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Handbook of Research on Driving Socioeconomic Development With Big Data

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

INTRODUCTION The German banking system traditionally consists of three pillars, private sector banks, public savings banks and cooperative banks. This structure makes the German banking system unique (Behr & Schmidt, 2015; Frank et al., ...

Big Data, Mining, and Analytics

Components of Strategic Decision Making

There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics Introduces text mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today's healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most exciting emerging technologies for big data--Hadoop is just the beginning Filled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods to supply you with the well-rounded understanding required to leve

This book ties together big data, data mining, and analytics to explain how readers can leverage them to transform their business strategy.

E-Banking an Initiative for Customer Relationship Management Vis a Vis SBI.

E-Banking as helped in establishing relations with customers and has provided convenience to the customers by reducing time in processing and transaction. In this Internet era when the active internet user have increased over 45.3 million and when we expect India to rise to third position in Internet usage by 2013, the need to incorporate CRM in operations and in business has increased. It has been estimated that there is about 60% cost saving in e-banking. In India, ICICI bank has started online banking in 1996. After it, City bank, IndusInd bank, HDFC bank introduced it. Very late it was introduced in nationalized banks like SBI, Bank of Baroda, Punjab National bank etc. Findings: It was found that people in the age group of 20-30 prefer e-banking. People above 40 years of age prefer branch banking as they find it easier and they have been banking this way for years. They need guidance for e-banking.While analyzing the benefits of modern banking system using CRM and traditional banking system we the researchers found that the e-CRM practices have in lot many ways simplified the life of the customers. The modern banking system has been found to be time savvy, cost effective and easy to access to the customers. However customers do have security issues in mind. Customers have rated SBI high on Trust and Service quality.

E-Banking as helped in establishing relations with customers and has provided convenience to the customers by reducing time in processing and transaction.

Can E-Banking Services Be Profitable?

Over the last few years European banks have spent billions of euros on new electronic channels. However, after some years of excitement it was clear that the banks' long-awaited sky-rocketing profits from this area would not be netted. Estonian banks have also invested in expanding and improving the IT systems and a number of new e-banking services have been developed. Until recently, most of the pricing decisions for e-bank services were made on the basis of a gut feeling as the current financial management information systems did not support such analysis. In this article the author explores the implementation techniques of Activity-Based Costing (ABC) in the banking sector on the example of an Estonian bank in order to analyze the cost structure for traditional and electronic channel transactions. The article shows how it is possible to implement ABC in banking and proves empirically that electronic channels help reduce the costs of both banks and their clients.

Over the last few years European banks have spent billions of euros on new electronic channels.

Measuring the Quality of E-Banking Portals - an Empirical Investigation

Purpose - In the internet economy, the business model of web portals has spread rapidly over the last few years. Despite this, there have been very few scholarly investigations into the services andcharacteristics that transform a web site into a portal as well as into the dimensions that determine the customer's evaluation of the portal's service quality.Design/methodology/approach - Based on an empirical study in the field of e-banking, the authors validate a measurement model for the construct of web portal quality based on the following dimensions: security and trust, basic services quality, cross-buying services quality, added value,transaction support and responsiveness.Findings - The identified dimensions can reasonably be classified into three service categories: core services, additional services, and problem-solving services.Originality/value - The knowledge of these dimensions as major determinants of consumer's quality perception in the internet provides banks a promising starting point for establishing an effective quality management for their e-businesses.

Purpose - In the internet economy, the business model of web portals has spread rapidly over the last few years.