The research presented in this book discusses how to efficiently retrieve track and trace information for an item of interest that took a certain path through a complex network of manufacturers, wholesalers, retailers, and consumers. To this end, a super-ordinate system called "Discovery Service" is designed that has to handle large amounts of data, high insert-rates, and a high number of queries that are submitted to the discovery service. An example that is used throughout this book is the European pharmaceutical supply chain, which faces the challenge that more and more counterfeit medicinal products are being introduced. Between October and December 2008, more than 34 million fake drug pills were detected at customs control at the borders of the European Union. These fake drugs can put lives in danger as they were supposed to fight cancer, take effect as painkiller or antibiotics, among others. The concepts described in this book can be adopted for supply chain management use cases other than track and trace, such as recall, supply chain optimization, or supply chain analytics.

Over the past two decades, many advances have been made in the decision support system (DSS) field. They range from progress in fundamental concepts, to improved techniques and methods, to widespread use of commercial software for DSS development. Still, the depth and breadth of the DSS field continues to grow, fueled by the need to better support decision making in a world that is increasingly complex in terms of volume, diversity, and interconnectedness of the knowledge on which decisions can be based. This continuing growth is facilitated by increasing computer power and decreasing per-unit computing costs. But, it is spearheaded by the multifaceted efforts of DSS researchers. The collective work of these researchers runs from the speculative to the normative to the descriptive. It includes analysis of what the field needs, designs of means for meeting recognized needs, and implementations for study. It encompasses theoretical, empirical, and applied orientations. It is concerned with the invention of concepts, frameworks, models, and languages for giving varied, helpful perspectives. It involves the discovery of principles, methods, and techniques for expeditious construction of successful DSSs. It aims to create computer-based tools that facilitate DSS development. It assesses DSS efficacy by observing systems, their developers, and their users. This growing body of research continues to be fleshed out and take shape on a strong, but still-developing, skeletal foundation.

The main purpose of this paper is to contribute to the discussion about the design of computer and communication systems that can aid the management process. 1.1 Historical Overview We propose that Decision Support System can be considered as a design conception conceived within the computer industry to facilitate the use of computer technology in organisations (Keen, 1991). This framework, built during the late 1970s, offers computer and communication technology as support to the decision process which constitutes, in this view, the core of the management process. The DSS framework offers the following capabilities: * Access: ease of use, wide variety of data, analysis and modelling capacity. * Technological: software gel)eration tools. * Development modes: interactive and evolutionary. Within this perspective, computer and communication technologies are seen as an amplification of the human data processing capabilities which limit the decision process. Thus, the human being is understood metaphorically as a data processing machine. Mental processes are associated with the manipulation of symbols aOO human communication to signal transmission.

Business information systems and business information technology are integral aspects of modern business, and managers in these areas are now expected to have knowledge of human and managerial issues, as well as technical ones. This concise and readable book is a level-by-level primer that addresses the core subjects in business information systems and business information technology to enhance students' understanding of the key areas. Each chapter begins with a case study and features at the end: a summary of major points, glossary of terms, suggested further reading and student activities. Some areas covered include: Different functional areas of business, including accounting, HRM and marketing Development and implementation of information systems Methods to support the analysis and design of policy and practice Strategic management to align information technology with organizational needs Covering the subject matter in a highly accessible manner, this is an ideal text for both undergraduate and masters students on business information systems, business information technology and business information management courses. This text is supplemented with over 900 detailed powerpoint slides for instructors, accessible via the Routledge Instructor Resource page at http://cw.routledge.com/textbooks/instructordownload/

Software product lines represent perhaps the most exciting paradigm shift in software development since the advent of high-level programming languages. Nowhere else in software engineering have we seen such breathtaking improvements in cost, quality, time to market, and developer productivity, often registering in the order-of-magnitude range. Here, the authors combine academic research results with real-world industrial experiences, thus presenting a broad view on product line engineering so that both managers and technical specialists will benefit from exposure to this work. They capture the wealth of knowledge that eight companies have gathered during the introduction of the software product line engineering approach in their daily practice.

Global Enterprise Transitions: Managing the Process addresses the importance of information technology management and issues in operating information systems in the global dynamic business environment. This book embraces discussions of the global information technology theory, frameworks and IT architecture, discovery of global knowledge management, improvement of the global information systems development methodologies, and applications of the latest technologies such as mobile technology and web services in the global information systems development and operations.

