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The purpose of this paper is to report and review the legislative and regulatory responses to the global financial crisis (GFC) from within the United Kingdom (UK).

The paper observes aspects of the effect of the GFC within the UK, using economic statistics and institutional case studies. It summarises the laws that the European Union (EU) and the UK have produced in the wake of the crisis and recommends approaches to be taken from this point.

The regulators are putting in place a comprehensive, integrated framework, much of which is sensible in its content. However, this structure will be insufficient to re-establish the effective operation of the financial sector, unless firms comply with the rules and a “relationship culture” is developed.

It is not yet clear how the Prudential Regulation Authority (PRA) and the Financial Conduct Authority (FCA) will perform and coordinate.

The paper presents a comprehensive review of relevant EU and UK legislation, thereby bringing readers up to date with the situation in the UK.

This study assesses the factors influencing customers’ intention to adopt e-banking in the context of the technology acceptance model and the moderation role of cybercrime.

The variables in the study are measured using a five-point Likert scale with measures adopted from existing literature. The independent variables are perceived ease of use, perceived usefulness and security and privacy. These are postulated to be moderated by the perceived risk of cybercrime and to influence e-banking adoption intentions. A quantitative approach is used. Primary data are collected from a sample of 209 randomly selected bank customers. The study uses a two-step (measurement model and structural model) approach to data analysis.

The key findings in this study are that perceived risk of cybercrime strengthens the positive relationship between perceived ease of use and e-banking adoption intentions but dampens or weakens the positive relationship between perceived usefulness and customers’ e-banking adoption intentions. The study makes several recommendations to inform scholarship, policy and practice.

Unlike existing literature, the study makes a unique contribution by including perceived risk of cybercrime as a moderating variable of theoretical significance in the relationship between adoption of e-banking and its determinants.

Purpose: This chapter discusses the role and use of chatbots adopted by the different categories of banks (private and public sector banks) in India. The chapter presents brief essential services offered by Indian chatbots regarding accuracy, technology providers and virtual assistance, ways to connect, etc. This chapter concluded that most of the questions answered by the Indian chatbots are already available on the banks’ websites, and there is a need for enhancement in the capabilities of Indian chatbots.

Need for the Study: The need for the study is based on the working of banking chatbots, customer query handling, and the efficiency of the chatbots in India. The chapter helps to analyze the services offered by various banks.

Methodology: This chapter is based on secondary data collected from banks’ websites and articles from various journals. The study is based on nine banks (both private and public sectors) those are having working chatbots (SBI, HDFC Bank, ICICI Bank, Yes Bank, IndusInd Bank, Kotak Mahindra Bank, Axis Bank, Andhra Bank, Bank of Baroda). The present study is focused on chatbots, their services, and software applications for various customer-handling capacities.

Findings: The research concluded that Indian banks are investing a small amount in using chatbots, yet Indian chatbots are deficient regarding far too provincial administrations as they are adequate just for standard and basic inquiries. Also, Indian customers are not properly aware of chatbots and virtual assistance.

Practical Implications: This study provides an overview of the working chatbots in India (for both public and private sector banks) and their functions, as well as the capacities of these chatbots. The previous conducted studies are based on the uses, importance, and working of chatbots/artificial intelligence (AI) in banking. In this study, after discussing the different services, it is found that Indian banks need to update their AI/Virtual assistance with more features.

The purpose of this chapter is to evaluate the completeness and substantiation of the indicators of implementation of measures on information society’s formation in the conditions of information war and economic sanctions from foreign countries, and to assess the dynamics of indicators and their achievability according to the plans of state development.

The adequately selected list of target indicators will determine the future national policy regarding the process of informatization in all spheres of national economy. Moreover, the indicators set at the stage of planning of national events will signal the correspondence of the obtained result to the planned result.

The research applies the methods of graphic presentation of information, trend analysis, method of comparison, analogy, and systematization.

