The Transformative Impact of Asynchronous Cloud Computing on Financial Services: A Technical Analysis

The crux of this conceptual study throws a lime light on repercussion of Financial Technology (FinTech) on the agility of India’s financial services Industry. This study also provides a snapshot of how financial and payment services provided with the support of financial technologies and tools by financial services firms in India. This conceptual study clearly highlights potential growth of India’s FinTech industry in the light of digital India. As FinTech continues to evolve, we can expect these technologies to further shape the means the banking and financial services and products are delivered, with even more innovative solutions on the horizon. The agility of the FinTech industry comes from a combination of strategic and technological factors. The key strategic factors that enhance the agility of FinTech firms are cross-functional teams, smaller workforce, flat organizational structure, agile leadership, workforce diversity, collaborative mindsets, customer-orientation mindsets, etc. The key technologies in the FinTech industry that are driving a paradigm shift in customer experiences are emerging technologies such as Machine Learning (ML), Artificial Intelligence (AI), Blockchain, Cryptocurrencies, Robotic Process Automation, Open Banking and APIs, Biometric Authentication, Cloud Computing, etc. The rapid adoption of evolving technologies in FinTech sectors have significantly transformed the way the financial and banking services are experienced by the customers and effectively delivered by the FinTech firms. These technologies collectively improve customer experiences by ensuring the accessibility, security and personalization of financial services, which in turn fosters greater customer loyalty and satisfaction.

This book is intended to lay out, in a clear and intuitive as well as comprehensive way, what we know - or think we know - about mergers and acquisitions in the financial services sector. It evaluates their underlying drivers, factual evidence as to whether or not the basic economic concepts and strategic precepts are correct. It looks closely at the managerial dimensions in terms of the efficacy of merger implementation, notably the merger integration process. The focus is on enhancing shareholder value creation and the execution of strategies for the successful management of mergers. It also has a strong public-policy component in this "special" industry where successes can pay dividends and failures can cause serious problems that reach well beyond the financial services industry itself. The financial services sector is about halfway through one of the most dramatic periods of restructuring ever undergone by a major global industry. The impact of the restructuring has carried well beyond shareholders of the firms and involved into the domain of regulation and public policy as well as global competitive performance and economic growth. Financial services are a center of gravity of economic restructuring activity. M A transactions in the financial sector comprise a surprisingly large share of the value of merger activity worldwide -- including only deals valued in excess of $100 million, during the period 1985-2000 there were approximately 233,700 M A transactions worldwide in all industries, for a total volume of $15.8 trillion. Of this total, there were 166,200 mergers in the financial services industry (49.7%), valued at $8.5 trillion (54%). In all of restructuring frenzy, the financial sector has probably had far more than its share of strategic transactions that have failed or performed far below potential because of mistakes in basic strategy or mistakes in post-merger integration. It has also had its share of rousing successes. This book considers the key managerial issues, focusing on M A transactions as a key tool of business strategy - "doing the right thing" to augment shareholder value. But in addition, the degree of integration required and the historic development of integration capabilities on the part of the acquiring firm, disruptions in human resources and firm leadership, cultural issues, timeliness of decision-making and interface management have co-equal importance - "doing it right."

Financial services industry has always been a data-intensive industry, generating large quantities of customer data from millions of transactions conducted every day. Vast explosion of data and the surge in technological complexities is transforming the way the financial sector operates, and thus, Big Data management of various financial products and services is emerging as a potential field of study. The application of Big Data in financial services has abundant advantages for the financial institutions: improved customer engagement, better fraud detection, and enhanced market trading analysis. This chapter presents applications of Big Data stimulating various financial sectors and highlights its influence on financial markets, financial institutions, fraud detection, risk analysis, etc. The association between Big Data and finance-related mechanisms is analyzed through an exploratory literature assessment. This chapter also describes real world, contemporary case studies on the applications of Big Data in the financial world. The findings demonstrate that there are many technological research challenges at all levels of Big Data chain that need to be developed to provide more competitive and effective solutions. Since Big Data is a relatively new concept in the field of finance, this study also provides directions for future research.

The financial services industry has recently undergone a significant transformation due to advancements in digital technology. The easing of traditional barriers of entry associated with regulation, high capital, and information asymmetries has enabled non-financial technology companies, as well as new regulations, data sources, and data technology tools, to challenge the traditional oligopolistic structure of the industry. Traditionally dependent on human decision-making, financial services are now under pressure to maximize efficiency, lower costs, reduce risk, and improve customer experience, as in any other industry. In this process, artificial intelligence technologies have become increasingly important. Financial institutions now use AI to boost sales in some areas, directly or indirectly enhance customer experience, automate back office operations, and improve analyses for risk management, especially credit risk. Non-financial companies use machine learning for fraud detection and use risks, employ partner firms to provide additional financial services, and then use AI to enhance marketing (Galindo & Tamayo, 2000; Khandani et al., 2010; Lessmann et al., 2015).