This book provides a coherent overview of the most important modelling-related security techniques available today, and demonstrates how to combine them. Further, it describes an integrated set of systematic practices that can be used to achieve increased security for software from the outset, and combines practical ways of working with practical ways of distilling, managing, and making security knowledge operational. The book addresses three main topics: (1) security requirements engineering, including security risk management, major activities, asset identification, security risk analysis and defining security requirements; (2) secure software system modelling, including modelling of context and protected assets, security risks, and decisions regarding security risk treatment using various modelling languages; and (3) secure system development, including effective approaches, pattern-driven development, and model-driven security. The primary target audience of this book is graduate students studying cyber security, software engineering and system security engineering. The book will also benefit practitioners interested in learning about the need to consider the decisions behind secure software systems. Overall it offers the ideal basis for educating future generations of security experts.

The Remote Work Handbook: The Definitive Guide for Operationalizing Remote Work as a Competitive Business Strategy is for readers seeking to leverage the business benefits of a flexible, remote workforce. It is a practical guide for building and implementing remote work at any size organization. C-suite executives, operation leaders, business owners, or entrepreneurs who recognize the workplace is changing can use it to re-tool their operations for a strategic business advantage. Mari Anne Snow, the author, is a recognized remote work expert with over 20 years of experience leading remote teams and has re-written the rules of leadership to unlock the potential in remote and distributed teams. In this book, she shares all her secrets. The book explores the untapped potential of remote teams and lays out the business case for adopting a new, flexible workplace model to build organizational resilience and a competitive edge. It takes the reader through the step-by-step process of constructing a remote work operating model, staging an implementation, then institutionalizing and sustaining the change. It includes down-to-earth professional and personal stories that alert the reader to the top priorities and operational realities they will face as they craft their own implementation plan for operationalizing remote work at their company.

This proceedings volume brings together the results of a corporate discussion on research, academic teaching and education in the field of business and economics in the context of globalization. The contributions examine leadership and sustainability, quality and governance and the internationalization of higher education. With a particular focus on business education and business schools, the book discusses the labor market and modernization as well as contemporary trends and challenges. By including both academic papers and contributions from industry, it forges research links between academia, business and industry.

Advanced Topics in Global Information Management is a series of books that examine global information management (GIM), and its research and implications. GIM research continues to progress, with some scholars pushing the boundaries of thinking and others challenging the status quo. ""Advanced Topics in Global Information Management, Volume 5"" is a part of this series. ""Advanced Topics in Global Information Management, Volume 5"" discusses how many businesses exist in a global environment. Whether they are large or small companies, they may have suppliers or customers that reside in different geographical locations. The ability to function in this global environment has been facilitated by the use of information technology. Through research projects, this book addresses the ability of both large and small business, and government, from the national level to local level, to function in altered environments by using information technology. In all of these situations, both businesses and governments must be able to function and respond to various stakeholders by adopting the appropriate, and necessary, cultural perspective.

Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge.

Here's a broad, integrated view of existing communications technologies available world-wide -- including the Internet and Web, digital mobile telephony, ISDN, SMDS, frame relay, and ATM -- from a practical business perspective. Covering both private and public networks, the book offers a basic explanation of a wide range of technologies and describes their underlying principles and features, as well as the factors that differentiate them. The guide also showcases typical applications, exposes inherent limitations, explains pricing and methods of comparison, and discusses security pitfalls and protection systems.

Charged with ensuring the confidentiality, integrity, availability, and delivery of all forms of an entity's information, Information Assurance (IA) professionals require a fundamental understanding of a wide range of specializations, including digital forensics, fraud examination, systems engineering, security risk management, privacy, and compliance. Establishing this understanding and keeping it up to date requires a resource with coverage as diverse as the field it covers. Filling this need, the Encyclopedia of Information Assurance presents an up-to-date collection of peer-reviewed articles and references written by authorities in their fields. From risk management and privacy to auditing and compliance, the encyclopedia's four volumes provide comprehensive coverage of the key topics related to information assurance. This complete IA resource: Supplies the understanding needed to help prevent the misuse of sensitive information Explains how to maintain the integrity of critical systems Details effective tools, techniques, and methods for protecting personal and corporate data against the latest threats Provides valuable examples, case studies, and discussions on how to address common and emerging IA challenges Placing the wisdom of leading researchers and practitioners at your fingertips, this authoritative reference provides the knowledge and insight needed to avoid common pitfalls and stay one step ahead of evolving threats. Also Available OnlineThis Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

This is a compilation of papers presented at the Information System Concepts conference in Marburg, Germany. The special focus is consolidation and harmonisation of the numerous and widely diverging views in the field of information systems. This issue has become a hot topic, as many leading information system researchers and practitioners come to realise the importance of better communication among the members of the information systems community, and of a better scientific foundation of this rapidly evolving field.