According to the peculiarities of the information economy’s optimization model, the main indicators of implementing of measures for the formation of information society are: index of development of information technologies; share of citizens who received state and municipal services online; share of the population that do not use the internet; level of differentiation of the subjects of the RF regarding integral indicators; share of households with access to the internet; number of highly efficient jobs according to the type of economic activities “communication.” Evaluation of implementation of these indicators and their completeness proved the necessity for reconsidering the transfer of the implemented measures and reducing the number of ineffective ones.

The viewed target indicators and evaluation of achievement of these indicators of efficiency of state management of the process of implementing the model could be the basis for future correction of the process of implementation of this program. The used method of analysis could be recommended as the methodological provision of monitoring and control over the implementation of information economy’s optimization model.

The purpose of this chapter is to study perspectives of formation of the optimization model of a well-balanced information economy in modern Russia.

The research methodology includes the complex SWOT analysis of the environment, wherein the optimization model of a well-balanced information economy in modern Russia is implemented; this analysis allows determining threats and possibilities for its formation. Also, the method of formalization is used that allows tablulation of results.

The authors show a number of prerquisites for the formation of a well-balanced information economy in Russia, as well as multiple internal barriers on the path of its development. One of the barriers is deficit of resources. Also, there exist large perspectives of formation of the optimization model of a well-balanced information economy. These perspectives include improvement of legal conditions of financing of development of digital economy, intensive development of the ICT spheres and online business, growth of innovational activity and efficiency in the information sphere, and creation and stimulation of implementing the possibilities for feedback in the course of information economy’s formation. Based on the analyzed tendencies, it is concluded that these perspectives will allow overcoming the major barriers on the path of implementation of the strategy of building the optimization model of a well-balanced information economy in modern Russia, related to deficit of resources, structural imbalance of the noosphere, low efficiency of information, and linear direction of the process of management of information economy.

The authors determine that successful practical implementation of this strategy is largely predetermined by the capability of state regulators for a highly effective management of internal and external factors. It is recommended to pay attention to the management of these factors in the process of practical implementation of the strategy of forming the optimization model of a well-balanced information economy in modern Russia.

The purpose of this chapter is to develop a framework strategy for implementing the optimization model of information economy in modern Russia, aimed at its adaptation to the peculiarities of the Russian economic practice.

The methods of induction, deduction, synthesis, and systemic analysis are used, as along with goal-oriented approaches, such as the method of modeling of socio-economic systems, and the method of formalization.

The authors develop the framework strategy of implementing the optimization model of information economy in modern Russia that takes into account specifics of socio-economic development and informatization of the Russian economic system at the modern stage. This strategy differs from the strategy of formation of an information economy implemented in modern Russia. The most important difference is a wide and comprehensive balance, while the Russian economy is tolerant toward imbalance. The offered strategy allows refusing from copying economic practice implemented by other countries and determining own path of formation and development of information economy. This envisages the Russian treatment of the principles of implementing the innovational model of a well-balanced information economy. This treatment is based on the current possibilities of the Russian economy and on the set goal within the formation of an information economy. Due to this, the possibilities and needs of strategic development of information economy in modern Russia are balanced.

The developed framework strategy of implementing the optimization model of information economy in modern Russia is recommended for usage in the domestic economic practice.

The purpose of this chapter is to compile the expected scenarios of development of digital economy in modern Russia and determine the essence and peculiarities of the optimal scenario implementation.

The research is based on the Theory of Games, which is used for comparison of expected scenarios of development of digital economy in modern Russia. A criterion of optimality of the scenario of development of digital economy in modern Russia in this work is effectiveness of its implementation, determined by comparing the results and expenditures in view of probability of each possible sub-scenario.

The performed scenario analysis of development of digital economy in modern Russia showed that the most effective and, therefore, optimal scenario is the one that envisages implementation of the offered new model of a well-balanced digital economy. Despite the fact that probability was determined only for sub-scenarios, within each distinguished scenario, (for determining confidence intervals of the values of indicators) which were not compared with the level of their probability, the given optimal scenario envisages the largest changes compared to the current set course of the formation of digital economy in Russia and hence is the least probable.

