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After the financial crisis, the Indian banking system has accumulated a mountain of bad loans which has crippled the banking sector and halted the credit flow to the industry. Several immediate causes for the bad loan crisis have been pointed out. However, poor market discipline, the ultimate root cause of the bad loan crisis, has not been paid adequate attention. This study seeks to investigate how effectively the market disciplinary forces, captured through information disclosure, interbank deposits, concentration and ownership structure, incentivise the Indian banks to adopt prudential risk management by enhancing their risk‐weighted capital ratio. The findings of the study show that information disclosure and interbank deposits do not induce prudential risk behaviour among banks in India. However, with increasing concentration in the banking sector, a higher level of information disclosure effectively induces banks to maintain higher capital ratios, but inter‐bank deposits do not have any significant effect on bank capital. We also observe that government banks maintain lower capital ratios as compared to private banks indicating government banks' higher expectation of government bailout. [ABSTRACT FROM AUTHOR]

In this paper, a new Economic Order Quantity (EOQ) model for a successive generation of technology products has been discussed. The classical EOQ model is based on the assumption that the demand rate is constant. Hence it cannot be used for technology products where competition-substitution among products is a usual phenomenon. To address this problem, the EOQ model proposed in this article is considered a demand model for a technology product that follows the innovation-diffusion process. A numerical example has been illustrated and a comprehensive sensitivity analysis is conducted to understand the path of the optimal planning horizon and optimal costs under varied innovation and imitation effect. The sensitivity analysis of the introduction timing of the second generation has been performed to know the applicability of the model in actual circumstances. The behavior of the model has been discussed in detail in the numerical illustration section. [ABSTRACT FROM AUTHOR]

In recent years several studies have been made to understand the impact of Socially Responsible HRM practices on Organizational Performance. Employee progress, community and environment play an important role in the sustainable growth of an organization. Thus, organizations are always looking for the ways to improve the employee satisfaction vis-a-vis commitment to improve the performance. Recent studies have shown that as employees are important stakeholder, hence formulating proper Socially Responsible HRM practices may help organization to better the returns on assets. The main objective of the study is to identify the relationship among various dimensions of Socially Responsible HRM practices with dimensions of employee satisfaction, employee commitment and organizational performance for Indian manufacturing sector by using Bayesian Network approach. Results of the study establish the relationship between dimensions of Socially Responsible HRM and Organizational Performance. [ABSTRACT FROM AUTHOR]

Byline: Amit Kumar Bardhan, Udayan Chanda Modelling the new product sales growth and forecasting the future over the product life-cycle has been an important area of research in Marketing. Many models on this topic have also been extended for describing the diffusion of products having multiple technological generations. But factors influencing diffusion of such products are very distinctive and therefore the modelling approach needs to be different. This paper proposes a model that improves upon some well-know models to study the sales growth of successive generation of products. The model has been validated on a sales-data and has also been compared with an established model.

Byline: Udayan Chanda, A.K. Bardhan Business organisations introduce new products in the market to beat competition and increase profit. For high-technology products, continuous innovations promise better performance, feature enhancements and quality improvement. Often, consecutive technology generations compete in the market, which calls for synergistic decision-making on marketing variables. At around the time of its introduction, the time path of prices for two competing technologies can show interesting patterns vis-a-vis their sales. It is important to understand the influence of marketing variables on consumer psychology to predict the adoption process of new technology. This paper focuses on studying the relative changes in diffusion parameters and marketing decision variables through sales models developed for multiple-generation products.

Byline: Amit Kumar Bardhan, Udayan Chanda Modelling the new product sales growth and forecasting future sales has been an important area of research in Marketing Science. Models have been proposed to map the consumer buying behaviour against explanatory variables such as price, promotional effort, quality, time, etc. In comparison, high technology products have received less attention. These products usually have many generations, each succeeding generation being an improvement over the previous one. This paper discusses some well-known models in this area and also proposes a new one. The new model uses the relationship between the repeat purchasers and the new purchasers in the overall diffusion of a new technology over multiple generations, by separately identifying the two types of adopters. This model has been validated on sales-data and has also been compared to an established model.