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This chapter outlines current developments in Indian libraries, information services and cultural sector collectively highlighting recent trends and developments as India increasingly takes centre stage in the area of libraries and information literacy development. The chapter also provides a critical analysis of library and information science education in India and highlights the need for government strategies and policies related to public libraries. Some 17 federal states and union territories in the Republic of India have no public library legislation and therefore low literacy rates. India needs public awareness campaigns, civic engagement and community developments including the grass-roots empowerment of public libraries. Financial reforms, modernization and federal funding strategies for public libraries are also required to energize cultural organizations and national libraries. A recent major development is the establishment of a National Commission on Libraries following recommendations by the National Knowledge Commission. However, Indian public libraries do not cater sufficiently for the growing youth population or other strata's of Indian society. The growing Indian higher education sector also necessitates information policies for open access, digital preservation and repositories development.

The authors examine the relationship between credit default swaps (CDS) initiation and managers’ earnings forecast choices with different corporate governance structures. The authors expect that corporate governance plays a significant role in managers’ disclosure behavior as well as CDS initiation. The findings suggest that CDS initiation and managers’ earnings forecast behavior are positively associated. Firms with a strong monitoring mechanism issue a higher number of earnings forecasts and also issue forecasts more frequently when there is a traded CDS contract in the market. Additionally, the results suggest that managers issue more accurate earnings forecasts. Overall, these findings imply that the role of managers is important to mitigate the information asymmetry between individual and institutional investors when there is a new financial instrument because the development of the regulations and market rules for these instruments takes a longer time.

This chapter focuses on testing optimal capital structure theory: The role of intervening variable debt to equity ratio (DER) on the influence of the financial performance, Ownership Structure of Independent Board of Commissioners (IBCO), Audit Committee (ACO), and Institutional Ownership on Firm Value. The research design was explanatory research using path analysis. Using purposive sampling, 61 manufacturing companies, observation period from 2014 to 2018 with 286 N samples. The research novelty empirically can prove the role of intervening variable DER on the effect of return on assets (ROA) on firm value and shows the market response to the ROA is fully reflected by DER, indicating the existence of an optimal capital structure. The role of DER on the effect of ROE and IBCO on firm value is a partial mediation with the inverse direction. This phenomenon shows that the mechanism of forming a balance between the responses of investors and creditors relates to debt financing.

Introduction: The insurance sector provides security to society by pooling resources to manage risks. Insurers’ improved ability to analyse risks by examining vast amounts of granular data has considerably refined this technique. Compiling and analysing the fine data sets is now transformed into the ‘Big Data’ technique. The introduction of big data analytics (BDA) is transforming the insurance industry and the role data plays in insurance.

Purpose: This chapter will attempt to examine the applications and role of big data in the insurance sector and how big data affects the different insurance segments like health insurance, property and casualty, and travel insurance. This chapter will also describe the disruptive impact of big data on the insurance market.

Methodology: Systematic research is carried out by analysing case studies and literature studies, emphasising how BDA is revolutionary for the insurance market. For this purpose, various articles and studies on BDA in the insurance market are selected and studied.

Findings: The execution of big data is continuously increasing in the insurance sector. The performance of big data in the insurance market results in cost reduction, better access to insurance services, and more fraud detection that benefits the customers and stakeholders. Therefore, big data has revolutionised the insurance market and assisted insurers in targeting customers more precisely.

Several high-profile prescription drugs have been withdrawn from the U.S. market in the last decade, yet there is no direct evidence of how a prescription drug withdrawal affects consumers’ use of remaining drugs within the same therapeutic class. In theory, remaining drugs in the therapeutic class could enjoy competitive benefits or suffer negative spillovers from the withdrawal of a competing drug. Using the Medical Expenditure Panel Survey, we test for spillovers following prescription drug withdrawals in six therapeutic classes between 1997 and 2001. Results vary, but we find stronger evidence of negative spillovers than competitive benefits. We conclude with a discussion of the characteristics of drugs and classes that may influence how remaining drugs are affected by a withdrawal in the class.

Many previous event studies have found unexpectedly large losses to firms involved in negative incidents. Many of these studies' authors explain such losses as “goodwill losses” or “reputation effects.” To test this hypothesis, we search for residual losses (in excess of direct costs) to firms involved in events that produce ill will, but do not affect the quality of the firms' final products nor break implicit labor or supply contracts. Our sample of events is 73 negative environmental events reported in the Wall Street Journal between 1970 and 1992 in which electric power companies or oil firms with listed stocks were involved. We find an overall insignificant capital market response. We interpret this as showing that firms are punished only for actions that actually harm customers or suppliers. Although others have found similar outcomes, our results enhance previous research by extending the findings to a broader range of environmental incidents over a longer time period. Further, our findings suggest that the large residual losses in other event studies may be due to reputation mechanisms (and not measurement errors or event study idiosyncrasies), when defined traditionally — only those who are (potentially) harmed incur the costs of punishment.