Purpose -The purpose of this study is to investigate empirically the relationship between intellectual capital and financial performance of 65 Indian banks for a period of ten years from 1999 to 2008. Design/methodology/approach -Reserve Bank of India's database and Annual reports, especially the profit and loss accounts and balance sheets of the banks for the relevant years have been used to obtain the data. Value added intellectual coefficient (VAICt) method is applied for measuring the value based performance of banks. Return on assets (ROA) and return on equity (ROE) are used to measure the profitability and productivity of Indian banks, measured by assets turnover ratio (ATO). The intellectual capital (human capital and structural capital) and physical capital of selected banks have been analyzed and their impact on corporate performance has been measured using multiple regression technique. Findings -The analysis indicates that the relationships between the performance of a bank's intellectual capital, and financial performance indicators, namely profitability and productivity, are varied. The study results suggest that banks' intellectual capital is vital for their competitive advantage.Research limitations/implications -The study uses only 65 leading Indian banks, including foreign banks operating in India. The value added intellectual coefficient (VAICt), introduced by Pulic, is used in this study as a basic methodology to measure the IC performance of banks. Practical implications -The VAICt method can be used as an important tool by the decision makers in the knowledge economy to integrate the intellectual capital in the decision making process. Originality/value -This is one of the first empirical researches in India that examines the impact of IC on financial performance of the Indian banking sector in the long term.

Purpose -This paper seeks to estimate and analyze the relationship between intellectual capital and corporate conventional financial performance measures of Indian software and pharmaceutical companies for a period of five years from 2002 to 2006. Design/methodology/approach -Annual reports, especially the profit and loss accounts and balance sheets of the selected companies for the relevant years have been used to obtain the data. International literatures on intellectual capital with specific reference to measurement tools and techniques have been reviewed. Value Added Intellectual Coefficient TM (VAIC) method is applied for measuring the value based performance of the companies. Corporate conventional performance financial measures used in this analysis are: profitability; productivity; and market valuation. It is an empirical study using multiple regression analysis for the data analysis. The intellectual capital (human capital and structural capital) and physical capital of the arbitrarily selected companies have been analyzed and their impact on corporate performance has been measured using multiple regression technique. Findings -The analysis indicates that the relationships between the performance of a company's intellectual capital and conventional performance indicators, namely, profitability, productivity and market valuation, are varied. The findings suggest that the performance of a company's intellectual capital can explain profitability but not productivity and market valuation in India.Research limitations/implications -The study has been conducted on a small sample of 80 companies belonging to the India software and pharmaceutical sectors. For a better understanding, a larger data set covering all prominent industry segments will be helpful. Practical implications -Intellectual capital is an area of interest to numerous parties, e.g. shareholders, managers, policy makers, institutional investors. This paper throws some light on the new performance indicator, which Indian managers can use in order to evaluate the corporate performance and benchmark it with global standards. This is useful particularly in the context of the "knowledge economic" environment. Originality/value -The paper represents a pioneering attempt to understand the implications of the business performance of the Indian software and pharmaceutical sectors from an intellectual resource perspective.

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Inclusion of intermittent natured renewable energy resources in microgrid to reduce global warming, especially in shipboard power system and due to highly fluctuating propulsion load, frequency control strategy of isolated shipboard hybrid microgrid (ISHMG) is major point of attraction. Hence, a power system of marine vessel with dish‐stirling solar thermal system (DSTS), wind‐driven generation (WDG), solid oxide fuel cell (SOFC), super‐conducting magnetic energy storage (SMES), two different AC‐loads, and propulsion loads are considered as an ISHMG. The main objective of this paper is reducing the mismatch between generation and demand with the help of fractional‐order proportional integral‐derivative (FOPID) controller. To improve the frequency control, the tuning of the controller coefficients plays a major role as the controller's performance fully dependent on the parameters. Accordingly, the recently developed butterfly optimization algorithm (BOA) has been used to optimize the FOPID controller's parameters. Comparative analysis of several techniques like FA, PSO, GOA, SSA, and BOA used for PID, PI, FOPID controllers' optimization, and sensitivity analysis under different parametric variation has been presented to prove the stability of the ISHMG model. Analyzing all the results, it is found that BOA‐based FOPID controller is performing the frequency control far better than other techniques.

PurposeThe impact of the intellectual capital disclosure (ICD) on the cost of equity capital (COEC) is not well established in the aspect of the Indian scenario. So the objective of this paper is to examine not only the overall effect of ICD but also the individual effect of human capital disclosure (HCD), relational capital disclosure (RCD) and structural capital disclosure (SCD) on COEC.Design/methodology/approachThis research work is conducted by regressing COEC, firm size, leverage, industry type and disclosure index. The disclosure index is prepared based on content analysis of disclosure made in the annual reports of a sample of 50 companies listed in the Nifty 50 index for the year 2018–2019. But in this paper 20 companies are eliminated due to their negative COEC and rest 30 companies are used as the sample companies for this study.FindingsThe outcome of this study indicates a negative association between the disclosure of intellectual capital (IC) as a whole and the COEC. But a negative association only for two components (human capital and structural capital) with the COEC is found only when the association of COEC with the categories of ICD is considered.Originality/valueThis is the first study that examines the nexus between the level of ICD and its impact on the COEC in India context.