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Introduction: Blockchain is gaining attention in various industries and sectors. It is described as an emergent technology with immense possibilities similar to how the internet has revolutionised how businesses are currently carried out. Still, various sectors have either not adopted or are in a very nascent stage to adopt blockchain technology in their operations. The current research examines how blockchain can be used in the insurance sector. This industry was chosen as it is extremely relevant in today’s world and directly bears its economy.

Purpose: To determine the current and future path in which the insurance industry is moving about blockchain technology adoption and find synergy between blockchain technology and the insurance business.

Need for study: The insurance industry is highly relevant in today’s world and directly bears the country’s economy. Additionally, blockchain is an emergent technology with immense possibilities similar to how the internet has revolutionised how businesses are done. The current research looks at how blockchain can be used in the insurance business.

Methodology: A systematic literature review was conducted in this study by reviewing literature related to blockchain technology and the insurance sector. Science direct was used as a source of information. For this study, the literature review approach was chosen since it allows us to trace the growth of the subject matter and identify the patterns that have formed through time.

Findings: The study found that the insurance sector has recognised the latent benefits of blockchain technology and has begun to develop its usage in selected cases such as fraud prevention and risk assessment.

Practical implications: The current study can be referred to by academicians, marketers, industry people, and policymakers. The study encourages companies and academicians to further investigate the usage of blockchain in insurance.

Introduction: The insurance industry is vulnerable to attacks as it deals with the personal information of its consumers and puts the insurance company’s business at risk in the event of data breach or abuse. To ensure the security of customer data, insurance companies must comply with various data protection requirements, including requirements imposed by laws, regulations, and standards. Following such a wide range of conditions can be challenging for insurance providers. For a long time, risk management has controlled data protection to ensure compliance with data protection law and ensure that data are processed correctly and that people’s fundamental rights are protected effectively.

Purpose: This chapter explains the role and significance of risk management. An organised way to identify and assess risks, mitigate or avoid risks as much as possible, and then manage and accept the remaining risks, implemented in data protection as needed, explained by the supervisory authority, is implemented by the responsible organisation. This document highlights the growing consensus surrounding risk management as an essential tool for adequate data protection. Furthermore, it addresses vital considerations that affect the role of risk in data protection law and practice.

Need for study: There is an increasing consensus towards the role and significance of risk management in data protection in the insurance market. As a result, regulators and legislators are focussing on valuable and new attention on standardising and expanding data protection in risk management practices. This paper has attempted to identify critical issues and principles of risk management in data protection.

Methodology: Secondary data analysis was conducted in this study by reviewing literature related to data protection, risk management, and the insurance sector. Again, science direct was used as a source of information. For this study, the literature review approach was chosen since it allows us to trace the growth of the subject matter and identify the patterns that have formed through time.

Findings: The insurance industry comprises general insurance and life insurance. It is found that there are various studies conducted on the privacy violation and data breaches of individuals in the insurance industry. The study also identifies the factors causing privacy issues and recommends improving data privacy management in the insurance market.

Practical implications: The current study can be referred to by academicians, marketers, industry people, and policymakers. In addition, the study encourages companies and academicians to investigate further the process of data protection in the insurance industry.

The purpose of this paper is to investigate the determinants of financing the outward foreign direct investment (OFDI) by building a three-level framework residing on host country market imperfections, ownership advantages of parent firm investing abroad and the industry to which it belongs.

The paper used random effects probit model.

Parent debt financing of OFDI by Indian parent firms is driven by the credit market development of the host country, the uniqueness of the industry to which parent firm belongs and systematic risk. Debt-oriented firms are found to invest more via parent debt.

The limitations of this study are as follows: –first, time period before 2008 could not be considered due to unavailability of data in the public domain. Second, the characteristics of foreign affiliates that spread across diverse host countries have not been factored in. Third, in the case of parent’s industry-level determinants, financial sector has not been included because the financing and risk-taking strategy of this sector are quite different from other sectors. Finally, the present study assumes financing decision to be centralized in the multinational system at the parent firm.

The practical implications of this study are as follows: first, industry innovativeness must be taken as a guide by the Indian MNEs to finance their OFDI and they must provide equity. Second, the study suggests that Indian MNEs rely on their existing capital structure while financing their OFDI. Third, parent firms are found to follow the industry norms. Fourth, parent firms must finance their OFDI by considering the development of credit market in the host country. Fifth, host government must focus on improving the credit market development of their economy and not just reducing tax rates to attract FDI into their economy.

Empirically examining internal flows in a multinational system has limited the research in the area of financing the OFDI. The paper is one of the first attempts to formally develop a model of factors that shape financing of OFDI in case of one such emerging market – India.