The Fatal Flaw of Proposals to Federalize Insurance

With the increasing aging population, it has had a profound impact on the financial services industry and economy. This study aims to explore the effect of population aging on the financial service industry and economy and propose corresponding countermeasures and suggestions. The aging population has brought challenges to the financial services industry. The increase in the elderly population has led to a rise in demand for financial products and services. Financial institutions innovate and develop financial products and services that meet the needs of older people. At the same time, the financial literacy of older people is relatively low, and financial institutions need to strengthen financial education and improve their financial knowledge level. Secondly, the aging population has had multiple economic impacts, with decreased labor supply and increased elderly care expenses putting pressure on economic growth. Financial institutions must pay attention to this trend, adjust loan policies, and support the development of emerging industries to promote sustainable economic growth. In addition, the change in the consumption needs of older adults has also brought new opportunities to the economy. Financial institutions can meet the consumption needs of older people and promote economic development through innovative products and services.

FinTech Challengers and Incumbents’ Responses: A Window into Innovation Management Strategy Modes within Australia’s Financial Services Sector

This empirical study delves into the impact of knowledge management initiatives (Knowledge-Oriented Leadership, Knowledge Process Capabilities, and Knowledge Management Behavior) on knowledge-worker productivity, aiming to uncover valuable insights for organizations seeking competitive advantages in a rapidly evolving landscape. While the importance of knowledge management in organizational success is widely recognized, the specific relationship between these initiatives and knowledge-worker productivity remains a topic of exploration. This research is particularly urgent given the increasingly intricate nature of knowledge management and its indispensable role in organizational advantages. Focusing on knowledge-workers within the financial services industry, this study investigates the interplay between knowledge management initiatives and knowledge-worker productivity, considering the moderating influence of affective commitment. By blending both inductive and deductive methodologies, a pragmatic philosophical stance was adopted, and the mixed-methods approach was employed in the endeavor to comprehensively identify, explore, and test effective knowledge management initiatives and their impact on knowledge-worker productivity. Employing an exploratory sequential mixed-methods research design, data collection unfolded in two distinct phases. First, qualitative insights were gathered through ten semi-structured interviews with employees from the global Credit Specialties department of a multinational enterprise: quota sampling was deployed. Second, quantitative data was collected through an emailed questionnaire survey, yielding 294 valid responses providing a response rate of 32.81%. This multi-phased approach facilitated the testing of a robust framework encompassing knowledge-oriented leadership, knowledge process capabilities, knowledge management behavior, affective commitment, and knowledge-worker productivity. The findings of this study, analyzed through SmartPLS 3, reveal significant connections among the studied variables. Notably, it underscores the pivotal role of the relationships between knowledge-oriented leadership and knowledge process capabilities, knowledge process capabilities on knowledge management behavior, knowledge management behavior on knowledge-worker productivity and knowledge-oriented leadership on knowledge-worker productivity directly. This research contributes novel insights into the nuanced dynamics of knowledge management within organizations, providing actionable recommendations for enhancing knowledge-worker productivity and competitiveness in the financial services sector. Further, this is one of the preliminary studies to empirically examine the association of knowledge-oriented leadership, knowledge process capabilities, knowledge management behavior and affective commitment on knowledge-worker productivity under the knowledge-based dynamic capabilities lens carried out in the financial sector on a global scale using a mix methods approach. The findings revealed a positive link between knowledge-oriented leadership and knowledge process capabilities; knowledge process capabilities and knowledge management behavior; knowledge management behavior and knowledge-worker productivity; knowledge-oriented leadership and knowledge-worker productivity.

The emergence of cloud computing and its increasing popularity have brought great benefits to our life of information. The cloud computing can provide innovative solutions for the companies to reduce cost, improve service performance and make rapid response to the business changes. With the advances of underlying technologies for cloud computing, it is increasingly gaining applications in the financial service industry. In this paper, we first introduce the definition of cloud computing, then compare BPM use cases in financial service industry with three service models of cloud computing. Finally, this paper analyzes the main challenges and risks that exist in the application, and give the solutions as well.

In the recent past, especially over the last decade, the financial services industry has been revolutionary, mainly caused by Fintech. This paper discusses the importance of automating and implementing Fintech systems of RPA, BPM, CRM, and ERP in achieving optimization and improved internal and external regulatory, customer satisfaction, and achievements in financial services. These technologies aim to automate repetitive activities and combine diverse financial processes, which provide operational advantages, including cost minimization, accurate decision-making, and customer satisfaction. However, Fintech systems integration has some challenges, such as implementation complexity, data security issues, capital intensity, and change management challenges. The growing integration trends of BI and Analytics are equally discussed in this paper alongside the best practices that, when implemented, would facilitate the successful integration of BI and Analytics, including strategic planning, compliance with relevant regulations, data security, and employee training. Moreover, it explores new paradigms such as AI, blockchain, and cloud computing and new technological advancements that will potentially transform the financial sector. Globalization and crossing borders are discussed, as well as how Fintechs interact across borders, both the pros and cons of this, and how to adhere to the many forms of regulation globally. Based on the analysis provided in this paper, the argument can be made that financial institutions that effectively incorporate Fintech systems will be in a favorable position to achieve a sustainable competitive advantage across the globally integrated economy’s multiple fronts and meet emergent client needs in the digital age.