Current database technology and computer hardware allow us to gather, store, access, and manipulate massive volumes of raw data in an efficient and inexpensive manner. In addition, the amount of data collected and warehoused in all industries is growing every year at a phenomenal rate. Nevertheless, our ability to discover critical, non-obvious nuggets of useful information in data that could influence or help in the decision making process, is still limited. Knowledge discovery (KDD) and Data Mining (DM) is a new, multidisciplinary field that focuses on the overall process of information discovery from large volumes of data. The field combines database concepts and theory, machine learning, pattern recognition, statistics, artificial intelligence, uncertainty management, and high-performance computing. To remain competitive, businesses must apply data mining techniques such as classification, prediction, and clustering using tools such as neural networks, fuzzy logic, and decision trees to facilitate making strategic decisions on a daily basis. Knowledge Discovery for Business Information Systems contains a collection of 16 high quality articles written by experts in the KDD and DM field from the following countries: Austria, Australia, Bulgaria, Canada, China (Hong Kong), Estonia, Denmark, Germany, Italy, Poland, Singapore and USA.

Data mining is the process of extracting hidden patterns from data, and it's commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis' best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

This book examines the requirements, risks, and solutions to improve the security and quality of complex cyber-physical systems (C-CPS), such as production systems, power plants, and airplanes, in order to ascertain whether it is possible to protect engineering organizations against cyber threats and to ensure engineering project quality. The book consists of three parts that logically build upon each other. Part I "Product Engineering of Complex Cyber-Physical Systems" discusses the structure and behavior of engineering organizations producing complex cyber-physical systems, providing insights into processes and engineering activities, and highlighting the requirements and border conditions for secure and high-quality engineering. Part II "Engineering Quality Improvement" addresses quality improvements with a focus on engineering data generation, exchange, aggregation, and use within an engineering organization, and the need for proper data modeling and engineering-result validation. Lastly, Part III "Engineering Security Improvement" considers security aspects concerning C-CPS engineering, including engineering organizations' security assessments and engineering data management, security concepts and technologies that may be leveraged to mitigate the manipulation of engineering data, as well as design and run-time aspects of secure complex cyber-physical systems. The book is intended for several target groups: it enables computer scientists to identify research issues related to the development of new methods, architectures, and technologies for improving quality and security in multi-disciplinary engineering, pushing forward the current state of the art. It also allows researchers involved in the engineering of C-CPS to gain a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in their future research and development activities. Lastly, it offers practicing engineers and managers with engineering backgrounds insights into the benefits and limitations of applicable methods, architectures, and technologies for selected use cases.

Like the first edition,Competing in the Information Age: Align in the Sand, Second Edition, synthesizes for practicing managers the compelling, recent work in this area, with themes that focus on the continuous transformation in business, the adoption of information intensive management practices, the improvement of information processing, and the alignment of business strategy and information technology strategy. Information technology management is now considered a core competency among managers. Rapid advancements in technology, dynamic markets, and the changing business environment have created increased demand for professionals who can manage and deliver information systems. Information systems professionalsChief Information Officers, Chief Knowledge Officers, as well as CFOs and CEOsare required to lead and evolve information resources while partnering with corporate management. This book shows IT professionals how to help their organizations achieve success through alignment and deployment of business and IT strategies.

Innovation, agility, and coordination are paramount in the support of value in the global knowledge economy. Therefore, the long-term success of a company is increasingly dependent on its underlying resilience and agility. ""Knowledge Reuse and Agile Processes"" addresses flexibility of both business and information systems through component technology at the nexus of three seemingly unrelated disciplines: service-oriented architecture, knowledge management, and business process management. Providing practitioners and academicians with timely, compelling research on agile, adaptive processes and information systems, this premier reference source will enhance the collection of every reference library.

This book examines how fuzzy methods can be employed to manage service levels in business and IT alignment. It starts by mapping the dependencies of service level agreements, coming up with gradual and bi-polar concepts to eventually classify the level of coupling by intuitionistic fuzzy sets. The second part presents an approach to analyze the impact of service failures using intuitionistic fuzzy methods (IFSFIA). Lastly, the third part of the book extends the concept towards business and IT-aligned service-level engineering and provides two use cases.

