Working capital is one of the important measures of a firm’s efficiency and represents the total liquid assets available with a firm. It reflects a firms’ ability to meet day-to-day operating expenses and also acts as an indicator of a firm’s short-term financial health. So a firm has to plan the effective utilisation of its working capital in order to maintain equilibrium between liquidity and profitability of the business. Therefore, the present article tries to examine the impact of working capital management on profitability of the firms of Indian steel industry. The study has taken into consideration four independent variables, that is, Current ratio, Quick ratio, Debtors turnover ratio and Finished goods turnover ratio which act as the indicators of working capital use in the industry. Return on total assets represents the profitability of the industry and acts as a dependent variable to develop an empirical model in order to establish relationship between working capital management and profitability of the steel industry in India by using panel data regression. The period of study is 17 years, that is, 2000–2016. The result of the study indicates that the impact of working capital management on profitability of the firms of Indian steel industry has been significant.

This study attempts to establish the relationship between market dynamics and service components for the quality of the service of e-banking over a period of 5 years. The study used the Kano et al. (1984) questionnaire to identify the 15 variables, determining the customer’s satisfaction for quality improvement in e-banking services, based on a survey conducted among bank customers. Kano model’s attributes of CS were quantified by calculating the CS and dissatisfaction index with the average satisfaction coefficient over the time frame. The study concludes that over time, the customer requirement has gone through a major shift from one category to the other. To maximize customer satisfaction, this study will help the banking sector to identify the essential and competitive customer requirements, and design products and services accordingly.

Profitability is used as a prime indicator to measure the sustainable performance of an organization. The current study made an attempt to apply the DuPont model to investigate the multilevel profitability determinants for the pharmaceutical industry of India. The study also estimates an empirical model to predict the association of profitability with factors such as profit margin, asset utilization, leverage, interest load and tax load of firms in the pharmaceutical industry of India. For this purpose, a dataset for 170 companies from 2010–2011 to 2018–2019 was analysed initially by using panel data regression followed by stepwise panel data regression. The study successfully applied and tested the DuPont model with respect to the firms of the pharmaceutical industry in India. It was found that the factors such as profit margin, asset utilization and leverage had a significant positive effect on the firms’ profitability and the factor interest load had a significant negative effect on the firms’ profitability. The tax load does not have an impact on the profitability of the pharmaceutical firms in India. These findings are expected to provide a guide for understanding the profitability of the firms in a better way.

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