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This study developed a new analytical model to quantify the influence of business intelligence (BI) adoption on bank performance. An in-depth review of academic literature revealed a significant research gap exists in investigating BI's performance impacts, especially in the under-studied Indian banking context. Additionally, customer relationship management (CRM) was incorporated as a moderating variable given banks' large customer databases.

A survey was administered to 413 employees across leading Indian banks to collect empirical data for evaluating the conceptual model. Relationships between variables were analysed using partial least squares structural equation modelling (PLS-SEM). This technique is well-suited for theory building with smaller sample sizes and non-normal data.

Statistical analysis supported the hypothesised positive effect of BI adoption on bank performance dimensions including growth, internal processes, customer satisfaction, and finances. Furthermore, while CRM did not significantly moderate this relationship, its inclusion represents an incremental contribution to the limited academic literature on BI in Indian banking.

The model provides a quantitative basis for strategies leveraging BI's performance benefits across the variables studied. Moreover, the literature review revealed an important knowledge gap and established a testable framework advancing BI theory in the Indian banking context. Significant future research potential exists through model replication, expansion, and empirical verification.

This research thoroughly reviewed existing academic literature to develop a novel testable model absent in prior studies. It provides a robust conceptual foundation and rationale for ongoing scholarly investigation of BI's deployment and organisational impacts.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

In this chapter, the authors review the concept of sustainable entrepreneurship and how it has evolved with increasing concerns about the environmental and social impact of business firms. The authors offer a background to the emergence of sustainability issues in the field of entrepreneurship research, and review a number of influential approaches to entrepreneurship that in various combinations address the relationships between the economic, environmental, and social dimensions of business. The authors further suggest three levels at which entrepreneurs can understand and assess their approach to sustainable entrepreneurship, highlight how the issue of sustainable entrepreneurship applies equally to startups and already established corporations, and in the conclusions point toward the emergence of humane entrepreneurship as a critical posture for entrepreneurship in the 21st century.

The research aims to show the importance of considering the specific threats to economic security that arise in the context of digital transformation. The classification and understanding of these threats allow us to develop the most effective public policy tools to overcome them. The research is based on content analysis of information from government documents and internet resources. According to the authors, economic security in the digital environment is the state of the subject of economic activity (individual, society, or state), which ensures its normal functioning in the virtual world and maintains the security, stability, and predictability of the relations in which this subject participates in the digital environment. Moreover, there should be no factors of the digital environment that can cause harm in the virtual and real world, or these factors should not affect the subject. The government plays a central role in solving the problem of ensuring economic security in the digital age because it concentrates on the social will and aspirations and sets the vector for the development of society, including in the digital environment. Simultaneously, the form that evolutionary processes take in a particular society has its own national, regional, and historical specifics.

The research aims to assess the Russian automobile market before and after the imposition of sanctions, analyze the positions of Chinese automobile brands in the Russian market, and assess trends and prospects for the development of China's presence in this segment. The authors use the statistical method and the method of comparative analysis to determine the position of Chinese automakers in the Russian automotive market. The research determines that most Western and Japanese brands left the Russian market due to the strengthening of sanctions in 2022. Due to problems in the supply of components and spare parts, most of the Russian automotive market was filled with Chinese automobile companies planning to expand their presence. This research examines the trend of the presence of Chinese automobile brands in the automotive industry of Russia. Under sanctions, the economy of the Russian Federation is forced to look for other opportunities to develop technology and production. The relevance of this topic is due to the significant role of the automotive industry in the economy of any country, as well as the importance of this industry for the employment of the able-bodied population. To achieve this goal, the authors formulated the tasks to assess the automotive market before and after the imposition of sanctions, to analyze the Chinese automotive market, and to assess the prospects for its development in Russia.

Creating our built environment is largely the responsibility of the dynamic and complex construction industry. This business is made up of a wide range of people who work together to construct buildings and infrastructure projects, from contractors and labourers to architects and engineers. Aside from its observable results, the construction sector has a particular culture and atmosphere that are formed by a special fusion of history, creativity and teamwork. The culture and environment in which the construction industry functions are the main topics of this section of the book.

Stories are a part of being human. They are powerful tools to create social bonds, elicit emotions, and consolidate personal and shared memories. Their role, characteristics, and effects are studied in a variety of scientific fields. In tourism, they can enhance destination distinctiveness, as well as the tourist experience. However, the cognitive processes through which stories contribute to elicitation of emotions or memorability, the very reasons why they are considered important in tourism, are still little understood. This chapter discusses some of the cognitive processes involved in storytelling drawing insights from cognitive psychology and neuroscience, which may help in better understanding and managing the tourist experience.