The established optimal expected scenario of development of digital economy, which envisages application of its new well-balanced model, is recommended for practical implementation in modern Russia. The given quantitative characteristics of the optimal scenario of development of digital economy in modern Russia could and should be recommended for usage as the basis for developing practical recommendations for monitoring and control of implementation of the optimization model of digital economy in modern Russia.

Introduction: The internet of things (IoT) is the emerging technology of interconnected objects that can be termed as ‘things’ used to exchange data, connecting with different devices on the internet. It is the future where connected devices are controlled remotely. The insurance sector is one of the leading industries providing financial protection services to their customers to recover losses. Like others, the insurance industry uses the services very efficiently to solve their customer-centric problems and provide the best services to them. IoT in insurance is enhancing customer services.

Purpose: To determine how the insurance industry utilises the different IoT technologies to provide the best services and solutions to their users. The insurance sector is working on other areas of expertise to offer outstanding facilities to their clientele.

Methodology: We reviewed published material covering five years on IoT and insurance and customer services in the media, newspapers, journal publications, and the web. We determined how the insurance sector adapted the new terminology to contribute its best services to the users.

Findings: We observed that IoT services and technologies benefit the insurance industry and the clientele. This shows excellent results in the growth of the sector and heightened facilities for the consumers.

Purpose: The global financial services business has been transformed by Blockchain technology, making it safer and more efficient. Keeping this fact in mind, the authors will study how Blockchain technology improves financial services, including the banking and insurance sectors. The risks and roadblocks in the path of Blockchain adoption in financial services will also be discussed.

Need of the Study: Blockchain operates without any central authority. Instead, it could be understood as a transaction-containing ledger shared among many users. The adoption of Blockchain is gaining traction in every field, but still, a sense of doubt about its reliability can be observed among ordinary people. Thus, an investigation of the operational intricacies and technicalities could assist in clarifying the confusion associated with this technology.

Methodology: To achieve the aims mentioned above, an exploratory research design involving a review of the secondary data linked with the implementation and impact of Blockchain technology in the domain of finance is conducted.

Findings: The mode of operation of Blockchain technology is thoroughly explained, along with the influence it has exercised in the financial domain in recent years.

Practical Implications: The findings of this study can mainly assist global investors and users worldwide by clarifying the concept and operations of Blockchain technology. Also, it could guide future studies assessing the role of Blockchain in the financial domain.

The purpose of this chapter is to study the correlation of evolutional and revolutionary transformations in a socio-economic system in the conditions of the formation of an information economy by taking the example of modern Russia.

To distinguish these transformations by studying the information economy, based on the materials of reports and recommendations of the OECD and the World Bank, the indicators that show macro-economic transformations in a socio-economic system in the conditions of formation of an information economy and their control values that correspond to evolutional and revolutionary changes were determined. During the research, the authors used the method of comparative analysis for comparing the values of the indicators in modern Russia with the control values of the indicators that show macro-economic transformations in the socio-economic system in the conditions of the formation of an information economy and classify the corresponding transformations as evolutional and revolutionary. The information and analytical basis includes the materials of the reports of the Higher School of Economics, the OECD, the World Bank, the International Telecommunication Union, the World Wide Web Foundation, the Digital single market, the INSEAD, the WIPO, and the Cornell University.

As a result, it is concluded that the planned transformations in a socio-economic system in the conditions of formation of information economy by implementating the optimization model of this process have an evolutional characteristic. Herein, certain transformations have a revolutionary nature.

The authors determine that the largest revolutionary transformations are due for 2022–2025. However, their classification is caused not by high rate of growth of the indicators’ values but by their achievement of control values. Therefore, the largest socio-economic shifts in the economic system in the modern Russia due to the formation of an information economy will take place in 2019–2022. Hence, in this period, an anti-crisis management of this process should be conducted.