Past research on the financial sector, which includes the whole financial services industry and is connected to economic growth, has remained scarce. The three main Islamic financial industry sectors in Indonesia—Islamic Capital Market, Islamic Banking, and Islamic Non-Bank Financial Industry—and their contributions to economic growth between 2014Q1 and 2021Q3 were empirically studied in the current study. The ARDL Bound-test for Cointegration and Error Correction Model was applied to the quarterly data (ECM). Three of the four research variables—sharia stocks, Sukuk, and sharia insurance—were found to have a considerable impact on GDP, whereas Islamic banking had no such impact. Islamic banks in Indonesia must therefore maximize funding for the productive sector. Future policies ought to take into account maximizing the contribution of the Islamic financial sector to economic growth.

Background: A review of the literature revealed that the demanding and often challenging nature of work increases the turnover intention of employees. This trend is especially evident within the South African financial services industry.Aim: The research goal was to explore and empirically test a theoretical model identifying the most salient causes of turnover intention among sales employees employed by financial organisations operating in the South African financial service industry.Setting: The study was conducted on employees operating within the financial service industry in South Africa.Methods: The current study collected quantitative data from 102 employees of insurance or banking or investment companies, using a web-based compilation of standardised questionnaires. This followed a previous study by the research group that collected quantitative and qualitative data from 122 employees operating in an insurance environment, using a combination of an open-ended questionnaire and standardised instruments.Results: The results of the current study confirmed the significance of the paths between turnover intention and employee engagement, time wasted on non-core activities, perceived career development opportunities, and perceived supervisor support, mediated by perceived employee engagement.Conclusion: A replication of this study using a longitudinal research design is recommended in order to overcome the methodological limitations of the current study. The conceptual model developed in this study identified relationships that could be used as guidelines to effectively manage the retention of personal financial advisors in the financial service industry in South Africa

Background: The financial services industry in South Africa has undergone many changes that have given birth to fintechs. Most of these changes are driven by the advent of technology and evolving customer expectations. Fintechs have led to process disruptions and business model transformations, yet their implications have yet to be sufficiently studied. Therefore, it is essential to close this knowledge gap by investigating the impact of fintechs on this industry.Objectives: This research aimed to investigate the impact of fintechs in the financial services industry in South Africa.Method: A qualitative study was conducted in which 18 industry experts were interviewed using semi-structured interviews. The interviews were audio-recorded and transcribed for data analysis. ATLAS.ti 22 was used to organise and analyse data.Results: Fintechs increase competition for the incumbents, reduce profits, expose the inability of the incumbents to be agile and introduce new regulatory risks in the financial services industry. In contrast, fintechs have also brought some positive changes into the industry: financial inclusion, new growth opportunities, increasing choices for consumers and making the industry more competitive, reducing costs, customising financial services, bringing convenience and forcing incumbents and regulators to become more innovative.Conclusion: This study uncovered the positive and negative effects of fintechs in financial services in South Africa.Contribution: The study will benefit academia by expanding the body of knowledge about fintech research and improving the holistic understanding of this field in emerging economies, which can inspire future research on fintech and its application.

This book examines the world of finance and the role of gender within it. It looks at the financial services industry, arguably the most powerful and remunerative sector that exists, and shows how it was created by men for men. The author explains how historically women were excluded, how minimal progress has been made, and outlines how the sector still needs to change  to function effectively in a modern, equal opportunities world. Addressing gender inequality in financial services is of utmost urgency and importance because of the extent to which it affects women in all stages of life. Women’s exclusion in financial services is also mirrored by how men have been excluded from parenting through a similar set of societal expectations, government legislation and corporate policies. The author maintains that to succeed, we need to address both financial services and parenting. To do so we need regulatory support. Because of its power and dominance, the financial services industry has the opportunity to lead this change and to champion gender equal practices. These practices are economically beneficial to all participants, not only female employees and consumers. We all need these benefits as we rebuild our economies following the COVID-19 pandemic. The book makes an important contribution to the critical and increasing awareness of gender concerns. It presents insights drawn from original research and data about gender biases. The book is an essential secondary text for a range of university courses, including economics, finance and accounting, business studies and gender related courses, as well as MBAs and Executive Education programmes that focus on gender in business. It is also a must read for policy makers, managers in financial services institutions and any other businesses that seek to attract the growing market of female consumers, employees and business leaders.

Financial services industry is rapidly changing due to technological developments, increasing customer expectations and the shocks such as the pandemic. Digital platforms, cryptocurrencies and decentralisation of financial systems have become conspicuous features. The financial services landscape is rapidly evolving in response to changing customer expectations, technological developments and the shock of worldwide events like the Covid-19 pandemic. Blockchains and cryptocurrencies are being used to pay for financial transactions without paper money or credit cards, and some central banks are starting to offer or are at least thinking about using national digital currencies. The Target Group, a business services provider in financial services, believes that technological changes will enhance customer experience in two main ways. First, virtual platforms will become a more important medium for consumers to access financial products and services. Secondly, it is believed that the platforms will not only serve as a one-stop shop but also offer people personal solutions.