There are two types of readers that will find this book useful: those who have an interest in the Metadatabase model as an integration technology, and those who also seek a general discussion on information system analysis and design. To this end, a general conceptual framework on enterprise integration and modeling is provided in the first chapter, and is used to tie together all of the remaining chapters of the book. The next two chapters present some basics and examples of systems analysis and design for enterprise modeling; which serve the purposes of general discussion on the subject as well as illustrating the modeling methods particular to the Metadatabase approach. The particular methods are discussed fully in Chapter 4. An overview of the Metadatabase Model is provided in Chapter 5 and illustrated with a paper demonstration' of a basic Metadatabase prototype in Chapter 6. The main technical elements of the model are presented in Chapters 7-9. The model is then applied to manufacturing in Chapter 10, where a core information model for implementing the Metadatabase approach to integration is also included. Chapter 11 extends the Metadatabase technology into the realm of information visualization. The new user interface model developed can be applied to integrate the traditional management of information in an enterprise with new cyberspace applications such as electronic commerce. The Metadatabase model of enterprise information integration (for multiple systems) has been developed at Rensselaer Polytechnic Institute under the sponsorships of Alcoa, Digital, GE, GM, and IBM (from 1986-1995 through the Computer-Integrated Manufacturing and the Adaptive Integrated ManufacturingEnterprises programs), the National Science Foundation (since 1991), Samsung (since 1995), and U.S. Army (since 1995). The technology is being developed into a product for Samsung and the Army. This is the first expository book on the topic.

This book analyses quantitative open source software (OSS) reliability assessment and its applications, focusing on three major topic areas: the Fundamentals of OSS Quality/Reliability Measurement and Assessment; the Practical Applications of OSS Reliability Modelling; and Recent Developments in OSS Reliability Modelling. Offering an ideal reference guide for graduate students and researchers in reliability for open source software (OSS) and modelling, the book introduces several methods of reliability assessment for OSS including component-oriented reliability analysis based on analytic hierarchy process (AHP), analytic network process (ANP), and non-homogeneous Poisson process (NHPP) models, the stochastic differential equation models and hazard rate models. These measurement and management technologies are essential to producing and maintaining quality/reliable systems using OSS.

As the global economy turns more and more service oriented, Information Technology-Enabled Services (ITeS) require greater understanding. Increasing numbers and varieties of services are provided through IT. Furthermore, IT enables the creation of new services in diverse fields previously untouched. Because of the catalyzing nature of internet technology, ITeS today has become more than "Outsourcing" of services. This book illustrates the enabling nature of ITeS with its entailment of IT, thus contributing to the betterment of humanity. The scope of this book is not only for academia but also for business persons, government practitioners and readers from daily lives. Authors from a variety of nations and regions with various backgrounds provide insightful theories, research, findings and practices in various fields such as commerce, finance, medical services, government and education. This book opens up a new horizon with the application of Internet-based practices in business, government and in daily lives. Information Technology-Enabled Services works as a navigator for those who sail to the new horizon of service oriented economies.

Foundations of Social Entrepreneurship presents definitions of social entrepreneurship, explains its benefits and challenges, describes the components of an ecosystem of support, and presents practical tools to approach social entrepreneurial projects. It is designed to be easily approachable by anyone without prior in-depth knowledge of the subject. The book is divided into two parts; the first provides readers with theoretical foundations to understand the phenomenon of social entrepreneurship, its different interpretations, the context in which it developed, and its socio-economic function. The second part of the book covers what it takes to create and manage a social entrepreneurial initiative. Pedagogical features are incorporated throughout to aid learning. They include summary tables, international case studies of social entrepreneurs from both developed and emerging economies, as well as suggested exercises and examples of how the tools presented are used in practice. Truly global in its scope, with a strong emphasis on combining theory with practice, this text should be core reading for advanced undergraduate and postgraduate students studying Social Entrepreneurship, Enterprise, and Responsible Business. Online resources include links to resources, chapter-by-chapter PowerPoint slides and instructor's manual.

Traditional business practices have been left behind due to the increased use of data analytics and information technology in companies worldwide. This development has led to businesses implementing transformative projects that use these new technologies in their decision-making systems. Altering the entire architecture of a company is a daunting task; however, researchers are finding methods through applied mathematics that can make it easier on companies. Implementing analytical models into current business processes is vital for professionals across the globe. Using Applied Mathematical Models for Business Transformation is an essential reference source that discusses the advancement of decision-making systems in business environments with the use of applied mathematics, algorithms, and information technology. Featuring research on topics such as decision-making systems, critical success factors, and global enterprise architecture, this book is ideally designed for project managers, financial analysts, business strategists, software engineers, technical architects, students, researchers, and educators seeking coverage on the transformation of business practices using applied mathematics and information technology.