning future remote learning.

The purpose of this paper is to perform the computational fluid dynamics (CFD) simulation with experimental validation to investigate the particle segregation effect in abrupt and smooth shapes circulating fluidized bed (CFB) risers.

The experimental investigations were carried out in lab-scale CFB systems and the CFD simulations were performed by using commercial software BARRACUDA. Special attention was paid to investigate the gas-particle flow behavior at the top of the riser with three different superficial velocities, namely, 4, 6 and 7.7 m/s. Here, a CFD-based noble simulation approach called multi-phase particle in cell (MP-PIC) was used to investigate the effect of traditional drag models (Wen-Yu, Ergun, Wen-Yu-Ergun and Richardson-Davidson-Harrison) on particle flow characteristics in CFB riser.

Findings from the experimentations revealed that the increase in gas velocity leads to decrease the mixing index inside the riser. Moreover, the solid holdup found more in abrupt riser than smooth riser at the constant gas velocity. Despite the more experimental investigations, the findings with CFD simulations revealed that the MP-PIC approach, which was combined with different drag models could be more effective for the practical (industrial) design of CFB riser. Well agreement was found between the simulation and experimental outputs. The simulation work was compared with experimental data, which shows the good agreement (<4%).

The experimental and simulation study performed in this research study constitutes an easy-to-use with different drag coefficient. The proposed MP-PIC model is more effective for large particles fluidized bed, which can be helpful for further research on industrial gas-particle fluidized bed reactors. This study is expected to give throughout the analysis of CFB hydrodynamics with further exploration of overall fluidization.