Increasingly India, with its expertise in communication technology, is becoming the "global back office" to international supply chains. Many international companies (and examples are legion, but a few examples are IBM, Sony, Exxon/Mobil, etc.) have employed Indian resources to help them with their data, their computerized decision support and their knowledge management. With large corporations opening the path to India, it has allowed a substantial communications and decision-support infrastructure to develop in a number of Indian cities. Therefore, opportunities have emerged for both...

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Nowadays, knowledge-based management systems include data warehouses as their core components. The purpose of building a data warehouse is twofold. Firstly, to integrate multiple heterogeneous, autonomous, and distributed data sources within an enterprise. Secondly, to provide a platform for advanced, complex, and efficient data analysis. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical...

Knowledge management (KM) is a set of relatively-new organizational activities that are aimed at improving knowledge, knowledge-related practices, organizational behaviors and decisions and organizational performance. KM focuses on knowledge processes knowledge creation, acquisition, refinement, storage, transfer, sharing and utilization. These processes support organizational processes involving innovation, individual learning, collective learning and collaborative decision-making. The "intermediate outcomes" of KM are improved organizational behaviors, decisions, products, services,...

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach,...

Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization.

This edited book will provide a survey of the state of the art in this field by providing some invited reviews by...

Intelligence and Security Informatics (ISI) is defined as the study of the development and use of advanced information systems and technologies for national, international, and societal security-related applications. ISI topics include ISI data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal social network analysis, public health and bio-security, crime analysis, cyber-infrastructure protection, transportation infrastructure security, policy studies and evaluation, information assurance, and other related...

Infusing new products into a company or organization s product is imperative for the growth of that organization. In addition, New Product Development (NPD) does not necessarily happen in one place over a defined period of time. NPD is most often distributed in both space and time across a wide range of entities. Therefore, distributed information technology systems play a large role in developing new product lines.

INFORMATION TECHNOLOGY AND NEW PRODUCT DEVELOPMENT: A Research Agenda provides definition and research parameters that further theoretical concepts and insights on the...

The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. Many books and papers have been published on the semantic web (particularly by Springer), but nothing to date has specifically illustrated how applications can be used to acquire, integrate, and deliver knowledge in so many...