Inhaltsangabe:Abstract: Part one of the thesis states the changes and developments that have markedly altered the banking world. This analysis is followed by a discussion about the consequences these transformations have on credit institutions in general. Special focus is devoted to the universal bank, the advantages and disadvantages of which are linked to the changes mentioned above. Part two begins with the introduction of a prominent member of the universal banking type: ING Group and its banking operations in the Netherlands, ING Bank, respectively. Both are shortly introduced and their performance measured with the help of "traditional" tools. To go deeper than the mere standard comparison of data given in annual reports, however, a new method will be introduced that approximates the relative efficiency and productivity of companies - in this case banks. This method is called "Data Envelopment Analysis" (DEA) and offers some advantages that complement "traditional" ways of assessing company performance. DEA is then run with the help of a special software programme, processing data about 65 credit institutions that are operating in the Dutch market. The focal point of interest in this analysis is on the performance of ING Bank as measured by DEA. This kind of "benchmarking" will be performed in two ways: first statically (comparison within a certain year), then dynamically (comparison over the years 1992 to 1995). Subsequently, the credit institutions will be summed up into categories like "best-practice" or "worst-practice" to conduct further analyses. The conclusions from this analysis is then taken as a basis to evaluate, whether ING Bank has been able to adopt to the growing demands of an ever faster changing banking environment. The concluding chapter relates mainly to an additional usage of DEA that is not related to benchmarking directly. DEA and the results it yields can be used to find out, which firms are especially successful in incorporating the all-important "soft factors" like firm culture, tradition, values, employee motivation, and the like. This application uses DEA as a kind of "navigator", that helps annalists to save time by pointing directly to potential owners of "soft factors". The appendix gives the sources of data used and the quality and reliability thereof. Furthermore, the credit institutions used in the analysis will be stated in name. A list of mathematical formulae that make up the DEA analysis and the logic [...]

This book presents hidden champions in Central and Eastern Europe (CEE) and Turkey that have been studied as a joint project between CEEMAN and IEDC-Bled School of Management, Slovenia. This is an outcome of extensive research undertaken by over 30 researchers and covers 15 countries from Russia to Albania; covering many contexts, political systems, cultures and infrastructures. The reader is provided with a detailed introduction to the concept of hidden champions and describes the cases studied in this project. This book is an invaluable resource providing a culmination of interdisciplinary, cross-study chapters ranging from leadership to performance drivers; from organization to culture and governance; from innovativeness to sustainability and further to the financial aspects of hidden champions business models. These meta level chapters are followed by 15 country-specific chapters which provide an overview of each country’s history, economic indicators and vignettes of the cases involved in this study. ​

Seventeen in a series of annual reports comparing business regulation in 190 economies, Doing Business 2020 measures aspects of regulation affecting 10 areas of everyday business activity.

Talent management is a way banks acquire competitive advantage. Practices such as personality profiling with effective knowledge-based productivity and the application of high-performance work systems help to set a company apart from its competition and maintain this competitive advantage. This book provides an in-depth look at the relationship between personality types and individual-level performance in knowledge-based environments, through cases in Australia’s banking and finance sector. This book also examines how high-performance workplace systems influence individual performance in relation to productivity through a multi-level analysis of micro- and meso-level factors. The findings in this book have relevant implications not only for the Australian system but also for other banking and financial service contexts outside of Australia.

As business cycles speed up, many customers gain significant competitive advantage from quicker and more accurate business decision-making by using real data. For many customers, choosing the path to co-locate their transactional and analytical workloads on System z® better leverages their existing investment in hardware, software, and skills. We created a project to address a number of best practice questions on how to manage these newer, analytical type workloads, especially when co-located with traditional transactional workloads. The goal of this IBM® Redbooks® publication is to provide technical guidance and performance trade-offs associated with resource management and potentially DB2® data-sharing in a variety of mixed transactional / data warehouse System z topologies. The term co-location used here and in the rest of the book is specifically defined as the practice of housing both transactional (OLTP) and data warehouse (analytical) workloads within the same System z configuration. We also assumed that key portions of the transactional and data warehouse databases would reside on DB2 for z/OS®. The databases may or may not reside in a DB2 data-sharing environment; we discuss those pros and cons in this book. The intended audience includes DB2 data warehouse architects and practitioners who are facing choices in resource management and system topologies in the data warehouse arena. This specifically includes Business Intelligence (BI) administrators, DB2 database administrators (DBAs) and z/OS performance administrators / systems programmers. In addition, decision makers and architects can utilize this book to assist in making platform and database topology decisions. The book is divided into four parts. Part I, "Introducing the co-location project" covers the System z value proposition and why one should consider System z as the central platform for their data warehousing / business analytics needs. Some topics are risk avoidance via data consolidation, continuous availability, simplified disaster recovery, IBM Smart Analytics Optimizer, reduced network bandwidth requirements, and the unique virtualization and resource management capabilities of System z LPAR, z/VM® and WLM. Part I also provides some of the common System z co-location topologies along with an explanation of the general pros and cons of each. This would be useful input for an architect to understand where a customer is today and where they might consider moving to. Part II, "Project environment" covers the environment, products, workloads, workload drivers, and data models implemented for this study. The environment consisted of a logically partitioned z10TM 32way, running z/VM, Linux®, and z/OS operating system instances. On those instances we ran products such as z/OS DB2 V9, IBM Cognos® Business Intelligence Version 8.4 for Linux on System z, InfoSphereTM Warehouse for System z, InfoSphere Change Data Capture, z/OS WebSphere® V7, Tivoli® Omegamon for DB2 Performance expert. Utilizing these products we created transactional (OLTP), data warehouse query, and data warehouse refresh workloads. All the workloads were based on an existing web-based transactional Bookstore workload, that's currently utilized for internal testing within the System p® and z labs. While some IBM Cognos BI and ISWz product usage and experiences information is covered in this book, we do not go into the depth typically found in IBM Redbooks publications, since there's another book focused specifically on that

There is growing international evidence that the effectiveness of health services stems primarily from the extent to which the incentives facing providers and consumers are aligned with "e;better health"e; objectives. Efficiency in health service provision requires that providers and consumers have incentives to use healthcare resources in ways that generate the maximum health gains. Equity in at least one sense requires that consumers requiring the same care are treated equally, irrespective of their ability to pay. Efficiency in the use of health services requires that consumers are knowledgeable about the services on offer and which are most appropriate to their needs. Although these principles are enshrined in the design of every health system in the world, they have proven extremely difficult to apply in practice. Healthcare providers have financial obligations to their families as well as professional obligations to their patients. Health service consumers generally lack information about both their health and health services so that they under-consume or over-consume healthcare. The papers in this volume are selected from an international conference organized by the CDRI, Cambodia, that tried to deal with some of these issues. With participation of international and local experts, it aimed at collecting major experiences and innovative solutions from inside and outside the country to improve health sector performance, with particular focus on institutions, motivations and incentives.