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Hometown Investment Trust Funds

A Stable Way to Supply Risk Capital

This book records the first success stories of a new form of financial intermediation, the hometown investment fund, that has become a national strategy in Japan, partly to meet the need to finance small and medium-sized enterprises (SMEs) after the devastating earthquake and tsunami in March 2011. The hometown investment fund has three main advantages. First, it contributes to financial market stability by lowering information asymmetry. Individual households and firms have direct access to information about the borrowing firms, mainly SMEs, that they lend to. Second, it is a stable source of risk capital. The fund is project driven. Firms and households decide to invest by getting to know the borrowers and their projects. In this way the fund distributes risk but not so that it renders risk intractable, which was the problem with the “originate and distribute” model. Third, it contributes to economic recovery by connecting firms and households with SMEs that are worthy of their support. It also creates employment opportunities, at the SMEs as well as for the pool of retirees from financial institutions who can help assess the projects. Introduction of the hometown investment fund has huge global implications. The world is seeking a method of financial intermediation that minimizes information asymmetry, distributes risk without making it opaque, and contributes to economic recovery. Funds similar to Japan’s hometown investment fund can succeed in all three ways. After all, the majority of the world’s businesses are SMEs. The first chapter explains the theory behind this method, and the following chapters relate success stories from Japan and other parts of Asia. This book should encourage policymakers, economists, lenders, and borrowers, especially in developing countries, to adopt this new form of financial intermediation, thus contributing to global economic stability.

This book records the first success stories of a new form of financial intermediation, the hometown investment fund, that has become a national strategy in Japan, partly to meet the need to finance small and medium-sized enterprises (SMEs) ...

Total Quality Management (TQM)

Principles, Methods, and Applications

Organisations are now focused on total customer satisfaction. However there is a lack of understanding the requirements and the customer needs. Total Quality Management (TQM) integrates all phases and ensures a defect free quality product. This textbook provides the understanding of all aspects of TQM and the implementation. This textbook covers all aspects of TQM, discusses quality systems in detail, highlights the importance of the needs of the customer, and presents the concept of Total Productive Maintenance (TPM). Written as a textbook for students of engineering and management, but also explains all quality systems which will be helpful to all organisations in choosing the correct quality system and helpful to managers in decision making while analyzing any process. A solutions manual and power point presentations slides are available for qualified adoptions.

Organisations are now focused on total customer satisfaction. However there is a lack of understanding the requirements and the customer needs. Total Quality Management (TQM) integrates all phases and ensures a defect free quality product.

Security, Privacy, and Forensics Issues in Big Data

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Different big data technologies are introduced in many areas of banking right from mobile banking, revealing the signs of fraudulent happenings in internet banking, to the management of cash. These technologies contribute to a higher ...

Big Data Analytics

5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings

This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.

This aspect involves core banking, internet and mobile banking, e-wallets, m-wallets, Omni-channel data warehouse, Data Lake and service oriented architecture. Data. The data dimension deals with the quality of the data that is present ...

Advances in Big Data Analytics

Theory, Algorithms and Practices

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence. /divSince each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.

Portfolio models were derived from measurement of risk in portfolio of security, and extend to the measurement of systemic risk for a portfolio of banks [7]. The portfolio models follow two routines to measure a bank's systemic ...

Tantangan Koperasi di Era Modern

Koperasi di Indonesia sudah berumur 70 tahun. Peringatannya dilaksanakan besar-besaran dan meriah di Kota Makassar pada 12 Juli lalu. Presiden Joko Widodo hadir sebagai bentuk dukungan kepada koperasi di Indonesia.

Koperasi di Indonesia sudah berumur 70 tahun. Peringatannya dilaksanakan besar-besaran dan meriah di Kota Makassar pada 12 Juli lalu. Presiden Joko Widodo hadir sebagai bentuk dukungan kepada koperasi di Indonesia.

Total Quality Management (TQM)

Principles, Methods, and Applications

"This textbook provides the understanding of all aspects of TQM and the implementation. This textbook covers all aspects of TQM, discusses quality systems in detail, highlights the importance of the needs of the customer, and presents the concept of Total Productive Maintenance (TPM)"--

"This textbook provides the understanding of all aspects of TQM and the implementation.