With the rapid development of technologies, it becomes increasingly important for us to remain up-to-date on new and emerging technologies. This series, therefore, aims to deliver content on current and future technologies and how the young generation benefits from this.
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Research background The rapid expansion in recent fintech innovations has garnered researchers' attention to evaluate its influence on the banking industry.
Purpose In this quest, the current study conducts an interaction analysis to measure the impact of the fintech era on Indian banking stability.
Research methodology S imilarly t o p revious s tudies, w e u se a regression analysis and a Pearson correlation on the transition period of the fintech era to measure the impact of explanatory variables on the outcome variables of the Indian banking industry. Furthermore, as a robustness test, we have also used the Generalised Method of Moments system approach. This enabled us to make comparisons with similar studies.
Results Using annual data from 1995 to 2021, the study reveals that, compared to the first fintech era, the second era assisted in reducing NPLs and enhancing financial stability in India. The study concludes that during the second wave of the fintech revolution, through interaction analysis, explanatory variables positively influence banking stability and NPLs.
Novelty The current study contributes toward understanding the significance of fintech development from the context of an emerging country. It also helps to interpret the importance of disruptive forces of fintech development in the banking industry.
"Emerging educational technologies and innovative practices are and can be used to address core global educational challenges, spanning from rethinking and transforming learning environments across educational contexts to effectively cultivating students' competencies for the innovative digital society of the future. This new volume showcases how digital analytics (DA) is one of these emerging new trends that uses new technologies to measure, collect, analyze, and report on data about learners and their contexts and to understand and optimize learning and learning environments. The book looks at digital technologies as a means to foster sustainable educational innovations for improving the teaching, learning, and assessment from K-12 to higher education. Such technological tools for quantitative and qualitative data analysis and data mining techniques as artificial intelligence, deep learning, cloud computing, big data, machine learning are discussed in the context of educational digital analytics. This book traces the links to descriptive, predictive, and prescriptive analytics to assess, evaluate, record, predict, and prescribe issues related to student progress, participation, performance, personalization, and empowerment in academic and curricular activities. Taking into serious consideration the United Nations' Sustainable Development Goal 4, which aims to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all," the chapter authors explore a plethora of important themes, such as the benefits of digitization of education the role of digitalization in education and training in inclusive learning edtech digital platforms to support digitalization in education assessing student engagement, students' learning abilities and challenges, and student performance educational institutions' evaluation of employee job satisfaction levels the role of social media in the digitization of education, as well as a disruptor e-mentorship in education employing digital education for citizenship education and much more. Taking a holistic approach in the teaching and implementation of data tools from both micro and macro perspectives, Digital Analytics Applications for Sustainable Training and Education will be valuable to academic researchers, faculty and advanced students, educational administrators and policymakers, and others involved in the important field of education."--
Specialists from different disciplines and continents to provide answers discuss organizational justice, sustainable HR, machine learning, and more, providing future roadmaps to minimise disruption during occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.
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"The rapid progression of the digital age has brought both benefits and drawbacks. While the convenience of constant connectivity and digital devices is undeniable, the increasing screen time poses health and well-being challenges. With a significant portion of the global population now regularly using the internet, concerns about issues like digital addiction, shorter attention spans, and lifestyle diseases have become urgent matters. Addressing these challenges and charting a sustainable path forward is imperative.Business Drivers in Promoting Digital Detoxification delves into contemporary initiatives across various industries that advocate for digital detox. This book showcases opportunities within this transformative trend, spanning from health and tourism to unexpected sectors. It not only highlights the necessity of digital detox for health but also reveals its potential as a gateway to innovative business ventures. Catering to academics, researchers, students, and professionals, this book serves as a guiding beacon in the complexities of the digital era. It not only clarifies the motivations behind the digital detox movement but also explores its implications. More than just insights, this book offers a roadmap to shape a healthier and sustainable future in our digitally connected world. Engage in this pivotal conversation, explore its pages, and gain the knowledge to drive meaningful change for yourself, your organization, and society as a whole."--
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Company executives need strategic flexibility in VUCA to maintain an advantage alongside business analytics, helping them achieve a competitive edge by providing timely insights, optimizing business processes, and generating growth and innovation opportunities. Strategic questions arise as firms begin their business analytics programmes, and VUCA and Other Analytics in Business Resilience brings together specialists from different disciplines and continents to provide answers. The chapters discuss organizational justice, sustainable HR, machine learning, and more, providing future roadmaps to minimise disruption during occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers. Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.
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Countries such as India, Pakistan, Bangladesh, and Sri Lanka have economies that are categorised as capital deficit, whereas economies with abundant capital - such as those in Western Europe and North America - have lost little value in comparison during the global pandemic and other economic periods of this downturn. It is therefore a question of resilience that separates these developing economies. The Framework for Resilient Industry examines the historical background of the Indian industry, its current status, and future opportunities and challenges. The chapters frame the historical context of the Indian industry and delves into region-specific issues such as micro, small, and medium enterprises (MSMEs), economic policy, risk management and sustainable industries. The findings are valuable to policymakers, industrialists, and governments, both state and central, through efficient analysis. Academics, researchers, and students will also benefit from this discourse on economic resiliency. Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.
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Company executives need strategic flexibility in VUCA to maintain an advantage alongside business analytics, helping them achieve a competitive edge by providing timely insights, optimizing business processes, and generating growth and innovation opportunities. Strategic questions arise as firms begin their business analytics programmes, and VUCA and Other Analytics in Business Resilience brings together specialists from different disciplines and continents to provide answers. The chapters discuss descriptive/diagnostic, predictive, and prescriptive analytics tools and how they might be used to investigate 'black swan' occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers. Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.
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Due to the rise in the demand for information communication technologies (ICT), the need for operational risk resilience within the European insurance market sector has grown exponentially. This study aims to use the case of blockchain to evaluate whether the five characteristics determined from the literature to be required for effective digital risk resilience (specifically, integration, flexibility, reliability, relevance, and timeliness) have an impact on effectiveness in addressing the requirements of the European Union's proposed Digital Operational Resilience Act (DORA). To achieve this, we developed a survey with 29 statements, which participants were required to answer using a five-point Likert scale. In total, 513 valid responses were received from participants. These were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). Results show that in the case of blockchain, reliability, flexibility, and relevance were found to significantly relate to its effectiveness in addressing DORA's requirements, but relationships of effectiveness with integration and timeliness were found to be insignificant. However, when the experience variable was added to the model as the moderator variable, we found that timeliness and relevance have a significant relationship with blockchain effectiveness, while integration, reliability, and flexibility do not.
The digital revolution and automation are accelerating changes in the labour market and in workplace skills. Affected by changes in international economics and opportunities for employment, in the workplace individuals seek to acquire relevant skills and retain transferable skills to be employable and to remain in employment. Contemporary Challenges in Social Science and Management Part A and B explore in detail the theoretical competency framework to address these gaps and shortages in different disciplines and sectors. The global drivers of change are analysed and the opportunities and challenges for skills development are investigated, include the transition from education to employment in knowledge-based sectors in different countries. Enriched and strengthened with European case studies of real-life situations providing a practical and industry insights, the volumes collate experts in Economics, Finance, Public Policy, Human Resources, and Risk management, contributing on employability, labour markets, sustainability, and skills of the future from across the globe. Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance. Both disciplinary and interdisciplinary studies are welcome.
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Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company's financial data, and helps it gain knowledge to take action to improve financial performance.
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